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AN ADDITIVE ABLATION STUDY ON AUTOMATED CODE GENERATION: INSIGHTS FROM ROBERTABART_X
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Machine Learning Driven Intrusion Detection for Internet of Things Networks: A Comparative Study of Ensemble and Traditional Models
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An Intelligent Dermoscopic Image Analysis Framework for Skin Cancer Detection Using Enhanced Metaheuristic-Optimised Support Vector Machines
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EXPLAINABILITY FATIGUE IN ARTIFICIAL INTELLIGENCE: A PRISMA-GUIDED CONCEPTUAL FRAMEWORK OF COGNITIVE LIMITS IN HUMAN–AI INTERACTION
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JOURNAL OF COMPUTER SCIENCE AND ITS APPLICATIONS: VOLUME 32, NO.1, JUNE 2025
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A Quantitative and Computational Efficiency Comparison of CNN and Vision Transformer Architectures for Pneumonia Detection from Chest X-rays
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An Ensembled Crop Recommendation System Using Soil Analysis and Image Classification
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A Comparative Study of Minimalist and Maximalist UI/UX Design Approaches for Meal Plan Consultation Application
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Design and Implementation of an Online Whistle-Blower Reporting System to Combat Public Property Vandalism in Lagos State
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THE ROLE OF DATA SCIENCE IN OPTIMIZING RENEWABLE ENERGY GENERATION FROM WIND FARMS: A CRITICAL CONCEPTUAL REVIEW
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A Brain Tumor Detection And Identification System Using Large Language Model
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JOURNAL OF COMPUTER SCIENCE AND ITS APPLICATIONS: VOLUME 27, NO.2, DECEMBER 2020
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JOURNAL OF COMPUTER SCIENCE AND ITS APPLICATIONS: VOLUME 26, NO.2, DECEMBER 2019
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JOURNAL OF COMPUTER SCIENCE AND ITS APPLICATIONS: VOLUME 28, NO.1, JUNE 2021
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JOURNAL OF COMPUTER SCIENCE AND ITS APPLICATIONS: VOLUME 28, NO.2, DECEMBER 2021
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JOURNAL OF COMPUTER SCIENCE AND ITS APPLICATIONS: VOLUME 29, NO.1, JUNE 2022
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JOURNAL OF COMPUTER SCIENCE AND ITS APPLICATIONS: VOLUME 29, NO.2, DECEMBER 2022
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JOURNAL OF COMPUTER SCIENCE AND ITS APPLICATIONS: VOLUME 30, NO.1, JUNE 2023
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JOURNAL OF COMPUTER SCIENCE AND ITS APPLICATIONS: VOLUME 30, NO.2, DECEMBER 2023
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JOURNAL OF COMPUTER SCIENCE AND ITS APPLICATIONS: VOLUME 31, NO.2, DECEMBER 2024
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An Empirical Study of Automated Machine Learning Python Libraries Using Source Code Analysis
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Using machine learning to guide automated intrusion response
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Automated Machine Learning for Predicting Trends in Time Series Data
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Development of a Cost-Effective Data Collection System for Monitoring Urban Traffic Using Automated Intelligent Image Processing and Machine Vision