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Spatial Attention Integrated EfficientNet Architecture for Breast Cancer Classification with Explainable AI

Computers, Materials & Continua 2024年第9期80卷 5029-5045页

作者： Sannasi Chakravarthy Bharanidharan Nagarajan Surbhi Bhatia Khan vinoth kumar venkatesan Mahesh Thyluru Ramakrishna Ahlam AlMusharraf Khursheed Aurungzeb Department of Electronics and Communication Engineering Bannari Amman Institute of TechnologySathyamangalam638402India School of Computer Science Engineering and Information Systems(SCORE) Vellore Institute of TechnologyVellore632014India School of Science Engineering and EnvironmentUniversity of SalfordManchesterM54WTUK Department of Computer Science&Engineering Faculty of Engineering and TechnologyJAIN(Deemed-to-be University)Bengaluru562112India Department of Management College of Business AdministrationPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Adjunct Research Faculty Centre for Research Impact&OutcomeChitkara UniversityRajpura140401India

Breast cancer is a type of cancer responsible for higher mortality rates among *** cruelty of breast cancer always requires a promising approach for its earlier *** light of this,the proposed research leverages the representation ability of pretrained EfficientNet-B0 model and the classification ability of the XGBoost model for the binary classification of breast *** addition,the above transfer learning model is modified in such a way that it will focus more on tumor cells in the input ***,the work proposed an EfficientNet-B0 having a Spatial Attention Layer with XGBoost(ESA-XGBNet)for binary classification of *** this,the work is trained,tested,and validated using original and augmented mammogram images of three public datasets namely CBIS-DDSM,INbreast,and MIAS *** accuracy of 97.585%(CBISDDSM),98.255%(INbreast),and 98.91%(MIAS)is obtained using the proposed ESA-XGBNet architecture as compared with the existing ***,the decision-making of the proposed ESA-XGBNet architecture is visualized and validated using the Attention Guided GradCAM-based Explainable AI technique.

关键词： EfficientNet mammograms breast cancer Explainable AI deep-learning transfer learning

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Acoustical properties of a 3D printed honeycomb structure filled with nanofillers:Experimental analysis and optimization for emerging applications

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Defence Technology（防务技术） 2024年第5期35卷 248-258页

作者： Jeyanthi Subramanian vinoth kumar Selvaraj Rohan Singh Ilangovan S Naresh Kakur Ruban Whenish School of Mechanical Engineering Vellore Institute of TechnologyChennai600127Tamil NaduIndia Department of Mechanical Engineering SRM Institute of Science and TechnologyRamapuramChennai600089India Department of Chemical Engineering and Materials Science University of Southern CaliforniaLos Angeles90089USA Advanced Materials Research Centre Technology Innovation InstituteAbu Dhabi9639UAE Center for Biomaterials Cellular and Molecular TheranosticsVellore Institute of TechnologyVellore632014Tamil NaduIndia

The novelty of this research lies in the successful fabrication of a 3D-printed honeycomb structure filled with nanofillers for acoustic properties,utilizing an impedance tube setup in accordance with ASTM standard E *** Creality Ender-3,a 3D printer,was used for printing the honeycomb structures,and polylactic acid(PLA)material was employed for their *** organic,inorganic,and polymeric compounds within the composites were identified using fourier transformation infrared(FTIR)*** structure and homogeneity of the samples were examined using a field emission scanning electron microscope(FESEM).To determine the sound absorption coefficient of the 3D printed honeycomb structure,numerous samples were systematically developed using central composite design(CCD)and analysed using response surface methodology(RSM).The RSM mathematical model was established to predict the optimum values of each factor and noise reduction coefficient(NRC).The optimum values for an NRC of 0.377 were found to be 1.116 wt% carbon black,1.025 wt% aluminium powder,and 3.151 mm distance between parallel ***,the results demonstrate that a 3Dprinted honeycomb structure filled with nanofillers is an excellent material that can be utilized in various fields,including defence and aviation,where lightweight and acoustic properties are of great importance.

关键词： 3D printing Honeycomb structure Acoustics Field emission scanning electron microscope Response surface methodology

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均相和非均相催化微藻脂质提取和酯交换制备生物燃料的研究进展

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Chinese Journal of Catalysis 2024年第4期59卷 97-117页

作者： vinoth kumar Ponnumsamy Hussein E.Al-Hazmi Sutha Shobana Jeyaprakash Dharmaraja Dipak Ashok Jadhav Rajesh Banu J Grzegorz Piechota Bartłomiej Igliński Vinod kumar Amit Bhatnagar Kyu-Jung Chae Gopalakrishnan kumar 高雄医科大学药物与应用化学系环境医学研究中心中国台湾高雄高雄医科大学医学研究部中国台湾高雄格但斯克理工大学土木与环境工程学院波兰纳鲁特维察格但斯克范朗大学工程与技术学院建筑绿色技术与可持续发展研究组越南胡志明市工程技术学院科学与人文系化学部印度泰米尔纳德邦韩国海洋大学海洋科学与工程学院环境工程系韩国釜山泰米尔纳德邦中央大学生命科学系印度泰米尔纳德邦 GPCHEM沼气研究与分析实验室波兰尼古拉斯哥白尼大学化学系波兰克兰菲尔德大学水与能源学院英国拉彭兰塔工业大学工程科学学院分离科学系芬兰韩国海洋大学海洋可再生能源工程专业韩国釜山延世大学土木与环境工程学院韩国首尔斯塔万格大学科学技术学院化学、生物科学与环境工程研究所挪威斯塔万格

随着化石燃料燃烧导致的二氧化碳排放不断加剧气候变化,且化石燃料储量日益减少,寻求可再生能源已成为一项紧迫的任务.其中,藻类衍生可持续燃料因具有成本优势和可运输性,在解决全球能源危机方面展现出广阔前景,备受关注.利用化学转化... 详细信息

随着化石燃料燃烧导致的二氧化碳排放不断加剧气候变化,且化石燃料储量日益减少,寻求可再生能源已成为一项紧迫的任务.其中,藻类衍生可持续燃料因具有成本优势和可运输性,在解决全球能源危机方面展现出广阔前景,备受关注.利用化学转化技术从微藻中提取脂质,并通过酯交换反应可以将其转化为脂肪酸甲酯,是生产绿色生物燃料的有效途径.这一过程涉及游离脂肪酸、磷脂和甘油三酯的提取,并且生产过程能耗低,成为满足日益增长的能源需求的一种理想解决方案.本文综述了微藻脂质提取和酯交换制备生物燃料的相关研究进展.首先,介绍了微藻脂质的提取方法,包括溶剂提取法、索氏提取法、布利格和戴耶法、超临界二氧化碳提取以及离子液体溶剂法等,并分析了各方法的优缺点.随后,重点阐述了酯交换技术在微藻脂质转化中的应用,包括酸碱催化、酶催化以及原位酯交换反应等,并探讨了这些技术的反应机理、催化剂选择、反应器设计以及生物油生产工艺等方面的研究进展.通过综述上述研究进展,为微藻脂质的生产和应用提供了理论指导.研究表明,通过优化催化剂种类、反应条件以及提取方法,可以有效提高微藻脂质的转化效率和生物油品质.同时,本文也指出了当前微藻脂质生产中面临的挑战,如微藻栽培和生长条件优化、高效转化技术的开发等.随着可持续能源日益受到重视,微藻脂质作为一种可再生能源具有巨大的发展潜力.未来研究应进一步关注微藻的规模化栽培、生长条件优化以及高效转化技术的研发,以提高微藻脂质的产量和品质.同时,应进一步推动和实现微藻生物燃料的实际应用,从而为应对气候变化和能源危机提供有效的解决方案.

关键词：微藻脂质提取酯交换催化酶催化原位技术

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Rare earth elements in flotation products of coals from East Kootenay coalfields,British Columbia

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Journal of Rare Earths 2019年第12期37卷 1366-1372页

作者： vinoth kumar Kuppusamy Maria Holuszko NBK Institute of Mining Engineering University of British Columbia

With the identification of coal deposits that are enriched in rare earth elements(REEs)across the world,coal and coal by-products are considered as an alternative source for REEs due to the combined supply and demand restrictions for these *** are being conducted to recover these elements from various coal *** this study,coal samples from the East Kootenay coalfields in British Columbia,Canada were examined for the presence of REEs in run-of-mine coal samples and flotation *** reveal that on an ash basis,the concentration of REEs varies from 174 to 1038 mg/kg in the *** understand the REE as sociation,which is essential for extraction purposes,a three-step sequential extraction process along with a mineralogical evaluation using scanning electron microscopy(SEM)with energy dispersive X-ray spectroscopy(EDX)and quantitative X-ray diffraction(XRD)data was *** is found that a significant portion of REEs in the feed samples were reported to middling and tailings *** mineralogical analyses reveal REE association with aluminosilicate mineral in the samples.

关键词： Rare earth elements Coal East Kootenay coalfields Mode of occurrence

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Applying real time seismic monitoring technology for slope stability assessment—An Indian opencast coal mine perspective

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International Journal of Mining Science and Technology 2014年第1期24卷 75-80页

作者： vinoth S. Ajay kumar L. Department of Mining Engineering College of Engineering GuindyAnna University

This paper outlines the results obtained from real time microseismic monitoring of an opencast coal mine in South *** objective of the study is to investigate the stress changes within the rockmass along the slope due to underground mine development operation and their impact on the stability of the highwall *** installed microseismic systems recorded the seismic triggerings down toà2 moment *** general,most of the events recorded during the monitoring period are weak in seismic *** study adopts a simple and more reliable tool to characterize the seismically active zone for assessing the stability of the highwall in real *** impact of underground working on the slope is studied on the basis of the seismic event impact contours and seismic *** the monitoring period,it is observed that the intensity of the overall microseismic activity along the slope due to the mine development operations did not cause any adverse impact on the highwall stability.

关键词： Seismic monitoring Induced seismicity Seismic clusters Slope stability Opencast mining

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Acoustical properties of a 3D printed honeycomb structure fi lled with nanofi llers: Experimental analysis and optimization for emerging applications

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Defence technology 2024年第5期 248页

作者： Jeyanthi Subramanian vinoth kumar Selvaraj Rohan Singh Ilangovan S Naresh Kakur Ruban Whenish

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Advanced Persistent Threat Detection and Mitigation Using Machine Learning Model

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Intelligent Automation & Soft Computing 2023年第6期36卷 3691-3707页

作者： U.Sakthivelu C.N.S.vinoth kumar Department of Networking and Communications College of Engineering and Technology(CET)SRM Institute of Science and TechnologyKattankulathurChennai603203India

The detection of cyber threats has recently been a crucial research domain as the internet and data drive people’s *** cyber-attacks lead to the compromise of data *** proposed system offers complete data protection from Advanced Persistent Threat(APT)attacks with attack detection and defence *** modified lateral movement detection algorithm detects the APT attacks,while the defence is achieved by the Dynamic Deception system that makes use of the belief update *** termination,every cyber-attack undergoes multiple stages,with the most prominent stage being Lateral Movement(LM).The LM uses a Remote Desktop protocol(RDP)technique to authenticate the unauthorised host leaving footprints on the network and host *** anomaly-based approach leveraging the RDP event logs on Windows is used for detecting the evidence of *** extracting various feature sets from the logs,the RDP sessions are classified using machine-learning techniques with high recall and *** is found that the AdaBoost classifier offers better accuracy,precision,F1 score and recall recording 99.9%,99.9%,0.99 and 0.98%.Further,a dynamic deception process is used as a defence mechanism to mitigateAPTattacks.A hybrid encryption communication,dynamic(Internet Protocol)IP address generation,timing selection and policy allocation are established based on mathematical models.A belief update algorithm controls the defender’s *** performance of the proposed system is compared with the state-of-the-art models.

关键词： Advanced persistent threats lateral movement detection dynamic deception remote desktop protocol Internet Protocol attack detection

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A Hybrid Approach for COVID-19 Detection Using Biogeography-Based Optimization and Deep Learning

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Computers, Materials & Continua 2022年第2期70卷 3717-3732页

作者： K.Venkatachalam Siuly Siuly M.vinoth kumar Praveen Lalwani Manas kumar Mishra Enamul Kabir Department of Computer Science and Engineering CHRIST(Deemed to be University)Bangalore560074India Institute for Sustainable Industries&Liveable Cities Victoria UniversityMelbourne14428Australia Department of Computer Science and Engineering Anna UniversityUniversity College of EngineeringDindigul624622India School of Sciences University of Southern QueenslandToowoombaDarling Heights4350Australia

The COVID-19 pandemic has created a major challenge for countries all over the world and has placed tremendous pressure on their public health care *** early diagnosis of COVID-19 may reduce the impact of the *** achieve this objective,modern computation methods,such as deep learning,may be *** this study,a computational model involving deep learning and biogeography-based optimization(BBO)for early detection and management of COVID-19 is ***,BBO is used for the layer selection process in the proposed convolutional neural network(CNN).The computational model accepts images,such as CT scans,X-rays,positron emission tomography,lung ultrasound,and magnetic resonance imaging,as *** the comparative analysis,the proposed deep learning model CNNis compared with other existingmodels,namely,VGG16,InceptionV3,ResNet50,and *** the fitness function formation,classification accuracy is considered to enhance the prediction capability of the proposed *** results demonstrate that the proposed model outperforms InceptionV3 and ResNet50.

关键词： Covid-19 biogeography-based optimization deep learning convolutional neural network computer vision

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An Improved Multi-Objective Particle Swarm Optimization Routing on MANET

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Computer Systems Science & Engineering 2023年第2期44卷 1187-1200页

作者： G.Rajeshkumar M.vinoth kumar K.Sailaja kumar Surbhi Bhatia Arwa Mashat Pankaj Dadheech Department of Computer Science and Engineering Erode Sengunthar Engineering CollegePerunduraiErode638057Tamil NaduIndia Department of Information Science and Engineering Dayananda Sagar Academy of Technology and ManagementBangalore560082India Department of Master of Computer Applications M.S.Ramaiah Institute of TechnologyBangalore560054India Department of Information Systems College of Computer Science and Information TechnologyKing Faisal UniversityRiyadh11533Saudi Arabia Faculty of Computing and Information Technology King Abdulaziz UniversityRabigh21911Saudi Arabia Department of Computer Science and Engineering Swami Keshvanand Institute of TechnologyManagement&GramothanJaipur302017RajasthanIndia

A Mobile Ad hoc Network(MANET)is a group of low-power con-sumption of wireless mobile nodes that conﬁgure a wireless network without the assistance of any existing infrastructure/centralized *** primary aim of MANETs is to extendﬂexibility into the self-directed,mobile,and wireless domain,in which a cluster of autonomous nodes forms a MANET routing *** Intrusion Detection System(IDS)is a tool that examines a network for mal-icious behavior/policy violations.A network monitoring system is often used to report/gather any suspicious attacks/*** IDS is a software program or hardware system that monitors network/security trafﬁc for malicious attacks,sending out alerts whenever it detects malicious *** impact of Dynamic Source Routing(DSR)in MANETs challenging blackhole attack is investigated in this research *** Cluster Trust Adaptive Acknowledgement(CTAA)method is used to identify unauthorised and malfunctioning nodes in a MANET *** system is active and provides successful delivery of a data packet,which implements Kalman Filters(KF)to anticipate node ***,KF is used to eliminate synchronisation errors that arise during the sending and receiving *** order to provide an energy-efﬁcient solution and to minimize network trafﬁc,route optimization in MANET by using Multi-Objective Particle Swarm Optimization(MOPSO)technique to determine the optimal num-ber of clustered MANET along with energy dissipation in *** to the researchﬁndings,the proposed CTAA-MPSO achieves a Packet Delivery Ratio(PDR)of 3.3%.In MANET,the PDR of CTAA-MPSO improves CTAA-PSO by 3.5%at 30%malware.

关键词： MANET intrusion detection system cluster kalmanﬁlter dynamic source routing multi-objective particle swarm optimization packet delivery ratio

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Fuzzy Based Ant Colony Optimization Scheduling in Cloud Computing

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Computer Systems Science & Engineering 2022年第2期40卷 581-592页

作者： K.Rajakumari M.vinoth kumar Garima Verma S.Balu Dilip kumar Sharma Sudhakar Sengan Department of Computer Science and Engineering School of EngineeringAvinashlingam Institute for Home Science and Higher Education for WomenCoimbatore641043Tamil NaduIndia Department of Information Science and Engineering Dayananda Sagar Academy of Technology and ManagementBangalore560082India School of Computing DIT UniversityDehradun248009UttarakhandIndia Department of Computer Science and Engineering Paavai Engineering CollegePachal637018Tamil NaduIndia Department of Mathematics Jaypee University of Engineering and TechnologyGuna473226M.P.India Department of Computer Science and Engineering PSN College of Engineering and TechnologyTirunelveli627152Tamil NaduIndia

Cloud computing is an Information Technology deployment model established on *** scheduling states the set of rules for task allocations to an exact virtual machine in the cloud computing ***,task scheduling challenges such as optimal task scheduling performance solutions,are addressed in cloud ***,the cloud computing performance due to task scheduling is improved by proposing a Dynamic Weighted Round-Robin *** recommended DWRR algorithm improves the task scheduling performance by considering resource competencies,task priorities,and ***,a heuristic algorithm called Hybrid Particle Swarm Parallel Ant Colony Optimization is proposed to solve the task execution delay problem in DWRR based task *** the end,a fuzzy logic system is designed for HPSPACO that expands task scheduling in the cloud environment.A fuzzy method is proposed for the inertia weight update of the PSO and pheromone trails update of the ***,the proposed Fuzzy Hybrid Particle Swarm Parallel Ant Colony Optimization on cloud computing achieves improved task scheduling by minimizing the execution and waiting time,system throughput,and maximizing resource utilization.

关键词： Cloud Computing scheduling ant colony optimization fuzzy logic

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