Dynamic power cables (DPC) are a common, yet complex component used in offshore renewable energy systems such as floating offshore wind farms/turbines. However, their dynamic torsional behavior has not yet been contemplated. Hence, this paper develops an effective numerical approach using a simplified, scaled-down fini...
Rucille Ramlal, D. Desai, Lamine Dieng· Advances in Science and Tech...· 0 citations
: This experiment was conducted during the 2024 growing season at the horticulture orchards of the University of Duhok in Sumel city, Duhok governorate, Kurdistan region of Iraq. It investigated the effect of three doses of liquid vermicompost (0, 50 and 100 ml plant -1 ) and three levels of foliar spray with potassium...
N. Hussein, S. H. Salih· Anbar Journal of Agricultura...· 0 citations
There's no denying that Artificial Intelligence (AI), Machine Learning (ML), and Big Data technologies are profoundly changing the face of software engineering and organizational leadership. As these technologies keep evolving, the design, deployment, and management of software systems are undergoing unprecedented chan...
Harsh Verma· International Journal of Eng...· 1 citation
An integrated conceptual framework is presented which maps layers of the MAS architecture to decision postures in the enterprise, a cross domain performance synthesis, and a research agenda for the next generation of enterprise-scale autonomous agent systems are presented.
Harsh Verma· International Journal of Eng...· 0 citations
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Policy drift takes shape through a nonlinear differential equation - framed within the policy state space - with support from Lyapunov stability concepts alongside bifurcation methods alongside bifurcation methods, and the Intent Drift Rate appears: a concrete number per dialogue turn built as the time-based change in...
Harsh Verma· International Journal of Sci...· 1 citation
This conceptual paper theorizes agentic workflows systems, where an AI agent or agents proactively perceive, plan, act and reflect throughout the entire software development lifecycle (SDLC); its implications for end to end software engineering automation are discussed.
Harsh Verma· World Journal of Advanced Re...· 1 citation
AI-driven cybersecurity in the software engineering field is discussed, where machine learning, deep learning, natural language processing, and reinforcement learning can be applied throughout the software development lifecycle to provide increased security.
Harsh Verma· World Journal of Advanced Re...· 0 citations
Intent-Based Security (IBS), a structured approach built on foundational ideas from access control, zero-trust models, and principal-agent dynamics, shows why trusting identities fails against invisible threats.
Harsh Verma· International Journal of Sci...· 0 citations
The speed of cloud computing and artificial intelligence, which have transformed the way software applications are designed and deployed. The cloud-based AI systems provide a scalable, adaptable, and cost-efficient solution to build intelligent systems capable of processing large amounts of data and running complicated...
Harsh Verma· World Journal of Advanced Re...· 0 citations
The Dark Forest hypothesis treats cosmic silence as the strategic consequence of uncertainty, catastrophic vulnerability and incentives for pre-emptive attack. Its central conclusion is usually stated intuitively rather than derived from an explicit incomplete-information game. This paper develops the Bayesian Dark For...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
The Dark Forest hypothesis treats cosmic silence as the strategic consequence of uncertainty, catastrophic vulnerability and incentives for pre-emptive attack. Its central conclusion is usually stated intuitively rather than derived from an explicit incomplete-information game. This paper develops the Bayesian Dark For...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
Reliability Beyond Accuracy in Crop Classification Benchmarks (Supplementary Materials)Introduction: Near-perfect crop-label accuracy can conceal uncertainty, perturbation sensitivity, and weak explanations. This study evaluates these reliability dimensions without treating benchmark classification as agronomic recomme...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
