I Gusti Arya Dwipa Aryawangsa, Ni Luh Putu Ayu Diantini, Yuniarty
Grace Dooshima GBOR, Emmanuel Ogala, Donald Douglas Atsa’am, Iorshashe Agaji
Abstract The rapid growth of data-intensive applications has necessitated the development of scalable and efficient architectures for cloud-based machine learning and data analysis. This study proposes a scalable, distributed, and fault-tolerant architecture designed to address t…
Respiratory diseases such as asthma, chronic obstructive pulmonary disease (COPD), pneumonia, bronchiectasis, bronchiolitis and upper respiratory tract infection (URTI) remain among the leading causes of illness and death worldwide. Conventional diagnosis relies heavily on auscul…
Executive Summary RAQA-Weather is a comprehensive weather intelligence system designed for Iran that combines real-time web scraping, machine learning-based spatial prediction, and interactive visualization. The system processes data from 17 synoptic stations across Iran and gene…
This paper develops a machine learning framework for detecting and predicting liquidity sweep events in XAUUSD using event-based market microstructure analysis. Using 15-minute data from 2014–2024, the study formalizes liquidity sweeps as a binary classification problem evaluated…
Jahnavi Somaraju, Dhanalakshmi G, Rakshitha V, Kavitha G, Rajani A
Real-world phishing traffic is heavily imbalanced — legitimate URLs vastly outnumber phishing ones in any live traffic stream — and the two error types carry different costs: a missed phishing site (false negative) can lead directly to credential theft, while a legitimate site wr…
Uro Heo, Taehyun Kim, Youngje Kwon, Jingyu Seo, K.H. Kim, Namhyun Kang
This dataset contains the data used in the paper "Hybrid Machine Learning Framework for Microstructure-Based Composition Reconstruction and Hardness Prediction of Al–Si Die-Casting Alloys". The dataset (approximately 3GB) is divided into two main parts: OMtoEDS: Contains the data…