Abstract: With the outstanding performance of deep learning technology in semantic segmentation, object detection and other aspects, researchers have gradually tried to apply it to the field of ...

This repository contains comprehensive implementations of algorithms from the classic textbook "Fundamentals of Computer Algorithms" (Second Edition) by Ellis Horowitz, Sartaj Sahni, and Sanguthevar ...

Nivedita is lawyer and company secretary by training and holds a masters in public policy from Princeton University’s School of Public and International Affairs. Recently, I was at an event where a ...

Abstract: This paper proposes a new algorithm for choosing a solution in the Pareto Optimal Front of the multi-objective optimization problem of the spectral and energy efficiency trade-off in Massive ...

Shortest path algorithms sit at the heart of modern graph theory and many of the systems that move people, data, and goods around the world. After nearly seventy years of relying on the same classic ...

Abstract: This study develops a novel end-to-end formation strategy for leader-follower formation control of mobile robots that uses onboard LiDAR sensors in non-communication environments. The main ...

Abstract: Parallel computing can provide fast execution of the program as compared to sequential computing. Graphical Processing Unit can be used for parallel computing as it gives the advantage of ...

Abstract: Conventional perturb and observe (P&O) algorithm fails to track global maximum power point (GMPP) under complex partial shading conditions (PSC) in photovoltaic (PV) system. While many of ...

Abstract: Normal estimation is a critical task in point cloud analysis, especially in cultural heritage preservation and digitization. However, due to errors from acquisition devices and environmental ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...