Design possibilities and challenges of DNN models: a review on the perspective of end devices
出版年份 2022 全文链接
标题
Design possibilities and challenges of DNN models: a review on the perspective of end devices
作者
关键词
-
出版物
ARTIFICIAL INTELLIGENCE REVIEW
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2022-01-16
DOI
10.1007/s10462-022-10138-z
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Spatial‐temporal attention wavenet: A deep learning framework for traffic prediction considering spatial‐temporal dependencies
- (2021) Chenyu Tian et al. IET Intelligent Transport Systems
- An iterative stacked weighted auto-encoder
- (2021) Tongfeng Sun et al. Soft Computing
- SparkNoC: An energy-efficiency FPGA-based accelerator using optimized lightweight CNN for edge computing
- (2021) Ming Xia et al. JOURNAL OF SYSTEMS ARCHITECTURE
- Real-time deep learning semantic segmentation during intra-operative surgery for 3D augmented reality assistance
- (2021) Leonardo Tanzi et al. International Journal of Computer Assisted Radiology and Surgery
- Efficiently Mastering the Game of NoGo with Deep Reinforcement Learning Supported by Domain Knowledge
- (2021) Yifan Gao et al. Electronics
- Deep learning in mammography images segmentation and classification: Automated CNN approach
- (2021) Wessam M. Salama et al. Alexandria Engineering Journal
- Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection
- (2020) Vicent Sanz Marco et al. ACM Transactions on Embedded Computing Systems
- A comprehensive survey on model compression and acceleration
- (2020) Tejalal Choudhary et al. ARTIFICIAL INTELLIGENCE REVIEW
- CNN-Grinder: From Algorithmic to High-Level Synthesis descriptions of CNNs for Low-end-low-cost FPGA SoCs
- (2020) Panagiotis G. Mousouliotis et al. MICROPROCESSORS AND MICROSYSTEMS
- CoNNa–Hardware accelerator for compressed convolutional neural networks
- (2020) Rastislav J.R. Struharik et al. MICROPROCESSORS AND MICROSYSTEMS
- Comparison of different input modalities and network structures for deep learning-based seizure detection
- (2020) Kyung-Ok Cho et al. Scientific Reports
- A Survey of Accelerator Architectures for Deep Neural Networks
- (2020) Yiran Chen et al. Engineering
- A survey of the recent architectures of deep convolutional neural networks
- (2020) Asifullah Khan et al. ARTIFICIAL INTELLIGENCE REVIEW
- MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance
- (2020) Peter Mattson et al. IEEE MICRO
- A systematic literature review on hardware implementation of artificial intelligence algorithms
- (2020) Manar Abu Talib et al. JOURNAL OF SUPERCOMPUTING
- Image quality assessment based on deep learning with FPGA implementation
- (2020) Min-ling Zhu et al. SIGNAL PROCESSING-IMAGE COMMUNICATION
- A dedicated hardware accelerator for real-time acceleration of YOLOv2
- (2020) Ke Xu et al. Journal of Real-Time Image Processing
- DeepCast: Towards Personalized QoE for Edge-Assisted Crowdcast With Deep Reinforcement Learning
- (2020) Fangxin Wang et al. IEEE-ACM TRANSACTIONS ON NETWORKING
- Hierarchical fracture classification of proximal femur X-Ray images using a multistage Deep Learning approach
- (2020) Tanzi Leonardo et al. EUROPEAN JOURNAL OF RADIOLOGY
- An Improved Quantum-Inspired Differential Evolution Algorithm for Deep Belief Network
- (2020) Wu Deng et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- A fast and scalable architecture to run convolutional neural networks in low density FPGAs
- (2020) Mário P. Véstias et al. MICROPROCESSORS AND MICROSYSTEMS
- Deep Learning-Based Bearing Fault Diagnosis Method for Embedded Systems
- (2020) Minh Tuan Pham et al. SENSORS
- Improved Predicting of The Sequence Specificities of RNA Binding Proteins by Deep Learning
- (2020) Hilal Tayara et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- A Survey on optimized implementation of deep learning models on the NVIDIA Jetson platform
- (2019) Sparsh Mittal JOURNAL OF SYSTEMS ARCHITECTURE
- Demystifying the Crowd Intelligence in Last Mile Parcel Delivery for Smart Cities
- (2019) Fangxin Wang et al. IEEE NETWORK
- A Machine Learning Approach for Solar Power Technology Review and Patent Evolution Analysis
- (2019) Amy J.C. Trappey et al. Applied Sciences-Basel
- A High-Throughput and Power-Efficient FPGA Implementation of YOLO CNN for Object Detection
- (2019) Duy Thanh Nguyen et al. IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS
- A survey of techniques for optimizing deep learning on GPUs
- (2019) Sparsh Mittal et al. JOURNAL OF SYSTEMS ARCHITECTURE
- Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control
- (2019) Tianshu Chu et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Squeeze-and-Excitation Networks
- (2019) Jie Hu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Motivation for and Evaluation of the First Tensor Processing Unit
- (2018) Norman Jouppi et al. IEEE MICRO
- Deep Learning for Smart Industry: Efficient Manufacture Inspection System with Fog Computing
- (2018) Liangzhi Li et al. IEEE Transactions on Industrial Informatics
- Backup Battery Analysis and Allocation against Power Outage for Cellular Base Stations
- (2018) Fangxin Wang et al. IEEE TRANSACTIONS ON MOBILE COMPUTING
- Analysis of large deviations behavior of multi-GPU memory access in deep learning
- (2018) P. S. Tamizharasan et al. JOURNAL OF SUPERCOMPUTING
- Remaining useful life estimation of engineered systems using vanilla LSTM neural networks
- (2018) Yuting Wu et al. NEUROCOMPUTING
- Pruning of recurrent neural models: an optimal brain damage approach
- (2018) Patryk Chaber et al. NONLINEAR DYNAMICS
- A Real-Time Convolutional Neural Network for Super-Resolution on FPGA with Applications to 4K UHD 60 fps Video Services
- (2018) Yongwoo Kim et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- On Spatial Diversity in WiFi-based Human Activity Recognition: A Deep Learning based Approach
- (2018) Fangxin Wang et al. IEEE Internet of Things Journal
- Designing efficient accelerator of depthwise separable convolutional neural network on FPGA
- (2018) Wei Ding et al. JOURNAL OF SYSTEMS ARCHITECTURE
- Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning
- (2018) Zhiqiang Wan et al. IEEE Transactions on Smart Grid
- Q-Learning-Based Vulnerability Analysis of Smart Grid Against Sequential Topology Attacks
- (2017) Jun Yan et al. IEEE Transactions on Information Forensics and Security
- EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
- (2017) Andru P. Twinanda et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Efficient Processing of Deep Neural Networks: A Tutorial and Survey
- (2017) Vivienne Sze et al. PROCEEDINGS OF THE IEEE
- Always-on Vision Processing Unit for Mobile Applications
- (2015) Brendan Barry et al. IEEE MICRO
- Human-level control through deep reinforcement learning
- (2015) Volodymyr Mnih et al. NATURE
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
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