ADBA Computer Science

Current Issue

Vol. 1 No. 1 (2024)
Published July 5, 2024

ADBA Computer Science is a peer-reviewed interdisciplinary journal dedicated to advancing understanding and application of all areas within computer science. The journal serves as a nexus for researchers, educators, engineers, and practitioners to disseminate cutting-edge research findings, innovative theories, and practical applications across diverse computer science disciplines. The journal aims to foster interdisciplinary collaboration and facilitate the exchange of ideas among researchers and practitioners working in various fields of computer science. We welcome contributions that explore theoretical developments, computational methods, experimental observations, and practical implementations related to computer science.

We are particularly interested in contributions that address the following topics:

  • Algorithms and Data Structures
  • Machine Learning and Artificial Intelligence
  • Software Engineering and Development
  • Database Management and Data Mining
  • Computer Graphics and Visualization
  • Cybersecurity and Information Assurance
  • Networking and Communications
  • Computational Biology and Bioinformatics
  • Human-Computer Interaction
  • Quantum Computing

ADBA Computer Science strives to bridge the gap between theoretical computer science and practical technological advancements, contributing to the global discourse in technology and its applications. We encourage submissions that push forward the boundaries of our knowledge and contribute to the ongoing discussions in the computer science community.

Through rigorous peer review and a commitment to quality, ADBA Computer Science seeks to uphold the highest standards of integrity and scholarly excellence. We invite authors to contribute their best work and join us in advancing the fields of computer science and technology.

 

Articles

Cem Özkurt, Firdevs Sungu (Author)
1-7
Deep Learning in Agriculture: Detection and Analysis of Sugar Beets with YOLOv8
PDF File
DOI: https://doi.org/10.69882/adba.cs.2024071
Emre Deniz (Author)
8-13
Evaluating the Effectiveness of Machine Learning Models in Predicting Student Academic Achievement
PDF File
DOI: https://doi.org/10.69882/adba.cs.2024072
Yusuf Alaca, Erdal Basaran, Yüksel Celik (Author)
14-18
Enhancing Anomaly Detection in Large-Scale Log Data Using Machine Learning: A Comparative Study of SVM and KNN Algorithms with HDFS Dataset
PDF File
DOI: https://doi.org/10.69882/adba.cs.2024073
Cem Özkurt (Author)
19-25
Environmental Sustainability through AI: A Case Study on CO2 Emission Prediction
PDF File
DOI: https://doi.org/10.69882/adba.cs.2024074
Khalid Hani Abushahla, Muhammed Ali Pala (Author)
26-35
Optimizing Diabetes Prediction: Addressing Data Imbalance with Machine Learning Algorithms
PDF File
DOI: https://doi.org/10.69882/adba.cs.2024075
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