Institution
Ostim Technical University
Recent research
- AI & ComputingOpen access
Performance Evaluation of Steganogan Using Hybrid Image Datasets and Statistical Quality Metrics
This study proposes a novel approach by employing SteganoGAN, a steganographic framework based on Generative Adversarial Networks (GANs). The impact of image categories with different semantic contents (art, building, and nature) on system performance was examined in detail using...
- Climate & EnvironmentOpen access
Microbial fuel cells (MFCs) are emerging as a transformative bioelectrochemical technology capable of bridging the gap between circular waste management and sustainable, decentralized power generation. This review critically examines recent advances and emerging trends in waste-t...
- AI & ComputingOpen access
The channelling of data center investments toward inland, relatively less industrialized regions of Türkiye such as Central Anatolia is frequently debated in public discourse alongside the question of whether such regions can actually produce technological innovation. This study...
- AI & ComputingOpen access
The channelling of data center investments toward inland, relatively less industrialized regions of Türkiye such as Central Anatolia is frequently debated in public discourse alongside the question of whether such regions can actually produce technological innovation. This study...
- Society & Economics
How progress ends: Technology, innovation, and the fate of nations
Carl Benedikt Frey opens with a puzzle that ought to unsettle anyone who assumes progress is self-sustaining, asking the question: why do the two economies most feverishly investing in artificial i...
- AI & ComputingOpen access
A tiered deep learning and symbolic reasoning framework for safe, explainable disease diagnosis
This study introduces a modular, AI-powered disease diagnosis system that combines deep learning, neuro-symbolic reasoning, and structured automation to support early, scalable, and explainable clinical decision-making. Built upon the large-scale DDXPlus dataset, the system proce...
- Engineering & TechnologyOpen access
Multi-frame fusion is standard for converting frame-by-frame license plate character detections into stable, reliable readings. Character Time-Series Matching (CTM), a leading approach, associates characters across frames using the Hungarian algorithm with a fixed Euclidean dista...
- Society & EconomicsOpen access
Abstract In this paper, we employ the generalized autoregressive conditional heteroscedasticity-mixed data sampling (GARCH-MIDAS) framework to forecast the daily volatility of state-level stock returns in the United States based on monthly metrics of oil price uncertainty (OPU) a...
- BiologyOpen access
Homology aware benchmarking of deep learning models for CAZy enzyme family classification
The CAZy database organizes carbohydrate-active enzymes into more than 800 families with distinct biochemical roles, making automatic family assignment from sequence a high-value task in metagenomics and enzyme engineering. Although recent deep learning studies have reported stro...