Dr. Karl Kaiser, professor of marine and coastal environmental science in the College of Marine Sciences and Maritime Studies at Texas A&M University at Galveston is exploring an innovative idea: ...
Patients will soon have the option to integrate their medical records with popular AI programs, highlighting new dangers along with opportunities to bridge gaps in care, according to experts.OpenAI ...
As water-intensive data centres expand worldwide, their impact on sanitation, inequality and disease is emerging as a serious ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Abstract: Water-filling (WF) algorithms are pivotal in maximizing capacity and spectral efficiency in multiple-input and multiple-output (MIMO) systems. However, traditional WF approaches cater solely ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Historically, multistage flash distillation (MSF) led potable water production. By ...
Water molecules represent a powerful but largely underappreciated foothold in drug binding studies. See how ColdBrew, an algorithm designed by corresponding author Marcus Fischer, PhD (left) and first ...
Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
Department of Biological Sciences, Indian Institute of Science Education and Research Kolkata, Kolkata 741246, India ...
ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...
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