Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Abstract: This paper presents an experimental validation of a new Python-based indoor channel model for Visible Light Communication using Color Shift Keying. Traditional Color Shift Keying models have ...
A comprehensive validation and testing framework for the Deep Thinking Protocol (DTP). Includes tools for XSD validation, constitutional compliance, and SCXML state machine execution, with a rich ...
In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...
Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...
Abstract: Current adversarial attacks are capable of achieving effective evasion against machine learning-based static malware detectors. However, these methods have problems such as long example ...
An OpenAI-compatible API server implementation for Google's Gemma 3 language model with function calling capabilities, optimized for Apple Silicon. gemma-3-python/ ├── gemma_proxy.py # Main server ...
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