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Addressing Modern Challenges in the Mathematical, Statistical, and Computational Sciences : The VI AMMCS International Conference, Waterloo, Canada, August 14–18, 2023 / / edited by D. Marc Kilgour, Herb Kunze, Roman N. Makarov, Roderick Melnik, Xu Wang
Addressing Modern Challenges in the Mathematical, Statistical, and Computational Sciences : The VI AMMCS International Conference, Waterloo, Canada, August 14–18, 2023 / / edited by D. Marc Kilgour, Herb Kunze, Roman N. Makarov, Roderick Melnik, Xu Wang
Autore Kilgour D. Marc
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (913 pages)
Disciplina 519
Altri autori (Persone) KunzeHerb
MakarovRoman N
MelnikRoderick
WangXu
Collana Springer Proceedings in Mathematics & Statistics
Soggetto topico Mathematics
Mathematical models
Engineering mathematics
Engineering - Data processing
Social sciences
Artificial intelligence - Data processing
Biomathematics
Applications of Mathematics
Mathematical Modeling and Industrial Mathematics
Mathematical and Computational Engineering Applications
Mathematics in the Humanities and Social Sciences
Data Science
Mathematical and Computational Biology
ISBN 9783031848698
9783031848681
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto PartI:Advances in Mathematical Modelling and Theory -- The Study of the Transformation Semigroup of the Abelian and Directed Non-Abelian Sandpiles -- On Constructing Finite Automata by Relational Programming -- Skeleton Key: Subduction Classes in Finite Transformation Semigroups and Green’s Relations -- The Attractor-Cycle Notation for Finite Transformations -- Algebraic Applications in Investigation of Musical Symmetry -- Analysis of the Semigroup Related to the Petri Net of a Traffic Roundabout.-PartII:Innovations in Statistical Machine Learning and Stochastic Models -- From Interval-valued Neurons to Convex-polygon-valued Neurons, with Sparsity and Entropy Criteria -- Excursions of Solvable Scalar Diffusions -- Hybrid Impulsive Formation Control of Vehicle Platoons Using Neural Networks -- Pinning impulsive control for synchronization of complex-valued delayed multilayer networks -- Quasi-synchronization of fractional-order multiplex networks with parameter mismatch via intermittent control -- Part III: Mathematical Modelling in Engineering, Physical and Chemical Sciences -- An Optimization-based Approach to Image Fusion using Structural Similarity -- Hamiltonian engineering with time-ordered evolution for unitary control of electron spins in semiconductor quantum dots -- Exploring the use of gradients in the Structural Similarity image quality measure -- Simulated Charge Stability in a MOSFET Linear Quantum Dot Array -- Vreman Stabilization for Nonlinear Greenshield’s Model for Traffic Flow -- Computational Modelling of Heat Transport in Kinked Nanowires -- Telling Oil Temperature for Frying from Audio and Video Signals based on Multimodal Learning -- Gravitational Models with State-Dependent Delay: Gravitating Binaries -- Self-similar Heat Transfer in a Turbulent Particle-laden Free Flow -- A Tire Side Slip Model with Dynamic Friction Distribution over the Contact Patch -- Part IV: Mathematical and Statistical Modelling in Biological, Medical and Health Sciences -- Stability and Qualitative Analysis of a Switched SQEIAR- Based Epidemic Model -- The Influence of Refuges, Fear, and Velocities on Predator-prey Dynamics -- A Multiscale Model for Protein Allostery: Side Chain Concerted Motions Initiated by Brownian Kicks -- Near-soma Activated Action Potential in Gonadotropin-releasing Hormone Neurons -- Modeling Patterns of Sex-Dependent Neuroprotection Loss in Alzheimer’s Disease -- Deciphering heterogeneity of ATP-induced Ca2+ responses in osteoblasts using the flux-balance model -- Parameter Estimation of Hodgkin-Huxley Model: A Comparative Study of Genetic Algorithm and Artificial Neural Network Approach -- PartV: Mathematics and Computation in Finance, Economics, and Social Sciences -- Credit Risk Modelling with Occupation Times under Nonlinear Local Volatility Models -- Financial News Headlines Sentiment Analysis Enhances Stock Market Prediction -- Self-Exciting Point Processes in Real Estate -- Algebraic Structure and Complexity of Games -- State-Complexity Relations in Evolved Players of the Iterated Prisoners’ Dilemma -- The Sparse Grid Combination Method for Multidimensional Black-Scholes Partial Differential Equations -- PartVI: Theory and Computational Methods for Differential Equations -- Input-to-state stability for cascaded impulsive systems and H∞control -- Time Filtered Finite Difference Schemes for Linear Hyperbolic Problems -- Computational Considerations for Implementing the Collage Method for ODE Inverse Problems -- Penalty Ensembles for Navier-Stokes with Random Initial Conditions & Forcing -- Explicit Periodic Solutions in a Delay Differential Equation -- Proportional Consistency of Apportionment Methods -- Observer-Based Adaptive Robust Fractional Order Control of a class of Nonlinear Delayed Constrained Systems with Singularity -- Stability criteria of a class of nonlinear impulsive neutral swithcing systems -- pythOS: An operator-splitting library in Python -- Sensitivity and Optimal Control Theory for Linear Complementarity Systems -- History of an Oscillation Criterion for First-Order Delay Differential Equations -- Observer and Command Filter-Based Prescribed Performance Control for a Class of onlinear Systems with Mismatched Disturbances.
Record Nr. UNINA-9911021966403321
Kilgour D. Marc  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Computational Approaches to Biomedical Engineering / / edited by Punam K. Saha, Ujjwal Maulik, Subhadip Basu
Advanced Computational Approaches to Biomedical Engineering / / edited by Punam K. Saha, Ujjwal Maulik, Subhadip Basu
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (224 p.)
Disciplina 004
006.3
006.37
006.6
Soggetto topico Artificial intelligence
Computational intelligence
Bioinformatics
Optical data processing
Biomathematics
Artificial Intelligence
Computational Intelligence
Computational Biology/Bioinformatics
Image Processing and Computer Vision
Mathematical and Computational Biology
ISBN 3-642-41539-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I – Advanced Computational Methods -- Chap. 1 – Graph Algorithmic Techniques for Biomedical Image Segmentation -- Chap. 2 – Information Theoretic Clustering for Medical Image Segmentation -- Chap. 3 – Multiobjective Differential Evolution Based Fuzzy Clustering for MR Brain Image Segmentation -- Chap. 4 – Spectral and Non-linear Analysis of Thalamocortical Neural Mass Model Oscillatory Dynamics -- Chap. 5 – A Meta-learning Approach for Protein Function Prediction -- Part II – Biomedical Applications -- Chap. 6 – Segmentation of the Carotid Arteries from 3D Ultrasound Images -- Chap. 7 – Contemporary Problems in Quantitative Image Analysis in Structural Neuronal Plasticity -- Chap. 8 – Advanced MRI of Cartilage and Subchondral Bone in Osteoarthritis -- Chap. 9 – Computer Vision Based Hairline Mandibular Fracture Detection from Computed Tomography Images.
Record Nr. UNINA-9910299057903321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Data Analysis in Neuroscience : Integrating Statistical and Computational Models / / by Daniel Durstewitz
Advanced Data Analysis in Neuroscience : Integrating Statistical and Computational Models / / by Daniel Durstewitz
Autore Durstewitz Daniel
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XXV, 292 p. 76 illus., 66 illus. in color.)
Disciplina 612.8
Collana Bernstein Series in Computational Neuroscience
Soggetto topico Biometry
Statistics
Neurosciences
Biomathematics
Biostatistics
Statistical Theory and Methods
Neuroscience
Mathematical and Computational Biology
ISBN 9783319599762
3319599763
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Statistical Inference -- Regression Problems -- Classification Problems -- Model Complexity and Selection -- Clustering and Density Estimation -- Dimensionality Reduction -- Linear Time Series Analysis -- Nonlinear Concepts in Time Series Analysis -- Time Series From a Nonlinear Dynamical Systems Perspective.
Record Nr. UNINA-9910254305303321
Durstewitz Daniel  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Mathematical Methods in Biosciences and Applications / / edited by Faina Berezovskaya, Bourama Toni
Advanced Mathematical Methods in Biosciences and Applications / / edited by Faina Berezovskaya, Bourama Toni
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XII, 264 p. 108 illus., 63 illus. in color.)
Disciplina 570.285
570.15195
Collana STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health
Soggetto topico Biomathematics
Mathematical and Computational Biology
ISBN 3-030-15715-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Berezovskaya F. and Karev G.: Arnold’s Weak Resonance Equation as a model of Greek ornamental designs -- Bratus A., Novozhilov A. and Semenov, Y.: Rigorous mathematical analysis of the quasispecies model: From Manfred Eigen to recent developments -- De Leo, R.: A survey on quasiperiodic topology -- Karev, G.: Natural selection strategies in evolutionary game theory -- Karev, G. and Berezovskaya, F.: Struggle for Existence: the models for Darwinian and non-Darwinian selection -- Kareva, I.: Combining bifurcation analysis and population heterogeneity to ask meaningful questions -- Logofet, D: Polyvariant Ontogeny in Plants: A Primary Role of the Second Positive Eigenvalue -- Alvaro G. López, A.G., Seoane, J.M., Miguel A. F. Sanjuán, M.A.F.: Modelling cancer dynamics using cellular automata -- Medvinsky, A.: Recurrence as a basis for the assessment of predictability of the irregular population dynamics -- Nedorezov, L.V.: Total Analysis of Population Time Series: Estimation of Model Parameters and Identification of Population Dynamics Type -- Tsyganov M., Zemskov, E.P.: Analytical solutions for traveling pulses and wave trains in neural models: Excitable and oscillatory regimes -- Tyutyunov, Y., Zagrebneva, A.D., V.N.Govorukhin, L.I.Titova, L.I.: Numerical study of bifurcations occurring at fast time-scale in a predator-prey model with inertial prey-taxis -- Wirkus, S., Soho, E.: Within host dynamical immune response to co-infection with malaria and tuberculosis -- Index.
Record Nr. UNINA-9910349320103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Applied Mathematics / / edited by Ali R. Ansari
Advances in Applied Mathematics / / edited by Ali R. Ansari
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (276 p.)
Disciplina 510
Collana Springer Proceedings in Mathematics & Statistics
Soggetto topico Numerical analysis
Biomathematics
Computer science - Mathematics
Numerical Analysis
Mathematical and Computational Biology
Computational Mathematics and Numerical Analysis
ISBN 3-319-06923-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Modelling invasive processes in biology -- Modelling oxygen capillary supply to striated muscle tissues -- Modeling human response to bed–net promotion campaigns and its impact on malaria transmission -- Computational Modelling and Optimal Control of HIV/AIDS Transmission in a Community with Substance Abuse Problem -- Standard difference scheme for a singularly perturbed convection-diffusion equation in the presence of perturbations -- A Higher Order Immersed Discontinuous Galerkin Finite Element Method for the Acoustic Interface Problem -- A parameter uniform numerical method for a boundary value problem for a singularly perturbed delay differential equation -- Optimal L ∞ - error estimate for a System of Elliptic Quasi-variational Inequalities with Non coercive Operators -- Convergence of finite element approximations for generalized Marguerre-von Kármán equations -- The Maple Program Procedures at Solution Systems of Differential Equation with Taylor Collocation Method -- Numerical Study of Convective Heat and Mass Transfer Flow in Channels -- A parameter uniform method for an initial value problem for a system of singularly perturbed delay differential equations -- On a technique to construct grid methods of higher accuracy order for a singularly perturbed parabolic reaction-diffusion equation -- Spectral Analysis of Large Sparse Matrices for Scalable Direct Solvers -- Numerical study of two-dimensional jet flow issuing from a funnel -- Higher-Order Immersed Finite Element Spaces for Second-Order Elliptic Interface Problems with Quadratic Interface -- Calendering analysis of a non-Newtonian material -- Wavelet solution of convection-diffusion equation with Neumann boundary conditions -- Test of Causality between oil price and GDP growth in Algeria -- Solution Behavior of Heston Model Using Impression Matrix Norm -- Approximations to the solution of the Frank Kamenetskii equation in a spherical geometry -- Blow up of series solutions on the half line -- Two models of sub diffusion processes: When they are similar? -- Analysis of customers’ impatience in M/M/1queues with server subject to random breakdowns and exponential vacations -- Exchange curve and coverage analysis -Tools for better inventory management: a case study -- Modeling Combustion Process in Circulating Fluidized Bed Boiler: A Fuzzy Graph Approach.
Record Nr. UNINA-9910299968603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Artificial Intelligence, Computation, and Data Science : For Medicine and Life Science / / edited by Tuan D. Pham, Hong Yan, Muhammad W. Ashraf, Folke Sjöberg
Advances in Artificial Intelligence, Computation, and Data Science : For Medicine and Life Science / / edited by Tuan D. Pham, Hong Yan, Muhammad W. Ashraf, Folke Sjöberg
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (373 pages)
Disciplina 610.285
Collana Computational Biology
Soggetto topico Bioinformatics
Artificial intelligence
Artificial intelligence - Data processing
Computer science
Biomathematics
Image processing - Digital techniques
Computer vision
Computational and Systems Biology
Artificial Intelligence
Data Science
Theory of Computation
Mathematical and Computational Biology
Computer Imaging, Vision, Pattern Recognition and Graphics
Intel·ligència artificial en medicina
Investigació mèdica
Ciències de la vida
Processament de dades
Soggetto genere / forma Llibres electrònics
ISBN 3-030-69951-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Review of Recent Developments in AI, Computational Models for Complex Data Analysis, and Data Science -- 1. Recent Developments in AI -- 2. Recent Developments in Computational Models for Data Analysis -- 3. Recent Developments in Data Science -- Part II: Applications in Medicine and Physiology -- 4. Cancer -- 5. Neuroscience -- 6. Cardiology -- 7. Critical Care -- 8. Health Care -- 9. Digital Pathology -- Part III: Applications in Life Science -- 10. Systems Biology -- 11. Cell Biology -- 12. Biochemistry -- 13. Chemo-metrics -- 14. Food Technology.
Record Nr. UNINA-9910492152303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Artificial Intelligence, Computation, and Data Science : For Medicine and Life Science / / edited by Tuan D. Pham, Hong Yan, Muhammad W. Ashraf, Folke Sjöberg
Advances in Artificial Intelligence, Computation, and Data Science : For Medicine and Life Science / / edited by Tuan D. Pham, Hong Yan, Muhammad W. Ashraf, Folke Sjöberg
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (373 pages)
Disciplina 610.285
Collana Computational Biology
Soggetto topico Bioinformatics
Artificial intelligence
Artificial intelligence - Data processing
Computer science
Biomathematics
Image processing - Digital techniques
Computer vision
Computational and Systems Biology
Artificial Intelligence
Data Science
Theory of Computation
Mathematical and Computational Biology
Computer Imaging, Vision, Pattern Recognition and Graphics
Intel·ligència artificial en medicina
Investigació mèdica
Ciències de la vida
Processament de dades
Soggetto genere / forma Llibres electrònics
ISBN 3-030-69951-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Review of Recent Developments in AI, Computational Models for Complex Data Analysis, and Data Science -- 1. Recent Developments in AI -- 2. Recent Developments in Computational Models for Data Analysis -- 3. Recent Developments in Data Science -- Part II: Applications in Medicine and Physiology -- 4. Cancer -- 5. Neuroscience -- 6. Cardiology -- 7. Critical Care -- 8. Health Care -- 9. Digital Pathology -- Part III: Applications in Life Science -- 10. Systems Biology -- 11. Cell Biology -- 12. Biochemistry -- 13. Chemo-metrics -- 14. Food Technology.
Record Nr. UNISA-996464404503316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Advances in Artificial Life [[electronic resource] ] : Third European Conference on Artificial Life, Granada, Spain, June 4 - 6, 1995 Proceedings / / edited by Federico Moran, Alvaro Moreno, Juan J. Merelo, Pablo Chacon
Advances in Artificial Life [[electronic resource] ] : Third European Conference on Artificial Life, Granada, Spain, June 4 - 6, 1995 Proceedings / / edited by Federico Moran, Alvaro Moreno, Juan J. Merelo, Pablo Chacon
Edizione [1st ed. 1995.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1995
Descrizione fisica 1 online resource (XXVI, 962 p.)
Disciplina 574/.01/13
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Anthropology
Life sciences
Bioinformatics 
Computational biology 
Biomathematics
Statistics 
Artificial Intelligence
Life Sciences, general
Computer Appl. in Life Sciences
Mathematical and Computational Biology
Statistics for Life Sciences, Medicine, Health Sciences
ISBN 3-540-49286-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Artificial life and molecular evolutionary biology -- Artificial life needs a real epistemology -- Grounding and the entailment structure in robots and artificial life -- Mean field theory of the Edge of Chaos -- Escaping from the Cartesian mind-set: Heidegger and artificial life -- Semantic Closure: A guiding notion to ground artificial life -- The inside and outside views of life -- Prebiotic chemistry, artificial life, and complexity theory: What do they tell us about the origin of biological systems? -- Compartimentation in replicator models -- Evolutionary dynamics and optimization -- Population evolution in a single peak fitness landscape how high are the clouds? -- Replicators don't! -- RNA viruses: a bridge between life and artificial life -- Complexity analysis of a self-organizing vs. a template-directed system -- Tile Automaton for evolution of metabolism -- Tracking the red queen: Measurements of adaptive progress in co-evolutionary simulations -- The coevolution of mutation rates -- Coevolution of machines and tapes -- Incremental co-evolution of organisms: A new approach for optimization and discovery of strategies -- Symbiosis and co-evolution in animats -- Artificial endosymbiosis -- Mathematical analysis of evolutionary process -- The evolution of hierarchical representations -- Adaptation and the modular design of organisms -- A theory of differentiation with dynamic clustering -- Cell differentiation and neurogenesis in evolutionary large scale chaos -- Evolving artificial neural networks that develop in time -- Contextual genetic algorithms: Evolving developmental rules -- Can development be designed? What we may learn from the Cog Project -- Emergent organization of interspecies communication in Q-learning artificial organisms -- Self and nonseld revisited: Lessons from modelling the immune network -- On formation of structures -- Learning in the active mode -- Learning subjective “cognitive maps” in the presence of sensory-motor errors -- Specialization under social conditions in shared environments -- Iterated prisoner's dilemma with choice and refusal of partners: Evolutionary results -- Abundance-distributions in artificial life and stochastic models: “age and area” revisited -- Elements of a theory of simulation -- To simulate or not to simulate: A problem of minimising functional logical depth -- Quasi-Uniform Computation-Universal cellular automata -- A new self-reproducing cellular automaton capable of construction and computation -- Self-inspection based reproduction in cellular automata -- Evaluation of learning performance of situated embodied agents -- Seeing in the dark with artificial bats -- Navigating with an adaptive light compass -- Collision avoidance using an egocentric memory of proximity -- A useful autonomous vehicle with a hierarchical behavior control -- Evolving electronic robot controllers that exploit hardware resources -- Classification as sensory-motor coordination -- High-pass filtered positive feedback for decentralized control of cooperation -- Learning and adaptivity: Enhancing reactive behaviour architectures in real-world interaction systems -- Interactivism: A functional model of representation for behavior-based systems -- Noise and the reality gap: The use of simulation in evolutionary robotics -- Essential dynamical structure in learnable autonomous robots -- Optimizing the performance of a robot society in structured environment through Genetic Algorithms -- Spatial games and evolution of cooperation -- Aggressive signaling meets adaptive receiving: Further experiments in synthetic behavioural ecology -- Modelling foraging behaviour of ant colonies -- The computationally complete ant colony: Global coordination in a system with no hierarchy -- Mimicry and coevolution of hedonic agents -- Evolution of symbolic grammar systems -- Driven cellular automata, adaptation and the binding problem -- The functional composition of living machines as a design principle for artificial organisms -- Thermodynamics of RNA folding. When is an RNA molecule in equilibrium? -- An artificial life model for predicting the tertiary structure of unknown proteins that emulates the folding process -- Energy cost evaluation of computing capabilities in biomolecular and artificial matter -- Contemporary evolution strategies -- The usefulness of recombination -- The investigation of Lamarckian Inheritance with Classifier Systems in a massively parallel simulation environment -- Orgy in the computer: Multi-parent reproduction in genetic algorithms -- A simplification of the theory of neural groups selection for adaptive control.
Record Nr. UNISA-996466143603316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1995
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Advances in Cancer Detection, Prediction, and Prognosis Using Artificial Intelligence and Machine Learning / / edited by Rajeev Nema, Ashok Kumar, Dinesh Kumar Saini
Advances in Cancer Detection, Prediction, and Prognosis Using Artificial Intelligence and Machine Learning / / edited by Rajeev Nema, Ashok Kumar, Dinesh Kumar Saini
Autore Nema Rajeev
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (602 pages)
Disciplina 576.5
616.994
Altri autori (Persone) KumarAshok
SainiDinesh Kumar
Collana Biomedical and Life Sciences Series
Soggetto topico Cancer - Genetic aspects
Cancer
Bioinformatics
Biomathematics
Machine learning
Oncology
Cancer Genetics and Genomics
Cancer Biology
Mathematical and Computational Biology
Machine Learning
ISBN 981-9693-46-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Chapter 1: Cancer Diagnosis: An overview -- Chapter 2: Computational Methods in Oncology -- Chapter 3: Overview of Computational Approaches for Cancer Diagnosis -- Chapter 4: Artificial intelligence and Machine Learning in improving diagnostic accuracy -- Chapter 5: Advances in Image Processing and Pattern Recognition -- Chapter 6: Genomics and Bioinformatics in the discovery and validation of diagnostic biomarkers -- Chapter 7: Computer-based wearable devices for remote patient monitoring. -- Chapter 8: Overview of computational approaches for Cancer Prognosis -- Chapter 9: Predictive Modeling for Cancer Prognosis -- Chapter 10:Genomics and Transcriptomics based predictive and prognostic biomarkers -- Chapter 11:Artificial Intelligence in Personalized Medicine and Treatment Planning -- Chapter 12:Integrative Multi-Omics Approaches -- Chapter 13:Challenges and Limitations of Computational Methods in Oncology -- Chapter 14:Challenges in Integration of computational approaches with Clinical Practice -- Chapter 15:Emerging Technologies in Computational Oncology -- Chapter 16:Statement On the Effectiveness of AI And ML In Cancer Care -- Chapter 17:Future Directions in Computational Cancer Research -- Chapter 18:Deep learning algorithms to analyze medical images for early detection of cancer -- Chapter 19:Ethical considerations regarding patient privacy and data security -- Chapter 20:Call for further research and implementation of deep learning technologies in oncology for enhanced healthcare delivery.
Record Nr. UNINA-9911031631003321
Nema Rajeev  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Computational and Bio-Engineering [[electronic resource] ] : Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 1 / / edited by S. Jyothi, D. M. Mamatha, Suresh Chandra Satapathy, K. Srujan Raju, Margarita N. Favorskaya
Advances in Computational and Bio-Engineering [[electronic resource] ] : Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 1 / / edited by S. Jyothi, D. M. Mamatha, Suresh Chandra Satapathy, K. Srujan Raju, Margarita N. Favorskaya
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (X, 667 p. 273 illus., 194 illus. in color.)
Disciplina 004
Collana Learning and Analytics in Intelligent Systems
Soggetto topico Biomathematics
Computational intelligence
Biomedical engineering
Engineering mathematics
Mathematical and Computational Biology
Computational Intelligence
Biomedical Engineering and Bioengineering
Engineering Mathematics
ISBN 3-030-46939-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Sequential Pattern Mining for U.S. presidential elections using Google Cloud Platform (GCP) -- Chapter 2: An evolutionary optimization methodology for analysing breast canr gene sequens using MSAPSO and MSADE -- Chapter 3: Performing Image Compression and Decompression Using Matrix Substitution Technique -- Chapter 4: Classification of Cotton Crop Pests using Big Data Analytics -- Chapter 5: Effect Of Formulation Variables on Optimization of Gastroretentive in Situ Rafts of Bosentan Monohydrate HCL by 32 Factorial Design -- Chapter 6: Performan Analysis of Apache Spark ML lib Clustering on Batch Data Stored in Cassandra -- Chapter 7: A study on Opinion of B.Sc Nursing studentson Health Informatics and EMR to included in Nursing Education -- Chapter 8: A Comprehensive Hybrid Ensemble Method with Feature Selection Techniques -- Chapter 9: DNA based Quick Response (QR) code for Screening of Potential Parents for Evolving new Silkworm Ras of high Productivity -- Chapter 10: Big Data Analysis for Land Use Classification Using Machine Learning Algorithms.
Record Nr. UNISA-996418253503316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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