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Vol. 2 No. 2 (2025): TechComp Innovations: Journal of Computer Science and Technology
TechComp Innovations: Journal of Computer Science and Technology is a peer-reviewed, open-access academic journal dedicated to advancing innovative research in computer science and emerging technologies. Volume 2, Number 2 (2025) features 5 original research articles authored by 18 researchers from 8 countries, including Azerbaijan, Poland, the United States, Canada, India, Pakistan, the Russian Federation, and the Democratic People’s Republic of Korea. This issue highlights contemporary advancements in artificial intelligence, intelligent systems, computational optimization, and technology–law integration, covering topics such as self-supervised learning, federated intelligence, AI legal frameworks, optimization algorithms, and deep reinforcement learning for robotic systems. By presenting interdisciplinary research and global scholarly collaboration, this volume contributes valuable insights into the development of innovative and responsible technological solutions.
Published:
2025-12-24
Articles
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A Self-Supervised Multi-Scale Fusion Framework for Accurate and Efficient Image Segmentation
DOI :
https://doi.org/10.70063/techcompinnovations.v2i2.125
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Federated Intelligence Architectures for Secure, Data-Driven Innovation Across AI, IoT, and Cloud Ecosystems
DOI :
https://doi.org/10.70063/techcompinnovations.v2i2.124
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An Accelerated Dynamic Programming Framework Based on Quadrilateral Inequality and Convex Monotonicity Theory
DOI :
https://doi.org/10.70063/techcompinnovations.v2i2.109
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Mobile Robot Control using Deep Reinforcement Learning and Autoencoder in Dynamic Environment
DOI :
https://doi.org/10.70063/techcompinnovations.v2i2.110
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