- Balanced reflectionless BPF with wide-frequency differential- and common-mode quasi-reflectionless behavior and high selectivity
- Annual case counts and clinical characteristics of pediatric and adolescent patients with diabetes in Kenyatta National Hospital, Nairobi, Kenya. A 14 year retrospective study
- Healthcare utilization and resource distribution before and after interdisciplinary pain rehabilitation in primary care
- Vibrational strong coupling modulated by graphene plasmons in deep metal grating structures
- Assessment of circadian rhythm protein levels in the pathogenesis of infantile colic
- Manipulating mitochondrial gene expression
- Modeling Insurance Claim Count Dynamics using Regime-Switching INGARCH Model
- Antepartum cerebroplacental ratio in low risk pregnancy and its relationship with adverse perinatal outcome: a prospective cohort study
- Simulation of polyurethane foaming process based on physical property parameters
- The WTO Minus One: A Rules-Based Global Trading System Without The US?
- LncRNA EBLN3P inhibits myocardial inflammation and apoptosis after acute myocardial infarction via targeting miR-675-3p
- Secured multiplexed optical fiber transmission scheme using chaotic signal
- Tafasitamab interference in immunofixation electrophoresis
- Analytical and numerical investigation of exact wave patterns and chaotic dynamics in the extended improved Boussinesq equation
- LangGas: Introducing Language in Selective Zero-Shot Background Subtraction for Semi-Transparent Gas Leak Detection with a New Dataset
- GPT-FL: Generative Pre-Trained Model-Assisted Federated Learning
- Citygen: Infinite and Controllable City Layout Generation
- Learned Smartphone Isp on Mobile Gpus, Mobile Ai 2025 Challenge: Report
- NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge
- InfScaler: Enabling Efficient ML Inference Serving on Multi-Accelerator Edge Devices via Asymmetric Auto-Scaling
- The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report
- Research on accurate perception method of multi-source and multi-modal data based on data features
- MMDrive: Multi-Modal Remote Physiological Signal Measurement Dataset for Driver Status Monitoring
- Comparison-Free Bit-Stream Generation for Cost-Efficient Unary Computing
- PatternPaint: Practical Layout Pattern Generation Using Diffusion-Based Inpainting
- Good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval
- CND-IDS: Continual Novelty Detection for Intrusion Detection Systems
- XYScanNet: A State Space Model for Single Image Deblurring
- BlockPIM: Optimizing Memory Management for PIM-enabled Long-Context LLM Inference
- Document Management System Interface Design for MSME General Audit Process with Goal-Directed Design Method
- Prospective Layout-Guided Multi-modal Online Hashing
- Rgb Photo Enhancement on Mobile Gpus, Mobile Ai 2025 Challenge: Report
- AASD: Accelerate Inference by Aligning Speculative Decoding in Multimodal Large Language Models
- Universal Diabetes Prediction: An API Solution Leveraging Docker and Azure for Scalable Deployment and Accessibility
- A Data Acquisition and Interaction Approach for Security and Stability Control Devices Based on Data Communication Gateway and Its Applications
- Development of an HTTP-based Leaderboard System for the 8-Puzzle Game Using the Linear Congruential Generator Algorithm with the System Usability Scale Analysis Method
- Improving Palm Oil Price Forecasting Using a Gaussian-Enhanced Generative Adversarial Imputation Network
- Impact of Rising Compound Drought and Heatwaves on Vegetation in Global Drylands
- DuoSpaceNet: Leveraging Both Bird's-Eye-View and Perspective View Representations for 3D Object Detection
- An Orbital Approach to Deadlock Resolution in Multi-Agent Coordination
- DuoQ: A DSP Utilization-aware and Outlier-free Quantization for FPGA-based LLMs Acceleration
- FUSION: Frequency-Guided Underwater Spatial Image recOnstructioN
- WQLCP: Weighted Adaptive Conformal Prediction for Robust Uncertainty Quantification Under Distribution Shifts
- DL-VTON: An Image-Based Virtual Try-On Framework Using Deep Learning Models
- Innovations in MEC Federation: Leveraging SDN for Enhanced Connectivity and Resource Optimization
- ITACLIP: Boosting Training-Free Semantic Segmentation with Image, Text, and Architectural Enhancements
- Confidence-Calibrated Covariate Shift Correction for Few-Shot Classification in Vision-Language Models
- Tracking Controllers for a Second Order System Derived from the ADRC Design Methodology
- GLGOA-LSTM-BC: A Blockchain-Enabled Deep Learning Framework for Real-Time Cyberattack Detection in Drone Networks
- Identifying Spatial Patterns of LULC Change with K-Means: A Case Study Using Satellite Data and Google Earth Engine
- YOCO: A Hybrid In-Memory Computing Architecture with 8-bit Sub-PetaOps/W In-Situ Multiply Arithmetic for Large-Scale AI
- SimPhony: A Device-Circuit-Architecture Cross-Layer Modeling and Simulation Framework for Heterogeneous Electronic-Photonic AI System
- Automated Traffic Rules and Regulations Control System
- Classification Analysis of Stunting Data on Toddlers in Bekasi City Using Logistic Regression and Random Forest
- CVMAX: Accelerator Architecture with Polar Form Multiplication for Complex-Valued Neural Networks
- Invited paper: Enhancing Design Automation with Quantum Algorithms for Chip Design
- MetaDSE: A Few-shot Meta-learning Framework for Cross-workload CPU Design Space Exploration
- Assessing Educational Data Mining Approach for Student Performance and Quotient Level Prediction based on Blooms Cognitive Level
- Efficient Burst Super-Resolution with One-Step Diffusion
- Analyzing Social Media Sentiment on Telkom University National Campus: Insights into Public Opinion
- Intriguing Properties of Robust Classification
- Learning-Aided Safe Controller Synthesis with Formal Guarantees via Vector Barrier Certificates
- PiCaZo: Pixel-Aligned Contrastive Learning for Zero-Shot Domain Adaptation
- Late Breaking Results: Fine-Tuning LLMs for Test Stimuli Generation
- ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance
- BLOOM: Bit-Slice Framework for DNN Acceleration with Mixed-Precision
- New Time-Domain Preconditioners for HB Jacobian of RF Circuits
- Cloud Computing-Driven Machine Learning Strategies for Predicting and Preventing Cyber Threats
- Machine Learning Algorithms for Real-Time Monitoring of Wastewater Treatment Efficiency
- Two Views are Better Than One: Monocular 3D Pose Estimation with Multiview Consistency
- Characterizing Meteorology-Driven Flexibility Dynamics in Power Systems with High Renewable Integration
- Efficient Recycling Subspace Truncation Method for Periodic Small-Signal Analysis
- Advanced Domain Adaptation for Fault Diagnosis in Condition Monitoring
- NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results
- Smart Irrigation Robot Based on Moisture and Temperature Sensors Using Fuzzy Logic with Wireless Monitoring
- Weakly Supervised Panoptic Segmentation for Defect-Based Grading of Fresh Produce
- Raw Image Reconstruction From Rgb on Smartphones. Ntire 2025 Challenge Report
- Enhancing Few-Shot Class-Incremental Learning via Frozen Feature Augmentation
- How Good is my Video-LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMs
- Kaplan-Meier Bivariate Survival and Cox Copula Regression : A Case Study on Cataract Patients at Undaan Hospital
- P-DAC: Power-Efficient Photonic Accelerators for LLM Inference
- DCDiff: Enhancing JPEG Compression via Diffusion-based DC Coefficients Estimation
- Quadrocular, Neuromorphic Stereo Triangulation and Asynchronous Data Fusion for 3D Object Tracking
- Power-Grid Structure Exploration with Unified Sequence-based Learning Framework
- An Efficient Bit-level Sparse MAC-accelerated Architecture with SW/HW Co-design on FPGA
- Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization
- Secondary Dynamic Compensation of Virtual Inertia in Microgrid Based on Improved VSG Control Architecture
- Adaptive Cybersecurity for IoT and Edge Computing Devices using AI/ML
- Learning from Noise: Enhancing DNNs for Event-Based Vision Through Controlled Noise Injection
- An Ensemble Deep Learning Model Using CNN, LSTM and Autoencoder for EEG-Based Parkinson’s Disease Classification
- Decoupling Analog Circuit Representation from Technology for Behavior-Centric Optimization
- Design and Modeling of an Amphibious Quad-Rotor for in-Pipeline Inspection
- Comparative Analysis of Electromagnetic Field Shielding Effectiveness in Composite Products Manufactured via Pressing and 3D Printing Techniques
- EdgeMM: Multi-Core CPU with Heterogeneous AI-Extension and Activation-aware Weight Pruning for Multimodal LLMs at Edge
- Classification of Hadith Authenticity Using ArabicBERT
- LLM-Driven CIDOC-CRM Knowledge Graph Extraction from Museum Archives
- Textinvision: Text and Prompt Complexity Driven Visual Text Generation Benchmark
- A Knowledge Base and System based on Relay Protection Defect Handling and Maintenance Methods
- VISTA-CLIP: Visual Incremental Self-Tuned Adaptation for Efficient Continual Panoptic Segmentation
- VRAG: Retrieval-Augmented Video Question Answering for Long-Form Videos
