In this Huberman Lab Essentials episode, my guest is Jeff Cavaliere (‪@athleanx‬), MSPT, CSCS, a physical therapist, strength coach and the founder of ATHLEAN-X, an online training platform. We ...

Abstract: This paper presents the modeling and computer simulation of a control system for a shell and tube heat exchanger, using Bat Algorithms, Particle Swarm Optimization, Flower Pollination ...

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 ...

A quantum computer can solve optimization problems faster than classical supercomputers, a process known as “quantum advantage” and demonstrated by a USC researcher in a paper recently published in ...

In the age of AI, it's easy to get swept up in the convenience, efficiency, and sheer power of technology. However, there's something unique that artificial intelligence (AI) can never replicate: the ...

Abstract: Due to the characteristics, including surface properties, mechanical strength, tunable hydrophilicity, and others, Carboxymethyl cellulose or CMC is widely used in various advanced ...

Numerical optimization plays a vital role in the design of complex engineered systems. Real world engineered systems are seldom designed based on a single objective; rather they involve multiple ...

ABSTRACT: In this study, a blockchain based federated learning system using an enhanced weighted mean vector optimization algorithm, known as EINFO, is proposed. The proposed EINFO addresses the ...

Biological small-angle neutron scattering (SANS) instruments facilitate critical analysis of the structure and dynamics of complex biological systems. However, with the growth of experimental demands ...

In recent years, researchers have been confronted with an overwhelming influx of data, resulting from novel technologies utilized for sequencing data and acquiring three-dimensional structures of ...