Abstract: Network-wide clock synchronization and localization are two critical requirements in wireless sensor network (WSN) applications. In this paper, the problem of joint clock synchronization and ...
As e-commerce platforms generate ever-longer streams of user-behavior data, machine-learning methods are increasingly examined for their ability to model how customer interests form and shift over ...
Euclid has uncovered 31 ancient quasars, including two record-breakers that push deeper into cosmic history and illuminate ...
Abstract: Point cloud segmentation is a crucial technique for object recognition and localization, widely employed in various applications such as point cloud registration, 3D reconstruction, object ...
How algorithms simplify problem-solving while creating challenges in software development, with insights into their benefits, limitations, and widespread use across industries and everyday digital ...
Sorting and searching algorithms help computer systems organize data and find information quickly. Methods like Quick Sort and Binary Search improve speed, while new AI research continues to make data ...
ABSTRACT: Two Mehrotra-type predictor-corrector interior point algorithms are proposed for solving symmetric cone optimization (SCO) problems, using the Euclidean Jordan algebra. The algorithms ...
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