OOIR: Observatory of International Research

Papers

(The TQCC of ACM Transactions on Embedded Computing 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 2020-11-01 to 2024-11-01.)

Article	Citations
Toward a Lingua Franca for Deterministic Concurrent Systems	49
TensorRT-Based Framework and Optimization Methodology for Deep Learning Inference on Jetson Boards	44
Edge-AI-Driven Framework with Efficient Mobile Network Design for Facial Expression Recognition	42
MARS: mmWave-based Assistive Rehabilitation System for Smart Healthcare	32
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks	29
Distributed Task Offloading and Resource Purchasing in NOMA-Enabled Mobile Edge Computing: Hierarchical Game Theoretical Approaches	29
Edge-SLAM: Edge-Assisted Visual Simultaneous Localization and Mapping	28
Deep Ensemble Learning for Human Activity Recognition Using Wearable Sensors via Filter Activation	27
Heuristic Computation Offloading Algorithms for Mobile Users in Fog Computing	27
Edge Intelligence: Concepts, Architectures, Applications, and Future Directions	26
Side-channel Analysis of Lattice-based Post-quantum Cryptography: Exploiting Polynomial Multiplication	26
Verifying the Safety of Autonomous Systems with Neural Network Controllers	26
A Survey of Blockchain Data Management Systems	25
Intermittent-Aware Neural Architecture Search	23
Algorithm-hardware Co-design of Attention Mechanism on FPGA Devices	22
Learning Nondeterministic Real-Time Automata	21
ROBIN: A Robust Optical Binary Neural Network Accelerator	21
Reliability-aware Scheduling and Routing for Messages in Time-sensitive Networking	21
LATTE: L STM Self- Att ention based Anomaly Detection in E mbedded Automotive Platforms	20
CAN Bus Intrusion Detection Based on Auxiliary Classifier GAN and Out-of-distribution Detection	20
SNR: S queezing N umerical R ange Defuses Bit Error Vulnerability Surface in Deep Neural Networks	20
MHDeep: Mental Health Disorder Detection System Based on Wearable Sensors and Artificial Neural Networks	19
SLAQA	18
Predictive Monitoring with Logic-Calibrated Uncertainty for Cyber-Physical Systems	17
Camaroptera: A Long-range Image Sensor with Local Inference for Remote Sensing Applications	17

Post-Quantum Signatures on RISC-V with Hardware Acceleration	17
HMDS: A Makespan Minimizing DAG Scheduler for Heterogeneous Distributed Systems	16
Improving Performance-Power-Programmability in Space Avionics with Edge Devices: VBN on Myriad2 SoC	16
PhiNets: A Scalable Backbone for Low-power AI at the Edge	16
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks	15
Hardware Trojan Detection Using Machine Learning: A Tutorial	15
AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers	14
Towards an Integrated Vehicle Management System in DriveOS	14
Real-time Attack-recovery for Cyber-physical Systems Using Linear-quadratic Regulator	14
Event-B Hybridation	14
SAGE: A Split-Architecture Methodology for Efficient End-to-End Autonomous Vehicle Control	14
EC-ECC: Accelerating Elliptic Curve Cryptography for Edge Computing on Embedded GPU TX2	14
TAMA	14
AppAxO : Designing App lication-specific A ppro x imate O	14
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware	13
FELIX: A Ferroelectric FET Based Low Power Mixed-Signal In-Memory Architecture for DNN Acceleration	13
Improving Power of DSP and CNN Hardware Accelerators Using Approximate Floating-point Multipliers	13
RT-ZooKeeper: Taming the Recovery Latency of a Coordination Service	13
Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications	12
Temporal Robustness of Temporal Logic Specifications: Analysis and Control Design	12
Side-channel and Fault-injection attacks over Lattice-based Post-quantum Schemes (Kyber, Dilithium): Survey and New Results	12
CEDR: A Compiler-integrated, Extensible DSSoC Runtime	12
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device	12
Compositional Learning and Verification of Neural Network Controllers	12
A Composable Monitoring System for Heterogeneous Embedded Platforms	12
CICERO: A Domain-Specific Architecture for Efficient Regular Expression Matching	12
Horizontal Side-Channel Vulnerabilities of Post-Quantum Key Exchange and Encapsulation Protocols	12
Determinism	11
A Configurable CRYSTALS-Kyber Hardware Implementation with Side-Channel Protection	11
Learning to Train CNNs on Faulty ReRAM-based Manycore Accelerators	11
Trustworthy Autonomous System Development	11
DNN Is Not All You Need: Parallelizing Non-neural ML Algorithms on Ultra-low-power IoT Processors	11
An Interpretable Machine Learning Model Enhanced Integrated CPU-GPU DVFS Governor	11
Virtualizing a Post-Moore’s Law Analog Mesh Processor: The Case of a Photonic PDE Accelerator	10
Golden Chip-Free Trojan Detection Leveraging Trojan Trigger’s Side-Channel Fingerprinting	10
Design-Technology Co-Optimization for NVM-Based Neuromorphic Processing Elements	10
Thermal-aware Adaptive Platform Management for Heterogeneous Embedded Systems	10
Domain-Specific Architectures: Research Problems and Promising Approaches	10
MemFHE: End-to-end Computing with Fully Homomorphic Encryption in Memory	10
Design Space Exploration for Secure IoT Devices and Cyber-Physical Systems	10
Online Learning for Orchestration of Inference in Multi-user End-edge-cloud Networks	10
Test Generation for Hardware Trojan Detection Using Correlation Analysis and Genetic Algorithm	10
Efficient Realization of Decision Trees for Real-Time Inference	10
Winograd Convolution for Deep Neural Networks: Efficient Point Selection	9
MAGNETO	9
Block Walsh–Hadamard Transform-based Binary Layers in Deep Neural Networks	9
FLASH: F ast Neura l A rchitecture S earch with H ardware	9
Heterogeneity-aware Multicore Synchronization for Intermittent Systems	9
Horizontal Auto-Scaling for Multi-Access Edge Computing Using Safe Reinforcement Learning	9
SEAMS	9

An Energy-Efficient DRAM Cache Architecture for Mobile Platforms With PCM-Based Main Memory	9
Optimus: An Operator Fusion Framework for Deep Neural Networks	9
Two Birds With One Stone: Boosting Both Search and Write Performance for Tree Indices on Persistent Memory	9
Accelerating Attention Mechanism on FPGAs based on Efficient Reconfigurable Systolic Array	8
Domain-specific Hybrid Mapping for Energy-efficient Baseband Processing in Wireless Networks	8
Tutorial: Toward Robust Deep Learning against Poisoning Attacks	8
Facilitating Human Activity Data Annotation via Context-Aware Change Detection on Smartwatches	8
Chauffeur: Benchmark Suite for Design and End-to-End Analysis of Self-Driving Vehicles on Embedded Systems	8
RiSA: A Reinforced Systolic Array for Depthwise Convolutions and Embedded Tensor Reshaping	8
Software Hint-Driven Data Management for Hybrid Memory in Mobile Systems	8
Reliability Assessment and Safety Arguments for Machine Learning Components in System Assurance	8
Compositional Timing Analysis of Asynchronized Distributed Cause-effect Chains	8
Synergistically Exploiting CNN Pruning and HLS Versioning for Adaptive Inference on Multi-FPGAs at the Edge	8
QUAREM: Maximising QoE Through Adaptive Resource Management in Mobile MPSoC Platforms	8
AdaTest: Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection	8
Software-Managed Read and Write Wear-Leveling for Non-Volatile Main Memory	8
Application-centric Network Management - Addressing Safety and Real-time in V2X Applications	8
HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology	8
Reducing Energy in GPGPUs through Approximate Trivial Bypassing	8
A TCAM-based Caching Architecture Framework for Packet Classification	7
Rtkaller: State-aware Task Generation for RTOS Fuzzing	7
Cache Interference-aware Task Partitioning for Non-preemptive Real-time Multi-core Systems	7
MaxTracker: Continuously Tracking the Maximum Computation Progress for Energy Harvesting ReRAM-based CNN Accelerators	7
UBAR	7
Federated Self-training for Semi-supervised Audio Recognition	7
Sense Your Power	7
Contention Grading and Adaptive Model Selection for Machine Vision in Embedded Systems	7
Survey of Control-flow Integrity Techniques for Real-time Embedded Systems	7
An Efficient CNN Accelerator for Low-Cost Edge Systems	7
Quantized Sparse Training: A Unified Trainable Framework for Joint Pruning and Quantization in DNNs	7
SG-Float: Achieving Memory Access and Computing Power Reduction Using Self-Gating Float in CNNs	7
Improving the Performance of Hybrid Caches Using Partitioned Victim Caching	6
A Distributed Real-time Scheduling System for Industrial Wireless Networks	6
ETAP: Energy-aware Timing Analysis of Intermittent Programs	6
DASS: Differentiable Architecture Search for Sparse Neural Networks	6
Tolerating Defects in Low-Power Neural Network Accelerators Via Retraining-Free Weight Approximation	6
Adaptive Task Allocation and Scheduling on NoC-based Multicore Platforms with Multitasking Processors	6
Toward Adversary-aware Non-iterative Model Pruning through D ynamic N etwork R ewiring of DNNs	6
A Passive Online Technique for Learning Hybrid Automata from Input/Output Traces	6
Microarchitectural Exploration of STT-MRAM Last-level Cache Parameters for Energy-efficient Devices	6
Comparative Analysis and Enhancement of CFG-based Hardware-Assisted CFI Schemes	6
Prediction Modeling for Application-Specific Communication Architecture Design of Optical NoC	6
Formally Verified Next-generation Airborne Collision Avoidance Games in ACAS X	6
Generalized Weakly Hard Schedulability Analysis for Real-Time Periodic Tasks	6
Synaptic Activity and Hardware Footprint of Spiking Neural Networks in Digital Neuromorphic Systems	6
DL-RSIM: A Reliability and Deployment Strategy Simulation Framework for ReRAM-based CNN Accelerators	6
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework	6
Beyond Cache Attacks	6
Formally Verified Loop-Invariant Code Motion and Assorted Optimizations	6
More Is Less: Model Augmentation for Intermittent Deep Inference	6
??????: Utilizing Hyperdimensional Computing for a More Robust and Efficient Machine Learning System	6