Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and brand-new LLM-based ...
The Saudi Media Forum 2026 Questions the Journalism of Tomorrow: Truth, Trust, and Sustainability in the Age of ...
Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...
Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
Risk management within construction has always been a moving target. Today's projects demand proactive strategies due to ...
Discover how AI, drones, IoT sensors, and digital twins are transforming construction monitoring to reduce delays, cut rework ...
Abstract: The required signal processing rate in future wireless communication systems exceeds the performance of the latest electronics-based processors. Introduction of analog optical computation is ...
Abstract: The stochastic resource allocation (SRA) problem, commonly seen in the decision-making of complex systems, is a typical combinatorial optimization challenge that seeks optimality, quickness, ...
The compressive strength (CS) is the most important parameter in the design codes of reinforced concrete structures. The development of simple mathematical equations for the prediction of CS of ...
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