03440nam 22007215 450 991100146270332120250506074726.0981-9634-98-910.1007/978-981-96-3498-9(CKB)38753324300041(DE-He213)978-981-96-3498-9(MiAaPQ)EBC32077310(Au-PeEL)EBL32077310(EXLCZ)993875332430004120250503d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierAdvances in Deep Learning, Volume 2 /by M. Arif Wani, Bisma Sultan, Sarwat Ali, Mukhtar Ahmad Sofi1st ed. 2025.Singapore :Springer Nature Singapore :Imprint: Springer,2025.1 online resource (XVI, 186 p. 94 illus., 62 illus. in color.) Studies in Big Data,2197-6511 ;12981-9634-97-0 Introduction to Deep Learning Architectures -- Evolutionary Algorithm-based Neural Architecture SearchEvolutionary Algorithm-based Neural Architecture Search -- Gradient-based Neural Architecture Search.This book describes novel ways of using deep learning to solve real-world problems. It covers advanced deep learning topics like neural architecture search, ensemble deep learning, transfer learning techniques, lightweight architectures, hybrid deep learning approaches, and generative adversarial networks. The book discusses the use of these advanced topics in selected applications like image classification, object detection, image steganography, protein secondary structure prediction, and gene expression data classification. Various challenges and future research directions falling under the scope of these topics are discussed.Studies in Big Data,2197-6511 ;12Computational intelligenceBig dataNeural networks (Computer science)Image processingDigital techniquesComputer visionArtificial intelligenceComputational IntelligenceBig DataMathematical Models of Cognitive Processes and Neural NetworksComputer Imaging, Vision, Pattern Recognition and GraphicsArtificial IntelligenceComputational intelligence.Big data.Neural networks (Computer science)Image processingDigital techniques.Computer vision.Artificial intelligence.Computational Intelligence.Big Data.Mathematical Models of Cognitive Processes and Neural Networks.Computer Imaging, Vision, Pattern Recognition and Graphics.Artificial Intelligence.006.3Wani M. Arifauthttp://id.loc.gov/vocabulary/relators/aut1006177Sultan Bismaauthttp://id.loc.gov/vocabulary/relators/autAli Sarwatauthttp://id.loc.gov/vocabulary/relators/autSofi Mukhtar Ahmadauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9911001462703321Advances in Deep Learning, Volume 24385140UNINA03209nam 22005535 450 991048375460332120251113175332.03-030-47849-110.1007/978-3-030-47849-0(CKB)4100000011363669(DE-He213)978-3-030-47849-0(MiAaPQ)EBC6274530(PPN)258847409(MiAaPQ)EBC6272576(EXLCZ)99410000001136366920200728d2020 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierDirect and Inverse Sturm-Liouville Problems A Method of Solution /by Vladislav V. Kravchenko1st ed. 2020.Cham :Springer International Publishing :Imprint: Birkhäuser,2020.1 online resource (XI, 154 p. 28 illus., 27 illus. in color.) Frontiers in Mathematics,1660-80543-030-47848-3 Includes bibliographical references and index.Introduction -- Preliminaries on Sturm-Liouville equations -- Finite interval -- Half-line -- Quantum scattering problem on the half-line -- Scattering problem on the line -- Inverse scattering transform method -- Main transmutation operators -- Series representations -- Series representations for the Jost solution -- Sturm-Liouville problems on finite intervals -- Spectral problems on infinite intervals -- The inverse problem on a finite interval -- Solving the inverse problem on a half-line -- Inverse quantum scattering on the half-line -- Inverse scattering on the line.This book provides an introduction to the most recent developments in the theory and practice of direct and inverse Sturm-Liouville problems on finite and infinite intervals. A universal approach for practical solving of direct and inverse spectral and scattering problems is presented, based on the notion of transmutation (transformation) operators and their efficient construction. Analytical representations for solutions of Sturm-Liouville equations as well as for the integral kernels of the transmutation operators are derived in the form of functional series revealing interesting special features and lending themselves to direct and simple numerical solution of a wide variety of problems. The book is written for undergraduate and graduate students, as well as for mathematicians, physicists and engineers interested in direct and inverse spectral problems.Frontiers in Mathematics,1660-8054Differential equationsOperator theoryDifferential EquationsOperator TheoryDifferential equations.Operator theory.Differential Equations.Operator Theory.515.35515.357Kravchenko Vladislav V.authttp://id.loc.gov/vocabulary/relators/aut55414MiAaPQMiAaPQMiAaPQBOOK9910483754603321Direct and Inverse Sturm-Liouville Problems2057257UNINA