This kind of rapid diagnosis is one of the big promises of artificial intelligence for use in health care. Proponents of the technology say that over the coming decades, AI has the potential to save ...
Abstract: The present paper tackles the dynamic job shop scheduling problem (DJSSP), aiming to schedule a new set of jobs while minimizing the completion time of all operations. The problem is an ...
RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...
Long before anyone had built a machine capable of holding a real conversation, Alan Turing was already asking what would ...
Abstract: The net present value (NPV)-based resource constrained project scheduling problem (RCPSP) is a well-known scheduling problem in many industries, such as construction, software development, ...
A new AI-driven system designed to optimize energy use and resource allocation in smart agriculture has demonstrated superior performance over conventional machine learning models, according to a 2025 ...
The objective of this study is to provide a model and method to assist fabricators in making appropriate precast production plans, coordinating factories prefabrication and on-site assembly in ...
In the table, the row index represents the sequence number of the operation, the column index represents the sequence number of the machine, and the numerical value represents the corresponding ...
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