Introduction Asthma is a chronic respiratory disorder requiring ongoing medical management. This ecological study ...
Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...
This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...
For much of my career, I have been fascinated by the ways in which materials behave when we reduce their dimensions to the ...
Abstract: Deep neural networks (DNNs)-based SAR target recognition models are susceptible to adversarial examples, which significantly reduce model robustness. Current methods for generating ...
MB_DEVICE_ADDR1 CID_INP_DATA_0, Data_channel_0 Data channel 1 MB_DEVICE_ADDR1 CID_HOLD_DATA_0, Humidity_1 Humidity 1 MB_DEVICE_ADDR1 CID_INP_DATA_1 Temperature_1 ...
A production-ready machine learning pipeline for classifying Persian news articles using TF-IDF + LinearSVC. Includes CLI tools, a REST API, preprocessing utilities, and deployment configuration.
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