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routing with Cooperative Nodes Using Improved Learning Approaches

Intelligent Automation & Soft Computing 2023年第3期35卷 2857-2874页

作者： r.raja N.Satheesh J.Britto Dennis C.raghavendra Department of CSIT CVR College of EngineeringTelanganaIndia Department of Computer Science and Engineering St.Martin’s Engineering CollegeSecunderabadTelanganaIndia Department of Computer Science and Engineering Dhanalakshmi Srinivasan UniversityTrichyTamilnaduIndia CSIT Department CVR College of EngineeringHyderabadIndia

In IoT,routing among the cooperative nodes plays an incredible role in fulﬁlling the network requirements and enhancing system *** eva-luation of optimal routing and related routing parameters over the deployed net-work environment is *** research concentrates on modelling a memory-based routing model with Stacked Long Short Term Memory(s-LSTM)and Bi-directional Long Short Term Memory(b-LSTM).It is used to hold the routing information and random routing to attain superior *** pro-posed model is trained based on the searching and detection mechanisms to com-pute the packet delivery ratio(PDr),end-to-end(E2E)delay,throughput,*** anticipated s-LSTM and b-LSTM model intends to ensure Quality of Service(QoS)even in changing network *** performance of the proposed b-LSTM and s-LSTM is measured by comparing the signiﬁcance of the model with various prevailing ***,the performance is measured with Mean Absolute Error(MAE)and root Mean Square Error(rMSE)for mea-suring the error rate of the *** prediction of error rate is made with Learn-ing-based Stochastic Gradient Descent(L-SGD).This gradual gradient descent intends to predict the maximal or minimal error through successive *** simulation is performed in a MATLAB 2020a environment,and the model performance is evaluated with diverse *** anticipated model intends to give superior performance in contrast to prevailing approaches.

关键词： Internet of Things(IoT) stacked long short term memory bi-directional long short term memory error rate stochastic gradient descent

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2D Finite Element Analysis of Asynchronous Machine Influenced Under Power Quality Perturbations

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Computers, Materials & Continua 2022年第3期70卷 5745-5763页

作者： Jasmin Pamela S r.Saranya V.Indragandhi r.raja Singh V.Subramaniyaswamy Yuvaraja Teekaraman Shabana Urooj Norah Alwadai School of Electrical Engineering Vellore Institute of TechnologyVelloreIndia School of Computing SASTRA Deemed UniversityThanjavurIndia Mobility Logisticsand Automotive Technology Research CentreFaculty of EngineeringETECDepartment of Electrical Engineering and Energy TechnologyVrije Universiteit BrusselBrussel1050Belgium Department of Electrical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Physics College of SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia

Asynchronous machines are predominantly preferred in industrial sectors for its *** quality perturbations have a greater impact on industries;among the different power quality events,voltage fluctuations are the most common and that may cause adverse effect on machine’s operation since they are longer *** article discusses a numerical technique for evaluating asynchronous motors while taking into account magnetic saturation,losses,leakage flux,and voltage drop.A 2D linear analysis involving a multi-slice time stepping finite element model is used to predict the end *** an outcome,the magnetic saturation and losses are estimated using amodified 2D nonlinear time-stepping finite element *** method takes the electromagnetic fields at the ends of the motor into account using limited computer *** proposed method will greatly reduce computation timewith limited computer resources for analyzing themachine’s performance with high *** analyzed findings assist in preventing voltage variance issues in the power network system and provide suggestions for developing a robust system.

关键词： Asynchronous machine finite element model analysis voltage variations power quality multi-slice model

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Magnetic properties of gadolinium and/or dysprosium substituted Sm-Co nanocomposite ribbons

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Journal of rare Earths 2024年第6期42卷 1093-1100,I0004页

作者： Akila raja Shampa Aich Department of Metallurgical A Materials EngineeringIndian Institute of Technology(IIT) Kharagpur721302India

The present study reported the influence of heavy rare-earth elements(Gd and/or Dy)on Sm-Co-based melt-spun *** and magnetic properties of Sm-Co-based(Sm_(1-x)rE_(x)Co_(5))ternary and quaternary systems were *** X-ray diffraction,Auger spectroscopy,scanning electron microscopy(SEM)and transmission electron microscopy(TEM)analyses reveal the presence of the 1:5H and 2:17r phases in the as-spun ribbons.A high-temperature magnetic measurement reports a Curie temperature(Tc)at~825 and~869 K in Sm0.6Gd0.4Co5(ribbon A)and Sm_(0.6)Gd_(0.3)Dy_(0.1)Co_(5)(ribbon B),respectively.A low-temperature magnetic measurement on Sm0.6Gd0.3Dy0.1Co5 ribbons exhibits a type-2 Sr(spin reorientation)behaviour at~72 K,which arises due to the presence of the DyCo5 *** temperature magnetic measurements reveal that overall magnetic measurement(OMP)is about 24 and 29.9 for ribbons A and B,***,the comparative investigations profess that ribbon B shows better magnetic performance due to Dy addition with reduced grain *** observation indicates that the Gd and Dy substituted Sm-Co magnet can be a potential magnet for high-temperature applications.

关键词： Permanent magnets Melt-spinning Heavy rare-earth Curie temperature rare earths

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MXenes and heterostructures-based electrocatalysts for hydrogen evolution reaction:recent developments and future outlook

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Journal of Energy Chemistry 2024年第5期92卷 176-206页

作者： Abdul Hanan Hafiz Taimoor Ahmed Awan Faiza Bibi raja rafidah raja Sulaiman Wai Yin Wong rashmi Walvekar Seema Singh Mohammad Khalid Sunway Centre for Electrochemical Energy and Sustainable Technology(SCEEST) School of Engineering and TechnologySunway UniversityNo.5 Jalan UniversitiBandar Sunway47500 Petaling JayaSelangorMalaysia Fuel Cell Institute Universiti Kebangsaan Malaysia43600 UKM BangiSelangorMalaysia Faculty of Innovation and Technology School of EngineeringChemical Engineering ProgrammeNo.1 Jalan Taylor’sTaylor’s University Malaysia47500 Subang JayaSelangorMalaysia Chitkara Centre for research and Development Chitkara UniversityHimachal Pradesh 174103India School of Applied and Life Sciences Uttaranchal UniversityDehradunUttarakhand 248007India Manipal Institute of Technology Manipal Academy of Higher EducationManipal 576104KarnatakaIndia Centre of research Impact and Outcome Chitkara UniversityPunjab 140401India

The increasing focus on electrocatalysis for sustainable hydrogen(H_(2))production has prompted significant interest in MXenes,a class of two-dimensional(2D)materials comprising metal carbides,carbonitrides,and *** materials exhibit intriguing chemical and physical properties,including excellent electrical conductivity and a large surface area,making them attractive candidates for the hydrogen evolution reaction(HEr).This scientific review explores recent advancements in MXene-based electrocatalysts for HEr *** discusses various compositions,functionalities,and explicit design principles while providing a comprehensive overview of synthesis methods,exceptional properties,and electro-catalytic approaches for H_(2) production via electrochemical ***,challenges and future prospects in designing MXenes-based electrocatalysts with enhanced kinetics are highlighted,emphasizing the potential of incorporating different metals to expand the scope of electrochemical *** review suggests possible efforts for developing advanced MXenes-based electrocatalysts,particularly for efficient H_(2) generation through electrochemical water-splitting reactions..

关键词： MXenes Electrocatalyst Water Splitting Hydrogen Generation Clean Energy

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A Comprehensive Systematic review: Advancements in Skin Cancer Classification and Segmentation Using the ISIC Dataset

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2131-2164页

作者： Madiha Hameed Aneela Zameer Muhammad Asif Zahoor.raja Department of Computer Sciences Pakistan Institute of Engineering and Applied SciencesNilore50700Islamabad Future Technology research Center National Yunlin University of Science and TechnologyDouliou64002Taiwan Directorate of IT Services University of GujratGujrat50700Pakistan

The International Skin Imaging Collaboration(ISIC)datasets are pivotal resources for researchers in machine learning for medical image analysis,especially in skin cancer *** datasets contain tens of thousands of dermoscopic photographs,each accompanied by gold-standard lesion diagnosis *** challenges associated with ISIC datasets have spurred significant advancements,with research papers reporting metrics surpassing those of human *** cancers are categorized into melanoma and non-melanoma types,with melanoma posing a greater threat due to its rapid potential for metastasis if left *** paper aims to address challenges in skin cancer detection via visual inspection and manual examination of skin lesion images,processes historically known for their *** notable advancements in machine learning and deep learning models,persistent challenges remain,largely due to the intricate nature of skin lesion *** review research on convolutional neural networks(CNNs)in skin cancer classification and segmentation,identifying issues like data duplication and augmentation *** explore the efficacy of Vision Transformers(ViTs)in overcoming these challenges within ISIC dataset *** leverage their capabilities to capture both global and local relationships within images,reducing data duplication and enhancing model ***,ViTs alleviate augmentation issues by effectively leveraging original *** a thorough examination of ViT-based methodologies,we illustrate their pivotal role in enhancing ISIC image classification and *** study offers valuable insights for researchers and practitioners looking to utilize ViTs for improved analysis of dermatological ***,this paper emphasizes the crucial role of mathematical and computational modeling processes in advancing skin cancer detection methodologies,highlighting their significance in improving algorithmic

关键词： Medical image skin cancer classification skin cancer segmentation international skin imaging collaboration convolutional neural network deep learning

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Smart prediction of liquefaction-induced lateral spreading

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Journal of rock Mechanics and Geotechnical Engineering 2024年第6期16卷 2310-2325页

作者： Muhammad Nouman Amjad raja Tarek Abdoun Waleed El-Sekelly New York University(NYU)Abu Dhabi Abu Dhabi129188United Arab Emirates University of Management and Technology Lahore54372Pakistan Department of Civil and Environmental Eng. Rensselaer Polytechnic Institute(RPI)1108th StreetJEC 4049TroyNY12180USA Department of Structural Engineering Mansoura UniversityMansoura35516Egypt

The prediction of liquefaction-induced lateral spreading/displacement(Dh)is a challenging task for civil/geotechnical *** this study,a new approach is proposed to predict Dh using gene expression programming(GEP).Based on statistical reasoning,individual models were developed for two topographies:free-face and gently sloping *** with a comparison with conventional approaches for predicting the Dh,four additional regression-based soft computing models,*** process regression(GPr),relevance vector machine(rVM),sequential minimal optimization regression(SMOr),and M5-tree,were developed and compared with the GEP *** results indicate that the GEP models predict Dh with less bias,as evidenced by the root mean square error(rMSE)and mean absolute error(MAE)for training(i.e.1.092 and 0.815;and 0.643 and 0.526)and for testing(i.e.0.89 and 0.705;and 0.773 and 0.573)in free-face and gently sloping ground topographies,*** overall performance for the free-face topology was ranked as follows:GEP>rVM>M5-tree>GPr>SMOr,with a total score of 40,32,24,15,and 10,*** the gently sloping condition,the performance was ranked as follows:GEP>rVM>GPr>M5-tree>SMOr with a total score of 40,32,21,19,and 8,***,the results of the sensitivity analysis showed that for both free-face and gently sloping ground,the liquefiable layer thickness(T_(15))was the major parameter with percentage deterioration(%D)value of 99.15 and 90.72,respectively.

关键词： Lateral spreading Intelligent modeling Gene expression programming(GEP) Closed-form solution Feature importance

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Lump and travelling wave solutions of a(3+1)-dimensional nonlinear evolution equation

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Journal of Ocean Engineering and Science 2024年第2期9卷 164-172页

作者： Kalim U.Tariq raja Nadir Tufail Department of Mathematics Mirpur University of Science and TechnologyMirpurAJK 10250Pakistan

In this paper,the(3+1)-dimensional nonlinear evolution equation is studied *** bilinear form of given model is achieved by using the Hirota bilinear *** a result,the lump waves and col-lisions between lumps and periodic waves,the collision among lump wave and single,double-kink soliton solutions as well as the collision between lump,periodic,and single,double-kink soliton solutions for the given model are ***,some new traveling wave solutions are developed by applying the exp(−φ(ξ))expansion *** 3D,2D and contours plots are drawn to demonstrate the nature of the nonlinear model for setting appropriate set of *** a result,a collection of bright,dark,periodic,rational function and elliptic function solutions are *** applied strategies appear to be more powerful and efficient approaches to construct some new traveling wave structures for various contemporary models of recent era.

关键词： The Hirota bilinear method Lump wave solution Travelling wave solution Exp(−φ(ξ))expansion technique

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Wavelet Synchro-squeezing Transform and Dynamic Threshold Supported Symmetrical Power Swing Technique for Modern Transmission Network

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Chinese Journal of Electrical Engineering 2024年第2期10卷 30-43页

作者： Monalisa Biswal Kumar.raja Andanapalli Papia ray Department of Electrical Engineering National Institute of Technology RaipurChhattisgarh 492010India Department of Electrical Engineering Veer Surendra Sai University of TechnologyBurla Sambalpur 768018India

Distance relays are prone to symmetrical power swing *** mitigate this issue,a dynamic threshold-supported algorithm is proposed.A single logic is not supposed to be secure for all ***,a supervisory algorithm,as proposed in this study,can aid in the improvement of the immunity of the relay during swing cases and be sensitive to symmetrical *** the developed stages,a three-phase power signal was used and processed in two different steps:(i)extraction of the effective intrinsic mode function(IMF)selected from the Kurtosis analysis using the wavelet synchro-squeezing transform,and(ii)estimation of the average Euclidean distance index using the absolute values of the decomposed IMF’*** adaptive threshold facilitated resistance to swing *** the onset of a symmetrical fault,the proposed algorithm efficiently discriminated among events using a dynamic *** IEEE 39-bus test system and Indian Eastern Power Grid networks were modelled using PSCAD software,and cases were generated to test the efficacy of the *** impact of the proposed method on a large-scale wind farm was also evaluated.A comparative analysis with other existing methods revealed the security and dependability of the proposed method.

关键词： Distance relays symmetrical power swing wind farm wavelet synchro-squeezing transform(WSST) Euclidean distance

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Heavy metal exposure as a risk factor in oral cancer

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Cancer Pathogenesis and Therapy 2024年第3期2卷 215-216页

作者： raja Kamalesh Anbalagan Saravanan Department of Biotechnology Saveetha School of EngineeringSIMATSChennaiTamil Nadu 602105India

Managing editor:Peng Lyu The mortality rate of oral cancer is higher than that of other *** have also been rising concerns regarding exposure to heavy metals and their role in oral cancer *** heavy metals induce several adverse health effects,including *** letter examines information on heavy metals from research databases such as PubMed,ScienceDirect,Google Scholar,and researchGate,highlighting their toxic mechanism,treatment approaches,and future directions.

关键词： cancer mortality carcinogenesis

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Bio-analysis of Saliva Using Paper Devices and Colorimetric Assays

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Journal of Analysis and Testing 2024年第1期8卷 114-132页

作者： Adhan Narasimhan Harshil Jain Kowshika Muniandy raja Chinnappan Naresh Kumar Mani Microfluidics Sensors and Diagnostics(μSenD)LaboratoryCentre for MicrofluidicsBiomarkersPhotoceutics&Sensors(μBioPS)Department of BiotechnologyManipal Institute of TechnologyManipal Academy of Higher EducationManipalKarnataka 576104India College of Medicine Alfaisal UniversityRiyadh 11533SaudiArabia Tissue/Organ Bioengineering&BioMEMS Lab Organ Transplant Centre of ExcellenceTransplant Research&Innovation DepartmentKing Faisal Specialist Hospital and Research CentreRiyadhSaudi Arabia

In light of the evolving nature of various diseases,time becomes a crucial factor in diagnosis and identifying the underlying causes.A point-of-care device provides a rapid diagnosis of a disease without using complex and advanced instruments,which are costly and difficult to transport.A paper-based device is a relatively frugal solution wherein the paper is used as a substratum in which the reactions are carried *** methods are non-invasive,and the sample collection is relatively *** is one such body fluid in which various biomarkers are present for numerous *** of saliva has attracted more attention recently due to its non-invasiveness and *** the discovery of clinical biomarkers from salivary analysis has the potential to revolutionize the healthcare sector by providing crucial information to monitor the health status of individuals and disease progression which enables personalized *** review provides the limitation of the traditional methods in clinical applications and highlights the significance of saliva as a non-invasive biological fluid that is a source of multiple biomarkers associated with various *** also provides insights into the different paper-based colorimetric microfluidic devices developed against salivary biomarkers in the past *** major challenges in the point-of-care application and the future prospects have been discussed as ***,we also emphasize the importance of this approach in dental disease diagnosis which is least explored and holds potential applications.

关键词： Paper-based assay Salivary analysis Non-invasive Point-of-care Body fluids Biomarkers Qualitative detection

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