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 ...
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 ...
We developed two algorithms to identify patients with stomach, lung, colorectal, breast, and cervical cancers: diagnosis only (algorithm 1), and combining diagnosis, treatments, and medicines ...
So far, it has not been possible to explain the causes of around half of all rare hereditary diseases. A Munich research team has developed an algorithm that predicts the effects of genetic mutations ...
Performance validation of an artificial intelligence-powered PD-L1 combined positive score analyzer in six cancer types. Cost and time estimates for integrating a cardiovascular health application for ...
An international research team has developed a hybrid maximum power point tracking (MPPT) technique for PV systems that operate under partial shading or rapidly changing atmospheric parameters. The ...
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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 ...
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