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 ...
Artificial intelligence (AI) is becoming the core engine driving how cities think, build, and evolve. From energy-efficient construction and resilient infrastructure to citizen-centered design, AI can ...
Abstract: We revisit orthogonal lattice (OL) attacks and rounding techniques (RT) for solving the Approximate Common Divisor (ACD) problem. First, we systematically organize all existing OL algorithms ...
Abstract: With the acceleration of urbanization, the construction resource management of civil pipeline engineering construction needs to seek a balance between multiple objectives such as resource ...
ABSTRACT: Objective: To develop and validate a machine learning-based risk prediction model for postoperative nausea and vomiting (PONV) following gynecological day hysteroscopy, providing ...
Preorder traversal: The first element is always the root of the tree. The elements that follow are the preorder traversal of the left subtree, followed by the preorder traversal of the right subtree.
Abstract: Machine learning stands poised to revolutionize the process of scientific discovery across various disciplines. In this talk, we will introduce a state-of-the-art scientific machine learning ...
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