Optimization of CART Models Using Metaheuristics for Predicting Peach Firmness DOI Creative Commons
Tomislav Ivanovski, Marko Gulić, Maja Matetić

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(18), P. 8539 - 8539

Published: Sept. 23, 2024

The current advancements in the field of machine learning can have an important application agriculture and global food security. Machine has considerable potential establishing knowledge-based farming systems. One main challenges data-driven is to minimize waste establish more sustainable prediction right harvest time one ways obtain mentioned goals. This paper describes multiple algorithms that are used predict peach firmness. By accurately predicting firmness based on various measurement data, a precise be obtained. evaluation nature-inspired metaheuristic optimization enhancing model accuracy primary objective this paper. possibility improving regression tree models using techniques implemented GA metaheuristicOpt R packages studied. RMSE test data default 1.722285, while optimized gray wolf algorithm scored lowest 1.570924. obtained results show it possible improve by 8.8% described method.

Language: Английский

Conceptual design and optimization of integrating renewable energy sources with hydrogen energy storage capabilities DOI

Qiaorong Zhao,

Ali Basem,

Hayder Oleiwi Shami

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 79, P. 1313 - 1330

Published: July 13, 2024

Language: Английский

Citations

9

Optimizing Nile Tilapia growth and production costs in earthen ponds using multi-objective adaptive artificial intelligence systems DOI Creative Commons
Keartisak Sriprateep, Rapeepan Pitakaso, Surajet Khonjun

et al.

Aquaculture Reports, Journal Year: 2025, Volume and Issue: 41, P. 102716 - 102716

Published: March 3, 2025

Language: Английский

Citations

1

A Multi-Strategy Improvement Secretary Bird Optimization Algorithm for Engineering Optimization Problems DOI Creative Commons

Song Qin,

Junling Liu,

Xiaobo Bai

et al.

Biomimetics, Journal Year: 2024, Volume and Issue: 9(8), P. 478 - 478

Published: Aug. 8, 2024

Based on a meta-heuristic secretary bird optimization algorithm (SBOA), this paper develops multi-strategy improvement (MISBOA) to further enhance the solving accuracy and convergence speed for engineering problems. Firstly, feedback regulation mechanism based incremental PID control is used update whole population according output value. Then, in hunting stage, golden sinusoidal guidance strategy employed success rate of capture. Meanwhile, keep diverse, cooperative camouflage an cosine similarity are introduced into escaping stage. Analyzing results CEC2022 test suite, MISBOA both get best comprehensive performance when dimensions set as 10 20. Especially dimension increased, advantage expanded, which ranks first functions, accounting 83.33% total. It illustrates introduction strategies that effectively searching stability various For five real-world problems, also has fitness values, indicating stronger ability with higher stability. Finally, it solve shape problem combined quartic generalized Ball interpolation (CQGBI) curve, can be designed smoother obtained parameters improve power generation efficiency.

Language: Английский

Citations

4

A local minima escape procedure to improve the convergence of differential evolution DOI
Denis D. Chesalin, Roman Y. Pishchalnikov

Applied Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 112753 - 112753

Published: Jan. 1, 2025

Language: Английский

Citations

0

Embracing Open Innovation in Hospitality Management: Leveraging AI-Driven Dynamic Scheduling Systems for Complex Resource Optimization and Enhanced Guest Satisfaction DOI Creative Commons
Rapeepan Pitakaso, Paulina Golińska-Dawson, Peerawat Luesak

et al.

Journal of Open Innovation Technology Market and Complexity, Journal Year: 2025, Volume and Issue: unknown, P. 100487 - 100487

Published: Jan. 1, 2025

Language: Английский

Citations

0

Differential Evolution Algorithm Based on Partial Reinforcement Learning Intelligence DOI
Yan Fu, Haiming Luo, Z. Z. Zhang

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Enhancing opera vocal education through advanced machine learning algorithms: analytics for talent development and curriculum design DOI
Keyong Wang,

Pinqi Zhang

Interactive Learning Environments, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 21

Published: April 11, 2025

Language: Английский

Citations

0

Emotion-driven music recommendation system based on fully convolutional recurrent attention networks and collaborative filtering DOI
Liang Zhao,

Guangzhan Liu,

Sunting Yan

et al.

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 125, P. 354 - 366

Published: April 18, 2025

Language: Английский

Citations

0

A GAI-based Multi-scale Convolution and Attention Mechanism Model for Music Emotion Recognition and Recommendation from Physiological Data DOI
Xiao Han, Fuyang Chen,

Junrong Ban

et al.

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 164, P. 112034 - 112034

Published: Oct. 1, 2024

Language: Английский

Citations

3

The Emerging Role of Cell Membrane-coated Nanomaterials in Cancer Therapy DOI
Sankha Bhattacharya, Paul Beninger

Current Pharmaceutical Design, Journal Year: 2024, Volume and Issue: 30(10), P. 727 - 741

Published: March 1, 2024

Abstract: This review investigates the revolutionary application of cell membrane-coated nanoparticles (CMNPs) as a promising avenue for cancer therapy within embryonic landscape nanotechnology. Nanoparticles, pivotal in treatment, are systematically examined their diverse physicochemical structures, categorized organic (lipid-based, protein-based, and polymer-assisted) inorganic (carbon-based metal) varieties. A significant focus is placed on CMNPs, which serve an innovative drug delivery vehicle, overcoming limitations associated with conventional nanoparticle therapies. manuscript accurately explores advantages challenges various membranes, including those derived from cells, red blood platelets, stem white cells. Importance roles enhancing precision, immune system circumvention, targeted recognition. Detailed insights into crafting CMNPs provided, elucidating membrane extraction fusion techniques, such sonication, extrusion, co-extrusion, microfluidic electroporation. Maintaining integrity during benefits coating techniques augmenting biocompatibility underscored. comprehensive resource consolidates latest advancements delivery, positioning itself at forefront nanotechnology biomedicine research. Encapsulating methodologies like electrospray, chemical conjugation, this showcases expanding toolbox available to researchers dynamic field. Focusing unique characteristics multifaceted applications biomedical research, particularly tumour therapy. It provides indepth analysis stability, evasion capabilities, increased payload capacity, retained biological functionality. The outlines current future prospects chemotherapy, photothermal photodynamic therapy, immunotherapy, gene therapeutic methods. concludes by highlighting transformative potential reshaping treatment.

Language: Английский

Citations

2