Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...
Christmas has come and gone, but most of us luckily still have this weekend to recover before heading back to work on Monday. If you want to keep the holiday spirit rolling, Netflix is jam-packed with ...
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 ...
Abstract: Multiple power peaks are introduced under nonuniform irradiation conditions in photovoltaic (PV) systems. However, conventional maximum power point tracking (MPPT) algorithms, such as the ...
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: To enhance the multi-target path planning and tracking performance of Unmanned Surface Vehicles (USVs), a combined control strategy integrating the Serret-Frenet Line-of-Sight (SFLOS) ...
In this work, we propose a novel, fast, and memory-efficient unsupervised statistical method, combined with an unsupervised deep learning (DL) model, for de-snowing 3D LiDAR point clouds in a fully ...
BEIJING, Dec 20 (Reuters) – The content recommendation algorithm that powers the online short video platform TikTok has once again come under the spotlight after the app’s Chinese owner ByteDance ...
Abstract: In this paper we propose a weighted-path-following interior-point algorithm to monotone mixed linear complementarity problem. The algorithm is based on a new technique for finding a class of ...
Abstract: In this paper, we develop an online optimization algorithm for solving a class of nonconvex optimization problems with a linearly varying optimal point. The global convergence of the ...
Abstract: LiDAR point cloud data is essential in autonomous driving, robotic navigation, and 3D modeling. However, noise caused by sensor errors and environmental factors degrades data quality and ...
Abstract: We describe the design, implementation, and evaluation of a dual-issue SIMD-like extension of the PowerPC 440 floating-point unit (FPU) core. This extended FPU is targeted at both IBM's ...