In today’s hyper-connected world, businesses are becoming increasingly vulnerable to cyber threats. With the rising sophistication of cyberattacks, traditional security ...
Pulsar’s risk scoring engine integrates a diverse array of data points, synthesizing user-provided information with ...
Nutshell reports that ethical AI practices in sales build customer trust through transparency, human oversight, and ...
Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...
In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual ...
Objective: To develop an auxiliary diagnostic tool for schizophrenia based on multiple test variables using different machine learning algorithms. Results: Arg, TP, ALP, HDL, UA, and LDL were ...
Abstract: Hybrid loss minimization algorithms in electrical drives combine the benefits of search-based and model-based approaches to deliver fast and robust dynamic responses. This article presents a ...
Abstract: This study tackles the challenge of optimizing light emitting diode (LED) street lighting to enhance energy efficiency without compromising safety and comfort in dynamic urban environments.
Hematoma expansion is a consistent predictor of poor neurological outcome and mortality after spontaneous intracerebral hemorrhage (ICH). An incomplete understanding of its biophysiology has limited ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback