Abstract: Automated design of job shop scheduling rules using genetic programming as a hyper-heuristic is an emerging topic that has become more and more popular in recent years. For evolving ...

Abstract: The concentration of fine particulate matter (PM2.5), which represents inhalable particles with diameters of 2.5 micrometers and smaller, is a vital air quality index. Such particles can ...

Leaders at EBRAINS, a collection of tools and data resources for basic neuroscience research, are finalizing the platform’s 10-year plan amid calls to improve its usability.

Background The prompt and precise diagnosis of active pulmonary tuberculosis (TB) is crucial for controlling this disease and ...

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Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...

Heart failure (HF) remains a pressing health concern, with rising prevalence globally. Subjectivity and ambiguity in the ...

Truong Xuan Khanh Stable Multimodal Graph Unlearning via Feature-Dimension Aware Quantile Selection Jingjing Zhou , Yongshuai Yang , Qing Qing , Ziqi Xu , Xikun Zhang , Renqiang Luo , Ivan Lee , Feng ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Think of tokenomics as a cloud budget for AI; it stops your team from accidentally racking up massive bills on giant prompts and oversized model responses.

eHealth Literacy (nowadays also sometimes referred to as "digtial health literacy" was introduced and defined as "the ability to seek, find, understand, and appraise health information from electronic ...

Summary: Researchers introduced a deep-learning artificial intelligence capable of predicting the molecular classification of brain and spinal cord tumors in minutes using standard, universally ...