Results 31 to 40 of about 9,216 (200)
Identification of Parameters in Photovoltaic Models through a Runge Kutta Optimizer
Recently, the resources of renewable energy have been in intensive use due to their environmental and technical merits. The identification of unknown parameters in photovoltaic (PV) models is one of the main issues in simulation and modeling of renewable
Hassan Shaban +8 more
doaj +1 more source
POWERPLAY: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem [PDF]
Most of computer science focuses on automatically solving given computational problems. I focus on automatically inventing or discovering problems in a way inspired by the playful behavior of animals and humans, to train a more and more general problem ...
Schmidhuber, Jürgen
core +4 more sources
In this study, a new meta-heuristic optimization method inspired by the behavioral choices of animals and hunger-driven activities, called hunger games search (HGS), is suggested to solve and formulate the single- and multi-objective optimal power flow ...
Murtadha Al-Kaabi +2 more
doaj +1 more source
A biologically inspired architecture for an autonomous and social robot [PDF]
Lately, lots of effort has been put into the construction of robots able to live among humans. This fact has favored the development of personal or social robots, which are expected to behave in a natural way.
Barber Castaño, Ramón Ignacio +3 more
core +3 more sources
This paper presents a groundbreaking approach to enhance the performance of a vehicle cruise control system—a crucial aspect of road safety. The work offers two key contributions.
Serdar Ekinci +5 more
doaj +1 more source
The reliability of the photovoltaic models is strongly reliant on their parameters, which are primarily determined by the optimization algorithm and the objective function. As a result, obtaining the parameters under different environmental conditions is
Manoharan Premkumar +6 more
doaj +1 more source
Prediction Model of Borehole Spontaneous Combustion Based on Machine Learning and Its Application
In order to quickly and accurately predict borehole spontaneous combustion danger and avoid borehole spontaneous combustion fires, a borehole spontaneous combustion prediction model combining the Hunger Games search optimization algorithm (HGS) and ...
Yun Qi +4 more
doaj +1 more source
Roads can be significant traffic lifelines that can be damaged by collapsed tree branches, landslide rubble, and buildings debris. Thus, road damage detection and evaluation by utilizing High-Resolution Remote Sensing Images (RSI) are highly important to
Mesfer Al Duhayyim +7 more
doaj +1 more source
Modeling of manufacturing processes using artificial intelligence-based techniques has recently received considerable attention. The current investigation introduces a new artificial intelligence-based predictive model for friction stir welding of ...
Waheed Sami AbuShanab +4 more
doaj +1 more source
Basalt Fiber Asphalt Concrete (BFAC) is an environmentally friendly and durable material with potential road, bridge, and infrastructure construction applications.
Ba Nhan Phung +4 more
doaj +1 more source

