Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that ...

Thanks to the alternating single-double nature of the bonds, electrons in these orbitals end up delocalized; the differences between the bonds become a bit irrelevant, and the molecule is best viewed ...

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: 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 ...

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 ...

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 ...

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 ...

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

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 ...

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 ...

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 ...