Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new generation of intelligent industrial environments capable of real-time ...
This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...
Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational ...
Abstract: Optimizing sensor placement is crucial for enhancing the coverage and data-acquisition efficiency of ocean monitoring systems. Traditional approaches primarily rely on univariate ocean data ...
Abstract: To utilize water resources optimally, plan agricultural activities properly, and manage the risks of natural disasters in a country such as India where the economy relies heavily on the ...
Beyond its methodological contribution, the study offers new insights into how stimulus-driven variability and internally generated gain fluctuations evolve over time and between brain areas. The ...
Epilepsy is one of the common disorders known to man, with early accounts of the disorder traced back to antiquity.1 It was ...
Background Although the increased risk of cardiovascular disease in patients with SLE is well-documented, effective tools for ...
Background The presence of a coincident intracranial aneurysm (CIA) on the target vessel of patients undergoing mechanical thrombectomy (MT) for acute ischemic stroke (AIS) poses challenges, as the ...
Amusement park patrons, wanting to go on a log ride, might not have to wait in line at all, they might have to wait for hours, or the wait could be anywhere in between. For a random log rider, the ...
This useful study supplements previous publications of willed attention by addressing a frontoparietal network that supports internal goal generation. The evidence is solid in analyzing two datasets ...
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