- A Comparative Study of ETS, ARIMA, and Reconciliation Techniques for Hierarchical Product Forecasting in Retail SMEs
- High- and Low-order Transaction Aggregation Graph Network for Ethereum Phishing Detection
- Mitigating Data Bias in Healthcare AI with Self-Supervised Standardization
- Safety-Aware Shared Control for Teleoperated Robotic Precision Tasks Under Dynamic Interference
- Reservoir Computing Based on ZnWO 4 - x /WO 3 - x Heterojunction Optoelectronic Memristor for Time-Series Data and Static Image Processing
- A Multi-AUV Cooperative Search Scheme Based on Acoustic-optical Communication and Deep Reinforcement Learning
- A Group Decision-Making Model Integrating Information Consensus and Polarity
- EM2FL: An Embedding Multimodal Fusion Federated Learning Approach to Optimize Privacy and Performance
- Spread Spectrum Time Domain Reflectometry for Microwave Breast Cancer Detection
- Optimization Scheduling of Local Market Resources Based on Simulated Annealing Algorithm
- Joint Multi-modal Graph Structure and Representation Learning for Fake News Detection
- MeanCache: User-Centric Semantic Caching for LLM Web Services
- AdaptPerf: Adaptive Measurement for Computing Power of Heterogeneous Devices Based on NAS
- A Hybrid Usage Scheme of DVL Measurement for SINS/DVL Integration
- Precise Calibration for Virtual Binocular Stereovision System Based on Biprism
- Research on the Path of Intelligent Library Innovation Ecological Construction Based on Ai Large Model
- Exploring the Effects of Mergers and Acquisitions on Employee Turnover Rate in High-Tech Firms
- Trajectory Planning of the Wireless-Powered UAV in Wireless Charging Network
- The Application of Computer-Assisted Translation Technology in the Language Service Industry Within the Russian Language Environment
- Locality Aware Process Remapping for Distributed-Memory Graph Workloads
- HPFIA: A High-Performance Fuzzy Inference Accelerator for Situation Assessment on Airborne Equipment
- Achieving High Energy Efficiency for Network Slicing-Enabled 5G O-RAN Base Stations
- Leveraging Resource-Aware Application-Level Checkpointing and RDMA for Fault Tolerance and Data Distribution in Malleable MPI Applications
- Pair-Then-Aggregate: Simplified and Efficient Parallel Programming Paradigm for Secure Multi-Party Computation
- Revisiting Diversity Metrics and Coverage Criteria for Deep Neural Networks Quality Assessment from the Perspective of Test Adequacy
- CLARITY: A Lightweight Multimodal Transformer for Harmful Content Detection
- DINO-VO: A Feature-Based Visual Odometry Leveraging a Visual Foundation Model
- RXT: RefleXive Address Translation for Pointer-Chasing Workloads
- Analysis of the Impact of Remote Earth Configurations Using CDEGS
- Energy-efficient Distributed Heterogeneous Hybrid Flow-shop Scheduling Using Graph Neural Network and Deep Reinforcement Learning
- Affective Evaluation Based on Gamified Experience and Cascaded Fuzzy Reasoning for Wrist Rehabilitation
- Separable Reversible Data Hiding in Encrypted Images Based on Systematic Polar Code and Flag Bit Transmission Channel Model
- Computation Offloading Scheduling Using Game Abstraction in Ultra-dense Networks
- A Novel Cascaded Multimodal Information Fusion Approach for Stable Real-time Lower Limb Motion Recognition via Portable Sensors
- Artificial Intelligence in Corporate Culture Assessment: A Study of the Correlation Between Deep Learning and Corporate Performance
- AlterCell Attack: Exploiting a Logic Vulnerability in Tor Cell Integrity Validation
- A Non-Parametric Unsupervised Approach for Robust Lane-Change Estimation From Highway-Based Trajectory Data
- Advancing Maritime Communication: A Hybrid PLC/RIS-RF/UAC System with Performance Analysis
- Sniffer Channel Selection Based on Value Decomposition Networks in CRNs
- LMI-Based Robust Model Predictive Control Architecture for a Quarter Car With Series Active Variable Geometry Suspension
- Harmonic and Non-linear Effects on the Parameters and Performance of a Vernier Machine with Flux Concentrating Spoke Rotor
- A Distributed Multi-Modal Sensing Approach for Human Activity Recognition in Real-Time Human-Robot Collaboration
- Intra-Pulse Forwarding Jamming Detection and Identification Framework for Airborne Radar System under Clutter Environment
- Frequency-Divided Learning of Fine-Grained Clothing Behavior via Flexible Dynamic Graphs
- LaOvl: Lifecycle-Aware Overlay File System for Efficient Container I/O in Cloud Computing
- The HTS cable line project in St. Petersburg, history and implementation.
- Progressive Training for Learning From Label Proportions
- High-Quality All-Solution-Processed White Light-Emitting Diodes Based on Colloidal Quantum Wells
- A Communication Gating Control Scheme for Multi-UAV Cooperative Maritime Search based on Deep Reinforcement Learning
- Extending Energy-Efficient and Scalable DNN Training and Inference with 3D Photonic Accelerator
- Dynamic Task Offloading and Resource Allocation in Vehicle Edge Computing and Networks: A Graph Attention-Based Deep Reinforcement Learning Approach
- Trajectory Tracking Control Employing Nonlinear Compensator and State Observer for Photothermal-Driven Liquid Crystal Elastomer Actuator
- Enhancing Image Captioning Model Performance through use of Synthetic Image Generation and Semantic Filtering
- To Compress or Not to Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O
- An Adaptive Two-Stage Algorithm for Error-Bounded Scientific Data Compression
- Causal Modeling-Based Multivariate KPIs Prediction for Parameter Adjustment in Cellular Networks
- Queueing System with Single Vacation and Single Service with Feedback
- WCL-SFR: Window-Based Contrastive Learning for Signal Feature Reconstruction
- FLAME: Federated Learning for Attack Mitigation and Evasion
- StAR: Learning on Text-Attributed Graphs with Structure-Aware Rationales
- SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
- Imitation Reinforcement Learning Attitude Controller for Fixed-Wing UAVs
- TDDC: A Transformer-Based Data and Knowledge Dual-Driven Scheme for Automatic Modulation Classification
- Fault Handling in Robotic Manipulation Tasks for Model Predictive Interaction Control
- Cell Voltage Estimation for Supercapacitor Systems with Terminal Voltage Measurement
- Enhancing Label Noise Robustness for Hyperspectral Image Classification by Neighborhood Contrastive Learning
- Leveraging Artificial Intelligence in a Decision Support System for Optimizing Energy Management
- Energy-Aware Computation Offloading and Routing Strategy for Multi-UAV-assisted Mobile Edge Computing
- Dynamic Routing Mechanism for Load Distribution in UAV Swarm Networks with Edge Caching
- Efficient Estimation of Active Element Patterns for 2-D Planar Array Antennas via Directional Decomposition
- PC-Explorer: Decentralized Multi-UAV Exploration in Bandwidth-Limited Environments
- Effect of Heavy Ion Radiation on Electrical Performance of AlGaN/GaN HEMTs in Non-Gate Region
- 360VOTS: Visual Object Tracking and Segmentation in Omnidirectional Videos
- Learning Policies for Dynamic Coalition Formation in Multi-Robot Task Allocation
- Efficient Traffic Light and Vehicle Coordination via Heterogeneous Attention Reinforcement Learning
- Comparison of Control Performance in Operating Automatic Temperature Control System (Oyster Mushroom Farmhouse) Using Intelligent Control with ARX Model
- Federated Knowledge Distillation using Hierarchical Reinforcement Learning in Resource-Constrained IoT Edge-Cloud Computing Environments
- A Novel Three-Port DC–DC Converter With Wide Input Voltage Range for Satellite Application
- Cello: Co-Designing Schedule and Hybrid Implicit/Explicit Buffer for Complex Tensor Reuse
- Multi-Grained Vision-and-Language Model for Medical Image and Text Alignment
- For What the Bell Tolls
- Battery Fault Detection Using Enhanced Spatial-Temporal Features for Electric Vehicles
- Efficient Reflectarray Analysis using Dispersive Debye FDTD and Surface Susceptibility Model
- Cross-sensor Generalization for Fingerprint Presentation Attack Detection Leveraging Local Feature Enhancement
- A Ship Tracking Method in Inland Waters Based on Fusion of Video and AIS Data
- Enhanced Health Information Management with Blockchain-Assisted FL-CNNs and Autoencoders in the Internet of Medical Things
- Accelerating Collaborative Perception via Cooperative Inference in Vehicular Edge Computing
- The Power of Parallelism: Accelerating Discovery in the Biosciences
- Eccentricity Diagnosis of Electric Machines Using Harmonic Ratio-Based Indices From Resolvers
- SarAdapter: Prioritizing Attention on Semantic-Aware Representative Tokens for Enhanced Medical Image Segmentation
- Influence Evaluation Based Fair Federated Learning on Non IID Data in Internet of Vehicles
- Blockchain-Powered Electronic Health Record System for Enhanced security
- MUDIFEI: Multi-dimensional Feature Extraction and Interaction Model for Human Transition Action Recognition based on Sensor Data
- TMGAN: A GAN-Based Traffic Morphing Defense Against Website Fingerprinting
- CoRD: Converged RDMA Dataplane
- Toward Communication-Efficient Over-the-Air Federated Learning: Synergistic Compression for Uplink and Downlink Transmission
- Flexible SSPP Low-Pass Filter Employing Trapezium-Mounted Semicircular-Shaped Unit Cell for B5G NR FR1 Radio Stripes Network
- Bumpless Build Cube (BBCube TM ) 3D: Heterogeneous 3D Integration Using WOW and COW
- AQUA: Hardware-Agnostic Qubit Allocation for Quantum Multi-Programming
- HPDR: High-Performance Portable Scientific Data Reduction Framework