Results 71 to 80 of about 920 (162)

YouTube Viewing and Content Quality in Toddlers

Infancy, Volume 31, Issue 2, March/April 2026.
ABSTRACT YouTube is the most popular video‐sharing platform for young children and is largely characterized by low content quality. This study examined associations between YouTube viewing in toddlers, family demographics, child executive functioning (EF) and YouTube content quality. Participants include 361 largely white/non‐Hispanic (72%) parents and
Madalynn Woods, Maycee McClure, Alexandria Schaller, Heidi M. Weeks, Bolim Suh, Simran Chaudhry, Aimee Tibbitts, Heather Kirkorian, Rachel Barr, Sarah M. Coyne, Jenny Radesky   +10 more
wiley   +1 more source

Estimation of the Ultimate Bearing Capacity of the Rocks via Utilization of the AI-Based Frameworks [PDF]

Advances in Engineering and Intelligence Systems
Precise anticipation of the ultimate bearing capacity (Qu)for rock-socketed piles is an important task in civil engineering, construction, and the design of foundations.
Bianca Damico, Matteo Conti
doaj   +1 more source

Simulation and mobility planning with a slime mold based algorithm

, 2023
This master thesis deals with the question if it is possible to develop a slime mold based algorithm that can be used for mobility planning. Furthermore, it is investigated if and how constraints or obstacles during the simulation can influence the result and how scalable the algorithm is.
openaire   +1 more source

Multi-Strategy-Improvement-Based Slime Mould Algorithm

Applied Sciences
In addressing the challenges posed by the sluggish convergence rate, suboptimal stability, and susceptibility to local optimization in function optimization problems, a multi-strategy-based enhanced slime mold optimization algorithm (MSSMA) has been ...
Donghai Huang, Tianbing Tang, Yi Yan
doaj   +1 more source

Hybrid Machine Learning Model for Predicting Shear Strength of Rock Joints

Applied Sciences
The accurate prediction of joint shear strength is crucial for rock mass engineering design and geological hazard assessment. However, traditional machine learning (ML) models often suffer from local optima and limited generalization ability when dealing
Daxing Lei, Yaoping Zhang, Zhigang Lu, Hang Lin, Yifan Chen   +4 more
doaj   +1 more source

Point and interval prediction of crude oil futures prices based on chaos theory and multiobjective slime mold algorithm. [PDF]

Ann Oper Res, 2022
Sun W, Chen H, Liu F, Wang Y.
europepmc   +1 more source

An effective solution to numerical and multi-disciplinary design optimization problems using chaotic slime mold algorithm. [PDF]

Eng Comput, 2022
Dhawale D, Kamboj VK, Anand P.
europepmc   +1 more source

A Hybrid Method Using Slime Mold Algorithm and Genetic Algorithm for Feature Selection Problems in Intrusion Detection Systems

Engineering Reports
This paper presents an innovative hybrid approach for intrusion detection system (IDS) proposed by integrating the slime mold algorithm (SMA) and genetic algorithm (GA) within a feature selection (FS) framework for classification tasks.
Soodeh Hosseini, Mahdieh Khorashadizade, Morteza Jouyban   +2 more
doaj   +1 more source

Slime Mold Algorithm Approach for Load Flow Analysis and Optimization in Power Systems

Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji
Electric energy is one of the most commonly used energy sources today. Therefore, how energy can be produced, transmitted, and consumed at the lowest cost is among the main topics that researchers are intensely working on. The limited nature of current energy sources and the rapidly increasing demand for energy necessitate scientific and technological ...
Oğuz Taşdemir, Salih Ermiş, Abdülkadir Özdoğan   +2 more
openaire   +1 more source

An optimized method for AUV trajectory model in benthonic hydrothermal area based on improved slime mold algorithm

Brodogradnja
The optimization of the desired autonomous underwater vehicle (AUV) trajectory modeling and AUV trajectory tracking control in the benthonic hydrothermal area were studied.
Chunmeng Jiang, Yiming Tang, Jianguo Wang, Wenchao Zhang, Min Zhou, Jiaying Niu, Lei Wan, Guofang Chen, Gongxing Wu, Xide Cheng   +9 more
doaj   +1 more source