Abstract: Software engineering in low-resourced countries is just gaining momentum. A considerable number of students enroll for the masters program at Makerere University in hope of achieving the ...
Abstract: The Internet, as the world's largest computer network, has evolved beyond a mere repository of information to become an indispensable tool driving modern society. Its dynamic nature enables ...
Abstract: In the realm of continuous integration and continuous deployment (CI/CD), safeguarding software systems is crucial. Integrating threat modeling into the DevOps pipeline ensures that security ...
Abstract: Resting-state functional connectivity networks (rs-FCNs) have been most frequently used for brain network analysis in neuroscience. However, a body of evidence indicates that task-state FCNs ...
Abstract: Point-spread-function (PSF) engineering is a well-established computational imaging technique that uses phase masks and other optical elements to embed extra information (e.g., depth) into ...
When most people think of computer simulations, they imagine sleek graphics or Hollywood-style animations. But for Tayfun Tezduyar, the James F. Barbour Professor of Mechanical Engineering at Rice ...
Drivers looking to buy an affordable electric vehicle may have another option to consider after cameras were seen filming a new Toyota SUV ahead of its debut. The 2026 Toyota C-HR electric SUV will ...
Sept 4 (Reuters) - Cadence Design (CDNS.O), opens new tab said on Thursday it will buy the design and engineering business of Stockholm-based Hexagon AB (HEXAb.ST), opens new tab for 2.7 billion euros ...
University Department of Statistics and Computer Applications, T. M. Bhagalpur University, Bhagalpur, India Software reliability analysis is vital for evaluating software quality, where reliability is ...
Abstract: In modern software engineering, requirements analysis and modeling are key steps in requirements engineering, influencing the subsequent system design and implementation. Traditional ...
The recent advance in Large Language Models (LLMs) has shaped a new paradigm of AI agents, i.e., LLM-based agents. Compared to standalone LLMs, LLM-based agents substantially extend the versatility ...
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