Computational Analysis of Non-Newtonian Blood Flow in a Human Arterial Bifurcation Model

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Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

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Dynamic Neural‐Model‐Based Predictive Control for Autonomous Wheel‐Legged Robot System

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Study on One Kind of Three- dimensional Virtual Model of Teaching Based on Artificial Intelligence

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Integrated Topic Modeling and Feature Engineering for High-accuracy Sentiment Classification in Consumer Reviews

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Modeling Sentiment Spread in Reddit's Financial Communities Through Epidemiological and Deep Learning Approaches

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A bayesian-driven feedforward neural network model for Kafka cluster latency forecasting

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Comparison of equivalent circuit and machine learning methods for CubeSat battery discharge modeling

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Analysis of packet loss probability models in a router buffer based on traffic fractality

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War-driven displacement and COVID-19 in Poland: simulation study using LSTM model

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Integrating Built-in Feature Importance and Mutual Information for Efficient Android Malware Classification Model

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Deep Fusion of Heterogeneous Features and Semantic Mixer for Graph Neural Network Model

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OneTrack-M: A Multitask Approach for Transformer-Based MOT Models

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Advancing Biodiversity Monitoring by Integrating Multimodal AI Models into Camera Trap Workflow

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Identifiability of Causal Graphs under Non-Additive Conditionally Parametric Causal Models

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Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees

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Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process

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Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models

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Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data

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Identifiability of Causal Graphs under Non-Additive Conditionally Parametric Causal Models

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