OOIR: Observatory of International Research

Papers

(The TQCC of IEEE Journal on Emerging and Selected Topics in Circuits and Systems is 6. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)

Article	Citations
Artificial Intelligence for 5G and Beyond 5G: Implementations, Algorithms, and Optimizations	76
Automated Pest Detection With DNN on the Edge for Precision Agriculture	53
Transfer Learning for Semi-Supervised Automatic Modulation Classification in ZF-MIMO Systems	52
An Overview of Efficient Interconnection Networks for Deep Neural Network Accelerators	46
Coordinated Control Strategy of Virtual Synchronous Generator Based on Adaptive Moment of Inertia and Virtual Impedance	41
Design of Nonlinear Droop Control in DC Microgrid for Desired Voltage Regulation and Current Sharing Accuracy	39
Optimal Allocation and Sizing of Synchronous Condensers in Weak Grids With Increased Penetration of Wind and Solar Farms	37
Time-Sharing Frequency Coordinated Control Strategy for PMSG-Based Wind Turbine	37
Libraries of Approximate Circuits: Automated Design and Application in CNN Accelerators	36
Dethroning GPS: Low-Power Accurate 5G Positioning Systems Using Machine Learning	36
Frequency Trajectory Planning Based Strategy for Improving Frequency Stability of Droop-Controlled Inverter Based Standalone Power Systems	34
Distributed Sliding Mode Observer-Based Secondary Control for DC Microgrids Under Cyber-Attacks	34
A TinyML Platform for On-Device Continual Learning With Quantized Latent Replays	32
SRNPU: An Energy-Efficient CNN-Based Super-Resolution Processor With Tile-Based Selective Super-Resolution in Mobile Devices	32
Online Few-Shot Gesture Learning on a Neuromorphic Processor	30
Performance Comparison of Typical Frequency Response Strategies for Power Systems With High Penetration of Renewable Energy Sources	30
Event-Triggered Distributed Consensus Tracking for Nonlinear Multi-Agent Systems: A Minimal Approximation Approach	29
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference	28
Hardware Implementation of Neural Self-Interference Cancellation	28
Deception Attack Detection of Isolated DC Microgrids Under Consensus- Based Distributed Voltage Control Architecture	27
Impedance-Based Analysis of Control Interactions in Weak-Grid-Tied PMSG Wind Turbines	27
STT-BNN: A Novel STT-MRAM In-Memory Computing Macro for Binary Neural Networks	26
An Overview of Processing-in-Memory Circuits for Artificial Intelligence and Machine Learning	25
Quantum PUF for Security and Trust in Quantum Computing	25
A Latency-Optimized Reconfigurable NoC for In-Memory Acceleration of DNNs	25

A Directional Gamma-Ray Spectrometer With Microcontroller-Embedded Machine Learning	25
Maximum Virtual Inertia From DC-Link Capacitors Considering System Stability at Voltage Control Timescale	24
Deep Learning-Aided Belief Propagation Decoder for Polar Codes	24
Coordinated VSG Control of Photovoltaic/Battery System for Maximum Power Output and Grid Supporting	24
EMG-Based Gestures Classification Using a Mixed-Signal Neuromorphic Processing System	23
Optimizing Temporal Convolutional Network Inference on FPGA-Based Accelerators	23
A Survey on the Optimization of Neural Network Accelerators for Micro-AI On-Device Inference	22
Impacts of Phase-Locked Loop Dynamic on the Stability of DC-Link Voltage Control in Voltage Source Converter Integrated to Weak Grid	22
Power Side-Channel Attacks on BNN Accelerators in Remote FPGAs	22
Machine-Learning-Based Microwave Sensing: A Case Study for the Food Industry	20
Introducing Recurrence in Strong PUFs for Enhanced Machine Learning Attack Resistance	20
Dynamic Inertia Evaluation for type-3 Wind Turbines Based on Inertia Function	19
Effects of High Level of Penetration of Renewable Energy Sources on Cascading Failure of Modern Power Systems	18
Reconfigurable Smart In-Memory Computing Platform Supporting Logic and Binarized Neural Networks for Low-Power Edge Devices	18
On-Chip Error-Triggered Learning of Multi-Layer Memristive Spiking Neural Networks	17
Closed-Loop Spiking Control on a Neuromorphic Processor Implemented on the iCub	17
High-Frequency Stability Analysis and Impedance Optimization for an MMC-HVDC Integrated System Considering Delay Effects	17
Undersea Wireless Power and Data Transfer System With Shared Channel Powered by Marine Renewable Energy System	17
A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks	17
Preventing DNN Model IP Theft via Hardware Obfuscation	17
A Novel Node Flexibility Evaluation Method of Active Distribution Network for SNOP Integration	17
A Cascaded Controller for a Grid-Tied Photovoltaic System With Three-Phase Half-Bridge Interleaved Buck Shunt Active Power Filter: Hybrid Control Strategy and Fuzzy Logic Approach	16
Moving Toward Intelligence: Detecting Symbols on 5G Systems Through Deep Echo State Network	16
Multi-State Memristors and Their Applications: An Overview	16
AM⁴: MRAM Crossbar Based CAM/TCAM/ACAM/AP for In-Memory Computing	16
CASH-RAM: Enabling In-Memory Computations for Edge Inference Using Charge Accumulation and Sharing in Standard 8T-SRAM Arrays	16
Design of a Sparsity-Aware Reconfigurable Deep Learning Accelerator Supporting Various Types of Operations	16
A Low-Cost, Low-Power and Real-Time Image Detector for Grape Leaf Esca Disease Based on a Compressed CNN	16
Revealing Structural and Functional Vulnerability of Power Grids to Cascading Failures	15
MEM-OPT: A Scheduling and Data Re-Use System to Optimize On-Chip Memory Usage for CNNs On-Board FPGAs	15
Nonlinear Modeling of Multi-Converter Systems Within DC-Link Timescale	15
Small-Signal Stability Analysis Method for Hybrid AC–DC Systems With Multiple DC Buses	14
Data-Driven Distributed Online Learning Control for Islanded Microgrids	14
Syndrome-Enabled Unsupervised Learning for Neural Network-Based Polar Decoder and Jointly Optimized Blind Equalizer	13
Modeling Attack Resistant PUFs Based on Adversarial Attack Against Machine Learning	13
Novel Low-Complexity Polynomial Multiplication Over Hybrid Fields for Efficient Implementation of Binary Ring-LWE Post-Quantum Cryptography	13
Impedance Modeling and Stability Analysis of DFIG Wind Farm With LCC-HVDC Transmission	13
Assessing the Robustness of Cyber-Physical Power Systems by Considering Wide-Area Protection Functions	13
Enhancing Transient Stability of PLL-Synchronized Converters by Introducing Voltage Normalization Control	13
An Overview of Sparsity Exploitation in CNNs for On-Device Intelligence With Software-Hardware Cross-Layer Optimizations	12
Dual-Hiding Side-Channel-Attack Resistant FPGA-Based Asynchronous-Logic AES: Design, Countermeasures and Evaluation	12
Machine Learning Based Multi-Agent System for Detecting and Neutralizing Unseen Cyber-Attacks in AGC and HVDC Systems	12
Improving Autonomous Nano-Drones Performance via Automated End-to-End Optimization and Deployment of DNNs	12
Transformerless Three-Level Flying-Capacitor Step-Up PV Micro-Inverter Without Electrolytic Capacitors	12
Learning to Walk: Bio-Mimetic Hexapod Locomotion via Reinforcement-Based Spiking Central Pattern Generation	11
Near-Sensor Distributed DNN Processing for Augmented and Virtual Reality	11
Gradient-Based Neuromorphic Learning on Dynamical RRAM Arrays	11
Siamese Networks for Few-Shot Learning on Edge Embedded Devices	11
Attention-Based Activation Pruning to Reduce Data Movement in Real-Time AI: A Case-Study on Local Motion Planning in Autonomous Vehicles	10
A Communication-Aware DNN Accelerator on ImageNet Using In-Memory Entry-Counting Based Algorithm-Circuit-Architecture Co-Design in 65-nm CMOS	10

Robust LFC of Power Systems With Wind Power Under Packet Losses and Communication Delays	10
How to Feed a Growing Population—An IoT Approach to Crop Health and Growth	10
Distributed Frequency Divider for Power System Bus Frequency Online Estimation Considering Virtual Inertia From DFIGs	10
A Reconfigurable 16Kb AND8T SRAM Macro With Improved Linearity for Multibit Compute-In Memory of Artificial Intelligence Edge Devices	10
Stability Improvement of Pulse Power Supply With Dual-Inductance Active Storage Unit Using Hysteresis Current Control	9
Advanced Design Methods From Materials and Devices to Circuits for Brain-Inspired Oscillatory Neural Networks for Edge Computing	9
Fast and Compact Serial IMPLY-Based Approximate Full Adders Applied in Image Processing	9
An Energy-Efficient Compressed Sensing-Based Encryption Scheme for Wireless Neural Recording	8
A Versatile, Stand-Alone, In-Field Sensor Node for Implementation in Precision Agriculture	8
Sniffer: A Machine Learning Approach for DoS Attack Localization in NoC-Based SoCs	8
Combined HW/SW Drift and Variability Mitigation for PCM-Based Analog In-Memory Computing for Neural Network Applications	8
Enabling In-Memory Computations in Non-Volatile SRAM Designs	7
Proof-Carrying Hardware-Based Information Flow Tracking in Analog/Mixed-Signal Designs	7
Rich-Club Impact on Cascading Failures in Interdependent Power and Communication Networks	7
Impedance Modeling and Stability Analysis of All-DC Delivered Offshore Wind Farm	7
A 16 nJ/Classification FPGA-Based Wired-Logic DNN Accelerator Using Fixed-Weight Non-Linear Neural Net	7
Deep Neural Oracle With Support Identification in the Compressed Domain	7
Digital Implementation of Radial Basis Function Neural Networks Based on Stochastic Computing	7
Adaptive Deep-Learning-Based Steady-State Modeling and Fast Control Strategy for CLLC DC-DC Converter in Highly Renewable Penetrated System	7
Data-Driven Priors for Robust PSSE via Gauss-Newton Unrolled Neural Networks	6
Binarization Methods for Motor-Imagery Brain–Computer Interface Classification	6
An Analogue In-Memory Ridge Regression Circuit With Application to Massive MIMO Acceleration	6
PIM-DRAM: Accelerating Machine Learning Workloads Using Processing in Commodity DRAM	6
Resilient Power Converter: A Grid-Connected Converter With Disturbance/Attack Resiliency via Multi-Timescale Current Limiting Scheme	6
Exploring Compute-in-Memory Architecture Granularity for Structured Pruning of Neural Networks	6
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks	6
Equivalence Checking of Quantum Circuits With the ZX-Calculus	6
AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration	6
Hybrid Fixed-Point/Binary Deep Neural Network Design Methodology for Low-Power Object Detection	6
A New Kalman-Filter-Based Harmonic Current Suppression Method for the Virtual Oscillator Controlled Grid-Tied Inverter	6
Parasitic-Aware Modeling and Neural Network Training Scheme for Energy-Efficient Processing-in-Memory With Resistive Crossbar Array	6
Weight Update Skipping: Reducing Training Time for Artificial Neural Networks	6
An Encryption Architecture Suitable for on Chip Integration With Sensors	6
Edge of Chaos Explains Prigogine’s Instability of the Homogeneous	6
A Novel Power and Signal Composite Modulation Strategy for CCC-Based SRG in Distributed Microgrid	6