Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
acm.org

Rediscovering Reinforcement Learning

Reinforcement learning (RL) is machine learning (ML) in which the learning system adjusts its behavior to maximize the amount of reward and minimize the amount of punishment it receives over time ...
Scientific Research Publishing

Enhancements in WSN Energy Efficiency Using Machine Learning: A Comparative Analysis and Real-Time Challenges ()

The growing demand for energy-efficient Wireless Sensor Networks (WSNs) in applications such as IoT, environmental monitoring, and smart cities has sparked exhaustive research into practical solutions ...
Scientific Research Publishing

Integrating Machine Learning into Financial Forensics for Smarter Fraud Prevention ()

1 Department of Economics, Texas A&M University, College Station, TX, USA. 2 School of Business, Wake Forest University, Winston-Salem, NC, USA. 3 School of Business, University of Wisconsin-Madison, ...
Forbes

Unsupervised Learning: The Revolution Powering Financial Insights

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. As machine learning continues to reshape the financial ...
List of Banks in Belarus

Supervised Learning in Finance

Supervised learning relies on historical, labeled data to train algorithms for specific outcomes. This approach is widely used in the financial sector, where reliable past data can guide future ...
Digital Journal

Is AI/ML the key to future-proofing modern SRE and platform engineering?

Modern site reliability and platform operations are no longer just about basic monitoring or patching — it’s a complex domain of increasingly sophisticated operational challenges. The rapid expansion ...
techtimes

Leveraging Machine Learning Algorithms to Combat Fraud in Supply Chain Operations

Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...