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A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification
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Outgoing claims: the papers this work cites, builds on, or argues with.
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ImageNet Large Scale Visual Recognition Challenge
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Pruning and quantization for deep neural network acceleration: A survey
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Binary neural networks: A survey
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Data-free quantization via mixed-precision compensation without fine-tuning
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A Survey of Related Research on Compression and Acceleration of Deep Neural Networks
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Channel-level acceleration of deep face representations
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ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.15openalex-snapshot
On Compressing Deep Models by Low Rank and Sparse Decomposition
inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-snapshot
Densely Connected Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.574openalex-snapshot
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inferredcites →https://doi.org/10.1109/cvpr.2017.761openalex-snapshot
Weighted-Entropy-Based Quantization for Deep Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2018.00474openalex-snapshot
MobileNetV2: Inverted Residuals and Linear Bottlenecks
inferredcites →https://doi.org/10.1109/cvpr.2018.00716openalex-snapshot
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
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inferredcites →https://doi.org/10.1109/cvpr.2018.00982openalex-snapshot
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inferredcites →https://doi.org/10.1109/cvpr.2019.00881openalex-snapshot
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inferredcites →https://doi.org/10.1109/cvpr42600.2020.00222openalex-snapshot
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inferredcites →https://doi.org/10.1109/cvpr42600.2020.00225openalex-snapshot
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00801openalex-snapshot
Adaptive Loss-Aware Quantization for Multi-Bit Networks
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00489openalex-snapshot
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inferredcites →https://doi.org/10.1109/cvprw53098.2021.00273openalex-snapshot
Layer Importance Estimation with Imprinting for Neural Network Quantization
inferredcites →https://doi.org/10.1109/cvprw53098.2021.00519openalex-snapshot
Adaptive Binary-Ternary Quantization
inferredcites →https://doi.org/10.1109/fpl.2009.5272559openalex-snapshot
CNP: An FPGA-based processor for Convolutional Networks
inferredcites →https://doi.org/10.1109/icassp.2017.7952679openalex-snapshot
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inferredcites →https://doi.org/10.1109/icassp40776.2020.9054599openalex-snapshot
Balanced Binary Neural Networks with Gated Residual
inferredcites →https://doi.org/10.1109/iccv.2015.123openalex-snapshot
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
inferredcites →https://doi.org/10.1109/iccv.2017.155openalex-snapshot
Channel Pruning for Accelerating Very Deep Neural Networks
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ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
inferredcites →https://doi.org/10.1109/iccv.2019.00038openalex-snapshot
HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision
inferredcites →https://doi.org/10.1109/iccv.2019.00495openalex-snapshot
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks
inferredcites →https://doi.org/10.1109/infoteh.2018.8345545openalex-snapshot
Compression of convolutional neural networks: A short survey
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inferredcites →https://doi.org/10.1109/jproc.2017.2761740openalex-snapshot
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Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/micro.2014.58openalex-snapshot
DaDianNao: A Machine-Learning Supercomputer
inferredcites →https://doi.org/10.1109/msp.2012.2205597openalex-snapshot
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
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Model Compression and Acceleration for Deep Neural Networks: The Principles, Progress, and Challenges
inferredcites →https://doi.org/10.1109/sips.2014.6986082openalex-snapshot
Fixed-point feedforward deep neural network design using weights +1, 0, and −1
inferredcites →https://doi.org/10.1109/tc.2019.2954495openalex-snapshot
Grow and Prune Compact, Fast, and Accurate LSTMs
inferredcites →https://doi.org/10.1109/tcad.2018.2857080openalex-snapshot
Weighted Quantization-Regularization in DNNs for Weight Memory Minimization Toward HW Implementation
inferredcites →https://doi.org/10.1109/tnnls.2021.3087731openalex-snapshot
Distillation-Guided Residual Learning for Binary Convolutional Neural Networks
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.2022.3159369openalex-snapshot
Optimization-Based Post-Training Quantization With Bit-Split and Stitching
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A Survey of Methods for Low-Power Deep Learning and Computer Vision
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Weight discretization paradigm for optical neural networks
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BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights
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Structured Pruning of Deep Convolutional Neural Networks
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ImageNet classification with deep convolutional neural networks
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A Survey on Aspect-Based Sentiment Classification
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Quantized Sparse Training: A Unified Trainable Framework for Joint Pruning and Quantization in DNNs
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Synaptic Pruning in Development: A Computational Account
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Recent advances in efficient computation of deep convolutional neural networks
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Very Deep Convolutional Networks for Text Classification
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Speeding-up convolutional neural networks: A survey
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Model Compression for Deep Neural Networks: A Survey
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A Survey on Efficient Convolutional Neural Networks and Hardware Acceleration
inferredcites →https://doi.org/10.48550/arxiv.1404.0736openalex-snapshot
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Tensorizing Neural Networks
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Convolutional neural networks with low-rank regularization
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Data-free Parameter Pruning for Deep Neural Networks
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Artificial intelligence assisted wearable flexible sensors for sports: research progress in technology integration and application
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Optimizing agricultural classification with masked image modeling
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Mechanical fault diagnosis method based on binary neural network with adaptive depth-to-width ratio
inferred← citeshttps://doi.org/10.1088/1361-6501/ae1aa2openalex-snapshot
SALC-Net: an efficient and accurate green citrus detection model for edge devices
inferred← citeshttps://doi.org/10.1088/2631-8695/ada66aopenalex-snapshot
HP-MobileNetV3: a lightweight neural network for non-intrusive load monitoring
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Differentiable Neural Architecture, Mixed Precision and Accelerator Co-Search
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Efficient Hardware Design of DNN for RF Signal Modulation Recognition Employing Ternary Weights
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Advanced Deep Learning Models for 6G: Overview, Opportunities, and Challenges
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A Novel Policy Distillation With WPA-Based Knowledge Filtering Algorithm for Efficient Industrial Robot Control
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Low-Cost Driver Monitoring System Using Deep Learning
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Lightweight and Accurate YOLOv7-Based Ensembles With Knowledge Distillation for Urinary Sediment Detection
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Optimized Ensemble Deep Learning for Real-Time Intrusion Detection on Resource-Constrained Raspberry Pi Devices
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A Developer’s Guide to Compressing Pre-Trained Transformer Neural Networks Across Different Domains
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ANN-to-SNN Conversion with Quantized ANNs and Multi-Threshold Neurons on Large-scale Sketch Data
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FORTUNE: A Negative Memory Overhead Hardware-Agnostic Fault TOleRance TechniqUe in DNNs
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Low-Rank Compression of CNN Models Based on Efficient Rank Parameter Learning
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GoPrune: Efficient Structured Pruning with $\ell_{2, p}$-Norm Optimization
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Efficiency-Accuracy Trade-offs in Quantised Deep Transfer Learning for Radiant Coil Inspection
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Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approaches
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Model Compression for Sustainable AI in xG Wireless Networks: Recent Advances, Challenges, and Future Directions
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Ineffectiveness of Digital Transformations for Detecting Adversarial Attacks Against Quantized and Approximate CNNs
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A Two-Dimensional Budget Learning and Fast Deployment Method for Resource-Constrained Visual Inference
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Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study
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Improving the Visual Quality of Adversarial Examples for Face Recognition Models
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Zero-Memory-Overhead Clipping-Based Fault Tolerance for LSTM Deep Neural Networks
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Enabling Edge Intelligence through Variational Autoencoder-Based Model Compression
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Binary/Ternary Neural Networks for Gesture and Human Activity Recognition in Ultra Resource-Constrained Sensor Systems
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Aggregating Empirical Evidence from Data Strategies Studies: A Case on Model Quantization
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GLoT: A Novel Gated-Logarithmic Transformer for Efficient Sign Language Translation
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PSQ-PMC: A Hardware-Friendly Quantization Scheme for Spike-Based Neural Radiance
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QQ: Is 2-bit Enough? Exploiting Quantization to Enhance Computation and Memory Efficiency in Quantum Simulation
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Binary Neural Networks for Real-Time Structural Health Monitoring on Edge Devices
inferred← citeshttps://doi.org/10.1109/icciaa68481.2026.11543764openalex-snapshot
Lightweight Deep Learning Architectures for Edge Intelligence: Budget-Aware Compression–Architecture Co-Design
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Rice Leaf Disease Classification: A Comparative Evaluation of CNNs and Vision Transformers
inferred← citeshttps://doi.org/10.1109/iccsc66714.2025.11135279openalex-snapshot
A Survey of Model Compression Techniques for TinyML Applications
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Quantized YOLOv11 for Real-Time Road Object Detection in Smart City Environments
inferred← citeshttps://doi.org/10.1109/icct-pacific69083.2026.11518766openalex-snapshot
Importance-Aware Quantization Strategy for Layer-Sensitive YOLO Architectures
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ORXE: Orchestrating Experts for Dynamically Configurable Efficiency
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LLaMa-BiLoRA: Enhancing Named Entity Recognition for Resume Data Extraction Using Quantized LoRA modified LLaMA with Bidirectional Attention
inferred← citeshttps://doi.org/10.1109/icei64305.2024.10912367openalex-snapshot
Efficient Deployment of Quantized Vision Transformers: A Survey
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Lightweight Fire Detection Network Based on Improved YOLOv8
inferred← citeshttps://doi.org/10.1109/idicaiei58380.2023.10406754openalex-snapshot
Self-Supervised Visual Representation Learning Framework for Road Sign Classification
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Local Sensitivity Analysis of Highly Robust Regression Estimators
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11228785openalex-snapshot
Parallel Optimization of Quantized CNNs for Efficient GPU Inference
inferred← citeshttps://doi.org/10.1109/infocom59046.2026.11571679openalex-snapshot
ACS-Boot: Efficient Randomized Smoothing for Robustness Certification on Resource-Constrained Edge Devices
inferred← citeshttps://doi.org/10.1109/infoteh68759.2026.11477625openalex-snapshot
Impact of Dataset Design and Augmentation on Keypoint Detection Accuracy
inferred← citeshttps://doi.org/10.1109/isceic67854.2025.11405674openalex-snapshot
Localized Large Model Trusted Computing System Based on LAN Computing Resource Pool Construction
inferred← citeshttps://doi.org/10.1109/isorc70347.2026.11605492openalex-snapshot
Deployment of Quantized Deep Noise Suppression on Real-Time Edge Platforms
inferred← citeshttps://doi.org/10.1109/iv55156.2024.10588722openalex-snapshot
Fourier Prompt Tuning for Modality-Incomplete Scene Segmentation
inferred← citeshttps://doi.org/10.1109/iwcmc65282.2025.11059526openalex-snapshot
Frugal Object Detection Models: Solutions, Challenges and Future Directions
inferred← citeshttps://doi.org/10.1109/iwqos65803.2025.11143488openalex-snapshot
Malva: A Jitter-Aware Online Pruning Framework for DNN Inference Tasks
inferred← citeshttps://doi.org/10.1109/jiot.2023.3324568openalex-snapshot
Guarding Deep Learning Systems With Boosted Evasion Attack Detection and Model Update
inferred← citeshttps://doi.org/10.1109/jiot.2024.3425854openalex-snapshot
Deadline-Aware Joint Task Scheduling and Offloading in Mobile-Edge Computing Systems
inferred← citeshttps://doi.org/10.1109/jiot.2024.3501387openalex-snapshot
Deep Federated Fractional Scattering Network for Heterogeneous Edge Internet of Vehicles Fingerprinting: Theory and Implementation
inferred← citeshttps://doi.org/10.1109/jiot.2025.3625087openalex-snapshot
An Explainable Tiny-Fast Kolmogorov–Arnold Network for Gesture-Based Air Handwriting Recognition of Tifinagh Letters in Resource-Constrained IoT Device
inferred← citeshttps://doi.org/10.1109/jiot.2025.3633641openalex-snapshot
Image Compression System With Privacy in Intent-Based Healthcare Networking
inferred← citeshttps://doi.org/10.1109/jiot.2026.3674358openalex-snapshot
Integration of TinyML and LargeML: A Survey of 6G and Beyond
inferred← citeshttps://doi.org/10.1109/jsen.2024.3502539openalex-snapshot
Edge Deployment of Deep Networks for Visual Detection: A Review
inferred← citeshttps://doi.org/10.1109/jsen.2026.3651301openalex-snapshot
Advanced Sensor Signal Processing for Resolving Overlapping Temperature Events in Industrial Applications
inferred← citeshttps://doi.org/10.1109/jssc.2025.3583287openalex-snapshot
DmNE: A Dual-Mode Neural Engine for Multiplicative and Multiplication-Free Kernels With Fine-Grained Precision Scaling and Processing Elementwise Power Gating
inferred← citeshttps://doi.org/10.1109/kse68178.2025.11309428openalex-snapshot
Enhancing Personalized Learning with Real-Time Data Warehousing and Linked Open Data Integration for Open Knowledge Domain
inferred← citeshttps://doi.org/10.1109/lats62223.2024.10534615openalex-snapshot
Resiliency Approaches in Convolutional, Photonic, and Spiking Neural Networks
inferred← citeshttps://doi.org/10.1109/lats70329.2026.11480282openalex-snapshot
RESQ: A Unified Framework for ReLiability- and SEcurity Enhancement of Quantized Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/lwc.2025.3627417openalex-snapshot
DeepSAQ: Deep Learning-Driven Sensitivity-Aware Quantization for MMSE MIMO Detection
inferred← citeshttps://doi.org/10.1109/miel66332.2025.11261196openalex-snapshot
Statistical Analysis of Synaptic Weights in Spiking Neural Network Trained on the DVS128 Gesture Dataset
inferred← citeshttps://doi.org/10.1109/ojsp.2025.3602742openalex-snapshot
Test-Time Cost-and-Quality Controllable Arbitrary-Scale Super-Resolution With Variable Fourier Components
inferred← citeshttps://doi.org/10.1109/rage71062.2026.00011openalex-snapshot
Hierarchical adaptive control for real-time dynamic inference at the edge
inferred← citeshttps://doi.org/10.1109/rtsi64020.2025.11212223openalex-snapshot
K-Means Clustered Quantization for Efficient CNN-Based Skin Lesion Classification
inferred← citeshttps://doi.org/10.1109/siitme67657.2025.11293582openalex-snapshot
Adversarial Attacks Detection for Self-Driving Cars Using GPUs
inferred← citeshttps://doi.org/10.1109/sisimpact67725.2025.11439260openalex-snapshot
Energy-Aware Deep Neural Architecture Search for Carbon-Efficient AI on Resource-Constrained Devices
inferred← citeshttps://doi.org/10.1109/smc58881.2025.11342625openalex-snapshot
Ultra-Lightweight Eye State Detection for Resource-Constrained Devices
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High-Performance FPGA-Based System for Diabetic Retinopathy Classification
inferred← citeshttps://doi.org/10.1109/socc62300.2024.10737722openalex-snapshot
Hardware-Aware Network Adaptation using Width and Depth Shrinking including Convolutional and Fully Connected Layer Merging
inferred← citeshttps://doi.org/10.1109/taes.2026.3720591openalex-snapshot
Dynamic Feature Distillation for Enhanced UAV Object Detection
inferred← citeshttps://doi.org/10.1109/tbiom.2025.3576111openalex-snapshot
ClipSwap++: Improved Identity and Attributes Aware Face Swapping
inferred← citeshttps://doi.org/10.1109/tbme.2026.3683482openalex-snapshot
FEMBA on the Edge: Physiologically-Aware Pre-Training, Quantization, and Deployment of a Bidirectional Mamba EEG Foundation Model on an Ultra-Low Power Microcontroller
inferred← citeshttps://doi.org/10.1109/tcad.2024.3483091openalex-snapshot
Fast Retraining of Approximate CNNs for High Accuracy
inferred← citeshttps://doi.org/10.1109/tccn.2025.3569598openalex-snapshot
Zero-Shot Binarization Lightweight Model for a Data-Free Edge Network
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/tdmr.2024.3523386openalex-snapshot
AdAM: Adaptive Approximate Multiplier for Fault Tolerance in DNN Accelerators
inferred← citeshttps://doi.org/10.1109/techdefense67306.2025.11720983openalex-snapshot
Toward Operational Scenario Awareness: A UAV Swarm-Based Framework
inferred← citeshttps://doi.org/10.1109/tetci.2025.3579707openalex-snapshot
EdgeNet: Empowering Edge Device Performance by Leveraging Clustered Networks for Optimal Memory Management With Platform-Awareness
inferred← citeshttps://doi.org/10.1109/tevc.2025.3570486openalex-snapshot
ENERGIZE: A Neuroevolution Framework for Energy-Efficient Machine Learning
inferred← citeshttps://doi.org/10.1109/tii.2025.3545091openalex-snapshot
Neural Networks Micro Memory Control Strategy for Mechanical Faults Edge Recognition
inferred← citeshttps://doi.org/10.1109/tim.2025.3554292openalex-snapshot
On-Chip Implementation of Neural Network-Based Classifier Models for E-Nose With Chemometric Analysis
inferred← citeshttps://doi.org/10.1109/tit.2025.3610095openalex-snapshot
Coded Deep Learning: Framework and Algorithm
inferred← citeshttps://doi.org/10.1109/tmm.2026.3660111openalex-snapshot
SA-BCT: Self-Adapting Backward-Compatible Training
inferred← citeshttps://doi.org/10.1109/ton.2025.3629759openalex-snapshot
Online Scheduling With Trajectory Prediction for Collaborative DNN Inference in Vehicular Networks
inferred← citeshttps://doi.org/10.1109/tvlsi.2026.3673356openalex-snapshot
Hardware Acceleration of Kolmogorov–Arnold Network (KAN) in Large-Scale Systems
inferred← citeshttps://doi.org/10.1109/wifs61860.2024.10810715openalex-snapshot
Ternary Neural Networks for Gait Identification in Wearable Devices
inferred← citeshttps://doi.org/10.1111/2041-210x.70360openalex-snapshot
ESO : An evolutionary algorithm for efficient model reduction via automated frequency band selection in passive acoustic monitoring
inferred← citeshttps://doi.org/10.1111/coin.70178openalex-snapshot
Enhancing Adversarial Attacks With Two‐Way Gradient Adjustment and Neighborhood Resampling
inferred← citeshttps://doi.org/10.1111/exsy.70316openalex-snapshot
When an Image Cipher Meets Computer Vision: A Survey on Semantic‐Aware Selective Encryption
inferred← citeshttps://doi.org/10.1142/s0218126626500283openalex-snapshot
A Multi-Level Lightweight Framework for Deep Neural Networks on Resource-Constrained Edge Devices
inferred← citeshttps://doi.org/10.1145/3579371.3589062openalex-snapshot
RAELLA: Reforming the Arithmetic for Efficient, Low-Resolution, and Low-Loss Analog PIM: No Retraining Required!
inferred← citeshttps://doi.org/10.1145/3657282openalex-snapshot
Lightweight Deep Learning for Resource-Constrained Environments: A Survey
inferred← citeshttps://doi.org/10.1145/3664476.3670449openalex-snapshot
Transfer Adversarial Attacks through Approximate Computing
inferred← citeshttps://doi.org/10.1145/3680207.3765247openalex-snapshot
AdaptQNet: Optimizing Quantized DNN on Microcontrollers via Adaptive Heterogeneous Processing Unit Utilization
inferred← citeshttps://doi.org/10.1145/3682067openalex-snapshot
Efficiently Gluing Pre-Trained Language and Vision Models for Image Captioning
inferred← citeshttps://doi.org/10.1145/3690624.3709265openalex-snapshot
Enhancing Black-Box Adversarial Attacks on Discrete Sequential Data via Bilevel Bayesian Optimization in Hybrid Spaces
inferred← citeshttps://doi.org/10.1145/3696409.3700171openalex-snapshot
Accelerating Inference of Networks in the Frequency Domain
inferred← citeshttps://doi.org/10.1145/3749483openalex-snapshot
SELA: Smart Edge LLM Agent to Optimize Response Trade-offs of AI Assistants
inferred← citeshttps://doi.org/10.1145/3759254openalex-snapshot
LKAFormer: A Lightweight Kolmogorov-Arnold Transformer Model for Image Semantic Segmentation
inferred← citeshttps://doi.org/10.1145/3760784openalex-snapshot
FlashGEMM: Optimizing Sequences of Matrix Multiplication by Exploiting Data Reuse on CPUs
inferred← citeshttps://doi.org/10.1145/3769301openalex-snapshot
Workload Shifting Techniques: From Digital Inebriation to Sobriety
inferred← citeshttps://doi.org/10.1145/3773039openalex-snapshot
PPD: A Portable and Highly Parallel Dispatching System for Deep Learning
inferred← citeshttps://doi.org/10.1145/3795101.3814737openalex-snapshot
Can LLM’s Pick Up Where GP Left off? Investigating LLM Mathematical Expression Simplification Capabilities
inferred← citeshttps://doi.org/10.1145/3799708openalex-snapshot
Cloud-edge Collaboration for Robust Network Embeddings
inferred← citeshttps://doi.org/10.1145/3801487.3801832openalex-snapshot
EnsembleHealer: Autonomous Recovery from Model Poisoning in Decentralized Federated Learning
inferred← citeshttps://doi.org/10.1145/3802593openalex-snapshot
FDSR: Efficient Model Training via Adaptive Tensor Quantization Based on Frequency Domain Division and Similarity Data Reuse
inferred← citeshttps://doi.org/10.1145/3805622.3810715openalex-snapshot
An Energy-Efficient Multimodal Retrieval Framework for Inference on Heterogeneous Edge Nodes
inferred← citeshttps://doi.org/10.1145/3808196openalex-snapshot
Compiling Code LLMs into Lightweight Executables
inferred← citeshttps://doi.org/10.1145/3846184openalex-snapshot
SwarmUpdate: Hierarchical Software Updates and Deep Learning Model Patching for Heterogeneous UAV Swarms
inferred← citeshttps://doi.org/10.1177/09287329261473368openalex-snapshot
Tinybionet: A lightweight time-frequency network for biomedical signal classification on edge devices
inferred← citeshttps://doi.org/10.1186/s13634-025-01212-zopenalex-snapshot
Enhanced rain removal network with convolutional block attention module (CBAM): a novel approach to image de-raining
inferred← citeshttps://doi.org/10.12794/metadc2443141openalex-snapshot
Scalable AI: Intelligent Quantization and Neural Architectures for Image Compression, Classification, and Segmentation
inferred← citeshttps://doi.org/10.1515/9783111586458-015openalex-snapshot
19115 AI and edge / embedded devices for healthcare
inferred← citeshttps://doi.org/10.17759/mda.2026160305openalex-snapshot
Comparison of the YOLO11n model on embedded platforms Orange Pi5 and Raspberry Pi4B
inferred← citeshttps://doi.org/10.2139/ssrn.5679007openalex-snapshot
Application of Diffusion Models to Multimodal Data Modeling and Fusion
inferred← citeshttps://doi.org/10.2174/0126662558375299250315001228openalex-snapshot
An Adaptive Enhanced Residual Attention Method for Small Object Detection
inferred← citeshttps://doi.org/10.23919/date64628.2025.10992707openalex-snapshot
De2r: Unifying DVFS and Early-Exit for Embedded AI Inference via Reinforcement Learning
inferred← citeshttps://doi.org/10.23919/egg62010.2024.10631247openalex-snapshot
Towards Green AI: Current Status and Future Research
inferred← citeshttps://doi.org/10.30812/matrik.v23i3.3961openalex-snapshot
Deep Learning Model Compression Techniques Performance on Edge Devices
inferred← citeshttps://doi.org/10.32388/8un60ropenalex-snapshot
“Let’s Argue Both Sides”: Argument Generation Can Force Small Models to Utilize Previously Inaccessible Reasoning Capabilities
inferred← citeshttps://doi.org/10.3389/frai.2025.1662984openalex-snapshot
Search-optimized quantization in biomedical ontology alignment
inferred← citeshttps://doi.org/10.3390/a18120736openalex-snapshot
Entropy-Guided Search Space Optimization for Efficient Neural Network Pruning
inferred← citeshttps://doi.org/10.3390/ai6100253openalex-snapshot
AI for Wildfire Management: From Prediction to Detection, Simulation, and Impact Analysis—Bridging Lab Metrics and Real-World Validation
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