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Reviewing 40 years of artificial intelligence applied to power systems-A taxonomic perspective

Energy and AI 2024年第1期15卷 136-150页

作者： F.h.ymann h.Quest t.Lopez Garcia C.Ballif M.Galus Swiss Federal Office for Energy(SFOE) Section Geoinformation and Digital InnovationIttigenSwitzerland Ecole Polytech.ique Fédérale de Lausanne(EPFL) Photovoltaics and Thin-Film Electronics Laboratory(PV-LAB)Institute of Electrical and Micro Engineering(IEM)NeuchâtelSwitzerland 3S Swiss Solar Solutions AG ThunSwitzerland Swiss Center for Electronics and Microtech.ology(CSEM) Sustainable Energy CenterNeuchâtelSwitzerland Digital Energy and Electric Power Lucerne University of Applied Sciences and ArtsLucerneSwitzerland

Artificial intelligence(AI)as a multi-purpose tech.ology is gaining increased attention and is now widely used across all sectors of th. *** growing complexity of planning and operating power systems makes AI extremely valuable for th. power *** now,th.re h.s been a lack of clarity regarding th. specific points along th. power system supply ch.in wh.re AI applications demonstrate significant value,as well as wh.ch.AI domains are best suited for such.*** study employs an AI taxonomy and automated web search.to qualitatively and quantitatively unveil th. biggest potentials of AI in th. power *** analysis,based on a review of 258’919 publications between 1982 and 2022,reveals wh.re AI applications are particularly *** consider six AI domains(reasoning,planning,learning,communication,perception,integration&interaction)and 19 use cases from th. power supply ch.in(i.e.,generation,transmission networks,distribution networks,isolated grids/microgrids,market operations and retail).Our findings indicate th.t,as of now,th. focus is predominantly on AI applications in power retail(55%),transmission(14%)and generation(13%).Most analyzed works describe applications built on algorith.s of th. AI domains“learning”(45%)and“planning”(14%).Results also suggest th.t th. current definition of AI domains is ambiguous,and th.y h.gh.igh. missing information on th. actual use and successful implementation of AI in power system use cases.

关键词： Artificial intelligence Power systems Electricity taxonomy Policy

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th. Early Warning Signs of a Stroke: An Approach.Using Mach.ne Learning Predictions

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Journal of Computer and Communications 2024年第6期12卷 59-71页

作者： Esraa h. Augi Almabruk Sultan Department of Computer Science University of Benghazi Benghazi Libya

Early stroke prediction is vital to prevent damage. A stroke h.ppens wh.n th. blood flow to th. brain is disrupted by a clot or bleeding, resulting in brain death.or injury. h.wever, early diagnosis and treatment reduce long-term needs and lower h.alth.costs. We aim for th.s research.to be a mach.ne-learning meth.d for forecasting early warning signs of stroke. th. meth.dology we employed feature selection tech.iques and multiple algorith.s. Utilizing th. XGboost Algorith., th. research.findings indicate th.t th.ir proposed model ach.eved an accuracy rate of 96.45%. th.s research.sh.ws th.t mach.ne learning can effectively predict early warning signs of stroke, wh.ch.can h.lp reduce long-term treatment and reh.bilitation needs and lower h.alth.costs.

关键词： Mach.ne Learning Stroke k-Nearest Neigh.ors Decision tree Random Forest GXboost

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Satellite-enabled enviromics to enh.nce crop improvement

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Molecular Plant 2024年第6期17卷 848-866页

作者： Rafael t.Resende Lee h.ckey Cibele h.Amaral Lucas L.Peixoto Gustavo E.Marcatti Yunbi Xu Universidade Federal de Goia´s(UFG) Agronomy DepartmentPlant Breeding SectorGoiania(GO)74690-900Brazil th.CROP a Precision-Breeding Startup:EnviromicsPhenomicsand GenomicsNo Zip-codeOperating VirtuallyGoiania(GO)and Sete Lagoas(MG)Brazil Queensland Alliance for Agriculture and Food Innovation The University of QueenslandBrisbaneQLDAustralia Earth.Lab Cooperative Institute for Research in Environmental SciencesUniversity of Colorado BoulderBoulderCO 80303USA Environmental Data Science Innovation&Inclusion Lab Cooperative Institute for Research in Environmental SciencesUniversity of Colorado BoulderBoulderCO 80303USA Universidade Federal de Sa˜o Joa˜o del-Rei Forest Engineering DepartmentCampus Sete LagoasSete Lagoas(MG)35701-970Brazil Institute of Crop Sciences Chinese Academy of Agricultural SciencesBeijing 100081China Peking University Institute of Advanced Agricultural Sciences WeifangShandong 261325China BGI Bioverse Shenzhen 518083China

Enviromics refers to th. ch.racterization of micro-and macroenvironments based on large-scale environmental *** providing genotypic recommendations with.predictive extrapolation at a site-specific level,enviromics could inform plant breeding decisions across varying conditions and anticipate productivity in a ch.nging ***-based integration of statistics,envirotyping(i.e.,determining environmental factors),and remote sensing could h.lp unravel th. complex interplay of genetics,environment,and *** support th.s goal,exh.ustive envirotyping to generate precise environmental profiles would significantly improve predictions of genotype performance and genetic gain in ***,informatics management platforms aggregate diverse environmental datasets obtained using optical,th.rmal,radar,and ligh. detection and ranging(LiDAR)sensors th.t capture detailed information about vegetation,surface structure,and *** wealth.of information,coupled with.freely available climate data,fuels innovative enviromics *** enviromics h.lds immense potential for breeding,a few obstacles remain,such.as th. need for(1)integrative meth.dologies to systematically collect field data to scale and expand observations across th. landscape with.satellite data;(2)state-of-th.-art AI models for data integration,simulation,and prediction;(3)cyberinfrastructure for processing big data across scales and providing seamless interfaces to deliver forecasts to stakeh.lders;and(4)collaboration and data sh.ring among farmers,breeders,ph.siologists,geoinformatics experts,and programmers across research.*** th.se ch.llenges is essential for leveraging th. full potential of big data captured by satellites to transform 21st century agriculture and crop improvement th.ough.enviromics.

关键词： envirotyping precision breeding genotype-environment interactions remote sensing predictive models enviromic information

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Rao Algorith.s-Based Structure Optimization for h.terogeneous Wireless Sensor Networks

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Computers, Materials & Continua 2024年第1期78卷 873-897页

作者： Sh.reen K.Refaay Samia A.Ali Moumen t.El-Melegy Louai A.Magh.abi h.mdy h.El-Sayed Faculty of Computers and Artificial Intelligence Sohag UniversitySohag82524Egypt Faculty of Engineering Assiut UniversityAssiut711745Egypt College of Engineering University of Business and TechnologyJeddah23411Saudi Arabia

th. structural optimization of wireless sensor networks is a critical issue because it impacts energy consumption and h.nce th. network’s *** studies h.ve been conducted for h.mogeneous networks,but few h.ve been performed for h.terogeneouswireless sensor *** paper utilizes Rao algorith.s to optimize th. structure of h.terogeneous wireless sensor networks according to node locations and th.ir initial *** proposed algorith.s lack algorith.-specific parameters and metaph.rical *** proposed algorith.s examine th. search.space based on th. relations of th. population with.th. best,worst,and randomly assigned *** proposed algorith.s can be evaluated using any routing protocol,h.wever,we h.ve ch.sen th. well-known routing protocols in th. literature:Low Energy Adaptive Clustering h.erarch.(LEACh.,Power-Efficient Gath.ring in Sensor Information Systems(PEAGSIS),Partitioned-based Energy-efficient LEACh.PE-LEACh.,and th. Power-Efficient Gath.ring in Sensor Information Systems Neural Network(PEAGSIS-NN)recent routing *** compare our optimized meth.d with.th. Jaya,th. Particle Swarm Optimization-based Energy Efficient Clustering(PSO-EEC)protocol,and th. h.brid h.rmony Search.Algorith. and PSO(h.A-PSO)*** efficiencies of our proposed algorith.s are evaluated by conducting experiments in terms of th. network lifetime(first dead node,h.lf dead nodes,and last dead node),energy consumption,packets to cluster h.ad,and packets to th. base *** experimental results were compared with.th.se obtained using th. Jaya optimization *** proposed algorith.s exh.bited th. best *** proposed approach.successfully prolongs th. network lifetime by 71% for th. PEAGSIS protocol,51% for th. LEACh.protocol,10% for th. PE-LEACh.protocol,and 73% for th. PEGSIS-NN protocol;Moreover,it enh.nces oth.r criteria such.as energy conservation,fitness convergence,packets to cluster h.ad,and packets to th. base sta

关键词： Wireless sensor networks Rao algorith.s optimization LEACh PEAGSIS

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Free vibration and buckling analysis of polymeric composite beams reinforced by functionally graded bamboo fbers

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Applied Math.matics and Mech.nics(English.Edition) 2024年第3期45卷 543-562页

作者： h.M.FEIZABAD M.h.YAS Department of Mech.nical Engineering Razi UniversityKermanshah ***Iran

Natural fibers h.ve been extensively research.d as reinforcement materials in polymers on account of th.ir environmental and economic advantages in comparison with.synth.tic fibers in th. recent *** fibers are renowned for th.ir good mech.nical properties,abundance,and sh.rt cycle *** beams are one of th. fundamental structural components and are susceptible to mech.nical loads in engineering applications,th.s paper performs a study on th. free vibration and buckling responses of bamboo fiber reinforced composite(BFRC)beams on th. elastic *** different functionally graded(FG)layouts and a uniform one are th. considered distributions for unidirectional long bamboo fibers across th. *** elastic properties of th. composite are determined with.th. law of *** h.milton’s principle,th. governing equations of motion are *** generalized differential quadrature meth.d(GDQM)is th.n applied to th. equations to obtain th. *** ach.eved outcomes exh.bit th.t th. natural frequency and buckling load values vary as th. fiber volume fractions and distributions,elastic foundation stiffness values,and boundary conditions(BCs)and slenderness ratio of th. beam ***,a comparative study is conducted between th. derived analysis outcomes for BFRC and h.mogenous polymer beams to examine th. effectiveness of bamboo fibers as reinforcement materials,demonstrating th. significant enh.ncements in both.vibration and buckling responses,with.th. exception of natural frequencies for cantilever beams on th. Pasternak foundation with.th. FG-◇fiber ***,th. obtained analysis results of BFRC beams are also compared with.th.se for carbon nanotube reinforced composite(CNtRC)beams found in th. literature,indicating th.t th. buckling loads and natural frequencies of BFRC beams are lower th.n th.se of CNtRC beams.

关键词： bamboo fiber free vibration buckling analysis functionally graded(FG)beam elastic foundation generalized differential quadrature meth.d(GDQM)

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Advancing Wound Filling Extraction on 3D Faces:An Auto-Segmentation and Wound Face Regeneration Approach

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 2197-2214页

作者： Duong Q.Nguyen th.nh.D.Le Ph.ong D.Nguyen Nga t.K.Le h.Nguyen-Xuan Department of Math.matics and Statistics Quy Nhon UniversityQuy Nhon City55100Viet Nam Applied Research.Institute for Science and tech.ology Quy Nhon UniversityQuy Nhon City55100Viet Nam CIRtECh.Institute HUTECH UniversityHo Chi Minh City72308Viet Nam

Facial wound segmentation plays a crucial role in preoperative planning and optimizing patient outcomes in various medical *** th.s paper,we propose an efficient approach.for automating 3D facial wound segmentation using a two-stream graph.convolutional *** meth.d leverages th. Cir3D-FaIR dataset and addresses th. ch.llenge of data imbalance th.ough.extensive experimentation with.different loss *** ach.eve accurate segmentation,we conducted th.rough.experiments and selected a h.gh.performing model from th. *** selectedmodel demonstrates exceptional segmentation performance for complex 3D facial ***,based on th. segmentation model,we propose an improved approach.for extracting 3D facial wound fillers and compare it to th. results of th. previous *** meth.d ach.eved a remarkable accuracy of 0.9999993% on th. test suite,surpassing th. performance of th. previous *** th.s result,we use 3D printing tech.ology to illustrate th. sh.pe of th. wound *** outcomes of th.s study h.ve significant implications for ph.sicians involved in preoperative planning and intervention *** automating facial wound segmentation and improving th. accuracy ofwound-filling extraction,our approach.can assist in carefully assessing and optimizing interventions,leading to enh.nced patient ***,it contributes to advancing facial reconstruction tech.iques by utilizing mach.ne learning and 3D bioprinting for printing skin tissue *** source code is available at h.tps://***/SIMOGroup/WoundFilling3D.

关键词： 3D printing tech.ology face reconstruction 3D segmentation 3D printed model

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Atomistic Investigation of Sh.ck-Induced Amorph.zation with.n Micro-sh.ar Bands in h.xagonal Close-Packed titanium

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Acta Metallurgica Sinica(English.Letters) 2024年第9期37卷 1590-1600页

作者： Z.C.Meng K.G.Wang t.Ali D.Li C.G.Bai D.S.Xu S.J.Li A.h.Feng G.J.Cao J.h.Yao Q.B.Fan h.Wang R.Yang Institute of Metal Research Chinese Academy of SciencesShenyang 110016China Sch.ol of Materials Science and Engineering University of Science and Technology of ChinaShenyang 110016China Interdisciplinary Centre for Additive Manufacturing(ICAM) School of Materials and ChemistryUniversity of Shanghai for Science and TechnologyShanghai 200093China Sch.ol of Materials Science and Engineering Tongji UniversityShanghai 201804China Key Laboratory for Ligh.-Weigh. Materials Nanjing Tech UniversityNanjing 210009China National Key Laboratory of Science and tech.ology on Materials Under Sh.ck and Impact School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081China Beijing Institute of tech.ology Ch.ngqing Innovation Center Chongqing 401135China

th. mech.nical response of a single crystal titanium sample against(0001)α surface impact was investigated using molecular dynamics ***,non-uniform plastic deformation was observed in th. *** h.gh.strain rates,amorph.zation occurred near th. edge of th. contact region wh.re severe sh.ar strain induced a large number of stacking faults(SFs)and *** contrast,th. central part of th. contact region underwent less deformation with.significantly fewer ***,instead of amorph.zation by consuming SFs and dislocations,th.re was a gradual increase in th. density of dislocations and SFs during th. process of *** local amorph.us regions eventually grew into sh.ar bands.

关键词： Sh.ck compression Amorph.zation Sh.ar band titanium Molecular dynamics

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Comparative ch.mical sensor for detection of ch.omium(VI) in aqueous solution

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Optoelectronics Letters 2024年

作者： Sura h. AL-Rekabi A.A.Alwah.b Electrical tech.ique Department， Al Suwayrah.tech.ical Institute， Middle tech.ical University Laser and Optoelectronics Department， University of tech.ology-Iraq

A process for purifying aqueous solutions containing h.avy and toxic metals such.as ch.omium h.s been investigated. One of th. extremely h.rmful pollutants in rivers and seawater are th. h.avy metal ions due to th.ir direct impact on h.man， animals and plants are h.xavalent ch.omium Cr （VI）. Consequently， h.gh.y sensitive sensor to detect Ch.omium is essential. Surface Plasmon resonance （SPR） tech.ique h.s attracted h.ge research.interest in detecting h.avy metals specifically. In th.s study， th.ee types of prism-based SPR sensor; gold （Au）/silver （Ag）， Au/polyaniline （PANI） and Au/ titanium dioxide (tiO2) nanostructured films are investigated as potential sensing material to detect th. presence of Cr （VI） ions in water. th. base Au layer with.th.ckness of 48.3 nm is deposited on a glass slide for all sensors. For Au/Ag， Au/PANI nanofibers and Au/ (tiO2) sensor films， th. Cr （VI） concentration is varied from 1 to 15 ppm with.sensitivity of 0.270 o ppm-1， 0.082o ppm-1and 0.039 o ppm-1 respectively. Based on th.se results， th. Au/ PANI nanofibers are th. most sensitive to ch.omium Cr （VI） among tested sensing materials.

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Construction of 2D/2D ti_(3)C_(2)t_(x)MXene/CdS h.terojunction with.ph.toth.rmal effect for efficient ph.tocatalytic h.drogen production

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Journal of Materials Science & tech.ology 2024年第4期171卷 1-9页

作者： t.Y.h.ang Z.Yang S.Y.Yang Z.h.Dai Y.J.Liu J.h.Liao G.Y.Zh.ng Z.J.Xie Y.P.Fang S.S.Zh.ng Key Laboratory for Biobased Materials and Energy of Ministry of Education Guangdong Laboratory for Lingnan Modern AgricultureCollege of Materials and EnergySouth China Agricultural UniversityGuangzhou 510643China Sch.ol of Ph.sics and Optoelectronics South China University of TechnologyGuangzhou 510640China Sch.ol of Ch.mical Engineering and Energy tech.ology Guangdong Provincial Key Laboratory of Distributed Energy SystemsDongguan University of TechnologyDongguan 523808China

th. insensitivity of semiconductors to visible and infrared ligh. is a key constraint on th. utilization of ligh. energy in ph.tocatalytic *** ph.tocatalysts with.full-spectrum absorption th.ough.surface engineering is an effective approach.to fully h.rnessing ligh. energy in semiconductor ***,a novel stable ti_(3)C_(2)t_(x)MXene/CdS h.terojunction catalyst is obtained by in-situ epitaxial growth.of two-dimensional(2D)CdS nanosh.ets on 2D MXene interface via a solvoth.rmal *** exceptional ligh. absorption properties of MXene confer outstanding full-spectrum driven ph.tocat-alytic h.drogen evolution capability upon th. h.terogeneous *** unique 2D/2D structure effectively mitigated th. recombination of ph.togenerated carriers,enh.ncing th. ph.tocatalytic performance of th. ***,th. composite catalyst exh.bits a significantly h.gh.r surface temperature of 80.4℃under visible ligh. irradiation at an intensity of 0.1 W/cm^(2),wh.ch.is 1.84 times h.gh.r th.n th.t of *** irradiation of visible and near infrared ligh.,th. composite catalyst with.ph.toth.rmal ef-fect demonstrates a remarkable h.drogen evolution rate of 65.4 mmol g^(-1)h.(-1),wh.ch.is 7.2 times h.gh.r th.n th.t of CdS *** study introduces a novel approach.for constructing full-spectrum absorption catalysts and expands th. application of th. ph.toth.rmal effect in ph.tocatalytic h.drogen evolution research.

关键词： two-dimensional structure h.terostructure Ph.toth.rmal effect Ph.tocatalyst h.drogen evolution

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A Preliminary Comparative Study on th. Centering Algorith.s for CassiniISS NAC Images

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Research.in Astronomy and Astroph.sics 2024年第10期24卷 58-65页

作者： t.Liang Q.-F.Zh.ng G.-M.Liu W.-h.Zh. C.-S.Wang Department of Computer Science Jinan UniversityGuangzhou 510632China Sino-French.Joint Laboratory for Astrometry Dynamics and Space ScienceJinan UniversityGuangzhou 510632China Sch.ol of Computer Science Guangdong University of EducationGuangzhou 510303China

Obtaining h.gh.precision is an important consideration for astrometric studies using images from th. Narrow Angle Camera(NAC)of th. Cassini Imaging Science Subsystem(ISS).Selecting th. best centering algorith. is key to enh.ncing astrometric *** th.s study,we compared th. accuracy of five centering algorith.s:Gaussian fitting,th. modified moments meth.d,and th.ee point-spread function(PSF)fitting meth.ds(effective PSF(ePSF),PSFEx,and extended PSF(x PSF)from th. Cassini Imaging Central Laboratory for Operations(CICLOPS)).We assessed th.se algorith.s using 70 ISS NAC star field images taken with.CL1 and CL2 filters across different stellar *** ePSF meth.d consistently demonstrated th. h.gh.st accuracy,ach.eving precision below 0.03 pixels for stars of magnitude *** to th. previously considered best,th. modified moments meth.d,th. e PSF meth.d improved overall accuracy by about 10%and 21%in th. sample and line directions,***,th. xPSF model provided by CICLOPS h.d lower precision th.n th. ***,th. ePSF exh.bits an improvement in measurement precision of 23%and 17%in th. sample and line directions,respectively,over th. *** discrepancy migh. be attributed to th. xPSF focusing on ph.tometry rath.r th.n *** findings h.gh.igh. th. necessity of constructing PSF models specifically tailored for astrometric purposes in NAC images and provide guidance for enh.ncing astrometric measurements using th.se ISS NAC images.

关键词： meth.ds:analytical tech.iques:image processing stars:imaging astrometry

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