- Cycle Training with Semi-Supervised Domain Adaptation: Bridging Accuracy and Efficiency for Real-Time Mobile Scene Detection
- ePBR: Extended PBR Materials in Image Synthesis
- CTC: Contribution to Classification of Complex Features
- Mtevent: a Multi-Task Event Camera Dataset for 6D Pose Estimation and Moving Object Detection
- FullCycle: Full Stage Adversarial Attack for Reinforcement Learning Robustness Evaluation
- Multi-Objective Optimization of Capacity and Power Allocation for Energy Storage Systems in Wind-Photovoltaic- Energy Storage Power Station Microgrid
- Efficient Malware Detection with Optimized Learning on High-Dimensional Features
- A Hybrid Simulated Annealing-Particle Swarm Algorithm for MPPT in PV Systems
- Efficient Image Generation with Variadic Attention Heads
- Advances In Attack-Defense Game Models For IIoT
- Prediction of distributed photovoltaic power based on data interpolation with SE-CNN-BiGRU fusion model
- Research on delay compensation algorithm based on FCS-MPCC for photovoltaic power generation system
- Evaluating the Impact of Image Augmentation on Deep Learning-Based Road Pothole Detection
- FaceGest: A Comprehensive Facial Gesture Dataset for Human-Computer Interaction
- Voltage Sag Analysis Using Quantum Computing Based on Gram Matrix Method
- Adversarially Domain-Adaptive Latent Diffusion for Unsupervised Semantic Segmentation
- ExaM: Unsupervised Concept-Based Representation Learning to Better Explain Models in Vision Tasks
- Late Breaking Results: FPGen-3D: Automated Framework for 3D-FPGA Architecture Generation and Exploration
- Alzheimer’s Disease Detection from MRI Scans using Deep Hybrid Architecture with Metaheuristic Hyperparameter Tuning
- VQT-CiM: Accelerating Vector Quantization Enhanced Transformer with Ferroelectric Compute-in-Memory
- A High-Precision and Low-Cost Approximate Transform Accelerator for Video Coding
- Combining Vision-Language Models and Weak Supervision for Nuanced Vision Classification Tasks
- Efficient Self-Supervised Learning for Earth Observation via Dynamic Dataset Curation
- Research on Disaster Early Warning and Emergency Response System for Underground Cables Based on Digital Twin
- FineCausal: A Causal-Based Framework for Interpretable Fine-Grained Action Quality Assessment
- Research on Air-blast Arc Quenching Method Based on Precision Measurement and Control
- Window Token Concatenation for Efficient Visual Large Language Models
- Enhancing Flexibility for Coal-Fired Power Plant via Integrated Pulverized Coal Silo System
- Research on the application of the coupling device between unmanned aerial vehicle and live-line utomatic lnstallation robot based on the Hough algorithm in grounding ring positioning of 10kV lines
- Mixed Structural Choice Operator: Enhancing Technology Mapping with Heterogeneous Representations
- Deep Learning-based Student Engagement Detection using CNN, Mobile Net, ResNet50, VGG16
- Leveraging Intermediate Features of Vision Transformer for Face Anti-Spoofing
- Classification of Stocks with Potential to Reach Minimum Price Levels on the Indonesian Stock Exchange using Support Vector Machine (SVM) and eXtreme Gradient Boosting (XGBoost)
- From Flatland to Forest: Exploring Pareto-optimal Design through RTL Hierarchy Trees
- TIRE 2025 challenge on Text to Image Generation Model Quality Assessment
- An Evolutionary Game Approach to Multi-Technology Synergy in Logistics Information Sharing for Smart Supply Chains
- HARMONY: Hidden Activation Representations and Model Output-Aware Uncertainty Estimation for Vision-Language Models
- ASRR-PINN: Adaptive Sub-Regional Random Resampling-Based PINN for Thermal Analysis of 3D-ICs
- Rational Chebyshev and Padé Approximations for Fractional Order Transfer Function (FOTF)
- MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation
- Fusing Free-Space Observation in GM-PHD Filter
- Task Scheduling with Duplication Avoidance for ICN-based Autonomous In-Network Computing
- Uncertainty Quantification for Gradient-Based Explanations in Neural Networks
- Hierarchical energy control strategy for hydrogen-electric hybrid power system based on Harris Hawks Optimization
- LVM-MO: A Large Vision Model Pioneer on Full-Chip Mask Optimization
- Show or Tell? A Benchmark to Evaluate Visual and Textual Prompts in Semantic Segmentation
- Balancing Privacy and Action Performance: A Penalty-Driven Approach to Image Anonymization
- A Cross-model Fusion-aware Framework for Optimizing (gather-matmul-scatter) s Workload
- Reading in the Dark with Foveated Event Vision
- Dynamic Watermarks in Images Generated by Diffusion Models
- AI-Powered Framework for Enhancing E-Government Service Automation
- A New Approach to the Design of the Linear Systems with Desired Poles and Zeros
- Better Coherence, Better Height: Fusing Physical Models and Deep Learning for Forest Height Estimation from Interferometric SAR Data
- Reflexive Thematic Analysis of Big Data Governance Practices in Public Higher Learning Institutions
- Indonesian Educational Chatbot for Sports, Health and Physical Education using Retrieval-Augmented Generation
- Application of Time-Frequency Signal Processing Techniques for UAV Fault Diagnosis
- Routability-aware Packing for High-density Nonvolatile FPGAs
- Topic and Sentiment Analysis of Maternal Health Applications in Indonesia Using LDA and Random Forest
- ArbiterQ: Improving QNN Convergency and Accuracy by Applying Personalized Model on Heterogeneous Quantum Devices
- Enhancing Recommendation Performance using Attribute-aware Message-Passing and Augmentation GCN
- Efficient Identification of Rice Leaf Disease Through the Use of Cutting-Edge Deep Learning Techniques
- Cell-wise Self-optimization: Making Pre-trained Model Better in Remote Sensing Counting
- Dust to Detail: Restoring Sand-dust Images with Frequency-Guided Attention and Multi-Scale Features
- AGDPM-Net: Hybrid Ensemble Framework for Genetic Disorder Prediction
- Aerial Infrared Health Monitoring of Solar Photovoltaic Farms at Scale
- CLESQ-ZOA-GCRNN: A Hybrid Deep Learning Framework for Predicting IVF/ICSI Success using Optimized Clinical Features
- Exploring Dynamic Security Analysis of Android Apps Across Flutter Versions
- FlexStep: Enabling Flexible Error Detection in Multi/Many-core Real-time Systems
- Holistic Design towards Resource-Stringent Binary Vector Symbolic Architecture
- Hybrid Fog-Cloud Architectures for Enhanced IoT Scalability and Performance
- NeuRadar: Neural Radiance Fields for Automotive Radar Point Clouds
- A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges
- Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
- Joint Cutting for Hybrid Schrödinger-Feynman Simulation of Quantum Circuits
- Rethinking Compressive Sensing: A Compression Framework for Video Super-Resolution
- Intermittent Systems at Small Scale: Execution Model and Design Guidelines
- Exploring Deep Architectures for Accurate Breast Cancer Prediction using Histopathological Images
- Dynamic Electricity Carbon Emission Factor Estimation for Gas-Fired Power Units Using Temporal Encoding and Bayesian Calibration
- Tornado Prediction and Tracking Using Cloud-Based Data Solutions
- GaussR-SLAM: Gaussian Robust SLAM in Data Loss and Interference Environments
- A Deep Learning Model Integrating Reinforcement Learning for Personalized English Language Learning and Automated Feedback in CALL Systems
- Dynamic State-Control Modeling for Generalized Remote Sensing Image Super-Resolution
- LLM-Based Chatbot for the Indonesia University IT Service Desk: Integrating DeepSeek-v3 API and a RAG Approach
- EPOC: An Efficient Pulse Generation Framework with Advanced Synthesis for Quantum Circuits
- LNTransformer: Lung Nodule Transformer for Sparse CT Segmentation
- Frequency-Prior Enhanced Ambient Lighting Normalization Via Visual Perceptual Refinement
- SPIdepth: Strengthened Pose Information for Self-Supervised Monocular Depth Estimation
- Research on the Scheme for Non-outage Reconstruction of GIS Substations
- Robustness Evaluation for Video Models with Reinforcement Learning
- Comparative Analysis of Deep Learning Models for Alcohol Scene Detection: A Comprehensive Benchmark Study
- Mining Public Sentiment on Digital Tax System: A Twitter-Based Case Study of Coretax DJP
- Uncovering Branch Specialization in InceptionV1 Using K Sparse Autoencoders
- Scale-Invariant Implicit Neural Representations for Object Counting
- Neutral Point Grounding Configuration Effects on Voltage Balance in a Three-Phase IPOS LCC Resonant Converter
- ARCANE: Adaptive RISC-V Cache Architecture for Near-memory Extensions
- Text-Guided Patch Scoring and Local Distortion Guidance for Image Quality Assessment
- Towards Evaluating the Robustness of Visual State Space Models
- ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation
- ForesightNav: Learning Scene Imagination for Efficient Exploration
- Identification of Deterioration Areas in Green Vegetables Using Image Segmentation Algorithm Based on Green Vegetable Photos