Proactive monitoring tools, such as a third-party hotline platform and data analytics, coupled with employee engagement and a ...
Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...
Authorities are searching for a group of suspects after police say they walked away with $175,000 in cash from a Virginia ATM in a rising crime trend nicknamed "jackpotting." Jackpotting is defined as ...
1 Department of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi Arabia 2 InnoV'COM Laboratory-Sup'Com, University of Carthage, Ariana, Tunisia ...
AI and ML are transforming forensic applications with e-nose systems, offering rapid, cost-effective analysis for volatile organic compounds. A 32-element MOS sensor array enhances e-nose forensic ...
ComplyAdvantage has emerged as a definitive leader in regulatory technology, fundamentally transforming how financial institutions combat money laundering, sanctions violations and fraud. Founded in ...
Abstract: Forensic Fusion is an automated crime scene analysis system with an advanced machine learning algorithm that thoroughly examines visual evidence to accurately identify and classify crucial ...
Background: Early detection of elevated acute stress is necessary if we aim to reduce consequences associated with prolonged or recurrent stress exposure. Stress monitoring may be supported by valid ...
Fannie Mae announced a big step in bolstering its mortgage antifraud efforts: the GSE has launched a new Crime Detection Unit that'll be powered by software from government AI technology firm Palantir ...
Fannie Mae has announced a partnership with artificial intelligence (AI) platform Palantir to launch a Crime Detection Unit in an effort to enhance the GSE’s fraud detection capabilities. The ...