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PlayoffsNet--Enhancing NBA Playoffs Prediction Through Engineered Features and Explainable Deep Learning

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Curriculum-Enhanced Adaptive Sampling for Physics-Informed Neural Networks: A Robust Framework for Stiff PDEs

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Deep Temporal & Structural Embeddings for Robust Unsupervised Anomaly Detection in Dynamic Graphs

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Enabling Ease of Access to Quantum Chemistry with Transformer-Based Text Encoding and Physics-Informed Multilayer Perceptron

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Telescope Indexing for k-Nearest Neighbor Search Algorithms over High Dimensional Data & Large Data Sets

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Accelerating Density of States Prediction in Zn-Doped MgO Nanoparticles via Kernel-Optimized Weighted k-NN

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QuantumShellNet--Ground-State Eigenvalue Prediction of Materials Using Electronic Shell Structures and Fermionic Properties via Convolutions

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p-ClustVal--A Novel p-adic Approach for Enhanced Clustering and Valuation in High-Dimensional scRNASeq Data

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Multimodal Neural Network-Based Predictive Modeling of Nanoparticle Properties from Pure Compounds

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A Reinforcement Learning Approach to Effective Forecasting of Pediatric Hypoglycemia in Diabetes I Patients--an extended de Bruijn Graph

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