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 ...

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 ...

An Iraqi-Canadian research team has created a new algorithm that can detect direction change in the line current of renewables-based microgrids. The novel approach can be applied to both grid-forming ...

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 ...

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 ...

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 ...

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 ...

Two former Google DeepMind researchers who worked on the company’s Nobel Prize-winning AlphaFold protein structure prediction AI as well as its AlphaEvolve code generation system have launched a new ...

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 ...

The proposed algorithm combines variational scheduling with post-processing to achieve near-optimal solutions to combinatorial optimization problems with constraints within the operation time of ...