ISSN : 2663-2187
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Strategies for Teaching Vocabulary Effectively to ESL Students: Identifying and Resolving Challenges : An Emperical Study
Volume 7 | Issue - 1 articles in press
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Perceiving the Self and Others: A Phenomenological Analysis of Character Consciousness in Anita Nair's Fiction
Volume 7 | Issue - 1 articles in press
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Soft Skills: The Catalyst for Critical Thinking in Engineering Education
Volume 7 | Issue - 1 articles in press
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A Comprehensive Framework for Exploring and Evaluating Learning Digital Resources in English Language Classrooms
Volume 7 | Issue - 1 articles in press
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EXPLORATION OF INDIGOFERA PROSTRATE AGAINST OXIDATIVE STRESS AND EVALUATION FOR NEUROPROTECTION IN CHEMICALLY INDUCED NEUROTOXIC RATS
Volume 7 | Issue - 1 articles in press
High-Performance Software Defect Prediction Across Multiple Datasets with Various Machine Learning Models
Main Article Content
Abstract
Software defect prediction is vital for ensuring the reliability and stability of software systems. In this study, we present a comprehensive analysis of high-performance defect prediction across multiple datasets using various machine learning models. Specifically, we focus on three datasets: JM1, CM, and PC, each representing distinct software projects or domains
