Abstract: Data normalization is a fundamental part of preprocessing in decision-making problems. It enables aggregating and comparing different decision attributes using Multi-Criteria Decision Making ...
aisuite is a lightweight Python library that provides a unified API for working with multiple Generative AI providers. It offers a consistent interface for models from OpenAI, Anthropic, Google, ...
Overview: Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...
An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...
Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
Algorithmic trading, once the domain of global hedge funds, is now increasingly relevant for HNIs and family offices in India ...
Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial intelligence (AI) tools are becoming the ...
The system's ability to learn and adapt from operational data resulted in continuous performance improvements over time. Hospital administrators reported significant reductions in scheduling conflicts ...
Ripples maintain time-locked occurrence across the septo-temporal axis and hemispheres while showing local phase coupling, revealing a dual mode of synchrony in CA1 network dynamics.
Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...
A team led by Sogang University's Professor Kim Jong-rak compared the math performance of 10 domestic and foreign AI models, ...
Abstract: As the basis of various micro-electromechanical system (MEMS) sensors and actuators, MEMS resonators are widely beset with the feed-through effect from parasitic capacitance networks, which ...
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