Dynamic Modeling of a Bio-Inspired Snake-Like Soft Robot Using a Parallel Robotic Architecture

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Data-driven analysis and prediction of traffic accident dynamics using spatiotemporal modeling and optimized machine learning techniques

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Corrections to “Internet of Things (IoT) and Machine Learning Model of Plant Disease Prediction–Blister Blight for Tea Plant”

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A Unified Analytical Framework for Classical DC–DC Converters in Continuous Conduction Mode With PWM-Switch Modeling

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Bioactivity-Enhanced 3D FDG-PET Metabolic Network Modeling With Transformer Architecture for Parkinsonian Syndrome Subtyping

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Developing an Adaptive Enterprise Architecture Model Integrating Business Capabilities, Value Streams, and IT for Strategic Alignment in Complex Organizations

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Api based automated plant disease analysis using transfer learning on pre-trained vision transformer model

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Stock Crash Risk Prediction With Implied Volatility Index: A Comparison of Tree-Based and Transformer-Based Models

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A Systematic Review of Prompt Injection Attacks on Large Language Models: Trends, Taxonomy, Evaluation, Defenses, and Opportunities

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BiKAN-LoadNet: An Electric Load Forecasting Model Based on Bidirectional LSTM and Kolmogorov–Arnold Networks

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Modeling Pedestrian Priority at Unsignalized Crossings Using Machine Learning: Toward Data-Driven Transport Policy Solutions

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Robust Vision-Language Alignment Using Multi-Modal Large Language Models for Open-Vocabulary Semantic Segmentation

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Design of Multiple Supplementary Controllers for Embedded HVDC Links Using a Model-Free Adaptive Control Approach

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Establishment and Analysis of Correlation Between Li-Ion Battery Model Accuracy and Kalman Filter-Based SOC Estimation

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Copernicus Seasonal Forecast Tools Package: Bridging Seasonal Climate Predictions and Impact Models for Operational Risk Assessment

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A Bayesian Monte Carlo Variational Inference Estimation Procedure for Dynamic Factor Models on Stock Price Returns

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TAMIS: Golden-Model-Free EM Trojan Detection via Temperature-Aware Multi-Instance Segmentation and Clustering

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The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text

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From Elastic to Viscoelastic: An EEMD-Enhanced Pulse Transit Time Model for Robust Blood Pressure Estimation

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Beyond One-Size-Fits-All Exercises: Personalizing Computer Science Worksheets with Large Language Models

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