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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-24

BloomQGen: An Intelligent Question Paper Generation System Using Machine Learning and Bloom's Taxonomy

A. H Auti Pritesh Premnath Waghmare

Preparing examination question papers manually is a time-consuming and challenging task for educators. Faculty members must ensure balanced syllabus coverage, appropriate marks distribution, and proper assessment of students across different cognitive levels. Manual preparation o…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-24

Before the Model: Why Datasets and Data Representation Define What Machine Learning Can Learn

Jean Franck Loa Rojas

Machine learning systems do not learn reality directly; they learn from the representations preserved in their datasets. This structured narrative review examines how dataset purpose, coverage, integrity, labeling, independence, reproducibility, governance, and continuity determi…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-23

Predictive Maintenance of Power Transformers using Machine Learning- A Case Study

AMANING RICHMOND OFORI, Electronic Engineering, DR JOSEPH C. ATTACHIE

The importance of power transformers in electrical power systems cannot be overstated, as their failures can lead to considerable economic losses and disruptions. The typical malfunctions encountered by a power transformer comprise dielectric issues, thermal losses due to copper…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-25

Event-Based Prediction of Liquidity Sweep Dynamics in XAUUSD Using Machine Learning

Vanshvardhan Sharma

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…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-24

Resume Ranking Engine Using Machine Learning and Natural Language Processing for Automated Candidate Screening

V. Satish Mantripragada Akshaya Pranathi

Organizations often receive hundreds of resumes for a single job opening, making manual candidate screening slow and difficult to manage. Conventional recruitment methods generally depend on keyword matching or manual evaluation, both of which may overlook qualified applicants be…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-25

Intelligent Classification of Respiratory Diseases Using Machine Learning-Based Lung Sound Analysis

Tara V K, Varsha S

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…

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