Explainable machine learning predicts self-reported ESG adoption among bank-connected Malaysian SMEs
A cross-sectional study of 457 formal-sector, bank-connected Malaysian SMEs found that machine-learning models could classify ...
A retrospective multicenter study of 1,919 Chinese patients found that a 14-predictor gradient-boosting model achieved an AUC ...
These are 100 completely original questions based on the new Exam Guide provided by the official Google Cloud certification ...
Estimated reading time: approx. 3 minutes 30 secondsIn machine learning, models learned from past data are used to predict ...
Amin's research applies AI and machine learning especially multimodal, text, unsupervised, and graph-based methods to turn complex social-media, financial, organizational, e-commerce, database, and ...
Objective Hospital pharmacies operate under a persistent dilemma: ensuring uninterrupted access to essential medicines while ...
Dubai, United Arab Emirates – Zebra Technologies Corporation (NASDAQ: ZBRA), a global leader in digitising and automating workflows to deliver intelligent operations, will debut new solutions across ...
A lightweight NLP-based ticket routing system that classifies support tickets into TECHNICAL, HR, BILLING, or GENERAL. Built using TF‑IDF and Logistic Regression for fast, interpretable, and ...
Post-operative delirium (POD) is a common complication in older adults undergoing total knee arthroplasty (TKA). Procedure-specific predictive models remain limited. This study aimed to develop a ...
Here, we address this problem using carbon nanotube (CNT) field-effect transistors (FETs) in which the base device structure is lithographically fabricated before the deposition of gas-sensitive ...
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