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Magnetic Resonance Brain Imaging [[electronic resource] ] : Modelling and Data Analysis Using R / / by Jörg Polzehl, Karsten Tabelow
Magnetic Resonance Brain Imaging [[electronic resource] ] : Modelling and Data Analysis Using R / / by Jörg Polzehl, Karsten Tabelow
Autore Polzehl Jörg
Edizione [2nd ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (268 pages)
Disciplina 616.8047548
Altri autori (Persone) TabelowKarsten
Collana Use R!
Soggetto topico Biometry
Radiology
Image processing - Digital techniques
Computer vision
Mathematical statistics - Data processing
Signal processing
Biostatistics
Computer Imaging, Vision, Pattern Recognition and Graphics
Statistics and Computing
Signal, Speech and Image Processing
ISBN 3-031-38949-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface to the Second Edition -- Preface to First Edition -- Contents -- Acronyms -- 1 Introduction -- 2 Magnetic Resonance Imaging in a Nutshell -- 2.1 The Principles of Magnetic Resonance Imaging -- 2.1.1 The Zeeman effect for Atomic Nuclei -- 2.1.2 Macroscopic Magnetization Vector -- 2.1.3 Spin Excitation and Relaxation -- 2.1.4 Spatial Localization and Pulse Sequences -- 2.1.5 MR Image Formation and Parallel Imaging -- 2.2 Special MR Imaging Modalities -- 2.2.1 Functional Magnetic Resonance Imaging (fMRI) -- 2.2.2 Diffusion Weighted Magnetic Resonance Imaging(dMRI) -- 2.2.3 Multi-parameter Mapping (MPM) -- 2.2.4 Inversion Recovery Magnetic Resonance Imaging (IR-MRI) -- 3 Medical Imaging Data Formats -- 3.1 DICOM Format -- 3.2 ANALYZE and NIfTI format -- 3.3 The BIDS Standard for Neuroimaging Data -- 4 Functional Magnetic Resonance Imaging -- 4.1 Prerequisites for Running the Code in This Chapter -- 4.2 Pre-processing fMRI Data -- 4.2.1 Example Data -- Functional MRI Data on Visual Object Recognition (ds000105) -- Multi-subject and Multi-modal Neuroimaging Dataset on Face Processing (ds000117) -- Multi-modal Longitudinal Study of a Single Subject (ds000031) -- 4.2.2 Slice Time Correction -- 4.2.3 Motion Correction -- 4.2.4 Registration -- 4.2.5 Normalization -- 4.2.6 Brain Mask -- 4.2.7 Brain Tissue Segmentation -- 4.2.8 Using Brain Atlas Information -- 4.2.9 Spatial Smoothing -- 4.3 The General Linear Model (GLM) for fMRI -- 4.3.1 Modeling the BOLD Signal -- 4.3.2 The Linear Model -- 4.3.3 Simulated fMRI Data -- 4.4 Signal Detection in Single-Subject Experiments -- 4.4.1 Voxelwise Signal Detection and the Multiple Comparison Problem -- 4.4.2 Bonferroni Correction -- 4.4.3 Random Field Theory -- 4.4.4 False Discovery Rate (FDR) -- 4.4.5 Cluster Thresholds -- 4.4.6 Permutation Tests -- 4.5 Adaptive Smoothing in fMRI.
4.5.1 Analyzing fMRI Experiments with Structural Adaptive Smoothing Procedures -- 4.5.2 Structural Adaptive Segmentation in fMRI -- 4.6 Other Approaches for fMRI Analysis Using R -- 4.6.1 Multivariate fMRI Analysis -- 4.6.2 Independent Component Analysis (ICA) -- 4.7 Functional Connectivity for Resting-State fMRI -- 5 Diffusion-Weighted Imaging -- 5.1 Prerequisites -- 5.2 Diffusion-Weighted MRI Data -- 5.2.1 The Diffusion Equation and MRI -- 5.2.2 Example Data -- 5.2.3 Data Pre-processing -- 5.2.4 Reading Pre-processed Data -- 5.2.5 Basic Data Properties -- 5.2.6 Definition of a Brain Mask -- 5.2.7 Characterization of Noise in Diffusion-Weighted MRI -- 5.3 Modeling Diffusion-Weighted MRI Data -- 5.3.1 The Apparent Diffusion Coefficient (ADC) -- 5.3.2 Diffusion Tensor Imaging (DTI) -- 5.3.3 Diffusion Kurtosis Imaging (DKI) -- 5.3.4 The Orientation Distribution Function -- 5.3.5 Tensor Mixture Models -- 5.4 Smoothing Diffusion-Weighted Data -- 5.4.1 Effects of Gaussian Filtering -- 5.4.2 Multi-shell Position-Orientation Adaptive Smoothing (msPOAS) -- 5.5 Fiber Tracking Methods -- 5.6 Structural Connectivity -- 6 Multiparameter Mapping -- 6.1 Prerequisites -- 6.2 Multiparameter Mapping -- 6.2.1 Signal Model in FLASH Sequences -- 6.2.2 Data from the Multiparameter Mapping (MPM) Protocol -- 6.2.3 Reparameterization of the Signal Model by ESTATICS -- 6.2.4 Correction for Instrumental B1-Bias -- 6.2.5 Correction for the Bias Induced by Low SNR -- 6.2.6 Structural Adaptive Smoothing of Relaxometry Data -- 7 Inversion Recovery Magnetic Resonance Imaging -- 7.1 Prerequisites -- 7.2 Tissue Porosity Estimation by Inversion Recovery MRI-based Experiments -- 7.3 Generating a Simulated Dataset -- 7.4 Estimation of Parameters from IR MRI Data in a Mixture Model -- A Smoothing Techniques for Imaging Problems -- A.1 Non-parametric Regression -- A.1.1 Kernel Smoothing.
A.2 Adaptive Weigths Smoothing -- A.2.1 Local Constant Likelihood Models -- A.2.2 Patch-Wise Adaptive Weights Smoothing (PAWS) -- A.3 Special Settings in Neuroimaging Experiments -- A.3.1 Simultaneous Mean and Variance Estimation -- A.3.2 Vector Valued Data -- A.3.3 Diffusion Data -- A.3.4 Tensor-Valued Data -- A.3.5 Model-Driven Smoothing of Observed Images -- B Resources for Neuroimaging in R -- B.1 An Overview on Selected R Packages for Neuroimaging -- B.2 Open Neuroimaging Data Archives -- C Data, Software and Hardware Resources -- C.1 How to Get the Example Code -- C.2 Packages and Software to Install -- C.3 How to Acquire and Organize the Example Data -- C.3.1 Data from the `Kirby21' Reproducibility Study -- C.3.2 Data from OpenNeuro -- C.3.3 DICOM Example Data -- C.3.4 MPM Data Example -- C.3.5 Atlas Data -- C.4 How to Obtain Precomputed Results -- C.5 System Requirements -- References -- Index.
Record Nr. UNINA-9910751383603321
Polzehl Jörg  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Man-Machine Speech Communication [[electronic resource] ] : 18th National Conference, NCMMSC 2023, Suzhou, China, December 8–10, 2023, Proceedings / / edited by Jia Jia, Zhenhua Ling, Xie Chen, Ya Li, Zixing Zhang
Man-Machine Speech Communication [[electronic resource] ] : 18th National Conference, NCMMSC 2023, Suzhou, China, December 8–10, 2023, Proceedings / / edited by Jia Jia, Zhenhua Ling, Xie Chen, Ya Li, Zixing Zhang
Autore Jia Jia
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (380 pages)
Disciplina 006.37
Altri autori (Persone) LingZhenhua
ChenXie
LiYa
ZhangZixing
Collana Communications in Computer and Information Science
Soggetto topico Computer vision
Natural language processing (Computer science)
Signal processing
Artificial intelligence
User interfaces (Computer systems)
Human-computer interaction
Computer Vision
Natural Language Processing (NLP)
Signal, Speech and Image Processing
Artificial Intelligence
User Interfaces and Human Computer Interaction
ISBN 981-9706-01-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Ultra-Low Complexity Residue Echo and Noise Suppression Based on Recurrent Neural Network -- Semi-End-to-End Nested Named Entity Recognition from Speech -- A Lightweight Music Source Separation Model with Graph Convolution Network -- Joint time-domain and frequency-domain progressive learning for single-channel speech enhancement and recognition -- A Study on Domain Adaptation for Audio-visual Speech Enhancement -- APNet2: High-quality and High-efficiency Neural Vocoder with Direct Prediction of Amplitude and Phase Spectra -- Within- and Between-Class Sample Interpolation Based Supervised Metric Learning for Speaker Verification -- Joint speech and noise estimation using SNR-adaptive target learning for deep-learning-based speech enhancement -- Data Augmentation By Finite Element Analysis for Enhanced Machine Anomalous Sound Detection -- A Fast Sampling Method in Diffusion-based Dance Generation Models -- End-to-end Streaming Customizable Keyword Spotting based on text-adaptive neural search -- The Production of Successive Addition Boundary Tone in Mandarin Preschoolers -- Emotional Support Dialog System Through Recursive Interactions Among Large Language Models -- Task-Adaptive Generative Adversarial Network based Speech Dereverberation for Robust Speech Recognition -- Real-time Automotive Engine Sound Simulation with Deep Neural Network -- A Framework Combining Separate and Joint Training for Neural Vocoder-Based Monaural Speech Enhancement -- Accent-VITS: accent transfer for end-to-end TTS -- Multi-branch Network with Cross-Domain Feature Fusion for Anomalous Sound Detection -- A Packet Loss Concealment Method Based on the Demucs Network Structure -- Improving Speech Perceptual Quality and Intelligibility through Sub-band Temporal Envelope Characteristics -- Adaptive Deep Graph Convolutional Network For Dialogical Speech Emotion Recognition -- Iterative Noisy-target Approach: Speech Enhancement without Clean Speech -- Joint Training or Not: An Exploration of Pre-trained Speech Models in Audio-Visual Speaker Diarization -- Zero-shot Singing Voice Conversion Method Based on Timbre Space Modeling and Excitation Signal Control -- A Comparative Study of Pre-trained Audio and Speech Models for Heart Sound Detection -- CAM-GUI: A Conversational Assistant on Mobile GUI -- A Pilot Study on the Prosodic Factors Influencing Voice Attractiveness of AI Speech -- The DKU-MSXF Diarization System for the VoxCeleb Speaker Recognition Challenge 2023 -- Chinese EFL Learners’ Auditory and Visual Perception of English Statement and Question Intonation: The Effect of Stress -- An Improved System for Partially Fake Audio Detection Using Pre-trained Model -- Leveraging Synthetic Speech for CIF-based Customized Keyword Spotting.
Record Nr. UNINA-9910838283003321
Jia Jia  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Man-Machine Speech Communication [[electronic resource] ] : 17th National Conference, NCMMSC 2022, Hefei, China, December 15–18, 2022, Proceedings / / edited by Ling Zhenhua, Gao Jianqing, Yu Kai, Jia Jia
Man-Machine Speech Communication [[electronic resource] ] : 17th National Conference, NCMMSC 2022, Hefei, China, December 15–18, 2022, Proceedings / / edited by Ling Zhenhua, Gao Jianqing, Yu Kai, Jia Jia
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (342 pages)
Disciplina 006.4
Collana Communications in Computer and Information Science
Soggetto topico Computer vision
Natural language processing (Computer science)
Signal processing
Artificial intelligence
User interfaces (Computer systems)
Human-computer interaction
Computer Vision
Natural Language Processing (NLP)
Signal, Speech and Image Processing
Artificial Intelligence
User Interfaces and Human Computer Interaction
Soggetto non controllato Science
ISBN 981-9924-01-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto MCPN: A Multiple Cross-Perception Network for Real-Time Emotion Recognition in Conversation -- Baby Cry Recognition Based on Acoustic Segment Model -- A Multi-feature Sets Fusion Strategy with Similar Samples Removal for Snore Sound Classification -- Multi-Hypergraph Neural Networks for Emotion Recognition in Multi-Party Conversations -- Using Emoji as an Emotion Modality in Text-Based Depression Detection -- Source-Filter-Based Generative Adversarial Neural Vocoder for High Fidelity Speech Synthesis -- Semantic enhancement framework for robust speech recognition -- Achieving Timestamp Prediction While Recognizing with Non-Autoregressive End-to-End ASR Model -- Predictive AutoEncoders are Context-Aware Unsupervised Anomalous Sound Detectors -- A pipelined framework with serialized output training for overlapping speech recognition -- Adversarial Training Based on Meta-Learning in Unseen Domains for Speaker Verification -- Multi-Speaker Multi-Style Speech Synthesis with Timbre and Style Disentanglement -- Multiple Confidence Gates for Joint Training of SE and ASR -- Detecting Escalation Level from Speech with Transfer Learning and Acoustic-Linguistic Information Fusion -- Pre-training Techniques For Improving Text-to-Speech Synthesis By Automatic Speech Recognition Based Data Enhancement -- A Time-Frequency Attention Mechanism with Subsidiary Information for Effective Speech Emotion Recognition -- Interplay between prosody and syntax-semantics: Evidence from the prosodic features of Mandarin tag questions -- Improving Fine-grained Emotion Control and Transfer with Gated Emotion Representations in Speech Synthesis -- Violence Detection through Fusing Visual Information to Auditory Scene -- Mongolian Text-to-Speech Challenge under Low-Resource Scenario for NCMMSC2022 -- VC-AUG Voice Conversion based Data Augmentation for Text-Dependent Speaker Verification -- Transformer-based potential emotional relation mining network for emotion recognition in conversation -- FastFoley Non-Autoregressive Foley Sound Generation Based On Visual Semantics -- Structured Hierarchical Dialogue Policy with Graph Neural Networks -- Deep Reinforcement Learning for On-line Dialogue State Tracking -- Dual Learning for Dialogue State Tracking -- Automatic Stress Annotation and Prediction For Expressive Mandarin TTS -- MnTTS2 An Open-Source Multi-Speaker Mongolian Text-to-Speech Synthesis Dataset.
Record Nr. UNINA-9910720086103321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Man-Machine Speech Communication [[electronic resource] ] : 17th National Conference, NCMMSC 2022, Hefei, China, December 15–18, 2022, Proceedings / / edited by Ling Zhenhua, Gao Jianqing, Yu Kai, Jia Jia
Man-Machine Speech Communication [[electronic resource] ] : 17th National Conference, NCMMSC 2022, Hefei, China, December 15–18, 2022, Proceedings / / edited by Ling Zhenhua, Gao Jianqing, Yu Kai, Jia Jia
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (342 pages)
Disciplina 006.4
Collana Communications in Computer and Information Science
Soggetto topico Computer vision
Natural language processing (Computer science)
Signal processing
Artificial intelligence
User interfaces (Computer systems)
Human-computer interaction
Computer Vision
Natural Language Processing (NLP)
Signal, Speech and Image Processing
Artificial Intelligence
User Interfaces and Human Computer Interaction
Soggetto non controllato Science
ISBN 981-9924-01-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto MCPN: A Multiple Cross-Perception Network for Real-Time Emotion Recognition in Conversation -- Baby Cry Recognition Based on Acoustic Segment Model -- A Multi-feature Sets Fusion Strategy with Similar Samples Removal for Snore Sound Classification -- Multi-Hypergraph Neural Networks for Emotion Recognition in Multi-Party Conversations -- Using Emoji as an Emotion Modality in Text-Based Depression Detection -- Source-Filter-Based Generative Adversarial Neural Vocoder for High Fidelity Speech Synthesis -- Semantic enhancement framework for robust speech recognition -- Achieving Timestamp Prediction While Recognizing with Non-Autoregressive End-to-End ASR Model -- Predictive AutoEncoders are Context-Aware Unsupervised Anomalous Sound Detectors -- A pipelined framework with serialized output training for overlapping speech recognition -- Adversarial Training Based on Meta-Learning in Unseen Domains for Speaker Verification -- Multi-Speaker Multi-Style Speech Synthesis with Timbre and Style Disentanglement -- Multiple Confidence Gates for Joint Training of SE and ASR -- Detecting Escalation Level from Speech with Transfer Learning and Acoustic-Linguistic Information Fusion -- Pre-training Techniques For Improving Text-to-Speech Synthesis By Automatic Speech Recognition Based Data Enhancement -- A Time-Frequency Attention Mechanism with Subsidiary Information for Effective Speech Emotion Recognition -- Interplay between prosody and syntax-semantics: Evidence from the prosodic features of Mandarin tag questions -- Improving Fine-grained Emotion Control and Transfer with Gated Emotion Representations in Speech Synthesis -- Violence Detection through Fusing Visual Information to Auditory Scene -- Mongolian Text-to-Speech Challenge under Low-Resource Scenario for NCMMSC2022 -- VC-AUG Voice Conversion based Data Augmentation for Text-Dependent Speaker Verification -- Transformer-based potential emotional relation mining network for emotion recognition in conversation -- FastFoley Non-Autoregressive Foley Sound Generation Based On Visual Semantics -- Structured Hierarchical Dialogue Policy with Graph Neural Networks -- Deep Reinforcement Learning for On-line Dialogue State Tracking -- Dual Learning for Dialogue State Tracking -- Automatic Stress Annotation and Prediction For Expressive Mandarin TTS -- MnTTS2 An Open-Source Multi-Speaker Mongolian Text-to-Speech Synthesis Dataset.
Record Nr. UNISA-996546844803316
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Mathematical Optimization Theory and Operations Research [[electronic resource] ] : 22nd International Conference, MOTOR 2023, Ekaterinburg, Russia, July 2–8, 2023, Proceedings / / edited by Michael Khachay, Yury Kochetov, Anton Eremeev, Oleg Khamisov, Vladimir Mazalov, Panos Pardalos
Mathematical Optimization Theory and Operations Research [[electronic resource] ] : 22nd International Conference, MOTOR 2023, Ekaterinburg, Russia, July 2–8, 2023, Proceedings / / edited by Michael Khachay, Yury Kochetov, Anton Eremeev, Oleg Khamisov, Vladimir Mazalov, Panos Pardalos
Autore Khachay Michael
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (459 pages)
Disciplina 519.6
Altri autori (Persone) KochetovYury
EremeevAnton
KhamisovOleg
MazalovVladimir
PardalosPanos
Collana Lecture Notes in Computer Science
Soggetto topico Mathematical optimization
Data structures (Computer science)
Information theory
Artificial intelligence
Application software
Signal processing
Discrete mathematics
Discrete Optimization
Data Structures and Information Theory
Artificial Intelligence
Computer and Information Systems Applications
Signal, Speech and Image Processing
Discrete Mathematics
ISBN 3-031-35305-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited papers -- General equilibrium models in production networks with substitution of inputs -- Mathematical programming and applications -- On decentralized nonsmooth optimization -- Byzantine-robust loopless stochastic variance-reduced gradient -- Semi-supervised k-means clustering via DC programming approach -- On the uniqueness of identification the thermal conductivity and heat capacit of substance -- On the uniqueness of identification the thermal conductivity and heat capacity of substance -- Discrete and combinatorial optimization -- Constant-factor approximation algorithms for some maximin multiclustering problems -- Aggregation tree construction using hierarchical structures -- Enumeration and unimodular equivalence of empty delta-modular simplices -- PTAS for p-means q-medoids r-given clustering problem -- Nested (2,3)-instances of the Cutting Stock Problem -- Stochastic optimization -- On the resource allocation problem to increase reliability of transport systems -- Distributionally robust optimization by probability criterion for estimating a bounded signal -- Scheduling -- Approximation algorithms for two-machine proportionate routing open shop on a tree -- MIP heuristics for a resource constrained project scheduling problem with workload stability constraints -- Hybrid evolutionary algorithm with optimized operators for total weighted tardiness problem -- Game theory -- Equilibrium arrivals to preemptive queueing system with fixed reward for completing request -- On optimal positional strategies in fractional optimal control problems -- On a single-type differential game of retention in a ring -- Harmonic numbers in Gambler’s Ruin Problem -- Exploitation and recovery periods in dynamic resource management problem -- Trade-off mechanism to sustain cooperation in pollution reduction -- Communication restriction-based characteristic function in differential games on networks -- Optimal control and mathematical economics -- Guaranteed expectation of the flock position with random distribution of items -- Method for solving a differential inclusion with a subdifferentiable support function of the right-hand side -- Approximate solution of small-time control synthesis problem based on linearization -- A Priori Estimates of the Objective Function in the Speed-in-Action Problem for a Linear Two-Dimensional Discrete-Time System -- An approach to solving input reconstruction problems in stochastic differential equations: dynamic algorithms and tuning their parameters -- Mathematical modeling of the household behavior on the labor market -- Visual positioning of a moving object using multi-objective control algorithm.
Record Nr. UNISA-996538665403316
Khachay Michael  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Mathematical Optimization Theory and Operations Research [[electronic resource] ] : 22nd International Conference, MOTOR 2023, Ekaterinburg, Russia, July 2–8, 2023, Proceedings / / edited by Michael Khachay, Yury Kochetov, Anton Eremeev, Oleg Khamisov, Vladimir Mazalov, Panos Pardalos
Mathematical Optimization Theory and Operations Research [[electronic resource] ] : 22nd International Conference, MOTOR 2023, Ekaterinburg, Russia, July 2–8, 2023, Proceedings / / edited by Michael Khachay, Yury Kochetov, Anton Eremeev, Oleg Khamisov, Vladimir Mazalov, Panos Pardalos
Autore Khachay Michael
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (459 pages)
Disciplina 519.6
Altri autori (Persone) KochetovYury
EremeevAnton
KhamisovOleg
MazalovVladimir
PardalosPanos
Collana Lecture Notes in Computer Science
Soggetto topico Mathematical optimization
Data structures (Computer science)
Information theory
Artificial intelligence
Application software
Signal processing
Discrete mathematics
Discrete Optimization
Data Structures and Information Theory
Artificial Intelligence
Computer and Information Systems Applications
Signal, Speech and Image Processing
Discrete Mathematics
ISBN 3-031-35305-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited papers -- General equilibrium models in production networks with substitution of inputs -- Mathematical programming and applications -- On decentralized nonsmooth optimization -- Byzantine-robust loopless stochastic variance-reduced gradient -- Semi-supervised k-means clustering via DC programming approach -- On the uniqueness of identification the thermal conductivity and heat capacit of substance -- On the uniqueness of identification the thermal conductivity and heat capacity of substance -- Discrete and combinatorial optimization -- Constant-factor approximation algorithms for some maximin multiclustering problems -- Aggregation tree construction using hierarchical structures -- Enumeration and unimodular equivalence of empty delta-modular simplices -- PTAS for p-means q-medoids r-given clustering problem -- Nested (2,3)-instances of the Cutting Stock Problem -- Stochastic optimization -- On the resource allocation problem to increase reliability of transport systems -- Distributionally robust optimization by probability criterion for estimating a bounded signal -- Scheduling -- Approximation algorithms for two-machine proportionate routing open shop on a tree -- MIP heuristics for a resource constrained project scheduling problem with workload stability constraints -- Hybrid evolutionary algorithm with optimized operators for total weighted tardiness problem -- Game theory -- Equilibrium arrivals to preemptive queueing system with fixed reward for completing request -- On optimal positional strategies in fractional optimal control problems -- On a single-type differential game of retention in a ring -- Harmonic numbers in Gambler’s Ruin Problem -- Exploitation and recovery periods in dynamic resource management problem -- Trade-off mechanism to sustain cooperation in pollution reduction -- Communication restriction-based characteristic function in differential games on networks -- Optimal control and mathematical economics -- Guaranteed expectation of the flock position with random distribution of items -- Method for solving a differential inclusion with a subdifferentiable support function of the right-hand side -- Approximate solution of small-time control synthesis problem based on linearization -- A Priori Estimates of the Objective Function in the Speed-in-Action Problem for a Linear Two-Dimensional Discrete-Time System -- An approach to solving input reconstruction problems in stochastic differential equations: dynamic algorithms and tuning their parameters -- Mathematical modeling of the household behavior on the labor market -- Visual positioning of a moving object using multi-objective control algorithm.
Record Nr. UNINA-9910734879703321
Khachay Michael  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
MEDICON’23 and CMBEBIH’23 [[electronic resource] ] : Proceedings of the Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON) and International Conference on Medical and Biological Engineering (CMBEBIH), September 14–16, 2023, Sarajevo, Bosnia and Herzegovina—Volume 1: Imaging, Engineering and Artificial Intelligence in Healthcare / / edited by Almir Badnjević, Lejla Gurbeta Pokvić
MEDICON’23 and CMBEBIH’23 [[electronic resource] ] : Proceedings of the Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON) and International Conference on Medical and Biological Engineering (CMBEBIH), September 14–16, 2023, Sarajevo, Bosnia and Herzegovina—Volume 1: Imaging, Engineering and Artificial Intelligence in Healthcare / / edited by Almir Badnjević, Lejla Gurbeta Pokvić
Autore Badnjević Almir
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (923 pages)
Disciplina 610.28
Altri autori (Persone) Gurbeta PokvićLejla
Collana IFMBE Proceedings
Soggetto topico Biomedical engineering
Biophysics
Signal processing
Biomedical Devices and Instrumentation
Bioanalysis and Bioimaging
Signal, Speech and Image Processing
ISBN 3-031-49062-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Multimodal Registration Algorithm of Plantar Pressure Images and Digital Scanner for the Characterization of the Diabetic Foot in the BASPI/FootLab Laboratory -- Semi-automated Calculation of Baroreflex Sensitivity (BRS) Indices -- Preliminary Assessment of the Samsung Galaxy Watch 5 Accuracy for the Monitoring of Heart Rate and Heart Rate Variability Parameters -- EEG Microstate Clustering to Evaluate Acoustic Stimulation Phase-locked Targeting of Slow Wave Sleep Activity -- Development of an Interpretable Model for Improving Differential Diagnosis in Subjects with a Left Ventricular Ejection Fraction Ranging from 40 to 55% -- Fractal Characteristics of Retinal Microvascular Network in Alzheimer's Disease and Colon Cancer in Automatically Segmented Fundus Images from the UK Biobank Database -- Classification of Atrial Fibrillation ECG Signals Using 2d CNN -- Feature Selection for Arrhythmia Classification Using Statistical -- Investigating the Physiology Behind Nose Thermal Response to Stress: A Cross-mapping Approach -- Comparing Valence-arousal and Positive-negative Affect Models of Affect: A Nonlinear Analysis of Continuously Annotated Emotion Ratings -- Postprandial Peak Identification from Continuous Glucose Monitoring Time Series -- Emotional State Evaluation in Driving Simulations: Pc Vs Virtual Theater -- Classification of Physiological States Through Machine Learning Algorithms Applied to Ultra-short-term Heart Rate and Pulse Rate Variability Indices on a Single-feature Basis -- Decomposition of HDsEMG Signals Recorded from a Forearm Extensor Muscle Based on Blind Source Separation -- Exploring the Predictability of EEG Signals Timed with the Heartbeat: A Model-based Approach for the Temporal and Spatial Characterization of the Brain Dynamics.
Record Nr. UNINA-9910799496703321
Badnjević Almir  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Micro-Electronics and Telecommunication Engineering [[electronic resource] ] : Proceedings of 7th ICMETE 2023 / / edited by Devendra Kumar Sharma, Sheng-Lung Peng, Rohit Sharma, Gwanggil Jeon
Micro-Electronics and Telecommunication Engineering [[electronic resource] ] : Proceedings of 7th ICMETE 2023 / / edited by Devendra Kumar Sharma, Sheng-Lung Peng, Rohit Sharma, Gwanggil Jeon
Autore Sharma Devendra Kumar
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (811 pages)
Disciplina 621.382
Altri autori (Persone) PengSheng-Lung
SharmaRohit
JeonGwanggil
Collana Lecture Notes in Networks and Systems
Soggetto topico Telecommunication
Electronic circuits
Signal processing
Electronics
Technology - Sociological aspects
Information technology
Communications Engineering, Networks
Electronic Circuits and Systems
Signal, Speech and Image Processing
Electronics and Microelectronics, Instrumentation
Information and Communication Technologies (ICT)
ISBN 981-9995-62-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Editors and Contributors -- Transportation in IoT-SDN Using Vertical Handoff Scheme -- 1 Introduction -- 2 Related Work -- 3 IoT Evolution -- 4 IoT with Transportation -- 4.1 IoT in Transportation: Applications -- 5 Intelligent Transportation Using a Vertical Handoff Method Based on Software-Defined Networks -- 6 Brief Analysis of Various Proposed Schemes and Results -- 7 Conclusion -- References -- MLP-Based Speech Emotion Recognition for Audio and Visual Features -- 1 Introduction -- 2 Review of Literature Research -- 3 Problem Statement -- 3.1 Dataset Description -- 3.2 Dataset Details -- 4 Proposed System -- 4.1 Data Exploration -- 4.2 Feature Extraction -- 5 Classifiers -- 5.1 Multi-layer Perceptron -- 5.2 Support Vector Machine -- 5.3 Random Forest Classifier -- 5.4 Decision Tree -- 6 Experimental Results -- 7 Conclusion -- References -- Drain Current and Transconductance Analysis of Double-Gate Vertical Doped Layer TFET -- 1 Introduction -- 2 Schematics of VDL-TFET -- 3 Simulations and Result -- 4 Conclusion -- References -- OpenFace Tracker and GoogleNet: To Track and Detect Emotional States for People with Asperger Syndrome -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Data Preprocessing -- 3.2 Cues Generation -- 3.3 Training Step -- 4 Results and Discussions -- 5 Conclusion -- References -- Vehicle Classification and License Number Plate Detection Using Deep Learning -- 1 Introduction -- 2 Literature Review -- 3 Proposed Model -- 4 Result -- 5 Conclusion -- References -- Car Price Prediction Model Using ML -- 1 Introduction -- 2 Literature Review -- 3 Proposed Model -- 3.1 Algorithm -- 4 Result -- 5 Conclusion -- 6 Future Scope -- References -- Effects of Material Deformation on U-shaped Optical Fiber Sensor -- 1 Introduction -- 2 Theory -- 3 Design Considerations and Results.
3.1 Sensor Characteristics -- 3.2 Evanescent Wave Absorbance -- 3.3 Sensitivity -- 4 Conclusion -- References -- Classification of DNA Sequence for Diabetes Mellitus Type Using Machine Learning Methods -- 1 Introduction -- 2 Related Works -- 3 Proposed System -- 4 Dataset -- 5 Data Preprocessing -- 5.1 Handle Missing Values -- 5.2 List to String -- 5.3 K-mer -- 5.4 Oversampling -- 5.5 Ordinal Encoding -- 5.6 Min-Max Normalization -- 6 Feature Selection -- 6.1 ANOVA -- 6.2 F-Regressor -- 6.3 Mutual Information -- 7 Classification -- 7.1 Random Forest -- 7.2 Gaussian NB -- 7.3 Support Vector Machine -- 7.4 Decision Tree -- 8 Results and Discussion -- 9 Conclusion -- References -- Unveiling the Future: A Review of Financial Fraud Detection Using Artificial Intelligence Techniques -- 1 Introduction -- 2 Literature Review -- 2.1 Machine Learning Techniques for Financial Fraud Detection -- 2.2 Deep Learning for Financial Fraud Detection -- 2.3 Ensemble Methods for Financial Fraud Detection -- 2.4 Unsupervised and Semi-supervised Learning for Financial Fraud Detection -- 2.5 Explainable AI for Financial Fraud Detection -- 2.6 Feature Selection and Feature Engineering -- 3 Models and Methodologies -- 3.1 FDS of Bayesian Learning and Dempster-Shafer Theory -- 3.2 The Evolutionary-Fuzzy System -- 3.3 Deep Artificial Neural Networks -- 3.4 BLAST-SSAHA Hybridization -- 3.5 Decision Tree -- 4 Conclusion -- References -- Remodeling E-Commerce Through Decentralization: A Study of Trust, Security and Efficiency -- 1 Introduction -- 2 Background and Related Work -- 3 Research Approach -- 3.1 Study Design -- 3.2 Proposed System Architecture -- 3.3 Implementation Methodology -- 4 Result -- 4.1 Gas Fees and Time Cost Analysis -- 4.2 Reliability Analysis -- 5 Conclusions and Future Scopes -- 5.1 Conclusions -- 5.2 Future Scopes -- References.
Estimation of Wildfire Conditions via Perimeter and Surface Area Optimization Using Convolutional Neural Network -- 1 Introduction -- 2 Existing Systems -- 3 Proposed System Architecture -- 4 Module Implementation -- 4.1 Collection of Data -- 4.2 Preprocessing the Data -- 4.3 Extraction of Features -- 4.4 Evaluating the Model -- 5 Result Analysis -- 6 Conclusion -- 7 Future Enhancements -- References -- A Framework Provides Authorized Personnel with Secure Access to Their Electronic Health Records -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Security Framework -- 4 Key Features of the Proposed Security Framework -- 5 Experimental Results and Discussion -- 6 Conclusion and Future Enhancement -- References -- Explainable Artificial Intelligence for Deep Learning Models in Diagnosing Brain Tumor Disorder -- 1 Introduction -- 2 Literature Review -- 3 XAI Approaches -- 3.1 Local Interpretable Model-Agnostic Explanations (LIMEs) -- 3.2 SHapley Additive ExPlanations (SHAPs) -- 3.3 Integrated Gradients -- 3.4 Gradient-Weighted Class Activation Mapping (Grad-CAM) -- 4 Results and Discussion -- 5 Conclusion -- References -- Pioneering a New Era of Global Transactions: Decentralized Overseas Transactions on the Blockchain -- 1 Introduction -- 2 Existing Solution -- 2.1 International Wire Transfer -- 2.2 Transactions via Cryptocurrency -- 3 Proposed Solution by Conversion of Fiat Currency -- 3.1 A Unified Payment Interface Decentralized Finance App Works Globally -- 4 Conclusion -- References -- A Perspective Review of Generative Adversarial Network in Medical Image Denoising -- 1 Introduction -- 2 Related Works -- 3 Various Types of Image-Denoising Methods Using GAN -- 4 Performance Metrics -- 5 Significance of Image Denoising Utilizing GAN -- 6 Conclusion -- References -- Osteoporosis Detection Based on X-Ray Using Deep Convolutional Neural Network.
1 Introduction -- 2 Related Works -- 3 Proposed System -- 4 Methodology -- 4.1 Preprocessing -- 4.2 Smudging -- 4.3 Deep Convolutional Neural Network (DCNN) -- 5 Result Analysis and Discussion -- 6 Conclusion -- References -- Fault Prediction and Diagnosis of Bearing Assembly -- 1 Introduction -- 2 Hardware Designing -- 2.1 AC Motor -- 2.2 T-Coupling -- 2.3 Setup Holding Base -- 2.4 Ball Bearing -- 2.5 Shaft -- 2.6 Pulley and Belt -- 2.7 Load Controller -- 2.8 Electronic Weight Machine -- 2.9 NI DAQ Card -- 2.10 Vibration Sensor -- 3 Experimental Procedure -- 4 Simulation for Fault Diagnosis -- 4.1 Parameter and Operating Conditions -- 5 Result -- 5.1 Plots for Different Loads -- 6 Conclusion -- 7 Summary -- 8 Future Scope -- References -- Bearing Fault Diagnosis Using Machine Learning Models -- 1 Introduction -- 2 Methodology -- 2.1 SVM -- 2.2 SVM Kernels -- 2.3 KNN -- 2.4 Decision Tree -- 2.5 Random Forest -- 2.6 Regression -- 3 Methodology of Machine Learning Model -- 4 Techniques for Extracting and Selecting Features from Data -- 5 Relationship Between the Statistical Features -- 6 Data Description -- 7 Comparative Study of Statistical Features -- 8 Result -- 9 Conclusion -- 10 Summary -- 11 Future Scope -- References -- A High-Payload Image Steganography Based on Shamir's Secret Sharing Scheme -- 1 Introduction -- 2 Related Work -- 3 Proposed Steganography Technique -- 3.1 Secret Distributing Scheme (SDS) -- 3.2 Shamir's Secret Sharing (SSS) Scheme for Protecting Hidden Secret Information -- 3.3 Proposed PVD-Based Steganography Method -- 4 Results and Experimental Findings -- 4.1 Robustness and Varying Embedding Capacity -- 4.2 Comparative Analysis -- 5 Conclusion -- References -- Design and Comparison of Various Parameters of T-Shaped TFET of Variable Gate Lengths and Materials -- 1 Introduction -- 2 Device Structure and Simulation.
3 Comparative Analysis on Devices and Discussion -- 3.1 ON Current and OFF Current -- 3.2 Subthreshold Swing (SSavg) -- 3.3 Transconductance (gm) -- 4 Results -- 4.1 Transfer Characteristics of Device -- 4.2 Transconductance Analysis (gm) -- 4.3 Band-to-Band Tunneling -- 4.4 Electric Field -- 4.5 Surface Potential -- 5 Conclusion -- References -- Experiment to Find Out Suitable Machine Learning Algorithm for Enzyme Subclass Classification -- 1 Introduction -- 2 Background -- 3 Brief Description of Methods Used in the Study -- 3.1 Experiment Using Logistic Regression Model -- 3.2 Experiment Using SVM -- 3.3 Experiment Using Random Forest -- 4 Computational Procedure -- 5 Data -- 6 Results and Discussion -- 7 Conclusion and Future Work -- References -- Iris Recognition Method for Non-cooperative Images -- 1 Introduction -- 2 Structure of Iris -- 3 Iris Segmentation -- 4 Literature Review -- 5 Methodology -- 5.1 Image Acquisition -- 5.2 Segmentation -- 5.3 Iris Normalization -- 5.4 Features Extraction (Iris Code) -- 5.5 Matching -- 6 Results -- 7 Conclusions -- References -- An Exploration: Deep Learning-Based Hybrid Model for Automated Diagnosis and Classification of Brain Tumor Disorder -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results and Discussion -- 5 Conclusion -- References -- Recognition of Apple Leaves Infection Using DenseNet121 with Additional Layers -- 1 Introduction -- 2 DenseNet with Additional Layers -- 2.1 Preprocessing -- 2.2 Architecture -- 3 Dataset -- 4 Results -- 5 Conclusion -- References -- Techniques for Digital Image Watermarking: A Review -- 1 Introduction -- 2 Watermarking Techniques -- 3 Foundations of Presented Work -- 4 Process of Watermarking -- 5 Characteristics of Watermarking -- 6 Parameters of Quality Evaluation -- 7 Applications of the Image Watermarking -- 8 Conclusion -- References.
Improved Traffic Sign Recognition System for Driver Safety Using Dimensionality Reduction Techniques.
Record Nr. UNINA-9910845496103321
Sharma Devendra Kumar  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Micro-Electronics and Telecommunication Engineering [[electronic resource] ] : Proceedings of 6th ICMETE 2022 / / edited by Devendra Kumar Sharma, Sheng-Lung Peng, Rohit Sharma, Gwanggil Jeon
Micro-Electronics and Telecommunication Engineering [[electronic resource] ] : Proceedings of 6th ICMETE 2022 / / edited by Devendra Kumar Sharma, Sheng-Lung Peng, Rohit Sharma, Gwanggil Jeon
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (676 pages)
Disciplina 621.381
Collana Lecture Notes in Networks and Systems
Soggetto topico Telecommunication
Signal processing
Artificial intelligence
Communications Engineering, Networks
Signal, Speech and Image Processing
Artificial Intelligence
Soggetto non controllato Electronics
Artificial Intelligence
Telecommunication
Technology & Engineering
Computers
ISBN 981-19-9512-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Smart home based on IoT by using machine learning -- Develop Model for Malicious Traffic Detection Using Deep Learning -- An Adaptive Opposition Learning-Improved Slime Mould Algorithm-Based Optimization Routing for guaranteeing Reliable Data Dissemination in FANETs -- Covid-19 Diagnosis based on Deep Features using Transfer Learning.
Record Nr. UNINA-9910728948803321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mueller-Matrix Tomography of Biological Tissues and Fluids [[electronic resource] ] : Digital Image Processing and Analysis Techniques / / by Zhengbing Hu, Yuriy A. Ushenko, Iryna V. Soltys, Oleksandr V. Dubolazov, M. P. Gorsky, Oleksandr V. Olar, Liliya Yu. Trifonyuk
Mueller-Matrix Tomography of Biological Tissues and Fluids [[electronic resource] ] : Digital Image Processing and Analysis Techniques / / by Zhengbing Hu, Yuriy A. Ushenko, Iryna V. Soltys, Oleksandr V. Dubolazov, M. P. Gorsky, Oleksandr V. Olar, Liliya Yu. Trifonyuk
Autore Hu Zhengbing
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (XIII, 115 p. 83 illus., 59 illus. in color.)
Disciplina 621.36
Collana SpringerBriefs in Applied Sciences and Technology
Soggetto topico Optics
Image processing
Cancer - Imaging
Signal processing
Materials - Microscopy
Medical physics
Applied Optics
Image Processing
Cancer Imaging
Signal, Speech and Image Processing
Microscopy
Medical Physics
ISBN 981-9982-28-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Analytical Review of the Methods of Multifunctional Digital Mueller-matrix Laser Polarimetry -- Materials and Methods of Computer-Assisted Digital Mueller-Matrix Tomography of Biological Tissues and Fluids -- Differential Diagnosis of Tumors of the Prostate. Polarization-Singular Approach -- Polarization-Interference Mapping of Microscopic Images of Biological Layers and Polycrystalline Blood Films in the Differential Diagnosis of Benign and Malignant Tumors of the Prostate -- Information Analysis of Polarization-Holographic Mapping of Microscopic Images of Biological Samples of Tumors of the Prostate and Polycrystalline Blood Films in the Differential Diagnosis of the Severity of Pathological Conditions.
Record Nr. UNINA-9910799219803321
Hu Zhengbing  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui