OOIR: Observatory of International Research

Papers

(The TQCC of ACM Transactions on Embedded Computing Systems is 5. 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 2020-05-01 to 2024-05-01.)

Article	Citations
Toward a Lingua Franca for Deterministic Concurrent Systems	36
Edge-AI-Driven Framework with Efficient Mobile Network Design for Facial Expression Recognition	35
TensorRT-Based Framework and Optimization Methodology for Deep Learning Inference on Jetson Boards	29
MARS: mmWave-based Assistive Rehabilitation System for Smart Healthcare	28
Game-Based Task Offloading of Multiple Mobile Devices with QoS in Mobile Edge Computing Systems of Limited Computation Capacity	27
Heuristic Computation Offloading Algorithms for Mobile Users in Fog Computing	26
Verifying the Safety of Autonomous Systems with Neural Network Controllers	24
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks	24
Deep Ensemble Learning for Human Activity Recognition Using Wearable Sensors via Filter Activation	23
Side-channel Analysis of Lattice-based Post-quantum Cryptography: Exploiting Polynomial Multiplication	22
Distributed Task Offloading and Resource Purchasing in NOMA-Enabled Mobile Edge Computing: Hierarchical Game Theoretical Approaches	21
Intermittent-Aware Neural Architecture Search	19
LATTE: L STM Self- Att ention based Anomaly Detection in E mbedded Automotive Platforms	18
Edge Intelligence: Concepts, Architectures, Applications, and Future Directions	18
Algorithm-hardware Co-design of Attention Mechanism on FPGA Devices	17
Reliability-aware Scheduling and Routing for Messages in Time-sensitive Networking	17
MHDeep: Mental Health Disorder Detection System Based on Wearable Sensors and Artificial Neural Networks	16
Edge-SLAM: Edge-Assisted Visual Simultaneous Localization and Mapping	16
SNR: S queezing N umerical R ange Defuses Bit Error Vulnerability Surface in Deep Neural Networks	16
ROBIN: A Robust Optical Binary Neural Network Accelerator	16
SLAQA	16
HMDS: A Makespan Minimizing DAG Scheduler for Heterogeneous Distributed Systems	15
Predictive Monitoring with Logic-Calibrated Uncertainty for Cyber-Physical Systems	15
Hardware Performance Counter-Based Fine-Grained Malware Detection	15
Camaroptera: A Long-range Image Sensor with Local Inference for Remote Sensing Applications	14

A Survey of Blockchain Data Management Systems	14
Learning Nondeterministic Real-Time Automata	14
Design Space Exploration for Ultra-Low-Energy and Secure IoT MCUs	14
TAMA	14
Improving Performance-Power-Programmability in Space Avionics with Edge Devices: VBN on Myriad2 SoC	14
AppAxO : Designing App lication-specific A ppro x imate O	13
Improving Power of DSP and CNN Hardware Accelerators Using Approximate Floating-point Multipliers	13
SAGE: A Split-Architecture Methodology for Efficient End-to-End Autonomous Vehicle Control	13
CAN Bus Intrusion Detection Based on Auxiliary Classifier GAN and Out-of-distribution Detection	13
EC-ECC: Accelerating Elliptic Curve Cryptography for Edge Computing on Embedded GPU TX2	12
Event-B Hybridation	12
CICERO: A Domain-Specific Architecture for Efficient Regular Expression Matching	11
Post-Quantum Signatures on RISC-V with Hardware Acceleration	11
Real-time Attack-recovery for Cyber-physical Systems Using Linear-quadratic Regulator	11
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware	11
DEEPEYE	11
An Interpretable Machine Learning Model Enhanced Integrated CPU-GPU DVFS Governor	11
AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers	11
Compositional Learning and Verification of Neural Network Controllers	11
Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications	11
FELIX: A Ferroelectric FET Based Low Power Mixed-Signal In-Memory Architecture for DNN Acceleration	10
Dealing with Uncertainty in pWCET Estimations	10
Horizontal Side-Channel Vulnerabilities of Post-Quantum Key Exchange and Encapsulation Protocols	10
CEDR: A Compiler-integrated, Extensible DSSoC Runtime	10
Learning to Train CNNs on Faulty ReRAM-based Manycore Accelerators	9
Determinism	9
RT-ZooKeeper: Taming the Recovery Latency of a Coordination Service	9
A Composable Monitoring System for Heterogeneous Embedded Platforms	9
DNN Is Not All You Need: Parallelizing Non-neural ML Algorithms on Ultra-low-power IoT Processors	9
Towards an Integrated Vehicle Management System in DriveOS	9
PhiNets: A Scalable Backbone for Low-power AI at the Edge	9
Thermal-aware Adaptive Platform Management for Heterogeneous Embedded Systems	9
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device	9
Golden Chip-Free Trojan Detection Leveraging Trojan Trigger’s Side-Channel Fingerprinting	9
Demystifying Energy Consumption Dynamics in Transiently powered Computers	9
Design Space Exploration for Secure IoT Devices and Cyber-Physical Systems	9
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks	9
Two Birds With One Stone: Boosting Both Search and Write Performance for Tree Indices on Persistent Memory	8
Synergistically Exploiting CNN Pruning and HLS Versioning for Adaptive Inference on Multi-FPGAs at the Edge	8
Winograd Convolution for Deep Neural Networks: Efficient Point Selection	8
Fast and Energy-Efficient State Checkpointing for Intermittent Computing	8
Software-Managed Read and Write Wear-Leveling for Non-Volatile Main Memory	8
Horizontal Auto-Scaling for Multi-Access Edge Computing Using Safe Reinforcement Learning	8
Reducing Energy in GPGPUs through Approximate Trivial Bypassing	8
Online Learning for Orchestration of Inference in Multi-user End-edge-cloud Networks	8
MAGNETO	8
Heterogeneity-aware Multicore Synchronization for Intermittent Systems	8
Design-Technology Co-Optimization for NVM-Based Neuromorphic Processing Elements	8
SEAMS	8
FLASH: F ast Neura l A rchitecture S earch with H ardware	8

An Energy-Efficient DRAM Cache Architecture for Mobile Platforms With PCM-Based Main Memory	8
Virtualizing a Post-Moore’s Law Analog Mesh Processor: The Case of a Photonic PDE Accelerator	7
Rtkaller: State-aware Task Generation for RTOS Fuzzing	7
Side-channel and Fault-injection attacks over Lattice-based Post-quantum Schemes (Kyber, Dilithium): Survey and New Results	7
MaxTracker: Continuously Tracking the Maximum Computation Progress for Energy Harvesting ReRAM-based CNN Accelerators	7
Domain-specific Hybrid Mapping for Energy-efficient Baseband Processing in Wireless Networks	7
MemFHE: End-to-end Computing with Fully Homomorphic Encryption in Memory	7
LAMBDA	7
SPECTRUM	7
Block Walsh–Hadamard Transform-based Binary Layers in Deep Neural Networks	7
Sense Your Power	7
RiSA: A Reinforced Systolic Array for Depthwise Convolutions and Embedded Tensor Reshaping	7
Temporal Robustness of Temporal Logic Specifications: Analysis and Control Design	6
ETAP: Energy-aware Timing Analysis of Intermittent Programs	6
Beyond Cache Attacks	6
Tolerating Defects in Low-Power Neural Network Accelerators Via Retraining-Free Weight Approximation	6
SG-Float: Achieving Memory Access and Computing Power Reduction Using Self-Gating Float in CNNs	6
QUAREM: Maximising QoE Through Adaptive Resource Management in Mobile MPSoC Platforms	6
A TCAM-based Caching Architecture Framework for Packet Classification	6
A Distributed Real-time Scheduling System for Industrial Wireless Networks	6
Improving the Performance of Hybrid Caches Using Partitioned Victim Caching	6
EncoDeep	6
Optimus: An Operator Fusion Framework for Deep Neural Networks	6
DASS: Differentiable Architecture Search for Sparse Neural Networks	6
Efficient Realization of Decision Trees for Real-Time Inference	6
Crab-tree	6
Energy-efficient Real-time Scheduling on Multicores	6
Domain-Specific Architectures: Research Problems and Promising Approaches	6
Trustworthy Autonomous System Development	6
Test Generation for Hardware Trojan Detection Using Correlation Analysis and Genetic Algorithm	6
HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology	6
Generalized Weakly Hard Schedulability Analysis for Real-Time Periodic Tasks	6
Chauffeur: Benchmark Suite for Design and End-to-End Analysis of Self-Driving Vehicles on Embedded Systems	6
??????: Utilizing Hyperdimensional Computing for a More Robust and Efficient Machine Learning System	6
Software Hint-Driven Data Management for Hybrid Memory in Mobile Systems	6
AdaTest: Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection	5
GMAI	5
DSTL	5
Probabilistic Estimation of Threat Intrusion in Embedded Systems for Runtime Detection	5
DIAC	5
LPWAN in the TV White Spaces	5
Facilitating Human Activity Data Annotation via Context-Aware Change Detection on Smartwatches	5
Synaptic Activity and Hardware Footprint of Spiking Neural Networks in Digital Neuromorphic Systems	5
Approximate Cache in GPGPUs	5
Optimization of Signal Processing Applications Using Parameterized Error Models for Approximate Adders	5
Reliability Assessment and Safety Arguments for Machine Learning Components in System Assurance	5
Cache Interference-aware Task Partitioning for Non-preemptive Real-time Multi-core Systems	5
Adaptive Computation Reuse for Energy-Efficient Training of Deep Neural Networks	5
Quantized Sparse Training: A Unified Trainable Framework for Joint Pruning and Quantization in DNNs	5
A Configurable CRYSTALS-Kyber Hardware Implementation with Side-Channel Protection	5
More Is Less: Model Augmentation for Intermittent Deep Inference	5
Adaptive Task Allocation and Scheduling on NoC-based Multicore Platforms with Multitasking Processors	5
Hardware Acceleration for Embedded Keyword Spotting: Tutorial and Survey	5
UBAR	5
Accelerating Attention Mechanism on FPGAs based on Efficient Reconfigurable Systolic Array	5
Skills Gaps in the Industry	5
Minimizing Stack Memory for Partitioned Mixed-criticality Scheduling on Multiprocessor Platforms	5
Hardware Trojan Detection Using Machine Learning: A Tutorial	5
Comparative Analysis and Enhancement of CFG-based Hardware-Assisted CFI Schemes	5
Application-centric Network Management - Addressing Safety and Real-time in V2X Applications	5
Energy-efficient and Reliable Inference in Nonvolatile Memory under Extreme Operating Conditions	5
Toward Adversary-aware Non-iterative Model Pruning through D ynamic N etwork R ewiring of DNNs	5
Contention Grading and Adaptive Model Selection for Machine Vision in Embedded Systems	5