Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...

The algorithm's performance was tested on publicly available datasets such as corn, soil, and beer, and multiple high-performance variable selection algorithms. The results showed that the algorithm ...

Tempus HRD-RNA is an AI-driven, 1,660-gene logistic regression model designed to identify patients likely to respond to ...

Developed by scientists in India, the global maximum power point (GMPP) technique is based on the voltage and current of strings in a PV array. The research group tested it in computer simulation, as ...

Engineers have developed a new signal analysis technology that enhances radar range resolution and is applicable to various radar systems. The joint research team led by Sangdong Kim and Bongseok Kim ...

Please provide your email address to receive an email when new articles are posted on . Researchers envision training the algorithm to help cardiologists identify liver disease from subcostal views. A ...

A search problem refers to the task of finding a solution within some space of possible options, and that space could be made up of discrete steps or continuously varying values. For example, solving ...

The rise of self-driving cars represents a significant technological advancement in the automotive industry. These autonomous vehicles utilize a combination of advanced sensors, artificial ...

iEEG is a procedure that measures brain activity by placing electrodes directly on or inside the brain. This detailed information is crucial for diagnosing and treating conditions like epilepsy, where ...

Medical imaging methods such as ultrasound and MRI are often affected by background noise, which can introduce blurring and obscure fine anatomical details in the images. For clinicians who depend on ...