IEEE

A Real-Time Deterministic Peak Hopping Maximum Power Point Tracking Algorithm for Complex Partial Shading Condition

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 ...
IEEE

NRACP: The Point Cloud Normal Re-estimation Algorithm Based on Adaptive Consistency Propagation for Cultural Artworks

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 ...
IEEE

Development of Learning Automaton based Maximum Power Point Tracking Algorithm for Solar PV System

Abstract: The main objective of this paper is to introduce the concept of Learning Automata (LA) algorithm and its adaptability for the development of Maximum Power Point Tracking (MPPT) controller ...
IEEE

Optimal Fuzzy logic controller based Genetic Algorithm for control maximum power point tracking for Boost Converter

Abstract: This paper presents a study on Maximum Power Point Tracking (MPPT) employing a DC-DC boost converter in MATLAB. The approach utilizes a genetic algorithm to determine optimal values for the ...
IEEE

RVH-Cover: A Resultant-Vector and Heap-Based WSN Coverage Optimization Algorithm

Abstract: As the cornerstone of the Internet of Things, the deployment of wireless sensor networks remains a challenging problem, as it is difficult to balance coverage quality and computational ...
Yahoo Finance

Franco-Nevada Announces $250 Million Royalty Financing with i-80 Gold

TORONTO, Feb. 12, 2026 /CNW/ - Franco-Nevada Corporation ("Franco-Nevada" or the "Company") (TSX: FNV)(NYSE: FNV) is pleased to announce that, through a wholly-owned U.S. subsidiary, it has entered ...
IEEE

Adaptive Robust Low-Beam Feature Point Detection Algorithm Based on Convex Hull

Abstract: The existing algorithms for detecting low-beam feature points are neither universally applicable nor effective. Additionally, such algorithms typically involve numerous parameters, making ...
IEEE

A Tutorial on a Lyapunov-Based Approach to the Analysis of Iterative Optimization Algorithms

Abstract: Iterative gradient-based optimization algorithms are widely used to solve difficult or large-scale optimization problems. There are many algorithms to choose from, such as gradient descent ...
IEEE

AUV Path Planning and Object Tracking Algorithm Based on Reinforcement Learning Under Point Cloud Observation

Abstract: Autonomous underwater vehicles (AUV) play an important role in the process of human exploration of the ocean. However, the existing AUV control methods are faced with the problem of ...
IEEE

Sorting Through ML Algorithms: A Call for Community Contributions

Abstract: Recent algorithmic advances and the increasing availability of domain data have led to the proliferation of ML (Machine Learning) solutions in a variety of application domains. Domain ...
IEEE

A Modified Fixed-Point Iteration Algorithm for Magnetic Field Computation With Hysteresis Models

Abstract: The fixed-point iteration method is widely used in electromagnetic field analysis involving hysteresis property due to its strong robustness, but it has the problem of low computational ...