Expert Systems with Applications, Год журнала: 2023, Номер 235, С. 121218 - 121218
Опубликована: Авг. 19, 2023
Язык: Английский
Reviews of Geophysics, Год журнала: 2024, Номер 62(1)
Опубликована: Фев. 11, 2024
Abstract Lake thermal dynamics have been considerably impacted by climate change, with potential adverse effects on aquatic ecosystems. To better understand the impacts of future change lake and related processes, use mathematical models is essential. In this study, we provide a comprehensive review water temperature modeling. We begin discussing physical concepts that regulate in lakes, which serve as primer for description process‐based models. then an overview different sources observational data, including situ monitoring satellite Earth observations, used field classify various available, discuss model performance, commonly performance metrics optimization methods. Finally, analyze emerging modeling approaches, forecasting, digital twins, combining deep learning, evaluating structural differences through ensemble modeling, adapted management, coupling This aimed at diverse group professionals working fields limnology hydrology, ecologists, biologists, physicists, engineers, remote sensing researchers from private public sectors who are interested understanding its applications.
Язык: Английский
Процитировано
43
The Journal of Supercomputing, Год журнала: 2024, Номер 80(9), С. 12346 - 12407
Опубликована: Фев. 12, 2024
Язык: Английский
Процитировано
19
Neurocomputing, Год журнала: 2024, Номер 581, С. 127491 - 127491
Опубликована: Март 7, 2024
Язык: Английский
Процитировано
18
Artificial Intelligence Review, Год журнала: 2025, Номер 58(3)
Опубликована: Янв. 6, 2025
Spotted Hyena Optimizer (SHO) is a population-based metaheuristic algorithm inspired by the spotted hyenas' social behavior, and it has been developed to solve global optimization problems. SHO shown superior performance over its competitive algorithms in solving benchmark function engineering design However, suffers from getting stuck local optima due lack of exploration while multi-modal This article proposes an improved SHO, quantum (QSHO), computing. The QSHO implements computing mechanism promote ability. novel method tested on well-known IEEE CEC2013 CEC2017 suits with 30 50 dimensions four real-world results are compared that Classical (ISHO), Modified (MSHO), Oppositional mutation operator (OBL-MO-SHO), space transformation search (STS-SHO), Quantum Salp Swarm Algorithm (QSSA), Chimp Optimization (ChOA). analyzed using Wilcoxon Signed Rank Test (WSRT) Friedman Test. empirical show statistically outperforms other for problem dimensions. According statistics, ranked first second 30D 50D, respectively, whereas both 50D. In addition, we have assessed problems, algorithms.
Язык: Английский
Процитировано
2
Biomimetics, Год журнала: 2023, Номер 8(3), С. 278 - 278
Опубликована: Июнь 28, 2023
The application of artificial intelligence in everyday life is becoming all-pervasive and unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired algorithms for multiparameter optimization, which find their use large number areas. Novel methods advances are being published at an accelerated pace. Because that, spite the fact there lot surveys reviews they quickly become dated. Thus, it importance keep pace with current developments. In this review, we first consider possible classification bio-inspired optimization because papers dedicated area relatively scarce often contradictory. We proceed by describing some detail more prominent approaches, as well those most recently published. Finally, biomimetic two related wide fields, namely microelectronics (including circuit design optimization) nanophotonics inverse structures such photonic crystals, nanoplasmonic configurations metamaterials). attempted broad survey self-contained so can be not only scholars but also all interested latest developments attractive area.
Язык: Английский
Процитировано
38
Swarm and Evolutionary Computation, Год журнала: 2023, Номер 80, С. 101336 - 101336
Опубликована: Май 17, 2023
Язык: Английский
Процитировано
22
Computers & Electrical Engineering, Год журнала: 2024, Номер 120, С. 109780 - 109780
Опубликована: Окт. 18, 2024
Язык: Английский
Процитировано
15
IEEE Access, Год журнала: 2024, Номер 12, С. 4925 - 4937
Опубликована: Янв. 1, 2024
Unmanned aerial vehicles (UAVs) are increasingly being deployed in crucial missions for the armed forces, law enforcement, industrial control monitoring, and other sectors. However, these hostile operating circumstances, along with UAVs' dependence on wireless protocols, pose substantial security threats, limiting their mainstream application. With network such a major issue UAV networks, machine learning-based intrusion detection system (IDS) has been determined to be an effective strategy protecting them. Additionally, though existing methods offer strategies detecting categorizing abnormalities system, they limited by inability adjust various attack patterns. The dataset used as well memory computational requirement of models, poses new challenges. One main concerns pertains reduced demands models. So, work carried out this paper addresses challenge. A dimensional reduction technique based correlation coefficient, information gain, principal component analysis (PCA) is introduced reduce dimensionality Attack Dataset. novel artificial neural (ANN) genetic algorithm (GA) then proposed. generate optimal weights network. comparison made between proposed model backpropagation its variant terms convergence prediction accuracy. Furthermore, performance compared that classifiers. This reveals time efficient increased accuracy at least 6% more than
Язык: Английский
Процитировано
12
Computers & Electrical Engineering, Год журнала: 2024, Номер 116, С. 109182 - 109182
Опубликована: Март 16, 2024
Язык: Английский
Процитировано
11
Modeling Earth Systems and Environment, Год журнала: 2024, Номер 10(3), С. 4415 - 4428
Опубликована: Май 9, 2024
Язык: Английский
Процитировано
10