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Fast Algorithms for Convolutional Neural Networks
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A Review of FPGA‐Based Custom Computing Architecture for Convolutional Neural Network Inference
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Comparative analysis of V-Net and U-Net++ for image steganography with emphasis on accuracy
inferred← citeshttps://doi.org/10.1080/03772063.2020.1821797openalex-snapshot
Efficient CNN Accelerator on FPGA
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Catalysing assistive solutions by deploying light-weight deep learning model on edge devices
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Deep learning approach for disease detection in lumbosacral spine radiographs using ConvNet
inferred← citeshttps://doi.org/10.1088/1361-6579/ac9451openalex-snapshot
A novel deep learning package for electrocardiography research
inferred← citeshttps://doi.org/10.1088/1742-6596/1026/1/012019openalex-snapshot
A High-efficiency FPGA-based Accelerator for Convolutional Neural Networks using Winograd Algorithm
inferred← citeshttps://doi.org/10.1088/1742-6596/1802/2/022061openalex-snapshot
Design of workpiece recognition and sorting system based on deep learning
inferred← citeshttps://doi.org/10.1088/2634-4386/ac5ac5openalex-snapshot
mlGeNN: accelerating SNN inference using GPU-enabled neural networks
inferred← citeshttps://doi.org/10.1093/nsr/nwag350openalex-snapshot
192-dimensional wavelength-/mode-/polarization-multiplexed photonic architecture for highly parallel optical computing
inferred← citeshttps://doi.org/10.1109/access.2018.2890150openalex-snapshot
FPGA-Based Accelerators of Deep Learning Networks for Learning and Classification: A Review
inferred← citeshttps://doi.org/10.1109/access.2019.2898711openalex-snapshot
The Evaluation of DCNN on Vector-SIMD DSP
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Performance Evaluation of cuDNN Convolution Algorithms on NVIDIA Volta GPUs
inferred← citeshttps://doi.org/10.1109/access.2019.2919554openalex-snapshot
CSCC: Convolution Split Compression Calculation Algorithm for Deep Neural Network
inferred← citeshttps://doi.org/10.1109/access.2019.2936591openalex-snapshot
A Fourier Domain Training Framework for Convolutional Neural Networks Based on the Fourier Domain Pyramid Pooling Method and Fourier Domain Exponential Linear Unit
inferred← citeshttps://doi.org/10.1109/access.2020.2996250openalex-snapshot
A Frequency-Domain Convolutional Neural Network Architecture Based on the Frequency-Domain Randomized Offset Rectified Linear Unit and Frequency-Domain Chunk Max Pooling Method
inferred← citeshttps://doi.org/10.1109/access.2020.3000773openalex-snapshot
RRNet: Repetition-Reduction Network for Energy Efficient Depth Estimation
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BioCNN: A Hardware Inference Engine for EEG-Based Emotion Detection
inferred← citeshttps://doi.org/10.1109/access.2020.3039858openalex-snapshot
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
inferred← citeshttps://doi.org/10.1109/access.2021.3069906openalex-snapshot
TiQSA: Workload Minimization in Convolutional Neural Networks Using Tile Quantization and Symmetry Approximation
inferred← citeshttps://doi.org/10.1109/access.2021.3071409openalex-snapshot
SLID: Exploiting Spatial Locality in Input Data as a Computational Reuse Method for Efficient CNN
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Substituting Convolutions for Neural Network Compression
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An Efficient im2row-Based Fast Convolution Algorithm for ARM Cortex-M MCUs
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Digital Filter Architecture With Calculations in the Residue Number System by Winograd Method F (2 × 2, 2 × 2)
inferred← citeshttps://doi.org/10.1109/access.2021.3123938openalex-snapshot
An Energy-Efficient Edge Computing Paradigm for Convolution-Based Image Upsampling
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Performance Evaluation of INT8 Quantized Inference on Mobile GPUs
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Efficient, Geometry-Based Convolution
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On-the-Fly Lowering Engine: Offloading Data Layout Conversion for Convolutional Neural Networks
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A Survey of Intelligent Chip Design Research Based on Spiking Neural Networks
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Sky Imager Data Reduction Using Autoencoder and Internet of Things Computing
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Efficient Hardware Architectures for Accelerating Deep Neural Networks: Survey
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A Survey of FPGA-Based Vision Systems for Autonomous Cars
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Digital Filter Architecture Based on Modified Winograd Method F(2× 2, 5× 5) and Residue Number System
inferred← citeshttps://doi.org/10.1109/access.2023.3289717openalex-snapshot
I-TAINTED: Identification of Turmeric Adulteration Using the CavIty PerturbatioN Technique and Technology OptimizED Machine Learning
inferred← citeshttps://doi.org/10.1109/access.2023.3324713openalex-snapshot
LA-ShuffleNet: A Strong Convolutional Neural Network for Edge Computing Devices
inferred← citeshttps://doi.org/10.1109/access.2024.3354720openalex-snapshot
SIMD-Constrained Lookup Table for Accelerating Variable-Weighted Convolution on x86/64 CPUs
inferred← citeshttps://doi.org/10.1109/access.2024.3422674openalex-snapshot
Infrared Small Target Detection Based on Hierarchical Terrace Contrast Measure
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A Comprehensive Review of Convolutional Neural Networks for Defect Detection in Industrial Applications
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Optimizing RGB Convolution on Cortex-M7 MCU: Approaches for Performance Improvement
inferred← citeshttps://doi.org/10.1109/access.2024.3488004openalex-snapshot
Accelerating CNN Training With Concurrent Execution of GPU and Processing-in-Memory
inferred← citeshttps://doi.org/10.1109/access.2025.3540406openalex-snapshot
Infrared Small Target Detection Based on Double Gray-Values Descend Angle Contrast Measure
inferred← citeshttps://doi.org/10.1109/access.2025.3544515openalex-snapshot
A Survey on Real-Time Object Detection on FPGAs
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Fetal Ultrasound Simulation Using Optical Flow and Scatterer Models
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Quantize YOLOv3-tiny For 5-bit Hardware
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Computational Complexity Reduction Techniques for Deep Neural Networks: A Survey
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Real-time Super Resolution CNN Accelerator with Constant Kernel Size Winograd Convolution
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Efficient FPGA Implementation of a Convolutional Neural Network for Radar Signal Processing
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