- A Deep Learning Based Model for Predicting Corporate Culture and Employee Retention Rate
- B h sets and Costas cubes
- Adapt-S: Effective DNN Pruning via Unified Accuracy and Performance Tuning
- A Deep Learning-based Framework for Energy Consumption Prediction and Anomaly Detection in Residential Buildings
- PAPL-SLAM: Principal Axis-Anchored Monocular Point-Line SLAM
- Retracted: Web-Based Heart Disease Prognosis using Neural Network and Hybrid Approach
- Performance Analysis on the Applications of Large Language Models: A Case for Elderly Care
- Video Prediction of Dynamic Physical Simulations With Pixel-Space Spatiotemporal Transformers
- Spatio-Temporal Probabilistic Forecasting of Wind Speed Using Transformer-Based Diffusion Models
- Masked Superpixel Contrastive Subspace Clustering Network for Unsupervised Large-Scale Hyperspectral Image Classification
- Cost-Efficient Traffic Allocation in Content Delivery Networks: a Linear Programming Approach
- Accelerating Tensor-Train Decomposition on Graph Neural Networks
- MKPL: Multi-dimensional Knowledge-embedded Prompt Learning for Few-shot Malware Family Recognition
- An Efficient Design Method for Metasurface Antenna with Low in-Band RCS and Reconfigurable Scattering Fields
- PredTOP: Latency Predictor Utilizing DAG Transformers for Distributed Deep Learning Training with Operator Parallelism
- Air-FedGA: A Grouping Asynchronous Federated Learning Mechanism Exploiting Over-The-Air Computation
- Real-Time Energy Management of Hybrid Energy Storage System with Application to Wave Energy Converters: A Learning-Augmented MPC Strategy
- A Cluster Tree Network for Image Super-Resolution
- Self-Triggered Delay Output Regulation for Boolean Control Networks
- A Simulation Based Comparison of Pwm and Dtc Control for 8/6 Srm
- It Takes Two to Tango: Serverless Workflow Serving via Bilaterally Engaged Resource Adaptation
- Federated Deep Reinforcement Learning for Delay and Energy Consumption Tradeoff in Scalable Cell-free Mobile Edge Computing Networks
- Magnetic Noise Modeling and Suppression in Composite Shields Based on Spatial Anisotropy and Residual Magnetization Measurement
- Probabilistic Injection-Based Reliability Evaluation for Correlated Input Vectors in Sequential Circuits
- IOAgent: Democratizing Trustworthy HPC I/O Performance Diagnosis Capability via LLMs
- Optimizing Fine-Grained Parallelism Through Dynamic Load Balancing on Multi-Socket Many-Core Systems
- MSCD-Net: From Unimodal to Multimodal Semantic Change Detection
- Assessment of Drone Agricultural Spraying Operations using Optical Fiber Sensors
- UJPS: Urgent Job Priority Scheduling in Hadoop YARN
- Energy-Optimal and Low-Depth Algorithmic Primitives for Spatial Dataflow Architectures
- Characterization and modeling of solder interconnects for wafer level packaging applications subjected to low cycle fatigue stress
- Integrating CPO and Hybrid A* Algorithms for Efficient UAV Path Planning *
- Output Tracking Control for Nonlinear Affine Systems With Relative Degree Two Based on Control Barrier Functions
- Mutual Authentication and Trust Establishment (MATE) Protocol in VANET Using Puncturable Pseudorandom Function (PPRF): MATE-PPRF
- Chinese Medical Continual Named Entity Recognition Based on Continual Learning and Knowledge Distillation
- MFRD: A Novel Multi-Criteria Fusion Routing Decision Making Algorithm in Mobile Opportunistic Networks
- CLTC-PL: A Robust Mathematical Framework and Algorithm for InSAR Phase-Linking Using the Central Limit Theorem of Circular Statistics
- DiVATM: Unsupervised Neural Topic Modeling using Disentangled Variational Autoencoders
- Cooperative Game-Based Distributed Optimal Synchronization Control via Multistep Distributed Value Iteration in Discrete-Time Multiagent Systems
- Analyses of successful sparse signal recovery via tail- $\ell_{2}$ minimization
- Automated Spam Call Traceback: Two Efficiency Enhancement Approaches
- O2O Logistics Customer Value Prediction with Periodic Asynchronous Vertical Federated Learning
- Exploiting Repetitions and Interference Cancellation for the 6G-V2X Sidelink Autonomous Mode
- Iterative Layout-Aware Power, Thermal and IR-Drop Co-Optimization: Ensuring Convergency in 3D-ICs
- Institutional Barriers to Renewable Power Exchange and Emissions Reductions: An India Case Study
- An Improved WM Pattern Matching Algorithm Based on Cuckoo Filter
- ReviveDiff: A Universal Diffusion Model for Restoring Images in Adverse Weather Conditions
- Speed is Not All You Need When Fuzzing Stateful Network Servers
- Hardware-Accelerated Mode-Switching Polymorphic Encryption for Privacy Preserving Machine Learning
- mm-EmoIoT: Decoding Emotions from Upper Body Gestures via mm-wave Sensing for Smart Home Applications
- Mapping the Contributions of Middle Eastern Countries to Artificial Intelligence in Business and Economics: A Scopus-Based Bibliometric Analysis
- Duty-Cycle Control of Three-Phase Multi-Active-Bridge Converters
- Unsupervised Pre-trained Social Networks for E-commerce Community Detection
- Optimizing Steganographic Fidelity: Content-Aware Syndrome Trellis Code
- Active Learning for Object Detection With Vectorized Dual Pseudo Loss and Multiple Instance Offset Constraint
- TOSS: Tiering of Serverless Snapshots for Memory-Efficient Serverless Computing
- Unleashing Fourier-domain Potential: Spatial-Spectral Reconstruction Framework for Remote Sensing Pansharpening
- Strong Session Serializability for Serverless Computing
- CrisprDA: a Data Augmentation Method Enhancing the Efficiency of sgRNA on-target Activity Prediction
- Multi Task Algorithm for Smart Campus Face Recognition Based on Deep Learning Framework Caffe
- Machine learning based automated liver fibrosis stage diagnosis with prediction
- KD-BERT: A Lightweight Knowledge Distillation Bidirectional Encoder Representations from Transformers for IoT Network Intrusion Detection
- Optimizing and Controlling Nonlinear Metrics of Multi-channel LED Systems with Ambient Light Interference via Reinforcement Learning
- Accelerating Virtual Machine File Systems with TimeFS
- dotPS: Disorder Tolerant Load Balancing Scheme for Datacenter Network
- Toward Adaptive and Interpretable Process Monitoring: Incremental Variational Graph Attention Autoencoder With Probabilistic Inference
- Wideband Circular Retrodirective Array with RCS Enhancement
- Comparative Analysis and Reputation Improvement Mechanism of Blockchain in Social Networks
- Spatially-guided Chunk-wise Reweighting Transformer for 3D Object Detection in Autonomous Vehicles
- Less is More: Faster Maximum Clique Search by Work-Avoidance
- DTB: A Novel Reinforcement Learning-Assisted Data Management Strategy in Interlaced Magnetic Recording
- Novel Chirp Pulse Transmission Imaging Approach for Average Permittivity Estimation and Mapping
- SymProp: Scaling Sparse Symmetric Tucker Decomposition via Symmetry Propagation
- Efficient-MobileNet: A Feature Fusion Approach for Vehicle Driver Behavior Detection and Classification
- BK-Index: A Multi-attribute Index algorithm for Network Traffic
- Joint Computational Resource Allocation and Layer Partitioning for Federated Learning
- Enhancing Global Path Planning via Simple Queries Across Multiple Platforms
- Optimizing MCMC-Driven Bayesian Neural Networks for High-Precision Medical Image Classification in Small Sample Sizes
- CAFE: Towards Practical WiFi Localization via Continuous Angle Focusing Effect
- Dynamic Cost Intelligent Routing Algorithm for Heterogeneous Communication Networks
- Solution to MSHR contention in multi-core real-time systems based on software hardware collaboration
- OpenIN: Open-Vocabulary Instance-Oriented Navigation in Dynamic Domestic Environments
- Enhanced JPEG Decoding Using PIM Architectures with Parallel MCU Processing
- Research on Control Law of Iterative Learning Model Predictive Control Method Based on State-Space Model
- GAN based Resilience Recovery for False Data Injection Attack in Smart Grids
- A Profit-Driven Resource Management Scheme for Collaborative Edge-Cloud Computing
- Phase-Based Frequency Scaling for Energy-Efficient Heterogeneous Computing
- Blockchain Empowered Secure Collaboration for Swarm Robots: Storage and Computation
- Real-Time Avoidance of Obstacles and Emergent Geo-Fences for Urban Air Mobility Using Deep Reinforcement Learning
- MultiFusionNet: Spatio-Temporal Camera-Radar Fusion in Dynamic Urban Environments
- Performance Enhancement for MMW-RoF System based on Dynamic Probabilistic Shaping Obfuscation and Tricolor Scrambling
- Compact Self-Packaged Low-Loss SISL LPF Using Symmetric Tri-Section SIRs
- Machine Learning with Spatial Context: Comparing Bayesian Geoadditive Regression Tree, Random Forest, and Gradient Boosting Machines for Gross Domestic Regional Product in Indonesia
- A Fault Diagnosis Method for Key Equipment in Oil and Gas Stations Based on Decision-Level Multi Source Data Fusion
- A Routing Algorithm for Computing Power Network Based on Deep Reinforcement Learning and Graph Neural Networks
- A Low Frequency Response Extension Method with Low Noise Floor, High Sensitivity and High Temperature Stability for Geophone
- DCKD: Bridging DETR and CNN-based Detectors with Decomposed Knowledge Distillation
- Robust Multimodal Beam Prediction With Missing Modality
- Case Study of Digital Development of the Yellow Crane Tower Using Augmented Reality Technology
- Grey and Color Image Segmentation by Reptile Search Algorithm aided with Tsallis entropy