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Optimised hybrid classification approach for rice leaf disease prediction with proposed texture features

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Journal of Control and Decision 2024年第1期11卷 84-97页

作者： sakhamuri sridevi k.kiran kumar Department of Computer science and Engineering Koneru Lakshmaiah Education FoundationVaddeswaramIndia

This paper aims to frame a new rice disease prediction model that included three major ***,median filtering(MF)is deployed during pre-processing and then‘proposed Fuzzy Means Clustering(FCM)based segmentation’is *** that,‘Discrete Wavelet Transform(DWT),scale-Invariant Feature Transform(sIFT)and low-level features(colour and shape),Proposed local Binary Pattern(LBP)based features’are extracted that are classified via‘MultiLayer Perceptron(MLP)and Long short Term Memory(LsTM)’and predicted outcomes are *** exact prediction,this work intends to optimise the weights of LsTM using Inertia Weighted salp swarm Optimisation(IW-ssO)***,the development of IW-ssO method is established on varied metrics.

关键词： Rice disease improved fuzzy hybrid classifiers optimised LsTM IW-ssO algorithm

Enhancing performance and longevity of solid-state zinc-iodine batteries with fluorine-rich solid electrolyte interphase

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Materials Futures 2024年第3期3卷 121-131页

作者： Yongxin Huang Yiqing Wang Xiyue Peng Tongen Lin Xia Huang Norah s Alghamdi Masud Rana Peng Chen Cheng Zhang Andrew k Whittaker Lianzhou Wang and Bin Luo Australian Institute for Bioengineering and Nanotechnology(AIBN) The University of QueenslandBrisbaneQLD4072Australia school of Chemical Engineering The University of QueenslandBrisbaneQLD4072Australia school of Chemistry and Molecular Biosciences Faculty of ScienceThe University of QueenslandBrisbaneQLD4072Australia Department of Chemistry Faculty of ScienceImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh 11564Saudi Arabia

Rechargeable zinc-iodine(ZnI_(2))batteries have gained popularity within the realm of aqueous batteries due to their inherent advantages,including natural abundance,intrinsic safety,and high theoretical ***,challenges persist in their practical applications,notably battery swelling and vulnerability in aqueous electrolytes,primarily linked to the hydrogen evolution reaction and zinc dendrite *** address these challenges,this study presents an innovative approach by designing a solid-state ZnI_(2)battery featuring a solid perfluoropolyether based polymer *** results demonstrate the formation of a solid electrolyte interphase layer on zinc,promoting horizontal zinc growth,mitigating dendrite penetration,and enhancing battery cycle ***,the solid electrolyte hinders the iodine ion shuttle effect,reducing zinc foil *** batteries employing this electrolyte demonstrate excellent cycle performance,maintaining stability for approximately 5000 h at room temperature,while solid-state ZnI_(2)batteries exhibit over 7000 cycles with a capacity retention exceeding 72.2%.This work offers a promising pathway to achieving reliable energy storage in solid-state ZnI_(2)batteries and introduces innovative concepts for flexible and wearable zinc batteries.

关键词： zinc-iodine battery solid electrolyte zinc metal anode electrolyte interphase shuttle effect

Fluoride contamination in groundwater:A global review of the status,processes,challenges,and remedial measures

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Geoscience Frontiers 2024年第2期15卷 1-29页

作者： E.shaji k.V.sarath M.santosh P.k.krishnaprasad B.k.Arya Manisha s.Babu Department of Geology University of KeralaKariavattom CampusThiruvananthapuramKerala 695581India school of Earth sciences and Resources China University of Geosciences(Beijing)29 Xueyuan RoadBeijing 100083China Department of Earth science University of AdelaideAdelaideSA 5005Australia Department of Geology Central University of KeralaTejaswini HillsPeriyeKasaragodKerala 671316India

Groundwater pollution by fluoride is one of the prime concerns of the world population due to its toxicity,which results in adverse health *** this paper,we review the current scenario of the fluoride contamination of groundwater in various countries across the globe and its impact on human *** the last decade,several newly affected regions have been reported all over the world,with more than 100 countries affected by fluoride contamination in groundwater(concentration exceeding the acceptable limit of 1.5 mg/L defined by the World Health Organization).Fluoride poisoning is mainly due to the unsupervised ingestion of products for dental and oral hygiene and over-fluoridated drinking *** is estimated that more than 200 million people from different countries are affected by fluoriderelated groundwater issues and health *** highest among these are from the countries in Africa(38),Asia(28),and Europe(24),followed by countries like south America(5),North America(3),and Australia(2).The source of fluoride in drinking water is primarily geogenic,together with forage,grasses and grains,tea,and anthropogenic *** countries affected were correlated with climatic zones and geological factors to gain insights into geospatial *** analyses show that most of the fluoride pollution-prone zones are located in high-grade metamorphic terranes with granitoid or alkaline intrusions,geothermal hot springs,and volcanic regions with arid or semi-arid climatic *** study also finds that children across the globe are more vulnerable than adults to fluoride *** review finds that,although there are efficient fluoride removal techniques,including filters with next-generation nanomaterials,to date,there has not been a single technique developed that can claim to be a practically robust solution for fluoride removal from drinking ***,we suggest developing next-generation filters that can retain essential miner

关键词： Fluoride Groundwater Water contamination WHO standards Climate zones Remediation sustainable Development Goals

Casson hybrid nanofluid flow over a Riga plate for drug deliveryapplications with double diffusion

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Chinese Physics B 2024年第10期33卷 311-320页

作者： Abeer s.Alnahdi Taza Gul Department of Mathematics and statistics Faculty of ScienceImam Mohammad Ibn Saud Islamic University(IMSIU)RiyadhSaudi Arabia Department of Mathematics City University of Science and Information Technology25000PeshawarPakistan DGosT-Directorate General of science&Technology Khyber PakhtunkhwaPeshawarPakistan

Casson fluid-mediated hybrid nanofluids are more effective at transferring heat than traditional heat transfer fluids in terms of thermal *** exchangers,cooling systems and other thermal management systems are ideal for use with Casson *** control of the flow and release of medication is necessary when using Casson fluids in drug delivery systems because of their unique rheological *** involves the creation of nanoparticles that are loaded with drugs and distributed in Casson fluid-based carriers for targeted *** this study,to create a hybrid nanofluid,both single-walled carbon nanotubes(sWCNTs)and multi-walled carbon nanotubes(MWCNTs)are dispersed in a Casson fluid with Fourier’s and Fick’s laws *** Casson fluid is suitable for various engineering and medical applications due to the enhancement of heat transfer and thermal conductivity by the carbon *** objective is to understand how sWCNTs and MWCNTs impact the flow field by studying the flow behavior of the Casson hybrid nanofluid when it is stretched against a Riga *** Darcy-Forchheimer model is also used to account for the impact of the porous medium near the stretching *** linear and quadratic drag terms are taken into account in this model to accurately predict the flow behavior of the *** addition,the homotopy analysis method is utilized to address the model *** outcomes are discussed and deliberated based on drug delivery *** findings shed valuable light on the flow characteristics of a Casson hybrid nanofluid comprising sWCNTs and *** is observed that the incorporation of carbon nanotubes makes the nanofluid a promising candidate for medical applications due to its improved heat transfer properties.

关键词： carbon nanotubes(CNTs) Riga plate Casson fluid with Fourier’s and Fick’s laws analytical solutions

肾脏恶性肿瘤冷冻消融术后早期对比增强：影像表现与良性相关

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国际医学放射学杂志 2024年第1期 130-131页

作者： T.Grand C.Delavaud C.Dariane T.Ramtohul s.Guinebert O.Hélénon 李江

摘要目的肾脏恶性肿瘤冷冻消融术后早期MRI对比增强可能提示肿瘤残留（RT）。但冷冻消融术后48 h内MRI上出现强化的病人在6周后没有对比度增强，研究旨在分析

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Covalent Bond Based Android Malware Detection Using Permission and system Call Pairs

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Computers, Materials & Continua 2024年第3期78卷 4283-4301页

作者： Rahul Gupta kapil sharma R.k.Garg Department of Information Technology Delhi Technological UniversityNew Delhi110042India Department of Mechanical Engineering Deenbandhu Chhotu Ram University of Science and TechnologyMurthal131039India

The prevalence of smartphones is deeply embedded in modern society,impacting various aspects of our *** versatility and functionalities have fundamentally changed how we communicate,work,seek entertainment,and access *** the many smartphones available,those operating on the Android platform dominate,being the most widely used *** widespread adoption of the Android Os has significantly contributed to increased malware attacks targeting the Android ecosystem in recent ***,there is an urgent need to develop new methods for detecting Android *** literature contains numerous works related to Android malware *** far as our understanding extends,we are the first ones to identify dangerous combinations of permissions and system calls to uncover malicious behavior in Android *** introduce a novel methodology that pairs permissions and system calls to distinguish between benign and malicious *** approach combines the advantages of static and dynamic analysis,offering a more comprehensive understanding of an application’s *** establish covalent bonds between permissions and system calls to assess their combined *** introduce a novel technique to determine these pairs’Covalent Bond strength *** pair is assigned two scores,one for malicious behavior and another for benign *** scores serve as the basis for classifying applications as benign or *** correlating permissions with system calls,the study enables a detailed examination of how an app utilizes its requested permissions,aiding in differentiating legitimate and potentially harmful *** comprehensive analysis provides a robust framework for Android malware detection,marking a significant contribution to the *** results of our experiments demonstrate a remarkable overall accuracy of 97.5%,surpassing various state-of-the-art detection techniques proposed in the current literature.

关键词： Android malware android security hybrid analysis permission and system call pairs

supergravity effects on flame propagation and structure in hydrogen/air mixtures

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Acta Mechanica sinica 2024年第6期40卷 31-38页

作者： Wenkai Liang Chung k.Law Center for Combustion Energy Department of Energy and Power EngineeringTsinghua UniversityBeijing100080China Department of Mechanical and Aerospace Engineering Princeton UniversityPrinceton08544USA

In the current work,we investigated hydrogen/air flame propagation under supergravity *** show that when gravity is in the same/opposite direction as flame propagation,it leads to acceleration/deceleration of the flame,and that such an effect could substantially modify the flame propagation and structure at high gravity ***,for the absolute and relative flame propagation speeds,the gravity-affected flame speed shows opposite trends as the absolute flame speed is more affected by the local induced flow field,while the relative flame speeds are controlled by the super-adiabatic or sub-adiabatic flame *** gravity-affected thermal and chemical flame structures are also examined through the influence of the mixture equivalence ratio,pressure,and flame stretch.

关键词： supergravity Flame acceleration Laminar flame speed Flame stretch Hydrogen

Conformally symmetric wormhole solutions supported by non-commutative geometry in f(Q,T)gravity

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Communications in Theoretical Physics 2024年第2期76卷 111-124页

作者： Chaitra Chooda Chalavadi V Venkatesha N s kavya s V Divya Rashmi Department of P.G.studies and Research in Mathematics Kuvempu UniversityShankaraghattaShivamogga 577451KarnatakaIndia Department of Mathematics Vidyavardhaka College of EngineeringMysuru—570002India

This paper investigates wormhole solutions within the framework of extended symmetric teleparallel gravity,incorporating non-commutative geometry,and conformal *** achieve this,we examine the linear wormhole model with anisotropic fluid under Gaussian and Lorentzian *** primary objective is to derive wormhole solutions while considering the influence of the shape function on model parameters under Gaussian and Lorentzian *** resulting shape function satisfies all the necessary conditions for a traversable ***,we analyze the characteristics of the energy conditions and provide a detailed graphical discussion of the matter contents via energy ***,we explore the effect of anisotropy under Gaussian and Lorentzian ***,we present our conclusions based on the obtained results.

关键词： traversable wormhole f(Q T)gravity energy conditions non-commutative geometry conformal motion

Improving Channel Estimation in a NOMA Modulation Environment Based on Ensemble Learning

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Computer Modeling in Engineering & sciences 2024年第8期140卷 1315-1337页

作者： Lassaad k.smirani Leila Jamel Latifah Almuqren Elearning Deanship and Distance Education Umm Al-Qura UniversityP.O.Box 715MekkahSaudi Arabia Department of Information systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

This study presents a layered generalization ensemble model for next generation radio mobiles,focusing on supervised channel estimation *** estimation typically involves the insertion of pilot symbols with a well-balanced rhythm and suitable *** model,called stacked Generalization for Channel Estimation(sGCE),aims to enhance channel estimation performance by eliminating pilot insertion and improving *** sGCE model incorporates six machine learning methods:random forest(RF),gradient boosting machine(GB),light gradient boosting machine(LGBM),support vector regression(sVR),extremely randomized tree(ERT),and extreme gradient boosting(XGB).By generating meta-data from five models(RF,GB,LGBM,sVR,and ERT),we ensure accurate channel coefficient predictions using the XGB *** validate themodeling performance,we employ the leave-one-out cross-validation(LOOCV)approach,where each observation serves as the validation set while the remaining observations act as the training *** performances’results demonstrate higher mean andmedian accuracy compared to the *** achieves an average accuracy of 98.4%,precision of 98.1%,and the highest F1-score of 98.5%,accurately predicting channel ***,our proposedmethod outperforms prior traditional and intelligent techniques in terms of throughput and bit error ***’s superior performance highlights its efficacy in optimizing channel *** can effectively predict channel coefficients and contribute to enhancing the overall efficiency of radio mobile *** extensive experimentation and evaluation,we demonstrate that sGCE improved performance in channel estimation,surpassing previous ***,sGCE’s capabilities have significant implications for optimizing channel estimation in modern communication systems.

关键词： stacked generalization ensemble learning non-Orthogonal Multiple Access(NOMA) channel estimation 5G