- ReMaP: Macro Placement by Recursively Prototyping and Periphery-Guided Relocating
- ReasonDrive: Efficient Visual Question Answering for Autonomous Vehicles with Reasoning-Enhanced Small Vision-Language Models
- Hybrid Embedding Framework for Memory-Efficient Recommendation Systems
- Explaining Automations in IoT Settings
- United We Stand, Divided We Fall: Handling Weak Complementarity for Audio-Visual Emotion Recognition in Valence-Arousal Space
- AI Hiring with LLMs: A Context-Aware and Explainable Multi-Agent Framework for Resume Screening
- Intelligent Air Pollution Forecasting: A Deep Learning Approach with 1D-CNN and Kookaburra Optimization
- Performance Analysis of Machine Learning Models for Book Genre Classification Using LSTM and SVM
- CXL-INTERPLAY: Unraveling and Characterizing CXL Interference in Modern Computer Systems
- Deepfake Detection Methods and Trends: A Comprehensive Analysis
- S-Band Sar Target Classification Via 2D and 3D Deep Learning Methods
- Towards Scale-Aware Low-Light Enhancement Via Structure-Guided Transformer Design
- DROIDFUZZ: Proprietary Driver Fuzzing for Embedded Android Devices
- zkVC: Fast Zero-Knowledge Proof for Private and Verifiable Computing
- Optimizing Medical Equipment with AI-Driven Predictive Analytics
- Re 4 PUF: A Reliable, Reconfigurable ReRAM-based PUF Resilient to DNN and Side Channel Attacks
- PoP-ECC: Robust and Flexible Error Correction against Multi-Bit Upsets in DNN Accelerators
- Artificial Potential Fields Combined with Fuzzy Inference System Control for UAV Leader-Follower Path Tracking
- LLMs: A Driving Force in Next Generation Digital Design Automation
- Efficient High-Frequency Cryptocurrency Forecasting: A Comparative Study of ARIMA and LSTM
- CirSTAG: Circuit Stability Analysis on Graph-based Manifolds
- IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding
- NoiseZO: RRAM Noise-Driven Zeroth-Order Optimization for Efficient Forward-Only Training
- ARC-NeRF: Area Ray Casting for Broader Unseen View Coverage in Few-Shot Object Rendering
- SoyStageNet: Balancing Accuracy and Efficiency for Real-Time Soybean Growth Stage Detection
- Research on real-time dispatching strategy based on comprehensive adjustable capacity assessment of Electric Vehicles
- SDM-PEB: Spatial-Depthwise Mamba for Enhanced Post-Exposure Bake Simulation
- Model-Driven Quantitative Assessment Method for Flexible Load Adjustability
- FungiTastic: A Multi-Modal Dataset and Benchmark for Image Categorization
- Design and Experimental Results of the BEAR Integrated Circuit for Energetic Particle Detection
- Defending Against Transfer-Based Adversarial Attacks Using SVD-Driven Feature Evolution
- A True Hyperspectral Image Super-Resolution Dataset
- Motion Optimization Strategy for Passive Acoustic Monitoring With a Team of AUVs Considering Intermittent Communication
- An Optimized Integration Model for Distribution Network Expansion and Electric Vehicle Charging Stations Considering Distributed Generation
- Two-Tier PKI network for Implementing e-Certificates Service in Indonesia
- Analyzing Hierarchical Structure in Vision Models with Sparse Autoencoders
- Near-Incident Detection in Railroad Environments: Lateral Distance Estimation froM Train-Mounted Monocular Camera
- Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model
- Improved Out-of-Distribution Detection with Additive Angular Margin Loss
- DCO-3D: Differentiable Congestion Optimization in 3D ICs
- Megabits Down to Kilobits: Memory-Efficient Time-Aware Shaping for TSN
- BiNeuroRAM: Energy-Efficient ReRAM-Based PIM for Accurate Bipolar Spiking Neural Network Acceleration
- A Simple Detector with Frame Dynamics is a Strong Tracker
- Event-Based Eye Tracking. 2025 Event-Based Vision Workshop
- Multi-Flow: Multi-View-Enriched Normalizing Flows for Industrial Anomaly Detection
- Egocentric Event-Based Vision for Ping Pong Ball Trajectory Prediction
- Research on Shared Control Strategy and Presence Interaction Mechanism in Substation Operation Scenarios
- Structure Design and Breakdown Characteristics Enhancement of SGT-MOS with Dual-Zone High-K Dielectric Synergistic Modulation
- Privacy Preserving Federated Object Detection with Selective Semantic Fusion
- Seasonal Dynamics of Wireless Communications in Concentrated Solar Power Fields
- Approximate SMT Counting Beyond Discrete Domains
- Tropical: Enhancing SLO Attainment in Disaggregated LLM Serving via SLO-Aware Multiplexing
- LFTramba: Comprehensive Information Learning for Light Field Image Super-Resolution via a Hybrid Transformer-Mamba Framework
- A Trusted WLAN-Based Intelligent Patrol Network for Substation Applications
- Research on Corrosion Diagnosis Methods for Substation Grounding Grids
- Indonesian X Tweets Classification for General Eating Disorders (EDs) by Utilizing IndoBERT
- Late Breaking Results: Multi-Objective Multi-Bit Flip-Flop Placement Considering Pre-Placed Cells
- An Algorithm-Hardware Co-design Based on Revised Microscaling Format Quantization for Accelerating Large Language Models
- FedSECA: Sign Election and Coordinate-Wise Aggregation of Gradients for Byzantine Tolerant Federated Learning
- DLST: Dual-Template Co-Evolution Learning for Robust Long-Term Drone Tracking in Dynamic Environments
- FusedVision: A Knowledge-Infusing Approach for Practical Anomaly Detection in Real-World Surveillance Videos
- Pose-to-Pose: A New Task and Benchmark for Human Pose Transition in Yoga
- Scheduling of Flexible Scheduling Optimization Based on Bidirectional Coupling of Electricity and Hydrogen Multi-nodes
- A Set-Based Approach to Derive Contracts for Dynamic Behavior in Interconnected Systems
- Assessing the Impact of Information Security and Privacy Awareness on Privacy Protection Behavior Among College Students: A Structural Equation Modeling Approach
- Idoldancenet:Indian Heritage Idol Dance Pose Classification
- DyREM: Dynamically Mitigating Quantum Readout Error with Embedded Accelerator
- Quantum Federated Learning for Multimodal Data: A Modality-Agnostic Approach
- Channel Sensing and Vision-Aided Distributed Beamforming for 6G Ultra-Dense Networks
- Particle Swarm Optimization on Size of Halbach Array Permanent Magnets
- Open Dataset and Enhancement Method for Long-Wave Thermal Diurnal Material Classification
- Exploiting Power Side-Channel Vulnerabilities in XGBoost Accelerator
- Research on Adaptive Control of Rotational Inertia of Virtual Synchronous Generator
- DAWN: Accelerating Point Cloud Object Detection via Object-Aware Partitioning and 3D Similarity-Based Filtering
- Bridging the Gap for Sustainable Innovation in Indonesia by Enhancing Community-Based Online Communication
- AMAP: Automatic Multihead Attention Pruning by Similarity-Based Pruning Indicator
- Leveraging the power of Machine Learning techniques to Detect Botnet Attacks in IoT-5G Networks
- A Novel Image-Graph Heterogeneous Fusion Framework for Static IR Drop Prediction
- Improving Palm Oil Price Forecasting Using a Gaussian-Enhanced Generative Adversarial Imputation Network
- DuoQ: A DSP Utilization-aware and Outlier-free Quantization for FPGA-based LLMs Acceleration
- Classification Analysis of Stunting Data on Toddlers in Bekasi City Using Logistic Regression and Random Forest
- GLGOA-LSTM-BC: A Blockchain-Enabled Deep Learning Framework for Real-Time Cyberattack Detection in Drone Networks
- Invited paper: Enhancing Design Automation with Quantum Algorithms for Chip Design
- YOCO: A Hybrid In-Memory Computing Architecture with 8-bit Sub-PetaOps/W In-Situ Multiply Arithmetic for Large-Scale AI
- Automated Traffic Rules and Regulations Control System
- SimPhony: A Device-Circuit-Architecture Cross-Layer Modeling and Simulation Framework for Heterogeneous Electronic-Photonic AI System
- New Time-Domain Preconditioners for HB Jacobian of RF Circuits
- Learning-Aided Safe Controller Synthesis with Formal Guarantees via Vector Barrier Certificates
- PiCaZo: Pixel-Aligned Contrastive Learning for Zero-Shot Domain Adaptation
- Assessing Educational Data Mining Approach for Student Performance and Quotient Level Prediction based on Blooms Cognitive Level
- CND-IDS: Continual Novelty Detection for Intrusion Detection Systems
- Explaining 3D Point Cloud Semantic Segmentation Models Through Adversarial Attacks
- Research on Ultrasonic Detection Technology for Transformer Windings Based on BKA-ICCEMDAN Optimization Algorithm
- FUSION: Frequency-Guided Underwater Spatial Image recOnstructioN
- MetaDSE: A Few-shot Meta-learning Framework for Cross-workload CPU Design Space Exploration
- CVMAX: Accelerator Architecture with Polar Form Multiplication for Complex-Valued Neural Networks
- Impact of Rising Compound Drought and Heatwaves on Vegetation in Global Drylands
- Tracking Controllers for a Second Order System Derived from the ADRC Design Methodology
- Identifying Spatial Patterns of LULC Change with K-Means: A Case Study Using Satellite Data and Google Earth Engine
- Confidence-Calibrated Covariate Shift Correction for Few-Shot Classification in Vision-Language Models