A New Algorithm Beats Dijkstra's Time For The Shortest Path To Any Point In A Network

Researchers have combined the Dijkstra and Bellman-Ford algorithms to develop an even faster way to find the shortest paths ...
SciELO

Adaptive Variable Structure Interacting Multiple Model Tracking Algorithm for Hypersonic Glide Vehicle

During the penetration process of hypersonic glide vehicles (HGV), the maneuvering forms are varied, which brings some challenges for tracking them, such as difficulty in the stable matching of single ...
NBC4 Columbus

PUCO rejects bid to overturn AEP’s new rate structures for large data centers

COLUMBUS, Ohio (WCMH) — The Public Utilities Commission of Ohio rejected a bid from Amazon, Google and others to overturn AEP’s new tariff, or rate structure, specifically for data centers. Amazon and ...
FedScoop

Why agencies must look beyond ‘post-quantum crypto’ algorithms to secure their data

While the dawn of quantum computing may still be years away, federal agencies are facing a future threat that has already arrived. Adversaries are actively stealing encrypted government information ...
GitHub

Data Structures and Algorithms Repository

Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions implemented in Python, aimed at mastering ...
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

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 ...
techxplore

Algorithm based on LLMs doubles lossless data compression rates

People store large quantities of data in their electronic devices and transfer some of this data to others, whether for professional or personal reasons. Data compression methods are thus of the ...
IEEE

A Tutorial on Distributed Optimization for Cooperative Robotics: From Setups and Algorithms to Toolboxes and Research Directions

Abstract: Several interesting problems in multirobot systems can be cast in the framework of distributed optimization. Examples include multirobot task allocation, vehicle routing, target protection, ...
ascopubs.org

Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer Care

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study The use of real-world data ...