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A Survey on Efficient Convolutional Neural Networks and Hardware Acceleration
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-01246-5_2openalex-snapshot
Progressive Neural Architecture Search
inferredcites →https://doi.org/10.1007/978-3-030-58526-6_31openalex-snapshot
Stable Low-Rank Tensor Decomposition for Compression of Convolutional Neural Network
inferredcites →https://doi.org/10.1007/978-3-030-58529-7_2openalex-snapshot
Online Ensemble Model Compression Using Knowledge Distillation
inferredcites →https://doi.org/10.1007/978-3-319-46493-0_32openalex-snapshot
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
inferredcites →https://doi.org/10.1007/s40747-021-00308-xopenalex-snapshot
Heuristic rank selection with progressively searching tensor ring network
inferredcites →https://doi.org/10.1016/b978-0-12-815480-9.00015-3openalex-snapshot
Evolving Deep Neural Networks
inferredcites →https://doi.org/10.1016/j.neucom.2020.02.035openalex-snapshot
Sparse low rank factorization for deep neural network compression
inferredcites →https://doi.org/10.1016/j.neunet.2020.07.028openalex-snapshot
Compressing 3DCNNs based on tensor train decomposition
inferredcites →https://doi.org/10.1109/access.2018.2877890openalex-snapshot
Benchmark Analysis of Representative Deep Neural Network Architectures
inferredcites →https://doi.org/10.1109/access.2020.3022327openalex-snapshot
APNAS: Accuracy-and-Performance-Aware Neural Architecture Search for Neural Hardware Accelerators
inferredcites →https://doi.org/10.1109/access.2021.3099856openalex-snapshot
Teaching Yourself: A Self-Knowledge Distillation Approach to Action Recognition
inferredcites →https://doi.org/10.1109/bigcomp.2017.7881725openalex-snapshot
CP-decomposition with Tensor Power Method for Convolutional Neural Networks compression
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.643openalex-snapshot
Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning
inferredcites →https://doi.org/10.1109/cvpr.2018.00286openalex-snapshot
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
inferredcites →https://doi.org/10.1109/cvpr.2018.00716openalex-snapshot
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
inferredcites →https://doi.org/10.1109/cvpr.2018.00907openalex-snapshot
Learning Transferable Architectures for Scalable Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00958openalex-snapshot
NISP: Pruning Networks Using Neuron Importance Score Propagation
inferredcites →https://doi.org/10.1109/cvpr.2019.00293openalex-snapshot
MnasNet: Platform-Aware Neural Architecture Search for Mobile
inferredcites →https://doi.org/10.1109/cvpr.2019.00447openalex-snapshot
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
inferredcites →https://doi.org/10.1109/cvpr.2019.00448openalex-snapshot
Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00160openalex-snapshot
HRank: Filter Pruning Using High-Rank Feature Map
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00215openalex-snapshot
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00232openalex-snapshot
Forward and Backward Information Retention for Accurate Binary Neural Networks
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01103openalex-snapshot
Online Knowledge Distillation via Collaborative Learning
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00243openalex-snapshot
NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00439openalex-snapshot
ReNAS: Relativistic Evaluation of Neural Architecture Search
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01052openalex-snapshot
Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01053openalex-snapshot
Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00347openalex-snapshot
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification
inferredcites →https://doi.org/10.1109/dac18072.2020.9218596openalex-snapshot
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator
inferredcites →https://doi.org/10.1109/dac18072.2020.9218638openalex-snapshot
PattPIM: A Practical ReRAM-Based DNN Accelerator by Reusing Weight Pattern Repetitions
inferredcites →https://doi.org/10.1109/hotchips.2011.7477494openalex-snapshot
Hybrid memory cube (HMC)
inferredcites →https://doi.org/10.1109/hpec.2019.8916385openalex-snapshot
Training Behavior of Sparse Neural Network Topologies
inferredcites →https://doi.org/10.1109/icassp.2014.6854828openalex-snapshot
Singular value decomposition based low-footprint speaker adaptation and personalization for deep neural network
inferredcites →https://doi.org/10.1109/iccv.2017.298openalex-snapshot
Learning Efficient Convolutional Networks through Network Slimming
inferredcites →https://doi.org/10.1109/iccv.2017.460openalex-snapshot
Domain-Adaptive Deep Network Compression
inferredcites →https://doi.org/10.1109/iccv.2017.541openalex-snapshot
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
inferredcites →https://doi.org/10.1109/iccv.2019.00143openalex-snapshot
Knowledge Distillation via Route Constrained Optimization
inferredcites →https://doi.org/10.1109/iccv.2019.00190openalex-snapshot
AutoDispNet: Improving Disparity Estimation With AutoML
inferredcites →https://doi.org/10.1109/icip.2018.8451123openalex-snapshot
Online Filter Clustering and Pruning for Efficient Convnets
inferredcites →https://doi.org/10.1109/isca.2018.00069openalex-snapshot
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network
inferredcites →https://doi.org/10.1109/jetcas.2019.2910232openalex-snapshot
Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices
inferredcites →https://doi.org/10.1109/jetcas.2021.3127932openalex-snapshot
QS-NAS: Optimally Quantized Scaled Architecture Search to Enable Efficient On-Device Micro-AI
inferredcites →https://doi.org/10.1109/jiot.2021.3063147openalex-snapshot
On-Device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective
inferredcites →https://doi.org/10.1109/jssc.2016.2616357openalex-snapshot
Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/jssc.2017.2778281openalex-snapshot
A High Energy Efficient Reconfigurable Hybrid Neural Network Processor for Deep Learning Applications
inferredcites →https://doi.org/10.1109/jssc.2018.2865489openalex-snapshot
UNPU: An Energy-Efficient Deep Neural Network Accelerator With Fully Variable Weight Bit Precision
inferredcites →https://doi.org/10.1109/jssc.2020.3043870openalex-snapshot
SNAP: An Efficient Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference
inferredcites →https://doi.org/10.1109/jssc.2022.3141050openalex-snapshot
BitBlade: Energy-Efficient Variable Bit-Precision Hardware Accelerator for Quantized Neural Networks
inferredcites →https://doi.org/10.1109/micro.2016.7783722openalex-snapshot
Stripes: Bit-serial deep neural network computing
inferredcites →https://doi.org/10.1109/micro.2016.7783723openalex-snapshot
Cambricon-X: An accelerator for sparse neural networks
inferredcites →https://doi.org/10.1109/micro.2018.00011openalex-snapshot
Cambricon-S: Addressing Irregularity in Sparse Neural Networks through A Cooperative Software/Hardware Approach
inferredcites →https://doi.org/10.1109/tac.1980.1102314openalex-snapshot
The singular value decomposition: Its computation and some applications
inferredcites →https://doi.org/10.1109/tcad.2017.2682138openalex-snapshot
YodaNN: An Architecture for Ultralow Power Binary-Weight CNN Acceleration
inferredcites →https://doi.org/10.1109/tcad.2018.2857019openalex-snapshot
XNOR Neural Engine: A Hardware Accelerator IP for 21.6-fJ/op Binary Neural Network Inference
inferredcites →https://doi.org/10.1109/tcad.2021.3058317openalex-snapshot
Hardware-Enabled Efficient Data Processing With Tensor-Train Decomposition
inferredcites →https://doi.org/10.1109/tcsvt.2016.2592330openalex-snapshot
Origami: A 803-GOp/s/W Convolutional Network Accelerator
inferredcites →https://doi.org/10.1109/tpami.2015.2502579openalex-snapshot
Accelerating Very Deep Convolutional Networks for Classification and Detection
inferredcites →https://doi.org/10.1109/tpami.2018.2874634openalex-snapshot
Shallowing Deep Networks: Layer-Wise Pruning Based on Feature Representations
inferredcites →https://doi.org/10.1109/tpami.2020.3035351openalex-snapshot
One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting
inferredcites →https://doi.org/10.1109/wacv51458.2022.00358openalex-snapshot
Progressive Automatic Design of Search Space for One-Shot Neural Architecture Search
inferredcites →https://doi.org/10.1117/12.20700openalex-snapshot
Weight discretization paradigm for optical neural networks
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3071178.3071229openalex-snapshot
A genetic programming approach to designing convolutional neural network architectures
inferredcites →https://doi.org/10.1145/3079856.3080246openalex-snapshot
In-Datacenter Performance Analysis of a Tensor Processing Unit
inferredcites →https://doi.org/10.1162/106365602320169811openalex-snapshot
Evolving Neural Networks through Augmenting Topologies
inferredcites →https://doi.org/10.21437/interspeech.2017-614openalex-snapshot
Efficient Knowledge Distillation from an Ensemble of Teachers
inferredcites →https://doi.org/10.23919/date.2018.8342121openalex-snapshot
Inference of quantized neural networks on heterogeneous all-programmable devices
inferredcites →https://doi.org/10.23919/fpl.2017.8056850openalex-snapshot
Scalable high-performance architecture for convolutional ternary neural networks on FPGA
inferredcites →https://doi.org/10.24963/ijcai.2018/309openalex-snapshot
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.3390/app9101966openalex-snapshot
Layer-Level Knowledge Distillation for Deep Neural Network Learning
inferredcites →https://doi.org/10.3390/electronics10010072openalex-snapshot
Layer-Wise Network Compression Using Gaussian Mixture Model
inferredcites →https://doi.org/10.3390/electronics10030230openalex-snapshot
Reconfigurable Binary Neural Network Accelerator with Adaptive Parallelism Scheme
inferredcites →https://doi.org/10.48550/arxiv.1412.6553openalex-snapshot
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition
inferredcites →https://doi.org/10.48550/arxiv.1506.02626openalex-snapshot
Learning both Weights and Connections for Efficient Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1510.00149openalex-snapshot
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
inferredcites →https://doi.org/10.48550/arxiv.1511.00363openalex-snapshot
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
inferredcites →https://doi.org/10.48550/arxiv.1511.06530openalex-snapshot
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
inferredcites →https://doi.org/10.48550/arxiv.1609.07061openalex-snapshot
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
inferredcites →https://doi.org/10.48550/arxiv.1611.01578openalex-snapshot
Neural Architecture Search with Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1702.03044openalex-snapshot
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
inferredcites →https://doi.org/10.48550/arxiv.1707.01786openalex-snapshot
Tensor-Train Recurrent Neural Networks for Video Classification
inferredcites →https://doi.org/10.48550/arxiv.1708.05344openalex-snapshot
SMASH: One-Shot Model Architecture Search through HyperNetworks
inferredcites →https://doi.org/10.48550/arxiv.1710.01878openalex-snapshot
To prune, or not to prune: exploring the efficacy of pruning for model compression
inferredcites →https://doi.org/10.48550/arxiv.1711.00436openalex-snapshot
Hierarchical Representations for Efficient Architecture Search
inferredcites →https://doi.org/10.48550/arxiv.1802.05668openalex-snapshot
Model compression via distillation and quantization
inferredcites →https://doi.org/10.48550/arxiv.1803.03635openalex-snapshot
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1806.05393openalex-snapshot
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1908.09791openalex-snapshot
Once-for-All: Train One Network and Specialize it for Efficient Deployment
inferredcites →https://doi.org/10.48550/arxiv.1909.12778openalex-snapshot
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A Fully Pipelined Reconfigurable Max–Average Pooling Architecture for FPGA-Based CNN Accelerators
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096823openalex-snapshot
Spatial Cross-Attention for Transformer-Based Image Captioning
inferred← citeshttps://doi.org/10.1109/iccma59762.2023.10374802openalex-snapshot
Competitive Reinforcement Learning Agents with Adaptive Networks
inferred← citeshttps://doi.org/10.1109/iccr67387.2025.11291953openalex-snapshot
Anomaly Detection in Corporate IT Infrastructure Using Spiking Neural Networks with Temporal Encoding
inferred← citeshttps://doi.org/10.1109/iccr67387.2025.11292217openalex-snapshot
Cross-Device Evidence Mapping in Cybercrime Investigations Using Siamese Neural Networks
inferred← citeshttps://doi.org/10.1109/iccr67387.2025.11292560openalex-snapshot
Employee Behavior Prediction in Government Networks Using Long Short-Term Memory Networks
inferred← citeshttps://doi.org/10.1109/iceei68459.2025.11331306openalex-snapshot
Spiking Neural Networks for Real-Time Threat Detection in High-Frequency Trading Systems
inferred← citeshttps://doi.org/10.1109/icnc-fskd59587.2023.10281072openalex-snapshot
A Survey on Image Classification of Lightweight Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/icspc68261.2025.11326348openalex-snapshot
Performance of Fused Multi-Stage Transfer Learning in Classification of Grape Diseases
inferred← citeshttps://doi.org/10.1109/icwite64848.2025.11306922openalex-snapshot
Dynamic Energy-Aware Deep Learning Framework using Adaptive Neural Architectures for Sustainable AI
inferred← citeshttps://doi.org/10.1109/iitcee67948.2026.11394409openalex-snapshot
Evaluation of CNN Models and Benchmark to the Hardware Accelerator
inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191617openalex-snapshot
Efficient Early Warning System in Identifying Enset Bacterial Wilt Disease using Transfer Learning
inferred← citeshttps://doi.org/10.1109/indin51400.2023.10217897openalex-snapshot
Using differential equation inspired machine learning for valve faults prediction
inferred← citeshttps://doi.org/10.1109/isai-nlp60301.2023.10354694openalex-snapshot
Decentralized Federated Learning for Agricultural Plant Diseases Identification on Edge Devices
inferred← citeshttps://doi.org/10.1109/iscas66217.2026.11562588openalex-snapshot
Approximate Signed Multiplier Designs for Efficient CNN Inference
inferred← citeshttps://doi.org/10.1109/iscc65549.2025.11326439openalex-snapshot
Design and Deployment of a Standard Framework for Audio Neural Networks Embedding Models
inferred← citeshttps://doi.org/10.1109/isml60050.2024.11007370openalex-snapshot
A Review of Deep Learning Methods for Early Prediction of Pancreatic Cancer in High-Risk Populations
inferred← citeshttps://doi.org/10.1109/ispass57527.2023.00033openalex-snapshot
Sunstone: A Scalable and Versatile Scheduler for Mapping Tensor Algebra on Spatial Accelerators
inferred← citeshttps://doi.org/10.1109/ispcem60569.2023.00063openalex-snapshot
Research on Building Crack Width Monitoring Method Based on Computer Vision
inferred← citeshttps://doi.org/10.1109/itc-egypt61547.2024.10620484openalex-snapshot
Enhancing Acute Ischemic Stroke Diagnosis Using IoMT and Deep Learning Technologies
inferred← citeshttps://doi.org/10.1109/jiot.2025.3543213openalex-snapshot
High-Throughput and Energy-Efficient FPGA-Based Accelerator for All Adder Neural Networks
inferred← citeshttps://doi.org/10.1109/jiot.2025.3627085openalex-snapshot
STPE: A Shared-Register and Multiplier Allocation Processing Element for Block-Based Sparse Matrix Multiplication
inferred← citeshttps://doi.org/10.1109/lsens.2026.3725657openalex-snapshot
Spiking-Based UAV RF Identification
inferred← citeshttps://doi.org/10.1109/lsp.2025.3577924openalex-snapshot
A Novel Pruning Algorithm Based on Data-Driven and Knowledge-Driven Global Channel Pruning
inferred← citeshttps://doi.org/10.1109/metroxraine66377.2025.11340306openalex-snapshot
Advanced Knowledge Distillation Pipeline with Dynamic Weighted-Smoothed Loss for a Robust Deep Network Deployment in Resource-Constrained Embedded Systems
inferred← citeshttps://doi.org/10.1109/mwscas57524.2023.10405922openalex-snapshot
Design Space Exploration in the Physical-Design of an AI-Processor at 12 nm Using Relative-Placement Methodology
inferred← citeshttps://doi.org/10.1109/scm62608.2024.10554099openalex-snapshot
Improving ANN Efficiency using PostgreSQL
inferred← citeshttps://doi.org/10.1109/socc62300.2024.10737757openalex-snapshot
Energy-Efficient and Communication-Aware Architectures for Accelerating Deep Learning Workloads
inferred← citeshttps://doi.org/10.1109/tai.2023.3311776openalex-snapshot
Embedded Deep Learning Accelerators: A Survey on Recent Advances
inferred← citeshttps://doi.org/10.1109/taslpro.2026.3703169openalex-snapshot
From General-Purpose Audio Tagging to Real-Time Emergency Vehicle Siren Detection
inferred← citeshttps://doi.org/10.1109/tc.2026.3688666openalex-snapshot
From SMURF to HI-SMURF: Scalable Multivariate Nonlinear Function Approximation via Compact Stochastic Architectures
inferred← citeshttps://doi.org/10.1109/tccn.2023.3329000openalex-snapshot
Channel Pruning Method for Signal Modulation Recognition Deep Learning Models
inferred← citeshttps://doi.org/10.1109/tccn.2026.3705804openalex-snapshot
Energy-Efficient Radio Modulation Classification via CNN-to-CSNN Conversion
inferred← citeshttps://doi.org/10.1109/tcsi.2024.3371780openalex-snapshot
Low Complexity Deep Learning Augmented Wireless Channel Estimation for Pilot-Based OFDM on Zynq System on Chip
inferred← citeshttps://doi.org/10.1109/tcsi.2025.3641204openalex-snapshot
Precision-Specific Efficient Designs and FPGA Implementation of Sigmoid for Machine Learning
inferred← citeshttps://doi.org/10.1109/tem.2022.3224290openalex-snapshot
Analysis of Financial Data Risk and Network Information Security by Blockchain Technology and Edge Computing
inferred← citeshttps://doi.org/10.1109/tim.2024.3351229openalex-snapshot
A Low-Power Hierarchical CNN Hardware Accelerator for Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tmc.2025.3588430openalex-snapshot
Mitigating Tail Latency for On-Device Inference With Load-Balanced Heterogeneous Models
inferred← citeshttps://doi.org/10.1109/tnano.2026.3728685openalex-snapshot
An Energy-Efficient RFET-Based Stochastic Computing Neural Network Accelerator
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3339470openalex-snapshot
Dual Accuracy-Quality-Driven Neural Network for Prediction Interval Generation
inferred← citeshttps://doi.org/10.1109/tpami.2023.3334614openalex-snapshot
Structured Pruning for Deep Convolutional Neural Networks: A Survey
inferred← citeshttps://doi.org/10.1109/tpami.2024.3447085openalex-snapshot
A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations
inferred← citeshttps://doi.org/10.1109/trpms.2024.3474708openalex-snapshot
A New Ensemble Transfer Learning Approach With Rejection Mechanism for Tuberculosis Disease Detection
inferred← citeshttps://doi.org/10.1109/tvlsi.2024.3360240openalex-snapshot
Reliable Hardware Watermarks for Deep Learning Systems
inferred← citeshttps://doi.org/10.1109/tvt.2024.3390997openalex-snapshot
Adaptive Spatio-Temporal Relation Based Transformer for Traffic Flow Prediction
inferred← citeshttps://doi.org/10.1109/ur61395.2024.10597463openalex-snapshot
Enhancing Human-Robot Interaction: Integrating ASL Recognition and LLM-Driven Co-Speech Gestures in Pepper Robot with a Compact Neural Network
inferred← citeshttps://doi.org/10.1109/vlsi-soc54400.2022.9939617openalex-snapshot
High Level Synthesis Acceleration of Change Detection in Multi-Temporal High Resolution Sentinel-2 Satellite Images
inferred← citeshttps://doi.org/10.1109/wacv61042.2026.00530openalex-snapshot
One-Cycle Structured Pruning via Stability-Driven Subnetwork Search
inferred← citeshttps://doi.org/10.1126/sciadv.adk0024openalex-snapshot
Broadband and large-aperture metasurface edge encoders for incoherent infrared radiation
inferred← citeshttps://doi.org/10.1142/s2301385025500669openalex-snapshot
Advancements in UAV Path Planning: A Deep Reinforcement Learning Approach with Soft Actor-Critic for Enhanced Navigation
inferred← citeshttps://doi.org/10.1145/3587095openalex-snapshot
Resource-Efficient Convolutional Networks: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques
inferred← citeshttps://doi.org/10.1145/3623402openalex-snapshot
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification
inferred← citeshttps://doi.org/10.1145/3649329.3655691openalex-snapshot
VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge
inferred← citeshttps://doi.org/10.1145/3674029.3674073openalex-snapshot
EESiamese: Energy-efficient Siamese Neural Network for Constrained Devices
inferred← citeshttps://doi.org/10.1145/3700439openalex-snapshot
On Efficient Training of Large-Scale Deep Learning Models
inferred← citeshttps://doi.org/10.1145/3702641openalex-snapshot
TEC-CNN: Toward Efficient Compressing of Convolutional Neural Nets with Low-rank Tensor Decomposition
inferred← citeshttps://doi.org/10.1145/3759023.3759128openalex-snapshot
Real-Time Gun and Person Detection for Smart Surveillance
inferred← citeshttps://doi.org/10.1145/3769859openalex-snapshot
C-CIM: A Multi-Mode C onvolution-Capable SRAM- CIM
inferred← citeshttps://doi.org/10.1145/3777366openalex-snapshot
A Survey of FPGA-based 3D CNN Accelerators and Hardware-aware Algorithmic Optimizations
inferred← citeshttps://doi.org/10.1145/3789982.3790051openalex-snapshot
A Parametric Latency Model for Optimizing Edge AI Architectures
inferred← citeshttps://doi.org/10.12677/acpp.2025.145234openalex-snapshot
Transcending Concretization: Rethinking Simondon’s Theory of Technological Evolution—An Investigation Based on Convolutional Neural Networks
inferred← citeshttps://doi.org/10.13052/rp-9788770040723.021openalex-snapshot
Prediction of Paddy Crop Diseases Using Transfer Learning
inferred← citeshttps://doi.org/10.1371/journal.pone.0301093openalex-snapshot
Accuracy and efficiency stereo matching network with adaptive feature modulation
inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0140650openalex-snapshot
Enhancing COVID-19 Diagnosis Through a Hybrid CNN and Gray Wolf Optimizer Framework
inferred← citeshttps://doi.org/10.15649/2346075x.3553openalex-snapshot
Models of binary classification of the semantic colouring of texts
inferred← citeshttps://doi.org/10.1609/aaai.v38i11.29100openalex-snapshot
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold
inferred← citeshttps://doi.org/10.17694/bajece.1533966openalex-snapshot
Comparative Analysis of Deep Learning Algorithms in Fire Detection
inferred← citeshttps://doi.org/10.20944/preprints202310.0697.v1openalex-snapshot
EDDformer: A New Decoder for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery
inferred← citeshttps://doi.org/10.21203/rs.3.rs-6844035/v1openalex-snapshot
Machine Learning on Microcontrollers for Biological Sensing: A Systematic Review
inferred← citeshttps://doi.org/10.22215/etd/2022-15289openalex-snapshot
Optimization of Convolutional Neural Networks for Constrained Devices through Binarization
inferred← citeshttps://doi.org/10.23850/22565035.5805openalex-snapshot
Comparación de redes neuronales convolucionales (RNC) para la detección de plagas en el cultivo del durazno en departamento Norte de Santander, Colombia
inferred← citeshttps://doi.org/10.23919/iccas55662.2022.10003901openalex-snapshot
Lightweight Room Layout Estimation using a Single Panoramic Image
inferred← citeshttps://doi.org/10.23919/iccas63016.2024.10773379openalex-snapshot
A Study of Structured Pruning for Hybrid Neural Networks
inferred← citeshttps://doi.org/10.2478/jee-2026-0021openalex-snapshot
Layer-specific parallelization for FPGA-based convolutional neural network accelerators: Performance and resource evaluation
inferred← citeshttps://doi.org/10.24925/turjaf.v11i9.1751-1755.6359openalex-snapshot
İstatistiksel ve Derin Öğrenme Yöntemlerini Kullanarak Tarımsal Girdi Fiyat Endeksi'nin Tahmin Edilmesi
inferred← citeshttps://doi.org/10.32604/cmes.2025.067150openalex-snapshot
A Hybrid CNN-Transformer Framework for Normal Blood Cell Classification: Towards Automated Hematological Analysis
inferred← citeshttps://doi.org/10.3389/fnins.2023.1192993openalex-snapshot
Dual functional states of working memory realized by memristor-based neural network
inferred← citeshttps://doi.org/10.3389/fphy.2022.1037129openalex-snapshot
Automatic detection of sow posture and estrus based on convolutional neural network
inferred← citeshttps://doi.org/10.3389/fpls.2026.1801346openalex-snapshot
DH-GarlicNet: a precise identification method for garlic damage based on the improved residual network
inferred← citeshttps://doi.org/10.3389/frai.2023.1289669openalex-snapshot
Trends and hotspots in research on medical images with deep learning: a bibliometric analysis from 2013 to 2023
inferred← citeshttps://doi.org/10.3390/a17010022openalex-snapshot
Towards Full Forward On-Tiny-Device Learning: A Guided Search for a Randomly Initialized Neural Network
inferred← citeshttps://doi.org/10.3390/agronomy15051128openalex-snapshot
YOLO_SSP: An Auto-Algorithm to Detect Mature Soybean Stem Nodes Based on Keypoint Detection
inferred← citeshttps://doi.org/10.3390/ai5030064openalex-snapshot
Sustainable Machine Vision for Industry 4.0: A Comprehensive Review of Convolutional Neural Networks and Hardware Accelerators in Computer Vision
inferred← citeshttps://doi.org/10.3390/app12105216openalex-snapshot
Sigmoid Activation Implementation for Neural Networks Hardware Accelerators Based on Reconfigurable Computing Environments for Low-Power Intelligent Systems
inferred← citeshttps://doi.org/10.3390/app13010316openalex-snapshot
Magnitude and Similarity Based Variable Rate Filter Pruning for Efficient Convolution Neural Networks
inferred← citeshttps://doi.org/10.3390/app13159004openalex-snapshot
VLSI-Friendly Filtering Algorithms for Deep Neural Networks
inferred← citeshttps://doi.org/10.3390/app132312784openalex-snapshot
Implementation of the SoftMax Activation for Reconfigurable Neural Network Hardware Accelerators
inferred← citeshttps://doi.org/10.3390/bdcc7020111openalex-snapshot
Is My Pruned Model Trustworthy? PE-Score: A New CAM-Based Evaluation Metric
inferred← citeshttps://doi.org/10.3390/biomimetics11090667openalex-snapshot
A Two-Stage Allocation–Transportation Framework with Improved Holistic Swarm Optimization for Port Cargo Transportation Planning
inferred← citeshttps://doi.org/10.3390/biomimetics8080621openalex-snapshot
Complex-Exponential-Based Bio-Inspired Neuron Model Implementation in FPGA Using Xilinx System Generator and Vivado Design Suite
inferred← citeshttps://doi.org/10.3390/computation11090176openalex-snapshot
Filter Pruning with Convolutional Approximation Small Model Framework
inferred← citeshttps://doi.org/10.3390/drones8080408openalex-snapshot
Olive Tree Segmentation from UAV Imagery
inferred← citeshttps://doi.org/10.3390/e27121218openalex-snapshot
Handwritten Digit Recognition with Flood Simulation and Topological Feature Extraction
inferred← citeshttps://doi.org/10.3390/electronics11081212openalex-snapshot
A Novel Fusion Pruning Algorithm Based on Information Entropy Stratification and IoT Application
inferred← citeshttps://doi.org/10.3390/electronics11091365openalex-snapshot
FPGA Implementation for the Sigmoid with Piecewise Linear Fitting Method Based on Curvature Analysis
inferred← citeshttps://doi.org/10.3390/electronics11132073openalex-snapshot
Power-Efficient Trainable Neural Networks towards Accurate Measurement of Irregular Cavity Volume
inferred← citeshttps://doi.org/10.3390/electronics12051208openalex-snapshot
Deep Learning Architecture Improvement Based on Dynamic Pruning and Layer Fusion
inferred← citeshttps://doi.org/10.3390/electronics12071694openalex-snapshot
Pruning- and Quantization-Based Compression Algorithm for Number of Mixed Signals Identification Network
inferred← citeshttps://doi.org/10.3390/electronics12173623openalex-snapshot
Efficient and Lightweight Visual Tracking with Differentiable Neural Architecture Search
inferred← citeshttps://doi.org/10.3390/electronics13071376openalex-snapshot
Large Language Model Inference Acceleration Based on Hybrid Model Branch Prediction
inferred← citeshttps://doi.org/10.3390/electronics13081541openalex-snapshot
Wind Power Forecasting with Machine Learning Algorithms in Low-Cost Devices
inferred← citeshttps://doi.org/10.3390/electronics14122348openalex-snapshot
Bit-Parallel Implementations of Neural Network Activation Functions in Onboard Computing Systems
inferred← citeshttps://doi.org/10.3390/electronics14142796openalex-snapshot
Deploying Optimized Deep Vision Models for Eyeglasses Detection on Low-Power Platforms
inferred← citeshttps://doi.org/10.3390/electronics14244978openalex-snapshot
PVConv: Enhancing Depthwise Separable Convolution via Preference-Value Learning for Similar-Feature Discrimination
inferred← citeshttps://doi.org/10.3390/electronics15173811openalex-snapshot
WACT: Lossless Compression of INT8 Weights and Activations to Reduce Data Traffic in Edge NPU Memory Hierarchies
inferred← citeshttps://doi.org/10.3390/electronics15194568openalex-snapshot
Machine Vision in Real-Time Environments: A Narrative Review
inferred← citeshttps://doi.org/10.3390/engproc2025107120openalex-snapshot
Automated Fruit Nutrition Classification Using MobileNet-Based Convolutional Neural Networks on Deep Learning
inferred← citeshttps://doi.org/10.3390/healthcare10050873openalex-snapshot
Intelligent Real-Time Face-Mask Detection System with Hardware Acceleration for COVID-19 Mitigation
inferred← citeshttps://doi.org/10.3390/jimaging9070138openalex-snapshot
VGG16 Feature Extractor with Extreme Gradient Boost Classifier for Pancreas Cancer Prediction
inferred← citeshttps://doi.org/10.3390/medicina60060972openalex-snapshot
Bridging the Diagnostic Gap between Histopathologic and Hysteroscopic Chronic Endometritis with Deep Learning Models
inferred← citeshttps://doi.org/10.3390/s23073777openalex-snapshot
Simplification of Deep Neural Network-Based Object Detector for Real-Time Edge Computing
inferred← citeshttps://doi.org/10.3390/s23157012openalex-snapshot
Optimized Classifier Learning for Face Recognition Performance Boost in Security and Surveillance Applications
inferred← citeshttps://doi.org/10.3390/s24030899openalex-snapshot
Hardware Implementations of a Deep Learning Approach to Optimal Configuration of Reconfigurable Intelligence Surfaces
inferred← citeshttps://doi.org/10.3390/s24092899openalex-snapshot
Bat2Web: A Framework for Real-Time Classification of Bat Species Echolocation Signals Using Audio Sensor Data
inferred← citeshttps://doi.org/10.3390/s24175813openalex-snapshot
A Comprehensive Review of Hardware Acceleration Techniques and Convolutional Neural Networks for EEG Signals
inferred← citeshttps://doi.org/10.3390/su152316292openalex-snapshot
Convolutional Neural Network-Based Vehicle Classification in Low-Quality Imaging Conditions for Internet of Things Devices
inferred← citeshttps://doi.org/10.36227/techrxiv.24152541openalex-snapshot
Low Complexity Deep Learning Augmented Wireless Channel Estimation for Pilot-Based OFDM on Zynq System on Chip
inferred← citeshttps://doi.org/10.3844/jcssp.2022.1021.1029openalex-snapshot
Quantization and Pipelined Hardware Implementation of Deep Neural Network Models
inferred← citeshttps://doi.org/10.4018/979-8-3693-1738-9.ch003openalex-snapshot
The Importance of Interpretability in AI Systems and Its Implications for Deep Learning
inferred← citeshttps://doi.org/10.4018/979-8-3693-3860-5.ch006openalex-snapshot
Transparency and Accountability
inferred← citeshttps://doi.org/10.4018/ijsir.324074openalex-snapshot
A Multi-Feature Fusion Model Based on Denoising Convolutional Neural Network and Attention Mechanism for Image Classification
inferred← citeshttps://doi.org/10.4081/jae.2024.1585openalex-snapshot
Potato powdery scab segmentation using improved GrabCut algorithm
inferred← citeshttps://doi.org/10.5121/csit.2023.131506openalex-snapshot
Video Classification-Based Action Recognition with Enhanced Convolutional Neural Networks
inferred← citeshttps://doi.org/10.5194/jsss-14-169-2025openalex-snapshot
Efficient hardware implementation of interpretable machine learning based on deep neural network representations for sensor data processing
inferred← citeshttps://doi.org/10.54254/2755-2721/47/20241256openalex-snapshot
Revolutionizing machine learning: Harnessing hardware accelerators for enhanced AI efficiency
inferred← citeshttps://doi.org/10.58564/ijser.2.4.2023.125openalex-snapshot
AI Workload Allocation Methods for Edge-Cloud Computing: A Review
inferred← citeshttps://doi.org/10.70675/4246819fzada9z4136z8733zf3997c639655openalex-snapshot
Artificial Neural Network (ANN) design using Compute-in-Memory
inferred← citeshttps://doi.org/10.70675/56c5e5d9z8984z4a72zba0bzf0e2f7041cc7openalex-snapshot
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