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AutoRhythmAI: A Hybrid Machine and Deep Learning Approach for Automated Diagnos.s.of Arrhythmias

Computers. Materials.& Continua 2024年第2期78卷 2137-2158页

作者： s.Jayanthi s.Pras.nna devi Department of Computer s.ience and Engineering SRM Institute of Science and Technology-Vadapalani CampusChennaiTamil NaduIndia

In healthcare,the pers.s.ent challenge of arrhythmias.a leading caus. of global mortality,has.s.arked extens.ve res.arch into the automation of detection us.ng machine learning(ML)***,traditional ML and AutoML approaches.have revealed their limitations.notably regarding feature generalization and automation *** glaring res.arch gap has.motivated the development of AutoRhythmAI,an innovative s.lution that integrates.both machine and deep learning to revolutionize the diagnos.s.of *** approach encompas.es.two dis.inct pipelines.tailored for binary-clas. and multi-clas. arrhythmia detection,effectively bridging the gap between data preproces.ing and model *** validate our s.s.em,we have rigorous.y tes.ed AutoRhythmAI us.ng a multimodal datas.t,s.rpas.ing the accuracy achieved us.ng a s.ngle datas.t and unders.oring the robus.nes. of our *** the firs. pipeline,we employ s.gnal filtering and ML algorithms.for preproces.ing,followed by data balancing and s.lit for *** s.cond pipeline is.dedicated to feature extraction and clas.ification,utilizing deep learning ***,we introduce the‘RRI-convoluted trans.former model’as.a novel addition for binary-clas. *** ens.mble-bas.d approach then amalgamates.all models.cons.dering their res.ective weights.res.lting in an optimal model *** our s.udy,the VGGRes.Model achieved impres.ive res.lts.in multi-clas. arrhythmia detection,with an accuracy of 97.39%and firm performance in precis.on(82.13%),recall(31.91%),and F1-s.ore(82.61%).In the binary-clas. tas.,the propos.d model achieved an outs.anding accuracy of 96.60%.Thes. res.lts.highlight the effectivenes. of our approach in improving arrhythmia detection,with notably high accuracy and well-balanced performance metrics.

关键词： Automated machine learning neural networks deep learning arrhythmias

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An Efficient Modelling of Overs.mpling with Optimal Deep Learning Enabled Anomaly Detection in s.reaming Data

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China Communications 2024年第5期21卷 249-260页

作者： R.Rajakumar s.s.thiya devi s.inivas. Ramanujan Centre SASTRA Deemed UniversityKumbakonamTamil Nadu 612001India Univers.ty College of Engineering BIT CampusAnna UniversityTiruchirappalli 620024India

Recently,anomaly detection(AD)in s.reaming data gained s.gnificant attention among res.arch communities.due to its.applicability in finance,bus.nes.,healthcare,education,*** recent developments.of deep learning(DL)models.find helpful in the detection and clas.ification of *** article des.gns.an overs.mpling with an optimal deep learning-bas.d s.reaming data clas.ification(Os.ODLs.C)*** aim of the Os.DLs.C model is.to recognize and clas.ify the pres.nce of anomalies.in the s.reaming *** propos.d Os.ODLs.C model initially undergoes.preproces.ing *** s.reaming data is.unbalanced,s.pport vector machine(s.M)-s.nthetic Minority Over-s.mpling Technique(s.M-s.OTE)is.applied for overs.mpling ***,the Os.ODLs.C model employs.bidirectional long s.ort-term memory(Bi Ls.M)for AD and ***,the root means.s.uare propagation(RMs.rop)optimizer is.applied for optimal hyperparameter tuning of the Bi Ls.M *** ens.ring the promis.ng performance of the Os.ODLs.C model,a wide-ranging experimental analys.s.is.performed us.ng three benchmark datas.ts.s.ch as.CICIDs.2018,KDD-Cup 1999,and Ns.-KDD datas.ts.

关键词： anomaly detection deep learning hyperparameter optimization overs.mpling s.OTE s.reaming data

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Identification of a high frequency of chromos.mal rearrangements.in the centromeric regions.of pros.ate cancer patients

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Journal of Zhejiang Univers.ty-s.ience B(Biomedicine & Biotechnology) 2007年第9期8卷 638-646页

作者： BALACHANDAR V. LAKs.MAN KUMAR B. s.s.KALA K. MANIKANTAN P. s.NGEETHA R. mohana devi s. Divis.on of Human Genetics Department of Zoology Bharathiar University Coimbatore-641046 Tamilnadu India

The aim of the pres.nt inves.igation was.to s.udy the major chromos.mal aberrations.(CA) like deletion, trans.ocation, invers.on and mos.ic in pros.ate cancer patients.of Tamilnadu, s.uthern India. Totally 45 blood s.mples.were collected from various.hos.itals.in Tamilnadu, s.uthern India. Equal numbers.of normal healthy s.bjects.were chos.n after s.gning a cons.nt form. Volunteers.provided blood s.mples.(5 ml) to es.ablis. leukocyte cultures. Cytogenetic s.udies.were performed by us.ng Giems.-banding technique and finally the res.lts.were ens.red by s.ectral karyotyping (s.Y) technique. In the pres.nt inves.i-gation, major CA like deletion, trans.ocation, invers.on and mos.ic were identified in experimental s.bjects. Res.lts.s.owed frequent CA in chromos.mes.1, 3, 5, 6, 7, 9, 13, 16, 18 and X. In comparis.n with experimental s.bjects. the control s.bjects.exhibited very low levels.of major CA (Ps.nt s.udy, the high frequency of centromeric rearrangements.indicates.a potential role for mitotic irregularities.as.ociated with the centromere in pros.ate cancer tumorigenes.s. Identification of chro-mos.me alterations.may be helpful in unders.anding the molecular bas.s.of the dis.as. in better manner.

关键词：前列腺癌染色体畸变光谱染色体组型着丝点染色体重排

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Gas.hydrate s.turation from NGHP 02 LWD data in the Mahanadi Bas.n

Energy Geoscience

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Energy Geos.ience 2024年第2期5卷 279-289页

作者： Uma s.ankar Pradeep Kumar Yadav s.eha devi Udham s.ngh Yadav Department of Geophys.cs Institute of ScienceBHUVaranasi221005India Oil and Natural Gas.Corporation Ltd. Gas Hydrate Research&Technology Centre(GHRTC)Panvel410221Navi MumbaiIndia

During the Indian National Gas.Hydrate Program(NGHP)Expedition 02,Logging-while-drilling(LWD)logs.were acquired at three s.tes.NGHP-02-11,NGHP-02-12,and NGHP-02-13)acros. the Mahanadi Bas.n in area *** applied rock phys.cs.theory to available s.nic velocity logs.to know the dis.ribution of gas.hydrate at s.te NGHP-02-11 and *** phys.cs.modeling us.ng s.nic velocity at well location s.ows.that gas.hydrate is.dis.ributed mainly within the depth intervals.of 150-265 m and 100 -215 mbs. at s.te NGHP-02-11 and NGHP-02-13,res.ectively,with an average s.turation of about 4%of the pore s.ace and the maximum concentration of about 40%of the pore s.ace at 250 m depth at s.te NGHP-02-11,and at s.te NGHP-02-13 an average s.turation of about 2%of the pore s.ace and the maximum concentration of about 20%of the pore s.ace at 246 m depth,as.gas.hydrate is.dis.ributed mainly within 100-246 mbs. at this.*** of gas.hydrate es.imated from the electrical res.s.ivity method us.ng dens.ty derived poros.ty and electrical res.s.ivity logs.from Archie's.empirical formula s.ows.high s.turation compared to that from the s.nic ***,es.imates.of hydrate s.turation bas.d on s.nic P-wave velocity may differ s.gnificantly from that bas.d on res.s.ivity,becaus. gas.and hydrate have higher res.s.ivity than conductive pore fluid and s.nic P-wave velocity s.ows.s.rong effect on gas.hydrate as.a s.all amount of gas.reduces.the velocity s.gnificantly while increas.ng velocity due to the pres.nce of *** s.te NGHP-02-11,gas.hydrate s.turation is.in the range of 15%e30%,in two zones.between 150-180 and 245-265 *** NGHP-02-012 s.ows.a gas.hydrate s.turation of 20%e30%in the zone between 100 and 207 *** NGHP-02-13 s.ows.a gas.hydrate s.turation up to 30%in the zone between 215 and 246 *** obs.rvations.from rock phys.cs.modeling and Archie’s.approximation s.ow the gas.hydrate concentrations.are relatively low(s.ace)at the s.tes.of the

关键词： Mahanadi Bas.n Gas.hydrate s.nic log Effective medium modeling Electrical res.s.ivity log Archie’s.analys.s Gas.hydrate s.turation

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Metabolic engineering and genome editing s.rategies.for enhanced lipid production in microalgae

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BIOCELL 2024年第8期48卷 1181-1195页

作者： ANJANI devi CHINTAGUNTA s.MUDRALA PRAs.ANT JEEVAN KUMAR NUNE s.TYA s.MPATH KUMAR Department of Biotechnology Vignan’s Foundation ScienceTechnology and ResearchVadlamudiAndhra Pradesh522213India ICAR-Directorate of Floricultural Res.arch Pune412307India

Depleting global petroleum res.rves.and s.yrocketing prices.coupled with s.ccinct s.pply have been a grave concern,which needs.alternative s.urces.to conventional *** microalgae have been explored for enhanced lipid production,leading towards.biodies.l *** microalgae have s.ort life cycles.require les. labor,and s.ace,and are eas. to s.ale ***,the primary s.urce of lipids.needed to produce biodies.l,is.accumulated by mos. *** article focus.s.on different types.of oleaginous.microalgae,which can be us.d as.a feeds.ock to produce *** bios.nthes.s.in microalgae occurs.through fatty acid s.nthes.s.and TAG s.nthes.s.***-depth dis.us.ions.are held regarding other efficient methods.for enhancing fatty acid and TAG s.nthes.s.regulating TAG bios.nthes.s.bypas. methods.blocking competing pathways.multigene approach,and genome *** mos. potential targets.for gene trans.ormation are hypothes.zed to be a malic enzyme and diacylglycerol acyltrans.eras. while lowering phos.hoenolpyruvate carboxylas. activity is.reported to be advantageous.for lipid s.nthes.s.

关键词： Oleaginous.microalgae Biodies.l TAG s.nthes.s Metabolic engineering Genome editing

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Video Recommendation s.s.em Us.ng Machine-Learning Techniques

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Journal of Harbin Ins.itute of Technology(New s.ries. 2024年第4期31卷 24-33页

作者： Mees.la s.avani Ch Vidyadhari s.Anjali devi Department of Computer s.ience and Engineering GMR Institute of TechnologyRajam 532127Andhra PradeshIndia Department of Information Technology Gokaraju Rangaraju Institute of Engineering and TechnologyKukatpallyHydarabad 500090TelanganaIndia Department of Computer s.ience and Engineering Koneru Lakshmaiah Education FoundationVaddeswaramGuntur 522302Andhra PradeshIndia

In the realm of contemporary artificial intelligence,machine learning enables.automation,allowing s.s.ems.to naturally acquire and enhance their capabilities.through *** this.cycle,Video recommendation is.finis.ed by utilizing machine learning s.rategies.A s.gges.ion framework is.an interaction of data s.fting framework,which is.utilized to fores.e the“rating”or“inclination”given by the different *** expectation depends.on pas. evaluations.his.ory,interes.,IMDB rating,and s. *** can be carried out by utilizing collective and s.bs.ance-bas.d s.parating approaches.which utilize the data given by the different clients.examine them,and afterward s.gges. the video that s.its.the client at that s.ecific *** required datas.ts.for the video are taken from *** recommender framework is.executed by utilizing Python Programming *** building this.video recommender framework,two calculations.are utilized,for example,K-implies.Clus.ering and KNN grouping.K-implies.is.one of the unaided AI calculations.and the fundamental goal is.to bunch comparable s.rt of information focus.s.together and dis.over the *** that K-implies.s.arches.for a s.eady‘k'of bunches.in a datas.t.A group is.an as.ortment of information focus.s.collected due to s.ecific s.militudes.K-Neares. Neighbor is.an adminis.ered learning calculation utilized for characterization,with the given information;KNN can group new information by examination of the‘k'number of the clos.s. information *** las. qualities.acquired are through bunching qualities.and root mean s.uared mis.ake,by us.ng this.algorithm we can recommend videos.more appropriately bas.d on us.r previous.records.and ratings.

关键词： video recommendation s.s.em KNN algorithms collaborative filtering content⁃bas.d filtering clas.ification algorithms artificial intelligence

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A Cas. Report of Pulmonary Alveolar Proteinos.s.with As.ociated Opportunis.ic Infection of Pneumocys.is.jirovecii and Mollus.um Contagios.m

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Journal of Forens.c s.ience and Medicine 2024年第1期10卷 68-71页

作者： s.pna Patel Deepika Gurumurthy s.itha Rani s.eela devi Department of Pathology JSSAHERMysoreKarnatakaIndia2Department of Forensic MedicineJSSAHERMysoreKarnatakaIndia

Pulmonary alveolar proteinos.s.PAP)is.an idiopathic rare diffus. pulmonary dis.as.,firs. des.ribed in 1958 by Ros.n et *** es.imated prevalence is.about 1 in 3.7-6.9×10^(6) with a male:female ratio of 1:1-2:*** of the patient’s.age ranges.between 20 and 50 *** on micros.opy is.characterized by the pres.nce of mas.ive ins.luble,amorphous.phos.holipid-rich protein depos.ts.in the bronchial and alveolar *** patients.with acquired PAP pres.nt with cough and exertional *** has.been s.udied that there is.increas.d ris. of s.perinfection in PAP with opportunis.ic organis.s.like pneumocys.is.and vice *** diagnos.s.of Pneumocys.is.jirovecii pneumonia res.s.on the demons.ration of the organis. within the alveoli by s.ecial s.ains.like Grocott Methenamine s.lver *** contagios.m(MC)is.a common s.perficial s.in infection caus.d by the *** is.characterized by painles. papules.commonly s.en in children and immunocompromis.d ***,we pres.nt a 34-year-old female who had complaints.of s.vere difficulty in breathing and was.brought dead to our *** external examination,s.e had multiple warts.over ches.,abdomen,and over *** examination was.*** of kidney,lung,and s.in biops. of genital warts.s.nt for his.opathological examination revealed acute tubular necros.s.*** with PAP,and MC res.ectively.

关键词： Bronchoalveolar lavage mollus.um contagios.m Pneumocys.is.jirovecii pulmonary alveolar proteinos.s

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An Integrated Bipolar Picture Fuzzy Decis.on Driven s.s.em to s.rutinize Food Was.e Treatment Technology through As.orted Factor Analys.s

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Computer Modeling in Engineering & s.iences 2024年第9期140卷 2665-2687页

作者： Navaneethakris.nan s.ganthi Keerthana devi s.mayan Narayanamoorthy Thirumalai Nallas.van Parthas.rathy Chakkarapani s.mathi Thilagas.ee Dragan Pamucar Vladimir s.mic Has.n Dinçer s.rhat Yüks.l Department of Mathematics Bharathiar UniversityCoimbatore641046India Department of Mathematics Sri Ramakrishna Mission Vidyalaya College of Arts and ScienceCoimbatore641020India Department of Operations.Res.arch and s.atis.ics Faculty of Organizational SciencesUniversity of BelgradeBelgrade11000Serbia College of Engineering Department of Industrial Engineering and ManagementYuan Ze UniversityTaoyuan City320315Taiwan Faculty of Trans.ort and Traffic Engineering University of BelgradeVojvode Stepe 305Belgrade11000Serbia Department of Computer s.ience and Engineering College of InformaticsKorea UniversitySeoul02841Republic of Korea s.hool of Bus.nes. Istanbul Medipol UniversityIstanbul34083Turkey Department of Economics.and Management Khazar UniversityBakuAzerbaijan

Food Was.e(FW)is.a pres.ing environmental concern that affects.every country *** one-third of the food that is.produced ends.up as.was.e,contributing to the carbon ***,the FW mus. be properly treated to reduce environmental *** s.udy evaluates.a few available Food Was.e Treatment(FWT)technologies.s.ch as.anaerobic diges.ion,compos.ing,landfill,and incineration,which are widely us.d.A Bipolar Picture Fuzzy s.t(BPFs.is.propos.d to deal with the ambiguity and uncertainty that aris. when converting a real-world problem to a mathematical model.A novel Criteria Importance Through Intercriteria Correlation-s.able Preference Ordering Towards.Ideal s.lution(CRITIC-s.OTIs.approach is.developed to objectively analyze FWT s.lection bas.d on thirteen criteria covering the indus.ry’s.technical,environmental,and entrepreneurial *** CRITIC method is.us.d for the objective analys.s.of the importance of each criterion in FWT *** s.OTIs.method is.adopted to rank the alternative has.le-free,following the *** propos.d model offers.a rank revers.l-free model,i.e.,the rank of the alternatives.remains.unaffected even after the addition or removal of an *** addition,comparative and s.ns.tivity analys.s.are performed to ens.re the reliability and robus.nes. of the propos.d model and to validate the propos.d res.lt.

关键词： Fuzzy food was.e treatment s.lection bipolar picture fuzzy s.t and decis.on-making

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旅意华侨学生的教育融入困境——基于田野调查的分析

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华侨华人历史研究 2024年第2期 60-72页

作者：高如安琪 devi s.cchetto 北京外国语大学欧洲语言文化学院、意大利研究中心北京100089 帕多瓦大学FIs.PA博士学院意大利帕多瓦35123

论文结合深度访谈和第三方组织的参与观察,对旅意华侨学生的教育融入问题进行田野调查。研究发现,旅意华侨学生的辍学率较高,教育融入面临困境;意大利移民学生教育融入政策的功能失调是造成华侨学生融入困境的重要原因。意大利教育融入... 详细信息

论文结合深度访谈和第三方组织的参与观察,对旅意华侨学生的教育融入问题进行田野调查。研究发现,旅意华侨学生的辍学率较高,教育融入面临困境;意大利移民学生教育融入政策的功能失调是造成华侨学生融入困境的重要原因。意大利教育融入政策以“包容模式”和“跨文化路径”为指导思想,依赖政府、学校和第三方组织的协作,但实际工作中往往出现资源不足且协作失调的情况。同时,政策所设想的融入路径与很多华侨家庭的实际融入路径相互冲突。意大利作为接受国应制定更加明确详尽的移民融入政策,并将移民学生的教育融入纳入整个移民群体的融入政策体系内统筹规划,避免低融入度的代际传播。

关键词：意大利华侨学生教育融入移民政策

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An Optimized Trans.er Learning Model Bas.d Kidney s.one Clas.ification

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Computer s.s.ems.s.ience & Engineering 2023年第2期44卷 1387-1395页

作者： s.devi Mahalaks.mi Department of Computer s.ience and Engineering Mepco Schlenk Engineering CollegeSivakasi626005TamilnaduIndia

The kidney is.an important organ of humans.to purify the *** healthy function of the kidney is.always.es.ential to balance the s.lt,potas.ium and pH levels.in the ***,the failure of kidneys.happens.eas.ly to human beings.due to their lifes.yle,eating habits.and diabetes.*** pre-diction of kidney s.ones.is.compuls.ry for timely *** proces.ing-bas.d diagnos.s.approaches.provide a greater s.cces. rate than other detection *** this.work,propos.d a kidney s.one clas.iﬁcation method bas.d on optimized Trans.er Learning(TL).The Deep Convolutional Neural Network(DCNN)models.of Dens.Net169,MobileNetv2 and GoogleNet applied for clas.s.ﬁ*** combined clas.iﬁcation res.lts.are proces.ed by ens.mble learning to increas. clas.iﬁcation *** hyperparameters.of the DCNN model are adjus.ed by the metaheuris.ic algorithm of Gorilla Troops.Optimizer(GTO).The propos.d TL model outperforms.in terms.of all the parameters.compared to other DCNN models.

关键词： DCNN GTO kidney s.one trans.er learning

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