Laser scanning may help prevent urban trees from falling

For the first time, a group of biologists and engineers from the University of São Paulo (USP) in Brazil applied LiDAR (light ...
IEEE

A Hybrid Chaotic Bat Algorithm with Deep Learning Optimization for Multi-Level Image Segmentation

Abstract: This paper examines the applicability of the Bat Algorithm (BA) and its variants as optimization frameworks for various image segmentation paradigms. Rather than introducing a new ...
GitHub

Traffic Light Timing Optimization Using Genetic Algorithms in SUMO

Efficient traffic signal control is crucial for reducing congestion and improving vehicle flow in urban areas. This project implements a Genetic Algorithm (GA) to optimize traffic light timings using ...
C&EN

Modeling of a Novel Approach to Water Recovery from Sugar Cane Vinasse: Optimization of Exergy Efficiency, Heat Exchange Area, and Thermal Performance Ratio Using Genetic ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Historically, multistage flash distillation (MSF) led potable water production. By ...
Brown University

Faster topology optimization: An emerging industrial design technique gets a speed boost

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful. PROVIDENCE, R.I. [Brown University] — With the rise of 3D ...
IEEE

Secure Content-Based Medical Image Retrieval Using Hybrid Optimized Deep Learning and Revised Genetic Rice Optimization Algorithm

Abstract: Presently, medical imaging is critical to medical care, study, and education. Large-scale image banks were established for these objectives through worldwide cooperation. However, up until ...
TechRepublic

The Mean-Value at Risk Static Portfolio Optimization Using Genetic Algorithm

In this paper, the authors solve the problem of static portfolio allocation based on historical Value at Risk (VaR) by using Genetic Algorithm (GA). VaR is a predominantly used measure of risk of ...