01277nam0 2200301 i 450 SUN011894120181214105753.8660.00N978-3-319-97079-020181214d2018 |0engc50 baengCH|||| |||||*Free boundary problemsregularity properties near the fixed boundaryDarya Apushkinskaya[Cham] : Springer, 2018XVII144 p.ill. ; 24 cmPubblicazione in formato elettronico001SUN01022502001 *Lecture notes in mathematics2218210 Berlin [etc.]Springer1964-215 Dal 2011 i volumi sono disponibili in formato elettronico.35R35Free boundary problems for PDEs [MSC 2020]MFSUNC020050CHChamSUNL001889Apushkinskaya, DariaSUNV091360760811SpringerSUNV000178650ITSOL20201019RICAhttp://doi.org/10.1007/978-3-319-97079-0SUN0118941UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08CONS e-book 08LNM2218 20181214 Free boundary problems1539993UNICAMPANIA06223nam 2201585z- 450 991055736070332120220111(CKB)5400000000042285(oapen)https://directory.doabooks.org/handle/20.500.12854/76767(oapen)doab76767(EXLCZ)99540000000004228520202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAdvanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor EnvironmentsBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (454 p.)3-0365-1268-3 3-0365-1269-1 Recent years have seen a vast development in various methodologies for object detection and feature extraction and recognition, both in theory and in practice. When processing images, videos, or other types of multimedia, one needs efficient solutions to perform fast and reliable processing. Computational intelligence is used for medical screening where the detection of disease symptoms is carried out, in prevention monitoring to detect suspicious behavior, in agriculture systems to help with growing plants and animal breeding, in transportation systems for the control of incoming and outgoing transportation, for unmanned vehicles to detect obstacles and avoid collisions, in optics and materials for the detection of surface damage, etc. In many cases, we use developed techniques which help us to recognize some special features. In the context of this innovative research on computational intelligence, the Special Issue "Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments" present an excellent opportunity for the dissemination of recent results and achievements for further innovations and development. It is my pleasure to present this collection of excellent contributions to the research community. - Prof. Marcin Woźniak, Silesian University of Technology, Poland -Information technology industriesbicssc3D convolutional neural networks3D imagingactivity measureadvanced driver assistance system (ADAS)anchor boxartefactsartificial bee colonyatrous convolutionaugmented realityautomatic designbenchmarkbio-inspired techniquesbrain hemorrhagecascade classifiercascaded center-nesscitrusCNNcomplex search requestcomputer visioncontinuous castingconvolution neural networks (CNNs)convolutional neural networkconvolutional neural networkscross-scaleCT brainCT imagesdata acquisitiondeep learningdeep sortdefect detectiondeformable localizationdrone detectionevidence chainsevolving connectionist systemsfabric defectfeature extractionfeature fusionfew shot learningfocal lossgenerative adversarial networkgrow-when-required neural networkhand gesture recognitionhepatic cancerhigh-speed trainshuman-robot interactionHungarian algorithmhuntingimage analysisimage processingimage recognitionindustrial environmentsinformation retriever sensorInSARmachine learningmarine systemsmixed kernelsmulti-hop reasoningmulti-scalemulti-sensor fusionn/anearest neighbor filteringneural networknon-stationaryobject detectionobject detectorobject trackingone-class classifieroptical flowsparameter efficiencypests and diseases identificationpixel convolutionpose estimationreinforcement learningRFIsemantic segmentationship classificationship radiated noisespatial poolingspatiotemporal interest pointssports scenesuperalloy toolsurface defectssurface electromyography (sEMG)SVMsynthetic imagesthree-dimensional (3D) visionthresholdingtool wear monitoringTraffic sign detection and tracking (TSDR)UAV detectionUAV imageryunderwater acousticsunmanned aerial vehiclesvehicle detectionvehicular traffic congestionvehicular traffic flow classificationvehicular traffic flow detectionvideo classificationvideo surveillancevisual detectionvisual inspectionvisual question answeringYoloYOLOv2Information technology industriesWoźniak Marcinedt1303762Woźniak MarcinothBOOK9910557360703321Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments3027189UNINA04934nam 2201297z- 450 991055714240332120250828220830.0(CKB)5400000000040634(oapen)https://directory.doabooks.org/handle/20.500.12854/68264(oapen)doab68264(EXLCZ)99540000000004063420202105d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierQuantum Transport in Mesoscopic SystemsBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (426 p.)3-03943-366-0 3-03943-367-9 Mesoscopic physics deals with systems larger than single atoms but small enough to retain their quantum properties. The possibility to create and manipulate conductors of the nanometer scale has given birth to a set of phenomena that have revolutionized physics: quantum Hall effects, persistent currents, weak localization, Coulomb blockade, etc. This Special Issue tackles the latest developments in the field. Contributors discuss time-dependent transport, quantum pumping, nanoscale heat engines and motors, molecular junctions, electron-electron correlations in confined systems, quantum thermo-electrics and current fluctuations. The works included herein represent an up-to-date account of exciting research with a broad impact in both fundamental and applied topics.Technology: general issuesbicsscadiabatic quantum motorsadiabatic quantum pumpsAnreev reflectionBoltzmann transport equationcharge and heat fluctuationsComplementary Metal Oxide Semiconductor (CMOS) technologyconditional statesconditional wavefunctioncoulomb blockadedensity-functional tight bindingdynamics of strongly correlated quantum systemselectron quantum opticselectron-electron interactionselectron-phonon couplingelectron-photon couplingelectron-vibration interactionselectronic transportentropy productionfluctuation-dissipation theoremfluctuationsgeometric phasegraphene nanoribbonsgreen's functionsheat enginesheat transportinterferometerkondo effectKondo effectLandauer approach, time-dependent transportLandauer-Büttiker formalismlocal fermi liquidsMarkovian and Non-Markovian dynamicsmesoscale and nanoscale physicsmesoscopic physicsmesoscopic systemsmolecular junctionsnanophysicsnanostructured materialsnonadiabaticitynonequilibrium Green's functionnonlinear transportOnsager relationsopen quantum systemspersistent currentphonon transportphoto-assisted noisequantum adiabatic pumpquantum capacitorquantum dotsquantum electron transportquantum heat enginesquantum heat pumpingquantum informationquantum interferencequantum noisequantum pumpingquantum refrigeratorsquantum thermodynamicsquantum transportrelaxationRenyi entropyshot noisespin polarizationspin pumpspin pumpingspin-orbit interactionsteady-state dynamicsstochastic Schrödinger equationstrongly correlated systemssuperconducting proximity effectthermal transportthermodynamic uncertainty relationsthermoelectric propertiesthermoelectricitythermoelectricstime evolutiontime-dependent density functional theorytime-dependent transporttransport through quantum dotsTechnology: general issuesSánchez Davidedt1314806Moskalets Michael VedtSánchez DavidothBOOK9910557142403321Quantum Transport in Mesoscopic Systems3031989UNINA