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 2020-07-01 to 2024-07-01.)

Article	Citations
Toward a Lingua Franca for Deterministic Concurrent Systems	44
Edge-AI-Driven Framework with Efficient Mobile Network Design for Facial Expression Recognition	36
TensorRT-Based Framework and Optimization Methodology for Deep Learning Inference on Jetson Boards	34
MARS: mmWave-based Assistive Rehabilitation System for Smart Healthcare	31
Game-Based Task Offloading of Multiple Mobile Devices with QoS in Mobile Edge Computing Systems of Limited Computation Capacity	28
Heuristic Computation Offloading Algorithms for Mobile Users in Fog Computing	27
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks	27
Deep Ensemble Learning for Human Activity Recognition Using Wearable Sensors via Filter Activation	26
Verifying the Safety of Autonomous Systems with Neural Network Controllers	25
Side-channel Analysis of Lattice-based Post-quantum Cryptography: Exploiting Polynomial Multiplication	24
Distributed Task Offloading and Resource Purchasing in NOMA-Enabled Mobile Edge Computing: Hierarchical Game Theoretical Approaches	24
Edge Intelligence: Concepts, Architectures, Applications, and Future Directions	22
Intermittent-Aware Neural Architecture Search	22
LATTE: L STM Self- Att ention based Anomaly Detection in E mbedded Automotive Platforms	20
Algorithm-hardware Co-design of Attention Mechanism on FPGA Devices	20
ROBIN: A Robust Optical Binary Neural Network Accelerator	19
Reliability-aware Scheduling and Routing for Messages in Time-sensitive Networking	19
Edge-SLAM: Edge-Assisted Visual Simultaneous Localization and Mapping	19
Hardware Performance Counter-Based Fine-Grained Malware Detection	18
SNR: S queezing N umerical R ange Defuses Bit Error Vulnerability Surface in Deep Neural Networks	18
CAN Bus Intrusion Detection Based on Auxiliary Classifier GAN and Out-of-distribution Detection	18
A Survey of Blockchain Data Management Systems	17
SLAQA	17
MHDeep: Mental Health Disorder Detection System Based on Wearable Sensors and Artificial Neural Networks	17
HMDS: A Makespan Minimizing DAG Scheduler for Heterogeneous Distributed Systems	16

Predictive Monitoring with Logic-Calibrated Uncertainty for Cyber-Physical Systems	16
Camaroptera: A Long-range Image Sensor with Local Inference for Remote Sensing Applications	15
Learning Nondeterministic Real-Time Automata	15
TAMA	14
Real-time Attack-recovery for Cyber-physical Systems Using Linear-quadratic Regulator	14
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware	14
Improving Performance-Power-Programmability in Space Avionics with Edge Devices: VBN on Myriad2 SoC	14
Event-B Hybridation	14
AppAxO : Designing App lication-specific A ppro x imate O	14
Towards an Integrated Vehicle Management System in DriveOS	13
PhiNets: A Scalable Backbone for Low-power AI at the Edge	13
Improving Power of DSP and CNN Hardware Accelerators Using Approximate Floating-point Multipliers	13
Dealing with Uncertainty in pWCET Estimations	13
FELIX: A Ferroelectric FET Based Low Power Mixed-Signal In-Memory Architecture for DNN Acceleration	13
SAGE: A Split-Architecture Methodology for Efficient End-to-End Autonomous Vehicle Control	13
Compositional Learning and Verification of Neural Network Controllers	12
EC-ECC: Accelerating Elliptic Curve Cryptography for Edge Computing on Embedded GPU TX2	12
Post-Quantum Signatures on RISC-V with Hardware Acceleration	12
RT-ZooKeeper: Taming the Recovery Latency of a Coordination Service	12
CICERO: A Domain-Specific Architecture for Efficient Regular Expression Matching	11
Horizontal Side-Channel Vulnerabilities of Post-Quantum Key Exchange and Encapsulation Protocols	11
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device	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
Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications	11
A Composable Monitoring System for Heterogeneous Embedded Platforms	10
Golden Chip-Free Trojan Detection Leveraging Trojan Trigger’s Side-Channel Fingerprinting	10
Determinism	10
CEDR: A Compiler-integrated, Extensible DSSoC Runtime	10
Fast and Energy-Efficient State Checkpointing for Intermittent Computing	10
Online Learning for Orchestration of Inference in Multi-user End-edge-cloud Networks	10
Demystifying Energy Consumption Dynamics in Transiently powered Computers	10
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks	10
DNN Is Not All You Need: Parallelizing Non-neural ML Algorithms on Ultra-low-power IoT Processors	10
Hardware Trojan Detection Using Machine Learning: A Tutorial	10
Learning to Train CNNs on Faulty ReRAM-based Manycore Accelerators	9
Heterogeneity-aware Multicore Synchronization for Intermittent Systems	9
Side-channel and Fault-injection attacks over Lattice-based Post-quantum Schemes (Kyber, Dilithium): Survey and New Results	9
Thermal-aware Adaptive Platform Management for Heterogeneous Embedded Systems	9
Winograd Convolution for Deep Neural Networks: Efficient Point Selection	9
Block Walsh–Hadamard Transform-based Binary Layers in Deep Neural Networks	9
Horizontal Auto-Scaling for Multi-Access Edge Computing Using Safe Reinforcement Learning	9
FLASH: F ast Neura l A rchitecture S earch with H ardware	9
Two Birds With One Stone: Boosting Both Search and Write Performance for Tree Indices on Persistent Memory	9
Design Space Exploration for Secure IoT Devices and Cyber-Physical Systems	9
Software Hint-Driven Data Management for Hybrid Memory in Mobile Systems	8
SEAMS	8
Optimus: An Operator Fusion Framework for Deep Neural Networks	8
MemFHE: End-to-end Computing with Fully Homomorphic Encryption in Memory	8
Synergistically Exploiting CNN Pruning and HLS Versioning for Adaptive Inference on Multi-FPGAs at the Edge	8

Virtualizing a Post-Moore’s Law Analog Mesh Processor: The Case of a Photonic PDE Accelerator	8
MAGNETO	8
Software-Managed Read and Write Wear-Leveling for Non-Volatile Main Memory	8
A Configurable CRYSTALS-Kyber Hardware Implementation with Side-Channel Protection	8
Efficient Realization of Decision Trees for Real-Time Inference	8
Domain-Specific Architectures: Research Problems and Promising Approaches	8
An Energy-Efficient DRAM Cache Architecture for Mobile Platforms With PCM-Based Main Memory	8
Trustworthy Autonomous System Development	8
Design-Technology Co-Optimization for NVM-Based Neuromorphic Processing Elements	8
Reducing Energy in GPGPUs through Approximate Trivial Bypassing	8
GMAI	7
Rtkaller: State-aware Task Generation for RTOS Fuzzing	7
Facilitating Human Activity Data Annotation via Context-Aware Change Detection on Smartwatches	7
Chauffeur: Benchmark Suite for Design and End-to-End Analysis of Self-Driving Vehicles on Embedded Systems	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
Sense Your Power	7
Survey of Control-flow Integrity Techniques for Real-time Embedded Systems	7
SPECTRUM	7
Reliability Assessment and Safety Arguments for Machine Learning Components in System Assurance	7
Test Generation for Hardware Trojan Detection Using Correlation Analysis and Genetic Algorithm	7
RiSA: A Reinforced Systolic Array for Depthwise Convolutions and Embedded Tensor Reshaping	7
HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology	7
Contention Grading and Adaptive Model Selection for Machine Vision in Embedded Systems	6
Improving the Performance of Hybrid Caches Using Partitioned Victim Caching	6
ETAP: Energy-aware Timing Analysis of Intermittent Programs	6
Cache Interference-aware Task Partitioning for Non-preemptive Real-time Multi-core Systems	6
SG-Float: Achieving Memory Access and Computing Power Reduction Using Self-Gating Float in CNNs	6
Toward Adversary-aware Non-iterative Model Pruning through D ynamic N etwork R ewiring of DNNs	6
UBAR	6
??????: Utilizing Hyperdimensional Computing for a More Robust and Efficient Machine Learning System	6
A Distributed Real-time Scheduling System for Industrial Wireless Networks	6
Temporal Robustness of Temporal Logic Specifications: Analysis and Control Design	6
EncoDeep	6
DASS: Differentiable Architecture Search for Sparse Neural Networks	6
Adaptive Task Allocation and Scheduling on NoC-based Multicore Platforms with Multitasking Processors	6
QUAREM: Maximising QoE Through Adaptive Resource Management in Mobile MPSoC Platforms	6
A TCAM-based Caching Architecture Framework for Packet Classification	6
Synaptic Activity and Hardware Footprint of Spiking Neural Networks in Digital Neuromorphic Systems	6
Energy-efficient Real-time Scheduling on Multicores	6
AdaTest: Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection	6
Beyond Cache Attacks	6
Tolerating Defects in Low-Power Neural Network Accelerators Via Retraining-Free Weight Approximation	6
Generalized Weakly Hard Schedulability Analysis for Real-Time Periodic Tasks	6
Crab-tree	6
Minimizing Stack Memory for Partitioned Mixed-criticality Scheduling on Multiprocessor Platforms	5
Multi-Compression Scale DNN Inference Acceleration based on Cloud-Edge-End Collaboration	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
Approximate Cache in GPGPUs	5
Accelerating Attention Mechanism on FPGAs based on Efficient Reconfigurable Systolic Array	5
Federated Self-training for Semi-supervised Audio Recognition	5
Probabilistic Estimation of Threat Intrusion in Embedded Systems for Runtime Detection	5
FARSI: An Early-stage Design Space Exploration Framework to Tame the Domain-specific System-on-chip Complexity	5
Compositional Timing Analysis of Asynchronized Distributed Cause-effect Chains	5
Vector Extensions in COTS Processors to Increase Guaranteed Performance in Real-Time Systems	5
More Is Less: Model Augmentation for Intermittent Deep Inference	5
Optimization of Signal Processing Applications Using Parameterized Error Models for Approximate Adders	5
Skills Gaps in the Industry	5
DSTL	5
Quantized Sparse Training: A Unified Trainable Framework for Joint Pruning and Quantization in DNNs	5
Comparative Analysis and Enhancement of CFG-based Hardware-Assisted CFI Schemes	5
DIAC	5
LPWAN in the TV White Spaces	5
Hardware Acceleration for Embedded Keyword Spotting: Tutorial and Survey	5
Hierarchical Resource Orchestration Framework for Real-time Containers	5
Exploiting Activation Sparsity for Fast CNN Inference on Mobile GPUs	5
Adaptive Computation Reuse for Energy-Efficient Training of Deep Neural Networks	5