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Advances in Neural Computation, Machine Learning, and Cognitive Research VI : Selected Papers from the XXIV International Conference on Neuroinformatics, October 17-21, 2022, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev
| Advances in Neural Computation, Machine Learning, and Cognitive Research VI : Selected Papers from the XXIV International Conference on Neuroinformatics, October 17-21, 2022, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (585 pages) |
| Disciplina |
745.05
006.32 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Machine learning Computational neuroscience Computational Intelligence Machine Learning Computational Neuroscience |
| ISBN | 3-031-19032-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Neuroinformatics and Artificial Intelligence -- Tree Inventory with LiDAR Data -- Towards Reliable Solar Atmospheric Parameters Neural-Based Inference -- Addressing Task Prioritization in Model-based Reinforcement Learning -- Automatic Generation of Conversational Skills from Dialog Datasets -- Part II: Neural Networks and Cognitive Sciences. Adaptive Behavior and Evolutionary Simulation -- Individual Topology Structure of Eye Movement Trajectories -- Neural Network Providing the Involvement of Voluntary Attention into the Processing and Conscious Perception of Sensory Information -- Alpha Rhythm Dynamics During Spoken Word Recognition -- Robotic Devices Control Based on Neuromorphic Classifiers of Imaginary Motor Commands -- A Software System for Training Motor Imagery in Virtual Reality -- On the Importance of Diversity -- “MYO-chat” – A New Computer Control System for People with Disabilities -- Low-bit Quantization of Transformer for Audio Speech Recognition -- A Model of Predicting andUsing Regularities by an Autonomous Agent -- A Review of One-Shot Neural Architecture Search Methods -- Does a Recurrent Neural Network Use Reflection During a Reflexive Game? -- A Gender Genetic Algorithm and its Comparison with Conventional Genetic Algorithm -- Associations of Morphometric Changes of the Brain with the Levels of IGF1, a Multifunctional Growth Factor, and with Systemic Immune Parameters Reflect the Disturbances of Neuroimmune Interactions in Patients with Schizophrenia -- Part III: Modern Methods and Technologies in Neurobiology -- Dynamics of Background and Evoked Activity of Neurons in the Auditory Cortex of the Unanaesthetized Cat -- Search for Markers of Moderate Cognitive Disorders through Phase Synchronization between Rhythmic Photostimulus and EEG Pattern -- Astrocytes Enhance Image Representation Encoded in Spiking Neural Network -- Classification of Neuron Type Based on Average Activity -- Comparative Analysis of Statistical and Neural Network Classification Methods onthe Example of Synthesized Data in the Stimulus-Independent Brain-Computer Interface Paradigm -- Shunting Effect of Synaptic Channels Located on Presynaptic Terminal -- Analysis of Appearances, Formation and Evolution of Biological Functional Systems -- The Reinforcement Learning Theory, Value Function, and the Nature of Value Function Calculation by the Insular Cortex -- To the Role of Inferior Olives in Cerebellar Neuromechanics -- Individual Differences in Mismatch-Induced c-Fos Expression in the Retrosplenial Cortex in Rats: Shift in Activity is Layer-Specific -- Sleep of Poor and Good Nappers under the Afternoon Exposure to Weak 2-Hz/8-Hz Electromagnetic Fields -- Part IV: Applications of Neural Networks -- Classification of Light Microscopy Image Using Probabilistic Bayesian Neural Network -- SPICE Model of Analog Content-Addressable Memory Based on 2G FeFET Crossbar -- IQ-GAN: Instance Quantized Image Synthesis -- Specifics of Crossbar Resistor Arrays -- Recurrent and Graph Neural Networksfor Particle Tracking at the BM@N Experiment -- Modeling of a Neural Network Algorithm for Suppressing Non-Stationary Interference in an Adaptive Antenna Array -- Learning Various Locomotion Skills from Scratch with Deep Reinforcement Learning -- Center3dAugNet: Effect of Rotation Representation on One-Stage Joint Car Detection and 6D-Pose Estimation -- Global memory transformer for processing long documents -- Development of the Convolutional Neural Network for Defining the Renal Pathology Using Computed Tomography Images -- Possibility of Using Various Architectures of Convolutional Neural Networks in the Problem of Determining the Type of Rhythm -- DeepPavlov Topics: Topic Classification Dataset for Conversational Domain in English -- Multi-Input Convolutional Neural Networks in Real-Time Semantic Segmentation Tasks -- Integration of Data and Algorithms in Solving Inverse Problems of Spectroscopy of Solutions by Machine Learning Methods -- Investigation of Pareto Front of Neural Network Approximation of Solution of Laplace Equation in Two Statements: with Discontinuous Initial Conditions or with Measurement Data? -- Multitask learning for extensive object description to improve scene understanding on monocular video -- Use of Classification Algorithms to Predict the Grade of Geomagnetic Disturbance -- Information processing in spiking neuron-astrocyte network in ageing -- Multilingual Case-insensitive Named Entity Recognition -- Multi-level Pipeline for Data Mining with Similar Structure -- Creating a Brief Review of Judicial Practice Using Clustering Methods -- Part V: Neural Network Theory, Concepts and Architectures -- "Gas” instead of “Liquid”: which Liquid State Machine is Better? -- Using a Resistor Array to Tackle Optimization Problems -- Generative Adversarial Networks as an Approach to Unsupervised Link Prediction Problem -- DGAC: Dialog Graph AutoConstruction up on Data with a Regular Structure -- Relay System of Differential Equations with Delay as a Perceptron Model -- Analysis of Predictive Capabilities of Adaptive Multilayer Models with Physics-Based Architecture for Duffing Oscillator? -- An Attempt to Formalize the Formulation of the Network Architecture Search Problem for Convolutional Neural Networks -- Use of Conditional Variational Autoencoders and Partial Least Squares in Solving an Inverse Problem of Spectroscopy -- On the Similarities between Denoising Diffusion Models and Autoencoders. |
| Record Nr. | UNINA-9910627241903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Neural Computation, Machine Learning, and Cognitive Research VII : Selected Papers from the XXV International Conference on Neuroinformatics, October 23-27, 2023, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev, Valentin Klimov
| Advances in Neural Computation, Machine Learning, and Cognitive Research VII : Selected Papers from the XXV International Conference on Neuroinformatics, October 23-27, 2023, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev, Valentin Klimov |
| Autore | Kryzhanovsky Boris |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (505 pages) |
| Disciplina | 006.32 |
| Altri autori (Persone) |
Dunin-BarkowskiWitali
RedkoVladimir TiumentsevYury KlimovValentin |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Machine learning Computational neuroscience Computational Intelligence Machine Learning Computational Neuroscience |
| ISBN |
9783031448652
3031448650 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Evolution of Efficient Symbolic Communication Codes -- Solving the Problem of Diagnosing a Disease by ECG on the PTB-XL Dataset Using Deep Learning -- Zero-Shot NER via Extractive Question Answering -- TreeCurveNet – An Improved CurveNet for Tree Species Classification -- Dialogue Graphs: Enhancing Response Selection through Target Node Separation -- Research Methods for Fake News Detection in Bangla Text -- On the Question of the Dynamic Theory of Intelligence -- Offline Deep Reinforcement Learning for Robotic Arm Control in the ManiSkill Environment -- A Photostimuli Presenting Device for Customized SSVEP-based Brain-Computer Interfaces -- SNAC Approach to Aircraft Motion Control -- Russian Language Speech Generation from Facial Video Recordings Using Variational Autoencoder. |
| Record Nr. | UNINA-9910751390403321 |
Kryzhanovsky Boris
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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AI to Improve e-Governance and Eminence of Life : Kalyanathon 2020 / / edited by Somnath Mukhopadhyay, Sunita Sarkar, Jyotsna Kumar Mandal, Sudipta Roy
| AI to Improve e-Governance and Eminence of Life : Kalyanathon 2020 / / edited by Somnath Mukhopadhyay, Sunita Sarkar, Jyotsna Kumar Mandal, Sudipta Roy |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (189 pages) |
| Disciplina | 006.3 |
| Collana | Studies in Big Data |
| Soggetto topico |
Computational intelligence
Artificial intelligence Political science Computational neuroscience Computational Intelligence Artificial Intelligence Governance and Government Computational Neuroscience |
| ISBN | 981-9946-77-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence for Rural Healthcare Management: Prognosis, Diagnosis and Treatment -- A Study using Support Vector Machine as a Tool for Patient’s Satisfaction for SARS-CoV-2 Cases Using Telemedicine -- Applications of AI and IoT technology in Protected Cultivation for Enhancing Agricultural Productivity: A Concise Review -- IoT Based Smart Farming Using AI -- Random Forest Algorithm for Plant Disease Prediction. |
| Record Nr. | UNINA-9910746087803321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications : 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 – June 3, 2022, Proceedings, Part I / / edited by José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Félix de la Paz López, Hojjat Adeli
| Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications : 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 – June 3, 2022, Proceedings, Part I / / edited by José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Félix de la Paz López, Hojjat Adeli |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (675 pages) |
| Disciplina |
610.28563
612.8028563 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computational neuroscience
Computational Neuroscience |
| ISBN | 3-031-06242-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910768462903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bayesian Filter Design for Computational Medicine : A State-Space Estimation Framework / / by Dilranjan S. Wickramasuriya, Rose T. Faghih
| Bayesian Filter Design for Computational Medicine : A State-Space Estimation Framework / / by Dilranjan S. Wickramasuriya, Rose T. Faghih |
| Autore | Wickramasuriya Dilranjan S |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (235 pages) |
| Disciplina |
612.8
570.285 |
| Altri autori (Persone) | FaghihRose T |
| Soggetto topico |
Computational neuroscience
Neurotechnology (Bioengineering) Biomedical engineering Signal processing Biophysics Cell interaction Computational Neuroscience Neuroengineering Biomedical Engineering and Bioengineering Digital and Analog Signal Processing Mechanobiological Cell Signaling |
| ISBN | 3-031-47104-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Some Useful Statistical Results -- State-space Model with One Binary Observation -- State-space Model with One Binary and One Continuous Observation -- State-space Model with One Binary and Two Continuous Observations -- State-space Model with One Binary, Two Continuous and a Spiking-type Observation -- State-space Model with One Marked Point Process (MPP) Observation -- Additional Models and Derivations -- MATLAB Code Examples -- List of Supplementary MATLAB Functions. |
| Record Nr. | UNINA-9910845077403321 |
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Wickramasuriya Dilranjan S
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The Brain Masters of Vienna : Psychology and Neuroscience Pioneers around the Secession up to the Anschluss / / by Lazaros C. Triarhou
| The Brain Masters of Vienna : Psychology and Neuroscience Pioneers around the Secession up to the Anschluss / / by Lazaros C. Triarhou |
| Autore | Triarhou Lazaros Constantinos <1957-> |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (457 pages) |
| Disciplina |
612.8233
150.92243613 |
| Soggetto topico |
Psychology
Cognitive psychology Social sciences - History Cognitive neuroscience Computational neuroscience Psychiatry Behavioral Sciences and Psychology Cognitive Psychology History of Psychology Cognitive Neuroscience Computational Neuroscience |
| ISBN |
9783031130526
9783031130519 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Alexandra Adler (1901–2001) -- Chapter 2. José María Aldama y Truchuelo (1900–1970) -- Chapter 3 Lydia Bak-Sicher (1890–1962) -- Chapter 4 Róbert Bárány (1876–1936) -- Chapter 5 Moritz Benedikt (1835–1920) -- Chapter 6 Josef Berze (1866–1958) -- Chapter 7 Stjepan Betlheim (1898–1970) -- Chapter 8 Edward Bibring (1894–1959) -- Chapter 9 Ernst Bischoff (1868–1957) -- Chapter 10 Giulio Bonvicini (1872–1951) -- Chapter 11 Josef Breuer (1842–1925) -- Chapter 12 Liweri O. Darkschewitsch (1858–1925) -- Chapter 13 Bernhard Dattner (1887–1952) -- Chapter 14 Constantin von Economo (1876–1931) -- Chapter 15 Ludwig Eidelberg (1898–1970) -- Chapter 16 Anton von Eiselsberg (1860–1939) -- Chapter 17 Gottfried von Engerth (1900–1943) -- Chapter 18 Siegmund Erben (1863–1942) -- Chapter 19 Lothar von Frankl-Hochwart (1862–1914) -- Chapter 20 Anna Freud (1895–1982) -- Chapter 21 Sigmund Freud (1856–1939) -- Chapter 22 Alfred Fröhlich (1871–1953) -- Chapter 23 Alfred Fuchs (1870–1927) -- Chapter 24 Josef Gerstmann (1887–1969) -- Chapter 25 Ernst Haase (1894–1961) -- Chapter 26 Fanny Halpern (1899–1952) -- Chapter 27 Heinz Hartmann (1894–1970) -- Chapter 28 Heinrich Herschmann (1889-1933) -- Chapter 29 Hans Hoff (1897–1969) -- Chapter 30 Ludwig Horn (1897–1935) -- Chapter 31 Otto Isakower (1899–1972) -- Chapter 32 Johann Paul Karplus (1866–1936) -- Chapter 33 Max Kassowitz (1842–1913) -- Chapter 34 Otto Kauders (1893–1949) -- Chapter 35 Edith Klemperer (1898–1987) -- Chapter 36 Heinrich von Kogerer (1887–1958) -- Chapter 37 Georg N. Koskinas (1885–1975) -- Chapter 38 Richard von Krafft-Ebing (1840–1902) -- Chapter 39 Grete Lehner-Bibring (1899–1977) -- Chapter 40 Otto Loewi (1873–1961) -- Chapter 41 Otto Marburg (1874–1948) -- Chapter 42 Emil Mattauschek (1870–1935) -- Chapter 43 Theodor H. Meynert (1833-1892).-Chapter 44 Max Neuburger (1868–1955) -- Chapter 45 Heinrich Obersteiner (1847–1922) -- Chapter 46 Martin Pappenheim (1881–1943) -- Chapter 47 Alexander Pilcz (1871–1954) -- Chapter 48 Annie Pink-Reich (1902–1971) -- Chapter 49 Eugen Pollak (1890–1953) -- Chapter 50 Stephen L. Polyak (1889–1955) -- Chapter 51 Otto Pötzl (1877–1962) -- Chapter 52 Emil Raimann (1872–1949) -- Chapter 53 Emil Redlich (1866–1930) Chapter 54 Anny Rosenberg Angel-Katan (1898–1992) -- Chapter 55 Ilya Mark Scheinker (1902–1954) -- Chapter 56 Paul F. Schilder (1886–1940) Chapter 57 Arthur Schüller (1874–1957) -- Chapter 58 Ernst A. Spiegel (1895–1985) -- Chapter 59 Alexander Spitzer (1868–1943) -- Chapter 60 Erwin Stengel (1902–1973) -- Chapter 61 Richard Stern (1878–1942) -- Chapter 62 Robert Stern (1895–?) -- Chapter 63 Erwin Stransky (1877–1962) -- Chapter 64 Ernst Sträussler (1872–1959) Chapter 65 Adolf von Strümpell (1853–1925) -- Chapter 66 Friedrich Stumpfl (1902–1997) -- Chapter 67 Constantin J. Tsiminakis (1875–1942) -- Chapter 68 Edith Vincze-Lászlo (1900–1940) -- Chapter 69 Julius von Wagner-Jauregg (1857–1940) -- Chapter 70 Max Weissmann (1895–1957). |
| Record Nr. | UNINA-9910619279203321 |
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Triarhou Lazaros Constantinos <1957->
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Chaos, Fractals and Complexity / / edited by Tassos Bountis, Filippos Vallianatos, Astero Provata, Dimitris Kugiumtzis, Yannis Kominis
| Chaos, Fractals and Complexity / / edited by Tassos Bountis, Filippos Vallianatos, Astero Provata, Dimitris Kugiumtzis, Yannis Kominis |
| Autore | Bountis Tassos |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (381 pages) |
| Disciplina | 003 |
| Altri autori (Persone) |
VallianatosFilippos
ProvataAstero KugiumtzisDimitris KominisYannis |
| Collana | Springer Proceedings in Complexity |
| Soggetto topico |
System theory
Dynamics Nonlinear theories Computational neuroscience Geometry Complex Systems Applied Dynamical Systems Computational Neuroscience |
| ISBN |
9783031374043
3031374045 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Diffusion without Spreading of a Wave Packet in Nonlinear Random Models -- Nonlinear Phenomena Shaping the Structure of Spiral Galaxies -- Phase Space Transport and Dynamical Matching in a Caldera-type Hamiltonian System -- Building Blocks of Spiral Arms -- Ordered and Chaotic Bohmian Trajectories -- Introduction to Quantum Chaos of Generic Systems -- Dynamics and Statistics of Weak Chaos in a 4-Dimensional Map -- Multifractal Analysis of SEM images of Multiphase Materials: The Case of OPC Clinker -- Fractal Dimensional Analysis for Retinal Vascularization Images in Retinitis Pigmentosa: a Pilot Study -- Extending the Bayesian Framework from Information to Action -- Fokas on Medical Imaging: Analytic Reconstructions for Emission Tomography -- Inverse EEG problem, Minimization and Numerical Solutions -- Travelling Waves in Flowing Sand: The Dynamical Systems Approach -- Identifying Discrete Breathers Using Convolutional Neural Networks -- Subthreshold Oscillations in Multiplex Leaky Integrate-and-Fire Networks with Nonlocal Interactions -- Networks' Modulation: How Different Structural Network Properties affect the Global Synchronization of Coupled Kuramoto Oscillators -- Neural Correlates of Human-Machine Trust in Autonomous Vehicles -- High-Order Localized Wave Solutions of the New (3+1)-Dimensional Kadomtsev-Petviashvili Equation -- Progress in Initial-Boundary Value Problems for Nonlinear Evolution Equations and the Fokas Method -- Instabilities of Linear Evolution PDEs via the Fokas Method -- Fokas Diagonalization -- A Novel Difference-Integral Equation Satisfied Asymptotically by the Riemann Zeta Function -- The Role of Periodicity in the Solution of Third Order Boundary Value Problems -- The Fokas Method for the Well-Posedness of Nonlinear Dispersive Equations in Domains with a Boundary -- Athanassios Fokas: A Renaissance Scientist. |
| Record Nr. | UNINA-9910746294503321 |
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Bountis Tassos
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Methods in Psychiatry / / edited by Gopi Battineni, Mamta Mittal, Nalini Chintalapudi
| Computational Methods in Psychiatry / / edited by Gopi Battineni, Mamta Mittal, Nalini Chintalapudi |
| Autore | Battineni Gopi |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (345 pages) |
| Disciplina | 616.89 |
| Altri autori (Persone) |
MittalMamta
ChintalapudiNalini |
| Soggetto topico |
Psychiatry
Mental illness Mental health Clinical psychology Psychodiagnostics Computational neuroscience Mental Disorder Mental Health Clinical Psychology Psychological Diagnostics Computational Neuroscience |
| ISBN |
9789819966370
981996637X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 COVID impact on Italian health system: from self determination to solidarity -- 2 Mental health and psychological wellbeing of maritime personnel: Factors affecting Mental Health of Seafarers on Board Merchant Ships -- 3 Intelligent monitoring system based on ATMEGA microcontrollers in healthcare with stress reduce effect -- 4 Predictive Measures to tackle Mental Health During COVID-19 -- 5 Intelligent Digital Monitoring of levels of stress -- 6 Consequences of brain health in digital era -- 7 AI-based Framework for Association between Depression and Physical Health Disorders -- 8 WFH and its impacts on lifestyle of humanoid in the context of covid-19 -- 9 Digital Mental Health Prediction and Enhancement using Deep Feed Forward Neural Network and Psychiatry Tools -- 10 The challenge of self-diagnosis on mental health through social media: A qualitative study -- 11 Relationship between mortality and mental health disorders -- 12 Recent Developments in the Application of Computer-Aided DrugDesign to Neurodegenerative Disorders -- 13 Intelligent Stress Cause and its Level Monitoring of Teachers in Private Engineering Colleges -- 14 Student Stress Detection in Online Learning during Outbreak -- 15 A Review on Mental and Physical Health Acceptance of Immunization and Vaccination for COVID-19 Pandemic a Conscience of Humans Perception Using SWOT Analysis -- 16 Application of Smart Intelligent technologies in health care using 4.0 Perspectives. |
| Record Nr. | UNINA-9910768194003321 |
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Battineni Gopi
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Neuroscience : An Essential Guide to Membrane Potentials, Receptive Fields, and Neural Networks / / by Hanspeter A. Mallot
| Computational Neuroscience : An Essential Guide to Membrane Potentials, Receptive Fields, and Neural Networks / / by Hanspeter A. Mallot |
| Autore | Mallot Hanspeter A |
| Edizione | [2nd ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (289 pages) |
| Disciplina |
612.8
570.285 |
| Soggetto topico |
Computational neuroscience
Computational intelligence Neurosciences Neural networks (Neurobiology) Neural circuitry Computational Neuroscience Computational Intelligence Neuroscience Systems Neuroscience Neural Circuits |
| ISBN |
9783031757051
303175705X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Excitable Membranes and Neural Conduction -- Chapter 2. Receptive Fields and the Specificity of Neuronal Firing -- Chapter 3. Functional Models of Receptive Fields -- Chapter 4. Fourier Analysis for Neuroscientists -- Chapter 5. Artificial Neural Networks and Classification -- Chapter 6. Artificial Neural Networks With Interacting Output Units -- Chapter 7. Coding and Representation. |
| Record Nr. | UNINA-9910920446403321 |
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Mallot Hanspeter A
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Neurosurgery / / edited by Antonio Di Ieva, Eric Suero Molina, Sidong Liu, Carlo Russo
| Computational Neurosurgery / / edited by Antonio Di Ieva, Eric Suero Molina, Sidong Liu, Carlo Russo |
| Autore | Di Ieva Antonio |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (561 pages) |
| Disciplina | 617.48 |
| Altri autori (Persone) |
Suero MolinaEric
LiuSidong RussoCarlo |
| Collana | Advances in Experimental Medicine and Biology |
| Soggetto topico |
Computational neuroscience
Nervous system - Surgery Artificial intelligence Computational Neuroscience Neurosurgery Artificial Intelligence |
| ISBN |
9783031648922
3031648927 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Computational Neurosurgery: Foundation -- Part I: Foundations of Computational Neurosurgery -- Declaration of Computational Neurosurgery -- Artificial Intelligence Methods -- Deep Learning: A Primer for Neurosurgeons -- Mathematical background of Machine Learning & Deep Learning -- Computational fractal-based Neurosurgery -- Graph theory and modeling of network topology in clinical neurosurgery -- Computer Vision in digital neuropathology -- Bayesian Neural Networks in predictive neurosurgery -- Big data in neurosurgery -- Large Language Models in Neurosurgery -- Part II: Computational Neurosurgery Applications & Translational Aspects -- AI and deep learning in brain tumors -- Meta-transfer Learning for Brain Tumor Segmentation: Within and Beyond Glioma -- Machine learning and radiomics in gliomas -- Machine Learning in fluorescence-guided brain tumor surgery -- AI and computational modeling in skull base surgery -- Applications and Integration of Radiomics for Skull Base Oncology -- Computational modeling and AI in radiation neuro-oncology and radiosurgery -- Multimodal neuroimaging computing: Basics and applications in neurosurgery -- The Brain Connectome for Clinical Neuroscience -- Augmented reality in neurosurgery -- Virtual and Augmented Reality in neurosurgery -- Machine Intelligence in cerebrovascular and endovascular neurosurgery -- Computational fluid dynamics in vascular neurosurgery -- Computational fluid dynamics of cerebrospinal fluid -- Computational Neurosurgery in Deep Brain Stimulation -- Computational modeling, augmented reality, and Artificial Intelligence in spine surgery -- Artificial Intelligence in spine and paravertebral muscles analysis -- Computational prognostic modeling in traumatic brain injury -- Comprehensive overview of computational modeling and artificial intelligence in pediatric neurosurgery -- Machine Learning in Pain Neuromodulation -- Neurosurgery and the brain computer interface -- Ethical aspects of computational neurosurgery -- Explainable AI and Laws in Computational neurosurgery. |
| Record Nr. | UNINA-9910906299903321 |
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Di Ieva Antonio
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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