Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
CoRA: A Constrained Random Algorithm for Efficient Directional Neighbor Discovery in Ad Hoc Networks
Abstract: In millimeter-wave ad hoc networks, the challenges of directional neighbor discovery (ND), combined with the emerging integration of reinforcement learning (RL), necessitate algorithms that ...
Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...
The percentages of losses in water supply systems are alarming. Hydraulic modeling and simulation are widely used resources for evaluating network behavior and identifying better operating conditions ...
Facebook's vice president of product, Jagjit Chawla, talks about how the platform treats AI-generated content and how you can see less of it. Katelyn is a writer with CNET covering artificial ...
Abstract: Rapidly-exploring random tree star (RRT*) has attracted intensive attention in track planning due to its asymptotic optimal properties. However, the RRT* algorithm plans costly trajectory ...
Mark is a seasoned tech journalist covering esports, igaming, GambleFi, Web3, and topics at the intersection of blockchain and gambling. His work has appeared in… Randomness is the gambler’s greatest ...
ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...
One July afternoon in 2024, Ryan Williams set out to prove himself wrong. Two months had passed since he’d hit upon a startling discovery about the relationship between time and memory in computing.
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