Cooperative multi-task assignment of unmanned autonomous helicopters based on hybrid enhanced learning ABC algorithm

Z Han, M Chen, S Shao, H Zhu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Aiming at the problem of cooperative combat problem for multiple unmanned autonomous
helicopters (UAHs) in complex battlefield environments, a hybrid enhanced artificial bee …

An integrated flexibility optimizer for economic gains of local energy communities—A case study for a University campus

A Tomar, DS Shafiullah, PH Nguyen… - Sustainable Energy, Grids …, 2021 - Elsevier
With a capacity-based network tariff structure, consumers are encouraged to reduce their
connection capacity to avoid higher costs. However, overloading beyond the administrative …

A new hybrid Artificial Intelligence (AI) approach for hydro energy sites selection and integration

FC Jong, MM Ahmed, WK Lau, HAD Lee - Heliyon, 2022 - cell.com
The increase of energy demand in this era leads exploration of new renewable energy sites.
Renewable energy offers multiple benefits; hence it is suitable to be harnessed to meet …

[HTML][HTML] Selective intrafascicular stimulation of myelinated and unmyelinated nerve fibers through a longitudinal electrode: A computational study

X Wang, Y Zhang, T Guo, S Wu, J Zhong… - Computers in Biology …, 2024 - Elsevier
Carbon nanotube (CNT) fiber electrodes have demonstrated exceptional spatial selectivity
and sustained reliability in the context of intrafascicular electrical stimulation, as evidenced …

Maximizing clinical rotation placements for US medical students: exploring an optimization model

GL Beck Dallaghan, X Lin, JK Melvin… - Medical Education …, 2022 - Taylor & Francis
Background For years, US medical schools have relied on community-based, private
clinicians to educate medical students. There has been a steady decline in the number of …

George Bernard Dantzig

JR Birge - 2022 - journals.sagepub.com
George Dantzig introduced the world to the power of optimization, creating trillions of dollars
of value and saving countless years of life across the globe. Linear programs and Dantzig's …

A mixed integer linear programming framework for improving cortical vision prosthesis designs

G Abouelseoud, Y Abouelseoud, A Shoukry… - … Signal Processing and …, 2023 - Elsevier
Although cortical vision prosthesis design has been an active area of research since the
early 70s, progress in performance remains quite limited. This paper aims to develop a …

On the use of time division multiplexing to improve electrical brain stimulation focality

G Abouelseoud, Y Abouelseoud, A Shoukry… - … Signal Processing and …, 2020 - Elsevier
Background and objective Selective electrical stimulation of target brain locations
(stimulation focality) is a difficult problem because it comprises conflicting goals. The …

[PDF][PDF] Simulating and optimizing electrical current flow and neuronal activation in retinal implants

T Esler - 2018 - core.ac.uk
A number of challenges facing electrical stimulation of the retina necessitate more
sophisticated methods of stimulation in order to achieve targeted and meaningful …

[PDF][PDF] A Mixed Integer Linear Programming Approach for Cortical Visual Prostheses Design

GAS Metwally - 1999 - researchgate.net
These seven years have been the most difficult in my life, and until my father's death, I could
have said:“yet the happiest” because so long as we were together, all four of us …