Design possibilities and challenges of DNN models: a review on the perspective of end devices
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Design possibilities and challenges of DNN models: a review on the perspective of end devices
Authors
Keywords
-
Journal
ARTIFICIAL INTELLIGENCE REVIEW
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-01-16
DOI
10.1007/s10462-022-10138-z
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- 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
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now