FUZ-SMO: A fuzzy slime mould optimizer for mitigating false alarm rates in the classification of underwater datasets using deep convolutional neural networks DOI Creative Commons
Dong Zhang, Zhiyong Jiang, F. Mohammadzadeh

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(7), P. e28681 - e28681

Published: March 28, 2024

Sonar sound datasets are of significant importance in the domains underwater surveillance and marine research as they enable experts to discern intricate patterns within depths water. Nevertheless, task classifying sonar continues pose challenges. In this study, we present a novel approach aimed at enhancing precision efficacy dataset classification. The integration deep long-short-term memory (DLSTM) convolutional neural networks (CNNs) models is employed order capitalize on their respective advantages while also utilizing distinctive feature engineering techniques achieve most favorable outcomes. Although DLSTM have demonstrated effectiveness tasks involving sequence classification, attaining optimal performance necessitates careful adjustment hyperparameters. While traditional methods such grid random search effective, frequently encounter challenges related computational inefficiencies. This study aims investigate unexplored capabilities fuzzy slime mould optimizer (FUZ-SMO) context LSTM hyperparameter tuning, with objective addressing existing gap area. Drawing inspiration from adaptive behavior exhibited by moulds, FUZ-SMO proposes optimization. amalgamated model, which combines CNN, LSTM, fuzzy, SMO, exhibits notable improvement classification accuracy, outperforming conventional architectures margin 2.142%. model not only demonstrates accelerated convergence milestones but displays resilience against overfitting tendencies.

Language: Английский

Analytical optical solutions to the nonlinear Zakharov system via logarithmic transformation DOI Creative Commons
Chaoyang Zhu,

Mawaheb Al‐Dossari,

Shahram Rezapour

et al.

Results in Physics, Journal Year: 2023, Volume and Issue: 56, P. 107298 - 107298

Published: Dec. 27, 2023

In the past few years, there has been a growing interest in investigating search for solitary wave solutions realm of nonlinear partial differential equations. This endeavor represents captivating and challenging area research. The primary objective this study is to investigate Zakharov system through comprehensive analysis that integrates logarithmic transformations symbolic structures exponential functions. holds remarkable importance as fundamental cornerstone field plasma physics, derived from profound intellect esteemed mathematicians physicists. By examining diverse range solution forms including trigonometric, hyperbolic, rational expressions, research delves into complexities behavior. Notably, introduction arbitrarily selected constants imbues these with multifaceted dynamic nature. support findings, article presents several numerical simulations align solutions. utilized methods stand out being simple, reliable, capableof creating fresh equations mathematical physics. Other significance lies its innovative methodologies previously unexplored particular model, thereby broadening scientific toolkit. Moreover, versatility techniques offers potential seamless adaptation addressing various other

Language: Английский

Citations

60
Decoupled anisotropic Buchdahl’s relativistic models in f( R,T ) theory DOI
Tayyab Naseer, M. Sharif

Physica Scripta, Journal Year: 2024, Volume and Issue: 99(3), P. 035001 - 035001

Published: Jan. 8, 2024

Abstract This paper constructs three different anisotropic extensions of the existing isotropic solution to modified field equations through gravitational decoupling in f ( R , mathvariant="double-struck">T stretchy="false">) theory. For this, we take a static sphere that is initially filled with fluid and then add new source producing anisotropy system. The now correspond total matter configuration. We transform radial metric component split these into two sets characterizing their parent sources. unknowns comprising first set are determined by considering Buchdahl solution. On other hand, employ constraints related additional make second system solvable. Further, constant triplet calculated means matching criteria between interior exterior geometries at spherical boundary. mass radius compact star LMC X-4 used analyze physical relevancy developed models. conclude our resulting models II III well-agreement acceptability conditions for considered values parameters.

Language: Английский

Citations

16
Iterative solution of the fractional Wu-Zhang equation under Caputo derivative operator DOI Creative Commons
Humaira Yasmin, A. A. Alderremy, Rasool Shah

et al.

Frontiers in Physics, Journal Year: 2024, Volume and Issue: 12

Published: Feb. 21, 2024

In this study, we employ the effective iterative method to address fractional Wu-Zhang Equation within framework of Caputo Derivative. The offers a practical approach obtaining approximate solutions for differential equations. We seek provide insights into its solution and behavior by applying Equation. Through numerical analysis presentation relevant tables Figures, demonstrate accuracy efficiency in solving This research contributes understanding fractional-order equations their applications various scientific engineering domains.

Language: Английский

Citations

12
Fractional-order view analysis of Fisher’s and foam drainage equations within Aboodh transform DOI
Azzh Saad Alshehry, Humaira Yasmin, Rasool Shah

et al.

Engineering Computations, Journal Year: 2024, Volume and Issue: 41(3), P. 489 - 515

Published: April 10, 2024

Purpose The purpose of this study is to solve two unique but difficult partial differential equations: the foam drainage equation and nonlinear time-fractional fisher’s equation. Through our methods, we aim provide accurate solutions gain a deeper understanding intricate behaviors exhibited by these systems. Design/methodology/approach In study, use dual technique that combines Aboodh residual power series method transform iteration method, both which are combined with Caputo operator. Findings We develop exact efficient merging methodologies. Our results, presented through illustrative figures data, demonstrate efficacy versatility methods in tackling such complex mathematical models. Originality/value Owing their fractional derivatives behavior, equations crucial modeling processes confront analytical complications various scientific engineering contexts.

Language: Английский

Citations

9
A novel smartphone application for early detection of habanero disease DOI Creative Commons

Ronke Seyi Babatunde,

Akinbowale Nathaniel Babatunde, Roseline Oluwaseun Ogundokun

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Jan. 16, 2024

Abstract Habanero plant diseases can significantly reduce crop yield and quality, making early detection treatment crucial for farmers. In this study, we discuss the creation of a modified VGG16 (MVGG16) Deep Transfer Learning (DTL) model-based smartphone app identifying habanero diseases. With help application, growers quickly diagnose health by taking photo one its leaves. We trained DTL model on dataset labelled images healthy infected plants evaluated performance separate test dataset. The MVGG16 algorithm had an accuracy, precision, f1-score, recall AUC 98.79%, 97.93%, 98.44%, 98.95 98.63%, respectively, testing was then integrated into that enables users to upload photographs, get diagnosed, explore history earlier diagnoses. tested software collection photos leaves discovered it highly accurate at spotting plants. boost identification diseases, resulting in higher output higher-quality harvests.

Language: Английский

Citations

7
An efficient semi-analytical techniques for the fractional-order system of Drinfeld-Sokolov-Wilson equation DOI Creative Commons

Abdul Hamid Ganie,

Humaira Yasmin, A. A. Alderremy

et al.

Physica Scripta, Journal Year: 2024, Volume and Issue: 99(1), P. 015253 - 015253

Published: Jan. 1, 2024

Abstract This study delves into the exploration and analysis of fractional order Drinfeld-Sokolov-Wilson (FDSW) system within framework Caputo operator. To address this complex system, two innovative methods, namely Aboodh transform iteration method (ATIM) residual power series (ARPSM), are introduced applied. These methods offer efficient computational tools to investigate FDSW particularly in context utilizing The ATIM ARPSM employed solve analyze allowing for derivation solutions insights system’s behavior dynamics. utilization these novel showcases their efficacy handling intricate characteristics under differentiation, offering a deeper understanding its mathematical properties behaviors.

Language: Английский

Citations

6
Rational approximations of the Arrhenius and general temperature integrals, expansion of the incomplete gamma function DOI
Alireza Aghili, Vahid Arabli, Amir Hossein Shabani

et al.

Chemical Engineering Communications, Journal Year: 2024, Volume and Issue: 211(6), P. 844 - 858

Published: Jan. 4, 2024

When analyzing materials non-isothermally using the Arrhenius equation under linear heating, a temperature integration is necessary. While frequency factor in this typically assumed to be constant, it can actually vary with for certain solid-state reactions. The resulting integral, known as or general integrals, usually have no analytical solutions. Therefore, special functions and approximation are often used estimate them. In particular study, new rational approximations integrals were derived through expansion of incomplete gamma function. Two sets these approximations, which exhibit excellent accuracy, presented. One set integral matches widely Senum Yang's while other set, offers even greater has not been previously reported. An obtained utilized simulate thermal degradation commercially available PMMA, illustrating practical application example.

Language: Английский

Citations

6
A novel deep learning approach to enhance creditworthiness evaluation and ethical lending practices in the economy DOI
Xiaoyan Qian, Huifen Cai, Nisreen Innab

et al.

Annals of Operations Research, Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 20, 2024

Language: Английский

Citations

5
Energy-Efficient High-Speed dynamic logic-based One-Trit multiplier in CNTFET technology DOI
Shams Ul Haq, Erfan Abbasian,

Vijay Kumar Sharma

et al.

AEU - International Journal of Electronics and Communications, Journal Year: 2023, Volume and Issue: 175, P. 155088 - 155088

Published: Dec. 22, 2023

Language: Английский

Citations

12
T-spherical fuzzy interactive Dubois–Prade information aggregation approach for evaluating low-carbon technology impact and environmental mitigation DOI Creative Commons
Toqeer Jameel, Muhammad Riaz, Naveed Yaqoob

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(7), P. e28963 - e28963

Published: April 1, 2024

The concept of T-spherical fuzzy sets (T-SFSs) provides a robust optimization approach to deal with uncertainties in environmental concerns. main objective this paper is introduce hybrid for the power system reforms and advances low-carbon technology address concerns as well transition towards more sustainable energy infrastructure. To meet these objectives, various aggregation operators (AOs) are developed named Dubois-Prade (T-SFDP), interactive weighted average (T-SFIDPWA), ordered (T-SFIDPOWA), geometric (T-SFIDPWG), (T-SFIDPOWG). These AOs integrated construction CRITIC-EDAS framework, facilitating comprehensive assessment ranking proposals. This underscores methodology's efficacy precision through rigorous validation CRITIC-MAUT, CRITIC-ARAS, CRITIC-EDAS, CRITIC-MABAC analyses, showcasing its ability discern prioritize reform initiatives exactitude. Beyond enhancing comprehension proposals, establishes benchmark future evaluations, significantly contributing dynamic landscape optimization. clarity offer decision-makers valuable tool thorough prioritization initiatives, fostering sustainability environmentally conscious advancements.

Language: Английский

Citations

4