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- A Comparative Study of Deep Learning Models and XAI for Breast Ultrasound Image Classification
- Enhancing Multi-Modal Automatic Target Recognition Using Out-of-Distribution Exploitation (MATRODE)
- Analysis of the Application of Rooted Node in GP 2 Programming Language for Knowledge Graph-Based Movie Recommendation Systems
- Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
- An Efficient Modeling Approach for Electrothermal Migration Analysis of On-Chip Interconnects
- YOLOv5 Meets ISOA: A Bio-Inspired Optimization Framework for Fall Detection and Localization
- Drawing the Line: Wearable Linear Haptics Motivated by Guided Breathing
- Small-Signal Stability Analysis of Three-Level Grid-Connected Inverters Using Hybrid H-Matrix Modeling
- BlasPart: A Deterministic Parallel Partitioner for Balanced Large-Scale Hypergraph Partitioning
- Feasible Domain Analysis of Resource Aggregation for Building Groups Flexibility Based on Improved Enumeration Method
- A Risk-based Adaptive Authentication Model for Mobile IoT
- Monolithic 3D FPGA Design and Synthesis with Back-End-of-Line Configuration Memories
- VSpGEMM: Exploiting Versal ACAP for High-Performance SpGEMM Acceleration
- HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection
- PIMPAL: Accelerating LLM Inference on Edge Devices via In-DRAM Arithmetic Lookup
- Generalizable Unsupervised Microscopy Video Denoising via Weighted SpatioTemporal Sampling
- E-BARF: Bundle Adjusting Neural Radiance Fields from a Moving Event Camera
- Harnessing Conventional Video Processing Insights for Emerging 3D Video Generation Models: A Comprehensive Attention-aware Way
- Sustainable Informatics of New Applications: The Support of Perceived Usefulness to User Satisfaction
- YouTube Sentiment Analyzer for Modi (YSAM): Unlocking YouTube Comment Sentiments with Machine Learning and Visualization
- Event Quality Score (EQS): Assessing the Realism of Simulated Event Camera Streams via Distances in Latent Space
- Stock Market Trends and Forecasting: A Study of Machine Learning and Time Series Models
- Multi - stage Stochastic Optimization Scheduling of Service Area Virtual Power Plant Considering Source and Load Uncertainty
- Development of a Portable IoT-Based Air Quality Monitoring System
- Airbnb Price Prediction using Hexaboost: A Data-Driven Approach
- Object Detection Data Synthesis via Box-to-Image Generation based on Diffusion Models
- HeteroSVD: Efficient SVD Accelerator on Versal ACAP with Algorithm-Hardware Co-Design
- Beyond Raw Videos: Understanding Edited Videos with Large Multimodal Model
- Integrating Homomorphic Encryption and Synthetic Data in FL for Privacy and Learning Quality
- A Fast, Iterative Clock Skew Scheduling Algorithm with Dynamic Sequential Graph Extraction
- Performance Analysis of Active RIS-aided Wireless Communication Systems over Nakagami-m Fading Channel
- Beyond Neurofibrillary Tangles: Explainable AI for Microscopic Tauopathy Classification in Immunofluorescence Imaging
- TLAC: Two-Stage LMM Augmented CLIP for Zero-Shot Classification
- Enhanced Pixel Value Differencing in YCbCr for High-Capacity
- GNN-MLS: Signal Routing in Mixed-Node 3D ICs through GNN-Assisted Metal Layer Sharing
- AI-Driven Chatbots and Brand Perception: A Study on Conversational UX in Digital Marketing
- PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition
- Deep Ensemble Learning for Alzheimer’s Disease Classification from Structural MRI Using Fine-Tuned VGG Models
- Naïve Bayes-Based Data Analysis on Google Play Store’s User Review of Bank Jago Application
- Why We Feel: Breaking Boundaries in Emotional Reasoning with Multimodal Large Language Models
- Multi-Agent Yield Analysis For Circuit Design
- SynCircuit: Automated Generation of New Synthetic RTL Circuits Can Enable Big Data in Circuits
- HH-PIM: Dynamic Optimization of Power and Performance with Heterogeneous-Hybrid PIM for Edge AI Devices
- Real-time Speech Emotion Detection in Employees using Multimodal Emotion Recognition
- VSC-HVDC Power Module with Active Energy Release Function
- INSIGHT: A Universal Neural Simulator Framework for Analog Circuits with Autoregressive Transformers
- Formation Control of Three Unstable Robots
- Towards Uncertainty-aware Robotic Perception via Mixed-signal BNN Engine Leveraging Probabilistic Quantum Tunneling
- Considering the low-carbon optimal scheduling of hybrid energy storage in the park
- Late Breaking Results: Opera: An Open and Efficient Platform for Data-driven Synthesis of Analog Circuits
- NTIRE 2025 Ambient Lighting Normalization Challenge Report
- Research on Distributed Synthetic Aperture Passive Positioning and Optimal Geometric Configuration
- Parallel Dynamic Partitioning for Datapath Combinational Equivalence Checking
- Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
- Web-Based Real-Time Pothole Detection Using YOLOv8 for Edge-Level Road Monitoring
- Sensing Information-assisted CSI Feedback for UAV Communication Systems
- PacQ: A SIMT Microarchitecture for Efficient Dataflow in Hyper-asymmetric GEMMs
- Trishul: Towards Region Identification and Screen Hierarchy Understanding for Large VLM Based GUI Agents
- CaddieSet: A Golf Swing Dataset with Human Joint Features and Ball Information
- Advanced Machine Learning Techniques for Accurate Heart Disease Prediction
- Fine-Grained Few-Shot Classification with Part Matching
- Design of Triband Planar Monopole Antenna for Internet of Things (IoT) – Based Pet Feeder Application
- SHO-Xception: An Optimized Deep Learning Framework for Intelligent Intrusion Detection in Network Environments
- Experimental Demonstration of 224 Gbit/s PM-PAM4 IM/DD Transmission System Using TFLN Polarization Controller
- Making Every Event Count: Balancing Data Efficiency and Accuracy in Event Camera Subsampling
- Airline Ticket Price Prediction using Wavelet Enhanced Hybrid Forecasting Model Approach
- A Novel Ensemble Approach for Legal Case Recommendation: Leveraging Sentence-BERT and Weighted Random Forests
- An Energy-Efficient High-Utilization Hardware Architecture for Attention Mechanism in Transformer using Balanced Systolic Array and Multi-Row Interleaved Operation Ordering
- Ultra-Wideband and Wide-Angle RCS Reduction of Antenna Array Using Dual-Layer Miniaturized Polarization Conversion Metasurface
- LLMShare: Optimizing LLM Inference Serving with Hardware Architecture Exploration
- Intelligent Data Processing for IoT Real-Time Analytics and Predictive Modeling
- OnlyFlow: Optical Flow Based Motion Conditioning for Video Diffusion Models
- Enhancing Facial Expression Recognition with LSTM Through Dual-Direction Attention Mixed Feature Networks and Clip
- 3D-TokSIM: Stacking 3D Memory with Token-Stationary Compute-in-Memory for Speculative LLM Inference
- LMM-IR: Large-Scale Netlist-Aware Multimodal Framework for Static IR-Drop Prediction
- Dual-Path Enhancements in Event-Based Eye Tracking: Augmented Robustness and Adaptive Temporal Modeling
- Machine and Deep Learning Approaches for Accurate Identification of Ischemic and Hemorrhagic Strokes
- PartStickers: Generating Parts of Objects for Rapid Prototyping
- MLOps for Improved Inferencing, Deployability and Observability of Recommendation Engine
- Implementation of LSTM Optimized by Simulated Annealing for Toxicity Prediction: Case Study AR-LBD Toxicity
- AARC: Automated Affinity-aware Resource Configuration for Serverless Workflows
- Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction
- An LLM Framework for Long-Form Video Retrieval and Audio-Visual Question Answering Using Qwen2/2.5
- FoodVideoQA: A Novel Baseline Framework for Dietary Monitoring
- G-SpNN: GPU-Accelerated Passivity Enforcement for S-Parameter Modeling with Neural Networks
- UPPET: Unified Pedestrian Pose Estimation in Thermal Imaging
- Machine Learning-based Electricity Theft Detection Considering Customer Consumption Pattern and Geographical Condition
- Predicting Drug Responses: A Comparative Analysis and Visualization of Machine Learning Models
- Automated Liver Lesion Segmentation with Deep Learning Model
- AutoSkewBMT: Autonomously Synthesizing Optimized Integrity Authentication Mechanism for DNN Accelerators
- BRAT: Bidirectional Relative Positional Attention Transformer for Event-Based Eye Tracking
- Prompt Categories Cluster for Weakly Supervised Semantic Segmentation
- NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Results
- HoBBy: Hardening Unbalanced Branches against Control Flow Attacks on Intel SGX and AMD SEV
- Look Before You Leap: A Self-Review Bayesian Optimization Method for Constrained High-Dimensional Design Space Exploration
- AnomalyHybrid: A Domain-Agnostic Generative Framework for General Anomaly Detection
- Proc-Gs: Procedural Building Generation for City Assembly with 3D Gaussians
- Price Adjustment for Micro, Small, and Medium-Sized Enterprise Business Using Machine Learning
- Deep Reinforcement Learning for Mobile Robot Navigation in Dynamic Environments