Sequential Optimal Design of Coaxial Magnetic Gears for EV Reducers Using Taguchi Method and Machine Learning Surrogate Model

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Multi-Objective Energy Management Optimization on Grid-Integrated Microgrid Using Multi-Agent Deep Reinforcement Learning for Enhanced System Stability in HRES and BESS

Subjects: “…Computer Science & Information Science…”
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Spatially-Aware Channel Estimation via Discrete Channel Knowledge Maps

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Exploring Presence Patterns in an Educational Setting Through Electromagnetic Activity

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HD-SDNet: A Forest Fire Smoke Detection Model Based on Hierarchical Deformable Transformer

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MADSci: A modular Python-based framework to enable autonomous science

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A Python client for the ATLAS API

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FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning

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The Expansion Problem for Infinite Trees

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Formal Analysis of the Contract Automata Runtime Environment with Uppaal: Modelling, Verification and Testing

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FastPCA: An R package for fast singular value decomposition

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Pyphot: A tool for computing photometry from spectra

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ThRasE: A QGIS Plugin for Manual Post-Classification Correction and Quality Assurance of Thematic Maps

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visualCaseGen: An SMT-based Experiment Configurator for Community Earth System Model

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ParallelKDE.jl: A Package for Highly Parallel Kernel Density Estimation

Subjects: “…Computer Science & Information Science…”
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Copernicus Seasonal Forecast Tools Package: Bridging Seasonal Climate Predictions and Impact Models for Operational Risk Assessment

Subjects: “…Computer Science & Information Science…”
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ArviZ: a modular and flexible library for exploratory analysis of Bayesian models

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SpatialProteomicsNet: A unified interface for spatial proteomics data access for computer vision and machine learning

Subjects: “…Computer Science & Information Science…”
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simulist: An R package to simulate disease outbreak line list and contacts data

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Privacy-Preserving Multi-Class Skin Lesion Classification Using Single-Shot Machine Unlearning and Noise Maximization

Subjects: “…Computer Science & Information Science…”
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