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ORCIDIEEE Journal of Emerging and Selected Topics in Circuits and Systems, Volume 13
Volume 13, Number 1, March 2023
- Paul P. Sotiriadis, Jie Han, M. Hassan Najafi, Josep Lluís Rosselló Sanz:
Guest Editorial Unconventional Computing Techniques for Emerging Technology Applications. 1-6 - Lichuan Luo
, Wang Kang, Junzhan Liu, He Zhang, Youguang Zhang, Dijun Liu, Peng Ouyang:
A Reconfigurable Spatial Architecture for Energy-Efficient Inception Neural Networks. 7-20 - Cheng-Yang Chang, Kuang-Chao Chou, Yu-Chuan Chuang, An-Yeu Wu:
E-UPQ: Energy-Aware Unified Pruning-Quantization Framework for CIM Architecture. 21-32 - Abhilasha Dave, Fabio Frustaci, Fanny Spagnolo, Mikail Yayla, Jian-Jia Chen, Hussam Amrouch:
HW/SW Codesign for Approximation-Aware Binary Neural Networks. 33-47 - Mingkai Liu, Haohua Que, Xinghua Yang, Kaitong Zhang, Qingyang Yu, Lingxiao Yan, Tong Wang, Yu Jin, Ni Zhou:
A Selective Bit Dropping and Encoding Co-Strategy in Image Processing for Low-Power Design in DRAM and SRAM. 48-57 - Yuan Yao:
Game-of-Life Temperature-Aware DVFS Strategy for Tile-Based Chip Many-Core Processors. 58-72 - Yuan Yao:
SE-CNN: Convolution Neural Network Acceleration via Symbolic Value Prediction. 73-85 - Brunno Alves de Abreu, Albi Mema, Simon Thomann, Guilherme Paim, Paulo F. Flores, Sergio Bampi, Hussam Amrouch:
Compact CMOS-Compatible Majority Gate Using Body Biasing in FDSOI Technology. 86-95 - Mousa Karimi, Ataollah Saeed Monir, Rezvan Mohammadrezaee, Boris Vaisband:
CTT-Based Scalable Neuromorphic Architecture. 96-107 - Duckgyu Shin, Naoya Onizawa, Warren J. Gross, Takahiro Hanyu:
Memory-Efficient FPGA Implementation of Stochastic Simulated Annealing. 108-118 - Cheng-Yang Chang, Yu-Chuan Chuang, Chi-Tse Huang, An-Yeu Wu:
Recent Progress and Development of Hyperdimensional Computing (HDC) for Edge Intelligence. 119-136 - Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal:
WHYPE: A Scale-Out Architecture With Wireless Over-the-Air Majority for Scalable In-Memory Hyperdimensional Computing. 137-149 - Soyed Tuhin Ahmed, Kamal Danouchi, Christopher Münch, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori:
SpinDrop: Dropout-Based Bayesian Binary Neural Networks With Spintronic Implementation. 150-164 - Basant Kumar Mohanty:
Efficient Approximate Multiplier Design Based on Hybrid Higher Radix Booth Encoding. 165-174 - Seyed Erfan Fatemieh, Mohammad Reza Reshadinezhad, Nima TaheriNejad:
Fast and Compact Serial IMPLY-Based Approximate Full Adders Applied in Image Processing. 175-188 - Chenggang Yan, Yuxuan Cui, Ke Chen, Bi Wu, Weiqiang Liu:
Hardware Efficient Successive-Cancellation Polar Decoders Using Approximate Computing. 189-200 - Hao Zhang, Seok-Bum Ko:
Efficient Approximate Posit Multipliers for Deep Learning Computation. 201-211 - Michal Pinos, Vojtech Mrazek, Filip Vaverka, Zdenek Vasícek, Lukás Sekanina:
Acceleration Techniques for Automated Design of Approximate Convolutional Neural Networks. 212-224 - Sepehr Tabrizchi, Ali Nezhadi, Shaahin Angizi, Arman Roohi:
AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration. 225-236 - Xuemei Fan, Tingting Zhang, Hao Liu, Shengli Lu, Jie Han:
A Timing-Aware Configurable Adder Based on Timing Detection for Low-Voltage Computing. 237-248 - Josep L. Rosselló, Joan Font-Rosselló, Christiam F. Frasser, Alejandro Morán, Erik S. Skibinsky-Gitlin, Vincent Canals, Miquel Roca:
Highly Optimized Hardware Morphological Neural Network Through Stochastic Computing and Tropical Pruning. 249-256 - Alejandro Morán, Luis Parrilla, Miquel Roca, Joan Font-Rosselló, Eugeni Isern, Vincent Canals:
Digital Implementation of Radial Basis Function Neural Networks Based on Stochastic Computing. 257-269 - Xiaochen Tang, Shanshan Liu, Farzad Niknia, Ziheng Wang, Siting Liu, Pedro Reviriego, Fabrizio Lombardi:
Delta Sigma Modulator-Based Dividers for Accurate and Low Latency Stochastic Computing Systems. 270-284 - Nikos Temenos, Paul P. Sotiriadis:
A Stochastic Computing Sigma-Delta Adder Architecture for Efficient Neural Network Design. 285-294 - Peter Schober, Seyedeh Newsha Estiri, Sercan Aygun, Amir Hossein Jalilvand, M. Hassan Najafi, Nima TaheriNejad:
Stochastic Computing Design and Implementation of a Sound Source Localization System. 295-311 - Pratik Kumar, Ankita Nandi, Shantanu Chakrabartty, Chetan Singh Thakur:
Bias-Scalable Near-Memory CMOS Analog Processor for Machine Learning. 312-322 - Dat Tran, Christof Teuscher:
Multi-Tasking Memcapacitive Networks. 323-331 - Fan Zhang, Shaahin Angizi, Jiao Sun, Wei Zhang, Deliang Fan:
Aligner-D: Leveraging In-DRAM Computing to Accelerate DNA Short Read Alignment. 332-343 - He Xiao, Yue Zhou, Tongtong Gao, Shukai Duan, Guanrong Chen, Xiaofang Hu:
Memristor-Based Light-Weight Transformer Circuit Implementation for Speech Recognizing. 344-356 - Anil Korkmaz, Gianluca Zoppo, Francesco Marrone, Su-In Yi, R. Stanley Williams, Fernando Corinto, Samuel Palermo:
Spectral Ranking in Complex Networks Using Memristor Crossbars. 357-370 - Yen-Jen Chang, Shih-Hsiang Chen:
Multi-Logic Sense Amplifier (MLSA) Design for In-Memory Computing. 371-381 - Osama Yousuf, Imtiaz Hossen, Matthew W. Daniels, Martin Lueker-Boden, Andrew Dienstfrey, Gina C. Adam:
Device Modeling Bias in ReRAM-Based Neural Network Simulations. 382-394 - Alessio Antolini, Carmine Paolino, Francesco Zavalloni, Andrea Lico, Eleonora Franchi Scarselli, Mauro Mangia, Fabio Pareschi, Gianluca Setti, Riccardo Rovatti, Mattia Luigi Torres, Marcella Carissimi, Marco Pasotti:
Combined HW/SW Drift and Variability Mitigation for PCM-Based Analog In-Memory Computing for Neural Network Applications. 395-407 - Esteban Garzón, Marco Lanuzza, Adam Teman, Leonid Yavits:
AM4: MRAM Crossbar Based CAM/TCAM/ACAM/AP for In-Memory Computing. 408-421 - Anni Lu, Jae Hur, Yuan-Chun Luo, Hai Li, Dmitri E. Nikonov, Ian A. Young, Yang-Kyu Choi, Shimeng Yu:
Scalable In-Memory Clustered Annealer With Temporal Noise of Charge Trap Transistor for Large Scale Travelling Salesman Problems. 422-435 - Saleh Ahmad Khan, Md. Oli-Uz-Zaman, Jinhui Wang:
PAWN: Programmed Analog Weights for Non-Linearity Optimization in Memristor-Based Neuromorphic Computing System. 436-444 - Kavitha Soundrapandiyan, Santosh Kumar Vishvakarma, Bhupendra Singh Reniwal:
Enabling Energy-Efficient In-Memory Computing With Robust Assist-Based Reconfigurable Sense Amplifier in SRAM Array. 445-455
Volume 13, Number 2, June 2023
- Chi-Tsun Cheng, Jörg F. Wollert, Xi Chen, Abraham O. Fapojuwo:
Guest Editorial Circuits and Systems for Industry X.0 Applications. 457-460 - Chih-Wei Jen, Hung-Chih Liu, Zheng-Chun Huang, Nai-Cheng Xue, Shyh-Jye Jou:
A Digital Frequency-Dependent I/Q Imbalance and Group Delay Estimation and Compensation Modules for mmWave Single Carrier Baseband Transceivers. 461-475 - Wei Yang, Xinguang Xiang, Chanying Huang, Anmin Fu, Yiyuan Yang:
MCA-Based Multi-Channel Fusion Attacks Against Cryptographic Implementations. 476-488 - Silvio Zanoli, Flavio Ponzina, Tomás Teijeiro, Alexandre Levisse, David Atienza:
An Error-Based Approximation Sensing Circuit for Event-Triggered Low-Power Wearable Sensors. 489-501 - Qinghui Hong, Bang He, Zedi Zhang, Pingdan Xiao, Sichun Du, Jiliang Zhang:
Circuit Design and Application of Discrete Cosine Transform Based on Memristor. 502-513 - Pavan Kumar MP, Zi-Jie Gao, Kun-Chih Chen:
Time Series-Based Sensor Selection and Lightweight Neural Architecture Search for RUL Estimation in Future Industry 4.0. 514-523 - Yichao Wang, Yulin Kuang, Qianming Xu:
A Current-Limiting Scheme for Voltage-Controlled Inverter Using Instantaneous Current to Generate Virtual Impedance. 524-535 - Ping Yang, Shungang Xu, Fanwei Meng, Ziyue Zhang, Rongbin Zhou, Jianping Xu:
A Low Frequency Ripple Current Suppression Strategy for Single-Phase Photovoltaic Grid-Connected Inverter. 536-544 - Hongwei Ma, Xin Lei, Zhen Li, Shenglong Yu, Bin Liu, Xiaoliang Dong:
Deep-Learning Based Power System Events Detection Technology Using Spatio-Temporal and Frequency Information. 545-556 - Ming Yu, Zhicheng Wang, Hai Wang, Wuhua Jiang, Rensheng Zhu:
Intermittent Fault Diagnosis and Prognosis for Steer-by-Wire System Using Composite Degradation Model. 557-571 - Zining An, Fan Wu, Cong Zhang, Jinhao Ma, Bo Sun, Bihua Tang, Yuanan Liu:
Deep Learning-Based Composite Fault Diagnosis. 572-581 - Qingsong Wang, Hao Ding, Han Zhu, Giuseppe Buja:
A Novel Topology for DC Electric Spring With Parallel Structure. 582-595 - Xuan Gu, Yongxiang Xia, Dingtao Fu, Xi Chen:
Performance Under Limited Service Capacity for Load Balancing EV Charging Network. 596-604 - Junmin Jiang, Xu Zhang, Xun Liu, Zhaojun Liu, Liusheng Sun, Shing Hin Yuen, Wing Cheung Chong, Wing-Hung Ki, C. Patrick Yue, Kei May Lau:
A Fully-Integrated Micro-Display System With Hybrid Voltage Regulator. 605-616 - Hanchen Ge, Zhihong Huang, Zhicong Huang:
Modeling Methodology Based on Fast and Refined Neural Networks for Non-Isolated DC-DC Converters With Configurable Parameter Settings. 617-628 - Yubin Pang, Xiaohui Qu, Zijun Ren, Jun Mei:
A Novel Coordinated Control Strategy for LCC/VSC Hybrid DC Distribution Power System. 629-636
Volume 13, Number 3, September 2023
- Xi Zhang, Jiajing Wu, Abraham O. Fapojuwo, Zbigniew Galias, Chi K. Tse:
Guest Editorial Complex Cyber-Multitudinal-Physical Systems: Analysis, Decision-Making, and AI Applications. 641-645 - Hui Liu, Shiman Zhang, Chai Wah Wu, Xiaoqun Wu, Zengyang Li, Jiangqiao Xu:
Intralayer Synchronization in Heterogeneous Multiplex Dynamical Networks Based on Spectral Graph Theory. 646-657 - Souhei Shima, Tsuyoshi Isozaki, Yoko Uwate, Yoshifumi Nishio:
Investigating Packet Transmission From the Perspective of Complex Networks Composed of Chaotic Circuits. 658-668 - Hao Wang, Xinsong Yang, Yaping Sun, Jianlong Qiu, Shengyuan Xu:
Stabilization and Non-Weighted L2 Gain Analysis of Switched Systems With Distributed Delay Under Asynchronous Event-Triggered Control. 669-679 - Fuqi Li, Lei Lin, Yingbiao Li, Xiaojie Shi, Jiabing Hu, Jianhang Zhu:
Synchronization Stability of the MMC-Connected Wind Farm Under Severe Asymmetrical Faults. 680-691 - Tiezhu Wang, Shicong Ma, Shanshan Wang, Weilin Hou, Juncheng Gao, Jianbo Guo, Xiaoxin Zhou:
Modal Analysis-Based Analytical Method for Frequency Estimation During Inertia Response Stage of Power Systems. 692-701 - Zigui Jiang, Qihao Yuan, Rongheng Lin, Fangchun Yang:
Canonical Correlation Analysis and Visualization for Big Data in Smart Grid. 702-711 - Dongmei Lv, Weidong Dang, Xinlin Sun, Zhongke Gao:
EEG-Based Multi-Frequency Multilayer Network for Exploring the Brain State Evolution Underlying Motor Imagery. 712-719 - Weili Chen, Mingdong Tang, Zibin Zheng:
Exploring and Analyzing the Token Ecosystem: A Complex Network Analysis Perspective. 720-733 - Dan Chen, Housheng Su:
Identification of Influential Nodes in Complex Networks With Degree and Average Neighbor Degree. 734-742 - Baoling Miao, Hao Wang, Yan-Jun Liu, Lei Liu:
Adaptive Security Control Against False Data Injection Attacks in Cyber-Physical Systems. 743-751 - Jiayi Cai, Jianwen Feng, Jingyi Wang, Yi Zhao:
Stochastic Synchronization of Semi-Markovian Switching Cyber-Physical Impulsive Complex Networks via Dynamic Event-Triggered SMC. 752-766 - Ning Xu, Zhongyu Chen, Ben Niu, Xudong Zhao:
Event-Triggered Distributed Consensus Tracking for Nonlinear Multi-Agent Systems: A Minimal Approximation Approach. 767-779 - Xue Lin, Weiqi Bai, Qianling Wang, Shajia Yu:
Virtual Coupling-Based H∞ Active Fault-Tolerant Cooperative Control for Multiple High-Speed Trains With Unknown Parameters and Actuator Faults. 780-788 - Zijun Ren, Xiaohui Qu, Minzhi Wang, Changyue Zou:
Multi-Objective Optimization for DC Microgrid Using Combination of NSGA-II Algorithm and Linear Search Method. 789-796 - Yongxiang Xia, Xuan Gu, Dingtao Fu, Xi Chen:
Large Scale EV Charging Allocation in Unbalanced Multi-Microgrid System. 797-805 - Zhicong Huang, Canjun Yuan, Hanchen Ge, Ting Hou:
Optimization of Substation Siting and Connection Topology in Offshore Wind Farm Based on Modified Firefly Algorithm. 806-816 - Chao Ren, Tianjing Wang, Han Yu, Yan Xu, Zhao Yang Dong:
EFedDSA: An Efficient Differential Privacy-Based Horizontal Federated Learning Approach for Smart Grid Dynamic Security Assessment. 817-828 - Han Yang, Junyuan Fang, Jiajing Wu, Zibin Zheng:
Both Homophily and Heterophily Matter: Bi-Path Aware Graph Neural Network for Ethereum Account Classification. 829-840 - Wanchang Zhang, Zhongyuan Jiang, Qingsong Yao:
DND: Deep Learning-Based Directed Network Disintegrator. 841-850 - Chenmeng Qiu, Yuzhi Li, Mingyu Kang, Duxin Chen, Wenwu Yu:
CDSTTN: A Data Imputation Method for Cyber-Physical Systems by Causal Dense Spatial-Temporal Transformer Network. 851-860 - Ziyuan Song, Yuehui Huang, Hongbin Xie, Xiaofei Li:
Generation Method of Multi-Regional Photovoltaic Output Scenarios-Set Using Conditional Generative Adversarial Networks. 861-870 - Alejandro Morán Costoya, Luís Parrilla Roure, Miquel Roca, Joan Font-Rosselló, Eugeni Isern, Vincent Canals:
Corrections to "Digital implementation of Radial Basis Function Neural Networks Based on Stochastic Computing". 871
Volume 13, Number 4, December 2023
- Jason K. Eshraghian, Arindam Basu, Corey Lammie, Shih-Chii Liu, Priyadarshini Panda:
Guest Editorial Dynamical Neuro-AI Learning Systems: Devices, Circuits, Architecture and Algorithms. 873-876 - Marco Rasetto, Qingzhou Wan, Himanshu Akolkar, Feng Xiong, Bertram E. Shi, Ryad Benosman:
Building Time-Surfaces by Exploiting the Complex Volatility of an ECRAM Memristor. 877-888 - Hritom Das, Rocco D. Febbo, Charles P. Rizzo, Nishith N. Chakraborty, James S. Plank, Garrett S. Rose:
Optimizations for a Current-Controlled Memristor- Based Neuromorphic Synapse Design. 889-900 - Maria J. Avedillo, Manuel Jiménez Través, Corentin Delacour, Aida Todri-Sanial, Bernabé Linares-Barranco, Juan Núñez:
Operating Coupled VO₂-Based Oscillators for Solving Ising Models. 901-913 - Kangni Liu, Shahin Hashemkhani, Jonathan E. Rubin, Rajkumar Kubendran:
BioNN: Bio-Mimetic Neural Networks on Hardware Using Nonlinear Multi-Timescale Mixed-Feedback Control for Neuromodulatory Bursting Rhythms. 914-926 - Swagat Bhattacharyya, Praveen Raj Ayyappan, Jennifer O. Hasler:
Towards Scalable Digital Modeling of Networks of Biorealistic Silicon Neurons. 927-939 - Mikail Yayla, Fabio Frustaci, Fanny Spagnolo, Jian-Jia Chen, Hussam Amrouch:
Unlocking Efficiency in BNNs: Global by Local Thresholding for Analog-Based HW Accelerators. 940-955 - Ben Varkey Benjamin, Richelle L. Smith, Kwabena A. Boahen:
A Low Thermal Sensitivity Subthreshold-Current to Pulse-Frequency Converter for Neuromorphic Chips. 956-964 - Vineeta Vasudevan Nair, Chithra Reghuvaran, Deepu John, Bhaskar Choubey, Alex James:
ESSM: Extended Synaptic Sampling Machine With Stochastic Echo State Neuro-Memristive Circuits. 965-974 - Hao Jiang, Jikai Lu, Chenggao Zhang, Shuangzhu Tang, Junjie An, Lingli Cheng, Jian Lu, Jinsong Wei, Keji Zhou, Xumeng Zhang, Tuo Shi, Qi Liu:
Multicore Spiking Neuromorphic Chip in 180-nm With ReRAM Synapses and Digital Neurons. 975-985 - Jingwen Jiang, Keji Zhou, Jinhao Liang, Fengshi Tian, Chenyang Zhao, Jianguo Yang, Xiaoyong Xue, Xiaoyang Zeng:
Tempo-CIM: A RRAM Compute-in-Memory Neuromorphic Accelerator With Area-Efficient LIF Neuron and Split-Train-Merged-Inference Algorithm for Edge AI Applications. 986-999 - Mohammed A. Alhartomi, Mohd. Tasleem Khan, Saeed Alzahrani, Ahmed Alzahmi, Rafi Ahamed Shaik, Jinti Hazarika, Ruwaybih Alsulami, Abdulaziz Alotaibi, Meshal Al-Harthi:
Low-Area and Low-Power VLSI Architectures for Long Short-Term Memory Networks. 1000-1014 - Fabrizio Ottati, Chang Gao, Qinyu Chen, Giovanni Brignone, Mario R. Casu, Jason K. Eshraghian, Luciano Lavagno:
To Spike or Not to Spike: A Digital Hardware Perspective on Deep Learning Acceleration. 1015-1025 - Sangyeob Kim, Hoi-Jun Yoo:
C-DNN V2: Complementary Deep-Neural-Network Processor With Full-Adder/OR-Based Reduction Tree and Reconfigurable Spatial Weight Reuse. 1026-1039 - Yimin Wang, Xuanyao Fong:
Benchmarking DNN Mapping Methods for the in-Memory Computing Accelerators. 1040-1051 - Julian Büchel, Athanasios Vasilopoulos, Benedikt Kersting, Corey Lammie, Kevin Brew, Timothy Philip, Nicole Saulnier, Vijay Narayanan, Manuel Le Gallo, Abu Sebastian:
Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error. 1052-1061 - Ilkin Aliyev, Kama Svoboda, Tosiron Adegbija:
Design Space Exploration of Sparsity-Aware Application-Specific Spiking Neural Network Accelerators. 1062-1072 - Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda:
HyDe: A brid PCM/FeFET/SRAM vice-Search for Optimizing Area and Energy-Efficiencies in Analog IMC Platforms. 1073-1082 - Zhengyu Cai, Hamid Rahimian Kalatehbali, Ben Walters, Mostafa Rahimi Azghadi, Amirali Amirsoleimani, Roman Genov:
Spike Timing Dependent Gradient for Direct Training of Fast and Efficient Binarized Spiking Neural Networks. 1083-1093 - Nguyen-Dong Ho, Ik-Joon Chang:
MiCE: An ANN-to-SNN Conversion Technique to Enable High Accuracy and Low Latency. 1094-1105 - Changmin Ye, Doo Seok Jeong:
GEBA: Gradient-Error-Based Approximation of Activation Functions. 1106-1113 - Madhuvanthi Srivatsav R, Shantanu Chakrabartty, Chetan Singh Thakur:
Neuromorphic Computing With Address-Event-Representation Using Time-to-Event Margin Propagation. 1114-1124 - Yu-Chuan Chuang, Cheng-Yang Chang, An-Yeu Wu:
Dynamic-HDC: A Two-Stage Dynamic Inference Framework for Brain-Inspired Hyperdimensional Computing. 1125-1136 - Donghyung Yoo, Doo Seok Jeong:
CBP-QSNN: Spiking Neural Networks Quantized Using Constrained Backpropagation. 1137-1146
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