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Oppositional Harris Hawks Optimization with Deep Learning-Based Image captioning

computer Systems Science & Engineering 2023年第1期44卷 579-593页

作者： V.R.kavitha k.Nimala A.Beno k.c.ramya Seifedine kadry Byeong-Gwon kang Yunyoung Nam Department of computer Science and Engineering Prathyusha Engineering CollegeThiruvallur602025India Department of Networking and communications SRM Institute of Science and TechnologyChennaiIndia Department of Electronics and communication Engineering Dr.Sivanthi Aditanar College of EngineeringTiruchendur628215India Department of Electrical and Electronics Engineering Sri Krishna College of Engineering and TechnologyCoimbatore641008India Deparmtent of Applied Data Science Noroff University CollegeKristiansandNorway Department of Information and communication Engineering Soonchunhyang UniversityAsanKorea Department of computer Science and Engineering Soonchunhyang UniversityAsanKorea

Image captioning is an emergent topic of research in the domain of artificial intelligence(AI).It utilizes an integration of computer Vision(cV)and Natural Language Processing(NLP)for generating the image *** use in several application areas namely recommendation in editing applications,utilization in virtual assistance,*** development of NLP and deep learning(DL)modelsfind useful to derive a bridge among the visual details and textual *** this view,this paper introduces an Oppositional Harris Hawks Optimization with Deep Learning based Image captioning(OHHO-DLIc)*** OHHO-DLIc technique involves the design of distinct levels of ***,the feature extraction of the images is carried out by the use of EfficientNet ***,the image captioning is performed by bidirectional long short term memory(BiLSTM)model,comprising encoder as well as *** last,the oppositional Harris Hawks optimization(OHHO)based hyperparameter tuning process is performed for effectively adjusting the hyperparameter of the EfficientNet and BiLSTM *** experimental analysis of the OHHO-DLIc technique is carried out on the Flickr 8k Dataset and a comprehensive comparative analysis highlighted the better performance over the recent approaches.

关键词： Image captioning natural language processing artificial intelligence machine learning deep learning

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Energy Aware Metaheuristic Optimization with Location Aided Routing Protocol for MANET

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computers, Materials & continua 2022年第4期71卷 1567-1580页

作者： E.Ahila Devi k.c.ramya k.Sathesh kumar Sultan Ahmad Seifedine kadry Hyung Ju Park Byeong-Gwon kang Department of Instrumentation and control Engineering St.Joseph’s College of EngineeringChennai600119India Department of Electrical and Electronics Engineering Sri Krishna College of Engineering and TechnologyCoimbatore641008India School of computing Kalasalingam Academy of Research and EducationKrishnankoil626128India Department of computer Science College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharj11942Saudi Arabia Department of Applied Data Science Noroff University CollegeKristiansand4612Norway Department of IcT convergence Soonchunhyang UniversityAsan31538Korea

A mobile ad hoc network(MANET)involves a group of wireless mobile nodes which create an impermanent network with no central authority and *** nodes in the MANET are highly mobile and it results in adequate network topology,link loss,and increase the re-initialization of the route discovery *** planning in MANET is a multi-hop communication process due to the restricted transmission range of the *** aided routing(LAR)is one of the effective routing protocols in MANET which suffers from the issue of high energy *** few research works have focused on resolving energy consumption problem in LAR,energy efficiency still remains a major design *** this aspect,this study introduces an energy aware metaheuristic optimization with LAR(EAMO-LAR)protocol for *** EAMO-LAR protocol makes use of manta ray foraging optimization algorithm(MRFO)to help the searching process for the individual solution to be passed to the LAR *** fitness value of the created solutions is determined next to pass the solutions to the objective *** MRFO algorithm is incorporated into the LAR protocol in the EAMO-LAR protocol to reduce the desired energy *** ensure the improved routing efficiency of the proposed EAMO-LAR protocol,a series of simulations take *** resultant experimental values pointed out the supreme outcome of the EAMO-LAR protocol over the recently compared *** resultant values demonstrated that the EAMO-LAR protocol has accomplished effectual results over the other existing techniques.

关键词： MANET routing lar protocol energy efficiency mrfo algorithm metaheuristics

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An Automated Deep Learning Based Muscular Dystrophy Detection and classification Model

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computers, Materials & continua 2022年第4期71卷 305-320页

作者： T.Gopalakrishnan Periakaruppan Sudhakaran k.c.ramya k.Sathesh kumar Fahd N.Al-Wesabi Manal Abdullah Alohali Anwer Mustafa Hilal School of computer Science and Engineering Vellore Institute of TechnologyVellore632014India Department of computer Science and Engineering SRM TRP Engineering CollegeTiruchirappalli621105India Department of Electrical and Electronics Engineering Sri Krishna College of Engineering and TechnologyCoimbatore641008India School of computing Kalasalingam Academy of Research and EducationKrishnankoil626128India Department of computer Science King Khalid UniversityMuhayel AseerKSA Faculty of computer and IT Sana’a UniversityYemen Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversitySaudi Arabia Department of computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlkharjSaudi Arabia

Muscular Dystrophy (MD) is a group of inherited muscular diseases that are commonly diagnosed with the help of techniques such asmuscle biopsy, clinical presentation, and Muscle Magnetic Resonance Imaging(MRI). Among these techniques, Muscle MRI recommends the diagnosis ofmuscular dystrophy through identification of the patterns that exist in musclefatty replacement. But the patterns overlap among various diseases whereasthere is a lack of knowledge prevalent with regards to disease-specific ***, artificial intelligence techniques can be used in the diagnosis ofmuscular dystrophies, which enables us to analyze, learn, and predict forthe future. In this scenario, the current research article presents an automated muscular dystrophy detection and classification model using SynergicDeep Learning (SDL) method with extreme Gradient Boosting (XGBoost),called SDL-XGBoost. SDL-XGBoost model has been proposed to act as anautomated deep learning (DL) model that examines the muscle MRI dataand diagnose muscular dystrophies. SDL-XGBoost model employs kapur’sentropy based Region of Interest (RoI) for detection purposes. Besides, SDLbased feature extraction process is applied to derive a useful set of featurevectors. Finally, XGBoost model is employed as a classification approach todetermine proper class labels for muscle MRI data. The researcher conductedextensive set of simulations to showcase the superior performance of SDLXGBoost model. The obtained experimental values highlighted the supremacyof SDL-XGBoost model over other methods in terms of high accuracy being96.18% and 94.25% classification performance upon DMD and BMD respectively. Therefore, SDL-XGBoost model can help physicians in the diagnosis of muscular dystrophies by identifying the patterns of muscle fatty replacementin muscle MRI.

关键词： Muscle magnetic resonance imaging XGBoost synergic deep learning roI detection kapur’s entropy muscular dystrophies

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Hybrid Prairie Dog and Beluga Whale Optimization Algorithm for Multi-Objective Load Balanced-Task Scheduling in cloud computing Environments

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china communications 2024年第7期21卷 307-324页

作者： k ramya Senthilselvi Ayothi Department of computer Science and Engineering SRM Institute of Science and TechnologyRamapuramChennaiTamil Nadu 600089India

The cloud computing technology is utilized for achieving resource utilization of remotebased virtual computer to facilitate the consumers with rapid and accurate massive data *** utilizes on-demand resource provisioning,but the necessitated constraints of rapid turnaround time,minimal execution cost,high rate of resource utilization and limited makespan transforms the Load Balancing(LB)process-based Task Scheduling(TS)problem into an NP-hard optimization *** this paper,Hybrid Prairie Dog and Beluga Whale Optimization Algorithm(HPDBWOA)is propounded for precise mapping of tasks to virtual machines with the due objective of addressing the dynamic nature of cloud *** capability of HPDBWOA helps in decreasing the SLA violations and Makespan with optimal resource *** is modelled as a scheduling strategy which utilizes the merits of PDOA and BWOA for attaining reactive decisions making with respect to the process of assigning the tasks to virtual resources by considering their priorities into *** addresses the problem of pre-convergence with wellbalanced exploration and exploitation to attain necessitated Quality of Service(QoS)for minimizing the waiting time incurred during TS *** further balanced exploration and exploitation rates for reducing the makespan during the task allocation with complete awareness of VM *** results of the proposed HPDBWOA confirmed minimized energy utilization of 32.18% and reduced cost of 28.94% better than approaches used for *** statistical investigation of the proposed HPDBWOA conducted using ANOVA confirmed its efficacy over the benchmarked systems in terms of throughput,system,and response time.

关键词： Beluga Whale Optimization Algorithm(BWOA) cloud computing Improved Hopcroft-karp algorithm Infrastructure as a Service(IaaS) Prairie Dog Optimization Algorithm(PDOA) Virtual Machine(VM)

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A nerve-like self-healable conductive wire

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National Science Review 2024年第6期11卷 89-90页

作者： Xuemei Fu Benjamin c.k.Tee Department of Materials Science and Engineering National University of Singapore Institute for Health Innovation and Technology National University of Singapore

In wearables and robotics, it is often required to deploy electronic devices at different spatially distributed locations for multi-functionality [1–3]. Thus, conductive wires for efficient interconnection of various electronic devices are ***, in practical applications, the frequent motion of wearers and robots will result in high-strain deformations of these wires, which could cause irreparable damage.

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Fuzzy Multi-criteria Decision Support System for the Best Anti-Aging Treatment Selection Process through Normal Wiggly Hesitant Fuzzy Sets

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computers, Materials & continua 2024年第9期80卷 4947-4972页

作者： Daekook kang ramya Lakshmanaraj Samayan Narayanamoorthy Navaneethakrishnan Suganthi keerthana Devi Samayan kalaiselvan Ranganathan Saraswathy Dragan Pamucar Vladimir Simic Department of Industrial and Management Engineering Institute of Digital Anti-Aging Health CareInje UniversityGimhae-si50834Republic of Korea Department of Mathematics Bharathiar UniversityCoimbatore641046India Department of SocialWork SRMV Collge of Arts and ScienceCoimbatore641020India Department of Radiology Karpagam Medical College and HospitalCoimbatore641032India Department of Operations Research and Statistics Faculty of Organizational SciencesUniversity of BelgradeBelgrade11000Serbia college of Engineering Department of Industrial Engineering and ManagementYuan Ze UniversityTaoyuan City320315Taiwan Department of Mechanics and Mathematics Western Caspian UniversityBakuAZ1001Azerbaijan Faculty of Transport and Traffic Engineering University of BelgradeBelgrade11000Serbia Department of computer Science and Engineering College of InformaticsKorea UniversitySeoul02841Republic of Korea

This socialized environment among educated and developed people causes themto focusmore on their appearance and health,which turns them towards medical-related treatments,leading us to discuss anti-aging treatment methods for each age group,particularly for urban people who are interested in *** anti-aging therapies are used to address the alterations brought on by aging in human life without the need for surgery or negative *** anti-aging therapies such as microdermabrasion or dermabrasion,laser resurfacing anti-aging skin treatments,chemical peels,dermal fillers for aged skin,and botox injections are considered in this *** on the criteria of safety risk,investment cost,customer happiness,and side effects,the optimal alternative is *** a result,a NormalWiggly Hesitant Pythagorean Fuzzy Set(NWHPFS)is constructed and used in Multi-criteria Decision-Making(McDM)using traditional wavy mathematical *** entropy approach is utilized to determine weight values,and the Normal Wiggly Hesitant Pythagorean-Vlsekriterijumska Optimizacija I kompromisno Resenje(NWHPF-VIkOR)method is utilized to rank alternatives using McDM *** analysis and comparative analysis were performed to ensure the robustness and reliability of the proposed *** smart final choice will undoubtedly assist Decision Makers(DM)in making the right judgments,and the McDM approach will undoubtedly assist individuals in understanding the medicine.

关键词： Normal wiggly hesitant pythagorean fuzzy set hesitant pythagorean fuzzy set anti-aging treatment entropy VIse kriterijumska Optimizacija I kompromisno Resenje

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Preparedness,knowledge,and perception of nursing students about climate change and its impact on human health in India

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Regional Sustainability 2024年第1期5卷 107-118页

作者： ramya kundayi RAVI Priya BABY Nidhin ELIAS Jisa George THOMAS kathyayani Bidadi VEERABHADRAIAH Bharat PAREEk college of Nursing Medical and Health Sciences UniversityRas Al Khaimah11172United Arab Emirates college of Nursing National Institute of Mental Health and Neuro sciencesBangalore560011India college of Nursing Amrita Institute of Medical SciencesKochi682041India college of Nursing All India Institute of Medical SciencesBhopal462020India Saraswati Professional and Higher Education college of Nursing Mohali140413India

Higher education plays an important role in all aspects of *** climate change and sustainability into the curriculum is important to prepare future health-care professionals for climate change and sustainability actions to build resilient health *** this study,we evaluated the preparedness,knowledge,and perception regarding climate change and its impact on human health among Indian nursing students.A quantitative descriptive survey was conducted among 644 undergraduate nursing students studying in three institutes in the southern,northern,and western parts of *** used a structured online questionnaire with established validity and reliability to collect *** data were analyzed using Statistical Package for the Social Sciences version 26 *** results showed that more than half of the students reported experiencing excessive increase(362;56.2%)and decrease(374;58.1%)in temperature in recent *** more than three quarters of the students(494;76.7%)accepted the general truth that climate change is mainly caused by human activities,only less than half of the students(309;48.0%)perceived the impact of climate change to be *** quarters of the students(483;75.0%)had a high level of knowledge regarding climate *** students who had a high level of knowledge about climate change exerted a high perceived impact of climate change(χ^(2)=75.47;Pclimate change to be included in the nursing curriculum,and only one sixth of the students(16.1%)were highly confident about engaging in climate change-related conversation with *** of the students who participated in the study had basic knowledge about climate change and its impact on human ***,there is an observed gap between knowledge and their preparedness and confidence to engage in climate change ***,we propose to strengthen the nursing curriculum by integra

关键词： climate change curriculum Nursing students Human health India

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Near resonance vibration isolation on a levered-dual response(LEDAR)coulomb-damped system by differential preloads/offsets in linear springs

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Applied Mathematics and Mechanics(English Edition) 2024年第6期45卷 1033-1050页

作者： T.I.TOLUWALOJU c.k.THEIN D.HALIM Department of Mechanical Materials and Manufacturing EngineeringUniversity of Nottingham Ningbo ChinaNingbo 315100Zhejiang ProvinceChina Nottingham Ningbo china Beacons of Excellence Research and Innovation Institute University of Nottingham Ningbo ChinaNingbo 315048Zhejiang ProvinceChina

The levered-dual response(LEDAR)coulomb-damped system attains near resonant vibration isolation by differential preloads/offsets in linear *** takes the advantages of both the preloads/offsets in linear springs and the guiderail friction for realizing different levels of vibration *** isolation capacities are investigated on the strategies with both the horizontal and vertical guiderails,with the horizontal rail only,and without *** compressive preloads generally result in the consumption of most of the initial excitation energy so as to overcome the potential *** isolation onsets at the frequency ratio of 1∓0.095 on the left-hand side(LHS)and the right-hand side(RHS)of the lever are relative to the load plate *** observed near resonant isolation thus makes the LEDAR system a candidate for the isolation of the mechanical systems about resonance while opening a path for simultaneous harvesterisolation functions and passive functions at extreme frequencies.

关键词： lever ratio coulomb damping preload tension/compression isolation band/depth offset potential

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Radiative heat transfer analysis of a concave porous fin under the local thermal non-equilibrium condition:application of the clique polynomial method and physics-informed neural networks

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Applied Mathematics and Mechanics(English Edition) 2024年第9期45卷 1613-1632页

作者： k.cHANDAN k.kARTHIk k.V.NAGARAJA B.c.PRASANNAkUMARA R.S.VARUN kUMAR T.MUHAMMAD Amrita School of Artificial Intelligence Amrita Vishwa VidyapeethamBengaluru 560035KarnatakaIndia Department of Studies in Mathematics Davangere UniversityDavangere 577002KarnatakaIndia computational Science Lab Amrita School of EngineeringAmrita Vishwa VidyapeethamBengaluru 560035KarnatakaIndia Department of Pure and Applied Mathematics School of Mathematical SciencesSunway UniversityPetaling Jaya 47500Malaysia Department of Mathematics College of ScienceKing Khalid UniversityAbha 61413Saudi Arabia

The heat transfer through a concave permeable fin is analyzed by the local thermal non-equilibrium(LTNE)*** governing dimensional temperature equations for the solid and fluid phases of the porous extended surface are modeled,and then are nondimensionalized by suitable dimensionless ***,the obtained nondimensional equations are solved by the clique polynomial method(cPM).The effects of several dimensionless parameters on the fin's thermal profiles are shown by graphical ***,the current study implements deep neural structures to solve physics-governed coupled equations,and the best-suited hyperparameters are attained by comparison with various network *** results of the cPM and physicsinformed neural network(PINN)exhibit good agreement,signifying that both methods effectively solve the thermal modeling problem.

关键词： heat transfer fin porous fin local thermal non-equilibrium(LTNE)model physics-informed neural network(PINN)

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Geochemistry and depositional environment of fuchsite quartzites from Sargur Group,western Dharwar craton,India

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Acta Geochimica 2024年第3期43卷 555-570页

作者： c.S.Sindhuja G.Harshitha c.Manikyamba k.S.V.Subramanyam cSIR(council of Scientific and Industrial Research)-National Geophysical Research Institute(NGRI) Uppal RoadHyderabad 500007India

Meso-Neoarchean fuchsite quartzites are present in different stratigraphic positions of Dharwar craton including the oldest(~3.3 Ga)Sargur Group of western Dharwar *** present study deals with the petro-graphic and geochemical characteristics of the fuchsite quartzites from the Ghattihosahalli belt to evaluate their genesis,depositional setting and the enigma involved in the ancient sedimentation *** major mineral assemblages include quartz,fuchsite,and feldspars along with accessory kyanite and *** geochemical com-positions are characterized by high SiO_(2),Al_(2)O_(3),low MgO,caO,strongly enriched cr(1326–6899 ppm),Ba(1165–3653 ppm),Sr(46–210 ppm),V(107–868 ppm)and Zn(11–158 ppm)contents compared to the upper continental crust(Ucc).The Ucc normalized rare earth element(REE)patterns are characterized by depleted light REE[(La/Sm)Ucc=0.33–0.95]compared to heavy REE[(Gd/Yb)_(Ucc)=0.42–1.65]with conspicuous positive Eu-anomalies(Eu/Eu^(*)=1.35–18.27)characteristic of hydrothermal solutions evidenced through the interlayered *** overall major and trace element systematics reflect a combined mafic-felsic provenance and suggest their deposition at a passive continental margin *** comprehensivefield,petrographic,and geo-chemical studies indicate that these quartzites are infiltrated by cr-richfluids released during high-grade metamorphism of associated ultramafic *** Sargur and the subse-quent Dharwar orogeny amalgamated diverse lithounits from different tectonic settings,possibly leading to the release of cr-richfluids and the formation of fuchsite quartzite during or after the *** sug-gest a pre-existing stable crust prior to the Sargur Group and the link between orogenic events and various mineral deposits in the Dharwar craton.

关键词： Dharwar craton Ghattihosahalli Fuchsite quartzite Provenance Depositional setting

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