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Ensemble Nonlinear Support Vector Machine Approach for Predicting Chronic Kidney diseases

Computer Systems Science & Engineering 2022年第9期42卷 1273-1287页

作者： S.Prakash P.Vishnu Raja A.Baseera d.mansoor hussain V.R.Balaji K.Venkatachalam department of Computer Science and Engineering Sri Shakthi Institute of Engineering and TechnologyCoimbatore641062India department of Computer Science and Engineering Kongu Engineering CollegePerundurai638060India School of Computing Science and Engineering VIT Bhopal UniversityBhopal466114India department of Computer Science and Engineering Sri Krishna College of Engineering and TechnologyCoimbatore641008India department of ECE Sri Krishna College of Engineering and TechnologyCoimbatore641008India department of Applied Cybernetics Faculty of ScienceUniversity of Hradec Králové50003Hradec KrálovéCzech Republic

Urban living in large modern cities exerts considerable adverse effectson health and thus increases the risk of contracting several chronic kidney diseases (CKd). The prediction of CKds has become a major task in urbanizedcountries. The primary objective of this work is to introduce and develop predictive analytics for predicting CKds. However, prediction of huge samples isbecoming increasingly difficult. Meanwhile, MapReduce provides a feasible framework for programming predictive algorithms with map and reduce *** relatively simple programming interface helps solve problems in the scalability and efficiency of predictive learning algorithms. In the proposed work, theiterative weighted map reduce framework is introduced for the effective management of large dataset samples. A binary classification problem is formulated usingensemble nonlinear support vector machines and random forests. Thus, instead ofusing the normal linear combination of kernel activations, the proposed work creates nonlinear combinations of kernel activations in prototype examples. Furthermore, different descriptors are combined in an ensemble of deep support vectormachines, where the product rule is used to combine probability estimates ofdifferent classifiers. Performance is evaluated in terms of the prediction accuracyand interpretability of the model and the results.

关键词： Chronic disease classification iterative weighted map reduce machine learning methods ensemble nonlinear support vector machines random forests

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Industrial Centric Node Localization and Pollution Prediction Using Hybrid Swarm Techniques

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Computer Systems Science & Engineering 2022年第8期42卷 545-560页

作者： R.Saravana Ram M.Vinoth Kumar N.Krishnamoorthy A.Baseera d.mansoor hussain N.Susila department of Electronics and Communication Engineering Anna UniversityUniversity College of Engineering DindigulDindigul624622India department of Computer Science and Engineering Anna UniversityUniversity College of Engineering DindigulDindigul624622India department of Computer Science and Engineering Kongu Engineering CollegePerundurai638060India School of Computing Science and Engineering VIT Bhopal UniversityBhopal466114India department of Computer Science and Engineering Sri Krishna College of Engineering and TechnologyCoimbatore641008India department of Information Technology Sri Krishna College of Engineering and TechnologyCoimbatore641008India

Major fields such as military applications,medical fields,weather forecasting,and environmental applications use wireless sensor networks for major computing *** play a vital role in emerging technologies of the 20th *** of sensors in needed locations is a very serious *** environment is home to every living being in the *** growth of industries after the industrial revolution increased pollution across the *** to recent uncontrolled growth and development,sensors to measure pollution levels across industries and surroundings are *** interesting and challenging task is choosing the place to fit the *** meta-heuristic techniques have been introduced in node *** intelligent algorithms have proven their efficiency in many studies on localization *** this article,we introduce an industrial-centric approach to solve the problem of node localization in the sensor ***,our work aims at selecting industrial areas in the sensed *** use random forest regression methodology to select the polluted ***,the elephant herding algorithm is used in sensor node *** two algorithms are combined to produce the best standard result in localizing the sensor *** check the proposed performance,experiments are conducted with data from the Kdd Cup 2018,which contain the name of 35 stations with concentrations of air pollutants such as PM,SO_(2),CO,NO_(2),and O_(3).These data are normalized and tested with *** results are comparatively analyzed with other swarm intelligence algorithms such as the elephant herding algorithm,particle swarm optimization,and machine learning algorithms such as decision tree regression and multi-layer *** can indicate our proposed algorithm can suggest more meaningful locations for localizing the sensors in the *** proposed method achieves a lower root mean square value with 0.06 to 0.08 for lo

关键词： Wireless sensor networks node localization industrial-centric approach random forest regression elephant herding optimization swarm intelligence pollution

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PSO-dBNet for Peak-to-Average Power Ratio Reduction Using deep Belief Network

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Computer Systems Science & Engineering 2023年第5期45卷 1483-1493页

作者： A.Jameer Basha M.Ramya devi S.Lokesh P.Sivaranjani d.mansoor hussain Venkat Padhy department of Computer Science and Engineering Hindusthan Institute of TechnologyCoimbatore641032India department of Computer Science and Engineering Hindusthan College of Engineering and TechnologyCoimbatore641032India department of Electronics and Communication Engineering Kongu Engineering CollegeErode638060India department of Computer Science and Engineering Sri Krishna College of Engineering and TechnologyCoimbatore641008India School of Computing Science&Engineering VIT Bhopal UniversityBhopal466114India

data transmission through a wireless network has faced various signal problems in the past *** orthogonal frequency division multiplexing(OFdM)technique is widely accepted in multiple data transfer patterns at various frequency bands.A recent wireless communication network uses OFdM in longterm evolution(LTE)and 5G,among *** main problem faced by 5G wireless OFdM is distortion of transmission signals in the *** transmission loss is called peak-to-average power ratio(PAPR).This wireless signal distortion can be reduced using various *** study uses machine learning-based algorithm to solve the problem of PAPR in 5G wireless *** transmit sequence(PTS)helps in the fast transfer of data in wireless *** is merged with deep belief neural network(dBNet)for the efficient processing of signals in wireless 5G *** indicates that the proposed system outperforms other existing ***,PAPR reduction in OFdM by dBNet is optimized with the help of an evolutionary algorithm called particle swarm ***,the specified design supports in improving the proposed PAPR reduction architecture.

关键词： 5G wireless network orthogonal frequency division multiplexing signal distortion peak to average power ratio partial transmit sequence deep belief network

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PdCu alloy anchored defective titania for photocatalytic conversion of carbon dioxide into methane with 100% selectivity

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Journal of Energy Chemistry 2024年第4期91卷 254-265页

作者： Lina Zhang Sajjad hussain Qiuye Li Jianjun Yang National&Local Joint Engineering Research Center for Applied Technology of Hybrid Nanomaterials Henan UniversityKaifeng 475004HenanChina

The photoreduction of CO_(2)into CH_(4)with simultaneous high activity and selectivity is a promising strategy to increase energy supply and alleviate global ***,the absence of the active sites that is responsible for the adsorption and activation of CO_(2)and the generation of CO and H2via side reactions often lead to poor efficiency and low selectivity of the ***,Cu,Pd,and PdCu metal clusters cocatalyst-anchored defective TiO_(2)nanotubes(Cu/TiO_(2)-SBO,Pd/TiO_(2)-SBO,and Pd1Cu1/TiO_(2)-SBO)were designed via a simple solution impregnation reduction and applied for photocatalytic conversion of CO_(2)to CH_(4).The Pd1Cu1/TiO_(2)-SBO photocatalyst exhibits excellent catalytic performance among the other catalysts for photoreduction of CO_(2)into CH_(4).More interestingly,the product selectivity of CH_(4)reaches up to 100%with a rate of 25μmol g^(-1)h^(-1).In-situ diffuse reflectance infrared Fourier transform spectroscopy(dRIFTS)and density functional theory(dFT)simulations indicate that the main reasons for the high selectivity of CH_(4)are attributed to the PdCu alloy and oxygen vacancies,which jointly enhance the photoinduced carrier separation and lower energy barriers of key ***,due to the tunable d-band center of the Cu site in the PdCu alloy,the generated intermediates can be well prevented from poisoning and promoted to participate in further ***,the current study will provide insight into the development of new,highly selective photocatalysts for the visible light-catalytic reduction of CO_(2)into CH_(4).

关键词： PdCu alloy defective TiO_(2) Photoreduction of CO_(2) Photocatalytic mechanism

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M_(4)X_(3) MXenes:Application in Energy Storage devices

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Nano-Micro Letters 2024年第10期16卷 522-542页

作者： Iftikhar hussain Waqas Ul Arifeen Shahid Ali Khan Sikandar Aftab Muhammad Sufyan Javed Sajjad hussain Muhammad Ahmad Xi Chen Jiyun Zhao PRosaiah Khaled Fahmi Fawy Adnan Younis Sumanta Sahoo Kaili Zhang department of Mechanical Engineering City University of Hong Kong83 Tat Chee AvenueKowloon TongHong KongPeople's Republic of China School of Mechanical Engineering Yeungnam UniversityDaehak-roGyeongsan-siGyeongbuk-do 38541South Korea department of Semiconductor Systems Engineering and Clean Energy Sejong UniversitySeoul 05006Republic of Korea School of Physical Science and Technology Lanzhou UniversityLanzhou 730000People's Republic of China department of Nanotechnology and Advanced Materials Engineering Sejong UniversitySeoul 05006Republic of Korea department of Physics Saveetha School of EngineeringSaveetha Institute of Medical and Technical Sciences(SIMATS)ThandalamChennai 602105India department of Chemistry Faculty of ScienceKing Khalid UniversityP.O.Box 900461413 AbhaSaudi Arabia department of Physics College of ScienceUnited Arab Emirates UniversityP.O.Box 15551Al-AinUnited Arab Emirates School of Chemical Engineering Yeungnam UniversityGyeongsanGyeongbuk 38541South Korea

MXene has garnered widespread recognition in the scientific com-munity due to its remarkable properties,including excellent thermal stability,high conductivity,good hydrophilicity and dispersibility,easy processability,tunable surface properties,and admirable *** have been categorized into different families based on the number of M and X layers in M_(n+1)X_(n),such as M_(2)X,M_(3)X_(2),M_(4)X_(3),and,recently,M_(5)X_(4).Among these families,M_(2)X and M_(3)X_(2),par-ticularly Ti_(3)C_(2),have been greatly explored while limited studies have been given to M_(5)X_(4)MXene ***,studies on the M_(4)X_(3)MXene family have developed recently,hence,demanding a compilation of evaluated ***,this review provides a systematic overview of the latest advancements in M_(4)X_(3)MXenes,focusing on their properties and applications in energy storage *** objective of this review is to provide guidance to researchers on fostering M_(4)X_(3)MXene-based nanomaterials,not only for energy storage devices but also for broader applications.

关键词： MXene M_(4)X_(3)MXenes 2d materials Energy storage Properties

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decoding bone-inspired and cell-instructive cues of scaffolds for bone tissue engineering

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Engineered Regeneration 2024年第1期5卷 21-44页

作者： Zahid hussain Shah Mehmood Xingzhu Liu Yuanshan Liu Guocheng Wang Renjun Pei School of Nano-Tech and Nano-Bionics University of Science and Technology of China(USTC)Hefei 230026PR China CAS Key Laboratory for Nano-Bio Interface Suzhou Institute of Nano-Tech and Nano-Bionics(SINANO)Chinese Academy of SciencesSuzhou 215123PR China Research Center for Human Tissues and Organs degeneration Shenzhen Institute of Advanced Technology(SIAT)Chinese Academy of ScienceShenzhen 518055PR China

Bone fractures are common occurrence in clinical settings,creating a high demand for effective repair ***,limited graft availability,donor site morbidities,unpredictable clinical outcomes,immunologic reactions,infection risks,and geometrical mismatching concerns hampered tissue graft use and underscored the need for scaffolds for more effective bone reconstructions due to their tunable *** progress has been carried out in past decade in the fields of nanoceramics synthesis,bioconjugate chemistry,and composite material *** review outlines hierarchical structures and biology of bone tissue,materialistic compo-nents of scaffolds(bioceramics,polymers,bioactive drugs),featured scaffolding strategies(nanofibers,hydrogels,aerogels,bioprinting,and fiber-reinforced composite),and emphasis that hierarchical and physiochemical char-acteristics of bone should be used as an inspiration for scaffold *** review discussed how differences in materiobiological aspects of scaffolds,such as polymer/bioceramic nanocomposite,mineralized nanocomposite,matrix-rich nanocomposite,3d microenvironmental cues,pore space cues,mechanical cues,usage of physical stimulation(magnetic,electroactive,and photoactivated cues),surface cues(wettability,roughness,textured,and surface charge),and biointerface cues(cell-biomaterial interactions,cell-selective homing,and cell regula-tory strategies)modulate cellular and biological response for bone tissue *** study further outlines the challenges and benefits of integrating materiobiological cues of scaffolds for bone tissue engineering.

关键词： Bone substitute Scaffolds Mineralization Materiobiology Bone tissue engineering

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Trust-based Intelligent Scheme for Mitigating Black Hole Attacks in IoT

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Journal of Harbin Institute of Technology(New Series) 2024年第3期31卷 39-50页

作者： Feroz Khan A.B Weslin d dilli Babu M Mohammed Muzaffar hussain department of Computer Science Syed Hameedha Arts and Science CollegeKilakarai 623806Tamil NaduIndia department of Information Technology Mohamed Sathak AJ College of EngineeringSiruseriChennai 603103India department of Information Technology Panimalar Engineering CollegeChennai 600123India department of Information Technology C.Abdul Hakeem College of Engineering and TechnologyMelvisharam 632509India

Internet of Things(IoT)networks are characterized by a multitude of wireless,interconnected devices that can dynamically join or exit the network without centralized administration or fixed infrastructure for *** multipath routing in IoT networks can improve data transmission reliability and load balancing by establishing multiple paths between source and destination nodes,these networks are susceptible to security threats due to their wireless *** security solutions developed for conventional networks are often ill-suited to the unique challenges posed by IoT *** response to these challenges,this paper proposes the integration of the Ad hoc On-demand Multipath distance Vector(AOMdV)routing protocol with a trust model to enhance network *** findings from this research demonstrate the successful fusion of AOMdV with a trust model,resulting in tangible improvements in network *** assessment of trustworthiness bolsters both security and routing capabilities in IoT *** trust model plays a crucial role in mitigating black hole attacks in IoT networks by evaluating the trustworthiness of nodes and helping in the identification and avoidance of malicious nodes that may act as black *** results validate the efficacy of the proposed trust-based routing mechanism in achieving its *** plays a pivotal role in decision-making and in the creation of secure distribution *** assessing the trustworthiness of nodes,both network security and routing efficiency can be *** effectiveness of the proposed trust-based routing mechanism is scrutinized through simulations,offering insights into its potential advantages in terms of improved network security and routing performance in the context of the IoT.

关键词： Mobile ad-hoc network(MANET) routing Ad hoc On-demand Multipath distance Vector(AOMdV) trust model security

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Chemical constituents and anticoagulant activity from delphinium brunonianum Royle

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未来食品学报(英文) 2024年第3期4卷 241-247页

作者： Changyang Ma Sitan Chen Syed Arif hussain Rizvi Huihui Zhou Wenyi Kang Xuefeng Xi Zhenhua Liu National R&d Center for Edible Fungus Processing Technology Henan UniversityKaifeng 475004China Joint International Research Laboratory of Food&Medicine Resource Function Henan ProvinceKaifeng 475004China Pakistan Agricultural Research Council Islamabad 450000Pakistan College of Physical Education Henan UniversityKaifeng 475004China

delphinium brunonianum Royle belongs to Ranunculaceae family and has the effects of dispelling wind to relieve itching and cooling blood to *** was found that the extracts of *** had good anticoagulant activity which was extracted with 70%ethanol in our previous ***,16 compounds were isolated and identified from the extract of ***,among which compounds 5,7-10,12,14,15-16 were isolated from this genus for the first time,and compounds 2-4 were isolated from this plant for the first *** the coagulation activity assay showed that compounds 10,14 and 15 had good anticoagulant activity by activated partial thromboplastin time(APTT),thrombin time(TT)and prothrombin time(PT)in vitro.

关键词： delphinium brunonianum Royle 9-Hydroxy-megastigma-4,7-dien-3-one-9-β-dglucopyranoside 4-O-α-d-Glucosyl benzoic acid Isolariciresinol 4-O-β-d-glucopyranoside Anticoagulant activity

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Enhancing alkyne semi-hydrogenation through engineering metal-support interactions of Pd on oxides

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Nano Research 2024年第5期17卷 3707-3713页

作者： Yuefeng Wu Xiaotong Lu Pengfei Cui Wenyu Jia Jun Zhou Yuan Wang hussain Zahid Yuxin Wu Muhammad Umer Rafique Xiong Yin Baoshan Li Leyu Wang Guolei Xiang State Key Laboratory of Chemical Resource Engineering Beijing University of Chemical TechnologyBeijing 100029China CAS Key Laboratory of Science and Technology on Applied Catalysis Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023China College of Chemical Engineering Beijing University of Chemical TechnologyBeijing 100029China

Supported Pd catalysts show superior activities for olefin productions from alkynes through semi-hydrogenation reactions,but over-hydrogenation into alkanes highly decreases olefin *** phenylacetylene semi-hydrogenation as a model reaction,here we explore the optimization approaches toward better Pd catalysts for alkyne semi-hydrogenation through investigating support effect and metal-support *** results show that the states of Pd with supports can be tuned by varying oxide reducibility,loading ratios,and *** our system,0.06 wt.%Pd on rutile-TiO_(2) nanorods shows the highest activity owing to the synergistic effects of single-atoms and *** reducibility can change the filling degrees of Pd 4d orbitals through varying interfacial bonding strengths,which further affect catalytic activity and selectivity.

关键词： alkyne semi-hydrogenation support effect metal-support interaction Pd catalyst single-atom catalyst

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Multifunctional MXene/Carbon Nanotube Janus Film for Electromagnetic Shielding and Infrared Shielding/detection in Harsh Environments

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Nano-Micro Letters 2024年第10期16卷 543-560页

作者： Tufail Hassan Aamir Iqbal Byungkwon Yoo Jun Young Jo Nilufer Cakmakci Shabbir Madad Naqvi Hyerim Kim Sungmin Jung Noushad hussain Ujala Zafar Soo Yeong Cho Seunghwan Jeong Jaewoo Kim Jung Min Oh Sangwoon Park Youngjin Jeong Chong Min Koo School of Advanced Materials Science and Engineering Sungkyunkwan UniversitySeobu-ro 2066Jangan-guSuwon-siGyeonggi-do 16419Republic of Korea department of Materials Science and Engineering Soongsil UniversitySeoul 06978Republic of Korea Institute of Advanced Composite Materials Korea Institute of Science and Technology92 Chudong-roBongdong-eupWanju-gunJeollabuk-do 55324Republic of Korea R&d Center INNOMXENE Co. Ltd.Daejeon 34365Republic of Korea School of Chemical Engineering Sungkyunkwan UniversitySeobu-ro 2066Jangan-guSuwon-siGyeonggi-do 16419Republic of Korea

Multifunctional,flexible,and robust thin films capable of operating in demanding harsh temperature environments are crucial for various cutting-edge *** study presents a multifunctional Janus film integrating highly-crystalline Ti_(3)C_(2)T_(x) MXene and mechanically-robust carbon nanotube(CNT)film through strong hydrogen *** hybrid film not only exhibits high electrical conductivity(4250 S cm^(-1)),but also demonstrates robust mechanical strength and durability in both extremely low and high temperature environments,showing exceptional resistance to thermal *** hybrid Janus film of 15μm thickness reveals remarkable multifunctionality,including efficient electromagnetic shielding effectiveness of 72 dB in X band frequency range,excellent infrared(IR)shielding capability with an average emissivity of 0.09(a minimal value of 0.02),superior thermal camouflage performance over a wide temperature range(−1 to 300℃)achieving a notable reduction in the radiated temperature by 243℃ against a background temperature of 300℃,and outstanding IR detection capability characterized by a 44%increase in resistance when exposed to 250 W IR *** multifunctional MXene/CNT Janus film offers a feasible solution for electromagnetic shielding and IR shielding/detection under challenging conditions.

关键词： MXene/carbon nanotube Janus film Electromagnetic interference shielding Infrared shielding Thermal camouflage Infrared detection

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