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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy [[electronic resource] ] : SPIoT-2020, Volume 1 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma
| The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy [[electronic resource] ] : SPIoT-2020, Volume 1 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XXXI, 884 p. 221 illus., 150 illus. in color.) |
| Disciplina | 620.00285 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Engineering—Data processing
Cooperating objects (Computer systems) Computational intelligence Machine learning Big data Data Engineering Cyber-Physical Systems Computational Intelligence Machine Learning Big Data |
| ISBN | 3-030-62743-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483068103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy [[electronic resource] ] : SPIoT-2020, Volume 2 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma
| The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy [[electronic resource] ] : SPIoT-2020, Volume 2 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XXXII, 863 p. 222 illus., 128 illus. in color.) |
| Disciplina | 004.678 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Engineering—Data processing
Cooperating objects (Computer systems) Computational intelligence Machine learning Big data Data Engineering Cyber-Physical Systems Computational Intelligence Machine Learning Big Data |
| ISBN | 3-030-62746-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483082303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The 2x2 Matrix [[electronic resource] ] : Contingency, Confusion and the Metrics of Binary Classification / / by A. J. Larner
| The 2x2 Matrix [[electronic resource] ] : Contingency, Confusion and the Metrics of Binary Classification / / by A. J. Larner |
| Autore | Larner A. J |
| Edizione | [2nd ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (262 pages) |
| Disciplina | 570.15195 |
| Soggetto topico |
Biometry
Neurology Medical informatics Machine learning Biostatistics Health Informatics Machine Learning |
| ISBN | 3-031-47194-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Paired measures -- Paired complementary measures -- Unitary measures -- Number needed (reciprocal) measures and their combinations as likelihoods -- Quality (Q) measures -- Graphing methods -- Other measures, other tables -- Classification of metrics of binary classification. |
| Record Nr. | UNINA-9910799487003321 |
Larner A. J
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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6GN for Future Wireless Networks [[electronic resource] ] : 6th EAI International Conference, 6GN 2023, Shanghai, China, October 7-8, 2023, Proceedings, Part II / / edited by Jingchao Li, Bin Zhang, Yulong Ying
| 6GN for Future Wireless Networks [[electronic resource] ] : 6th EAI International Conference, 6GN 2023, Shanghai, China, October 7-8, 2023, Proceedings, Part II / / edited by Jingchao Li, Bin Zhang, Yulong Ying |
| Autore | Li Jingchao |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (293 pages) |
| Disciplina | 004.6 |
| Altri autori (Persone) |
ZhangBin
YingYulong |
| Collana | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Soggetto topico |
Computer networks
Artificial intelligence Image processing - Digital techniques Computer vision Signal processing Information storage and retrieval systems Machine learning Computer Communication Networks Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Signal, Speech and Image Processing Information Storage and Retrieval Machine Learning |
| ISBN | 3-031-53404-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Image, Video, and Signal Processing -- Detection of Green Walnuts on Trees Using the Improved YOLOv7 Model -- Disease Recognition of Plants Leaves in Northern Shaanxi based on Siamese Networks -- Application of MED-TET to feature extraction of vibration signals -- A NOVEL PHASE CONGRUENCY-BASED IAMGE MATCHING METHOD FOR HETEROGENOUS IMAGES -- Design of Image Based Optical Flow Tracking and Positioning System in Intelligent Assembly -- A Review of Image and Point Cloud Fusion in Autonomous Driving -- Deep learning in strawberry growth monitoring research: A review -- Image, Video, and Signal Processing & Software Engineering -- Stepwise Change and Refine Network for Human Pose Transfer -- Performance Analysis of Web Server side Reactive Programming -- Improved Sparrow Search Algorithm Optimized Neural Network Analysis Of Traffic Congestion -- Industrial Noisy Speech Enhancement Using Joint Time-Frequency Loss Function Based on U-Net -- Multiple Color Feature and Contextual Attention Mechanism based on YOLOX -- Improved War Strategy Optimization Algorithm Based on Hybrid Strategy -- Quantitative Analysis on Coin Flipping Protocol -- Communications Systems and Networking & Control and Automation Systems -- Research on Cost Optimization of UAV Network Routing Protocol Based on OLSR Protocol -- A Lightweight Fault Diagnosis Model of Rolling Bearing Based on Gramian Angular Field and EfficientNet-B0 -- ISAC Device-free Sensing Method for V2V System -- Fuzzy sliding mode trajectory tracking control for omnidirectional mobile robots based on exponential convergence law -- Image Classification Method Base on Contrastive Learning -- Research on RFID Indoor Localization Algorithm Based on Virtual Tags and Fusion of LANDMARC and Kalman Filter -- Computer Systems and Applications -- Research on information Literacy Teaching of Library MOOC based on Constructivism -- Research on Smart Library System Based on Big Data -- Smoke segmentation method based on super pixel segmentation and convolutional neural network -- Research on Distributed Routing Technology for LEO Satellite Network -- Analysis of Weld Pool Characteristics in Narrow Gap GTAW Welding Based on Passive Vision. |
| Record Nr. | UNINA-9910842499603321 |
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Li Jingchao
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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6GN for Future Wireless Networks [[electronic resource] ] : 6th EAI International Conference, 6GN 2023, Shanghai, China, October 7-8, 2023, Proceedings, Part I / / edited by Jingchao Li, Bin Zhang, Yulong Ying
| 6GN for Future Wireless Networks [[electronic resource] ] : 6th EAI International Conference, 6GN 2023, Shanghai, China, October 7-8, 2023, Proceedings, Part I / / edited by Jingchao Li, Bin Zhang, Yulong Ying |
| Autore | Li Jingchao |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (438 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
ZhangBin
YingYulong |
| Collana | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Soggetto topico |
Artificial intelligence
Computer networks Image processing - Digital techniques Computer vision Signal processing Application software Machine learning Artificial Intelligence Computer Communication Networks Computer Imaging, Vision, Pattern Recognition and Graphics Signal, Speech and Image Processing Computer and Information Systems Applications Machine Learning |
| ISBN | 3-031-53401-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intelligent Systems -- 2D Map Generation Considering 3D Spatial Information of Objects for a Guide Dog Robot -- Development of an Image Generation System for Expressing Auditory Environment to Hearing-impaired People -- Robust Object Recognition and Command Understanding for a House Tidying-up Robot -- 3D Point Cloud Based Object Recognition and 3D Mapping -- Intelligent Inspection System of Coal Preparation Plant Based on Dynamic QR Code -- On The Construction of Information Management System for Railroad Grouping Station Operation -- Research on short term power load forecasting based on Wavelet and BiLSTM -- Big data mining, D2D Communication, Security and Privacy for 6G Networks -- Spectrum Allocation Algorithm based on Improved Chimp Optimization Algorithm -- Research on Model Evaluation Technology Based on Modulated Signal Identification -- Parking space matching and pathplanning based on Wolf feeding decision algorithm in large underground garage -- Research on physical layer authentication method of internet of things based on contour stellar images and convolutional neural network -- Double IRS-Aided Dual-function Radar and Communication System -- Channel Estimation for RIS Communication System with Deep scaled Least Squares -- Algorithmic protection study based on a virtual location -- Artificial intelligent techniques for 6G Networks -- Subway Double-door Anti-pinch Based On RGBD Binary Classification Network -- Design and Implementation of Intelligent IoT Paper Pumping System Based on Face Recognition of Loongson Processor -- Aluminum Defect Detection based on Weighted Feature Fusion Mechanism -- MS TextSpotter: An Intelligent Instance Segmentation Scheme for Semantic Scene Text Recognition in Asian Social Networks -- Improved solar photovoltaic panel defect detection technology based on YOLOv5 -- YOLO-L:A YOLO-BASED ALGORITHM FOR REMOTE SENSING IMAGE TARGET DETECTION -- Power and Energy Systems I -- An effective N-BEATS network model for short term load forecasting -- A Novel Ultra Short-Term Load Forecasting Algorithm of a Small Microgrid Based on Support Vector Regression -- Laser welding process of lithium battery lugs based on finite element simulation -- Failure and Stress Analysis of Cylindrical Springs -- Detection of Corrosion Areas in Power Equipment Based on Improved YOLOv5s Algorithm with CBAM Attention Mechanism -- Power and Energy Systems -- TASE-net: a short-term load forecasting model based on Temperature Accumulation Sequence Effect -- Predicting time series energy consumption based on Transformer and LSTM -- Predicting Wind Turbine Power Output based on XGBoost -- Loop Closure Detection Based on Local and Global Descriptors with Sinkhorn Algorithm -- Stainless steel crack detection based on MATLAB -- Power and Energy Systems -- A new combination model for offshore wind power prediction considering the number of climbing features -- Fault Diagnosis Method of Gas Turbine Combustion Chamber Based on CNN-GRU Model Analysis -- Research on Key Intelligent System in Unmanned Surface Vessel -- Simulation research on thermal management of hydrogen fuel cell for UAV -- Performance analysis on a coupled system of gas turbine and air cycle driven by waste heat of flue gas. . |
| Record Nr. | UNINA-9910842495003321 |
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Li Jingchao
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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8th International Conference on Advancements of Medicine and Health Care Through Technology [[electronic resource] ] : Proceedings of MEDITECH 2022, October 20–22, 2022, Cluj-Napoca, Romania / / edited by Simona Vlad, Nicolae Marius Roman
| 8th International Conference on Advancements of Medicine and Health Care Through Technology [[electronic resource] ] : Proceedings of MEDITECH 2022, October 20–22, 2022, Cluj-Napoca, Romania / / edited by Simona Vlad, Nicolae Marius Roman |
| Autore | Vlad Simona |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (266 pages) |
| Disciplina | 610.28 |
| Altri autori (Persone) | RomanNicolae Marius |
| Collana | IFMBE Proceedings |
| Soggetto topico |
Biomedical engineering
Signal processing Machine learning Biomedical Devices and Instrumentation Signal, Speech and Image Processing Machine Learning |
| ISBN | 3-031-51120-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Hepatocellular Carcinoma Recognition from Ultrasound Images Through Convolutional Neural Networks and Their Combinations -- Detecting Polyps in Endoscopic Images with U-net Based Architectures - A Preliminary Evaluation -- U-net Network Optimization for 3d Reconstruction in Robotic Sils Pre-planning Phase -- Classification of Hemorrhagic Stroke Lesions Based on Ct Images and Machine Learning Algorithms. A Study on a Highly Imbalanced Dataset -- Medical Image Data Cleansing for Machine Learning: A Must in the Evidence-based Medicine? -- Classification of Liver Abnormality in Ultrasonic Images Using Hilbert Transform Based Feature -- Cataract Diagnosis Using Convolutional Neural Networks Classifiers. A Preliminary Study -- Comparison Between Different Methods of Segmentation in Dental Image Processing -- Assisted Assessment of Visual Stress – Method to Prevent and Reduce the Risk of Visual Function Loss -- Influence of the Conventional and Planar Yagi Uda Antenna on Human Tissues -- Air Quality Monitoring in a Home Using a Low-cost Device Built Around the Arduino Mega 2560 Platform -- BE-AI: A Beaconized Platform with Machine Learning Capabilities -- Ehealth Mobile Application Using Fitbit Smartwatch -- Experimental Research upon Neutralisation with Ozone of Chemical and Microbiological Pollutants from Sewage Wastewater -- Integrating Iot in Educational Engineering Application Development - an Emerging Paradigm. |
| Record Nr. | UNINA-9910799497003321 |
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Vlad Simona
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Accelerated optimization for machine learning : first-order algorithms / / Zhouchen Lin, Huan Li, Cong Fang
| Accelerated optimization for machine learning : first-order algorithms / / Zhouchen Lin, Huan Li, Cong Fang |
| Autore | Lin Zhouchen |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (286 pages) |
| Disciplina | 006.31 |
| Soggetto topico |
Machine learning - Mathematics
Mathematical optimization Computer mathematics Machine Learning Optimization Math Applications in Computer Science Computational Mathematics and Numerical Analysis |
| ISBN |
981-15-2910-8
9789811529108 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- Chapter 2. Accelerated Algorithms for Unconstrained Convex Optimization -- Chapter 3. Accelerated Algorithms for Constrained Convex Optimization -- Chapter 4. Accelerated Algorithms for Nonconvex Optimization -- Chapter 5. Accelerated Stochastic Algorithms -- Chapter 6. Accelerated Paralleling Algorithms -- Chapter 7. Conclusions. |
| Record Nr. | UNISA-996465342403316 |
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Lin Zhouchen
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| Singapore : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Accelerated optimization for machine learning : first-order algorithms / / Zhouchen Lin, Huan Li, Cong Fang
| Accelerated optimization for machine learning : first-order algorithms / / Zhouchen Lin, Huan Li, Cong Fang |
| Autore | Lin Zhouchen |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (286 pages) |
| Disciplina | 006.31 |
| Soggetto topico |
Machine learning - Mathematics
Mathematical optimization Computer mathematics Machine Learning Optimization Math Applications in Computer Science Computational Mathematics and Numerical Analysis |
| ISBN |
981-15-2910-8
9789811529108 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- Chapter 2. Accelerated Algorithms for Unconstrained Convex Optimization -- Chapter 3. Accelerated Algorithms for Constrained Convex Optimization -- Chapter 4. Accelerated Algorithms for Nonconvex Optimization -- Chapter 5. Accelerated Stochastic Algorithms -- Chapter 6. Accelerated Paralleling Algorithms -- Chapter 7. Conclusions. |
| Record Nr. | UNINA-9910409667103321 |
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Lin Zhouchen
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| Singapore : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Accountable and Explainable Methods for Complex Reasoning over Text [[electronic resource] /] / by Pepa Atanasova
| Accountable and Explainable Methods for Complex Reasoning over Text [[electronic resource] /] / by Pepa Atanasova |
| Autore | Atanasova Pepa |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (208 pages) |
| Disciplina | 006.35 |
| Soggetto topico |
Natural language processing (Computer science)
Information storage and retrieval systems Machine learning Natural Language Processing (NLP) Information Storage and Retrieval Machine Learning |
| ISBN | 3-031-51518-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Executive Summary -- Part I: Accountability for Complex Reasoning Tasks over Text -- 2. Fact Checking with Insufficient Evidence -- 3. Generating Label Cohesive and Well-Formed Adversarial Claims -- Part II: Explainability for Complex Reasoning Tasks over Text -- 4. Generating Fact Checking Explanations -- 5. Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing -- 6. Multi-Hop Fact Checking of Political Claims -- Part III: Diagnostic Explainability Methods -- 7. A Diagnostic Study of Explainability Techniques for Text Classification -- 8. Diagnostics-Guided Explanation Generation -- 9. Recent Developments on Accountability and Explainability for Complex Reasoning Tasks. |
| Record Nr. | UNINA-9910847589903321 |
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Atanasova Pepa
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4 [[electronic resource] ] : Proceedings of the 2023 Annual Conference & Exposition on Experimental and Applied Mechanics / / edited by Sharlotte L.B. Kramer, Emily Retzlaff, Piyush Thakre, Johan Hoefnagels, Marco Rossi, Attilio Lattanzi, François Hemez, Mostafa Mirshekari, Austin Downey
| Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4 [[electronic resource] ] : Proceedings of the 2023 Annual Conference & Exposition on Experimental and Applied Mechanics / / edited by Sharlotte L.B. Kramer, Emily Retzlaff, Piyush Thakre, Johan Hoefnagels, Marco Rossi, Attilio Lattanzi, François Hemez, Mostafa Mirshekari, Austin Downey |
| Autore | Kramer Sharlotte L. B |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (101 pages) |
| Disciplina | 670 |
| Altri autori (Persone) |
RetzlaffEmily
ThakrePiyush HoefnagelsJohan RossiMarco LattanziAttilio HemezFrançois MirshekariMostafa DowneyAustin |
| Collana | Conference Proceedings of the Society for Experimental Mechanics Series |
| Soggetto topico |
Industrial engineering
Production engineering Machine learning Artificial intelligence - Data processing Materials - Analysis Industrial and Production Engineering Machine Learning Data Science Materials Characterization Technique |
| ISBN | 3-031-50474-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Quantifying residual stresses generated by laser powder bed fusion of metallic samples -- Chapter 2. Loading-Unloading Compressive Response and Energy Dissipation of Liquid Crystal Elastomers and Their 3D Printed Lattice Structures at Low and Intermediate Strain Rates -- Chapter 3. Residual Stress Induced in Thin Plates During Additive Manufacturing -- Chapter 4. Investigating the Effects of Acetone Vapor Treatment and Post Drying Conditions on Tensile and Fatigue behavior of 3D Printed ABS Components -- Chapter 5. Mechanics of Novel Double-Rounded-V Hierarchical Auxetic Structure - Finite Element Analysis and Experiments Using Three-dimensional Digital Image Correlation -- Chapter 6. Repeatability of Residual Stress in Replicate Additively Manufactured 316L Stainless Steel Samples -- Chapter 7. Acoustic nondestructive characterization of metal pantographs for material and defect identification -- Chapter 8. Rapid prototyping of a micro-scale spectroscopic system by two-photon direct laser writing -- Chapter 9. Bioinspired Interfaces for Improved Interlaminar Shear Strength in 3D Printed Multi-Material Polymer Composites -- Chapter 10. Thermo-mechanical Characterization of High-strength Steel through Inverse Methods -- Chapter 11. A multi-testing approach for the full calibration of 3D anisotropic plasticity models via inverse methods -- Chapter 12. Finite Element Based Material Property Identification Utilizing Full-Field Deformation Measurements -- Chapter 13. Data-driven material models for engineering materials subjected to arbitrary loading paths: influence of the dimension of the dataset -- Chapter 14. Data-driven methodology to extract stress fields in materials subjected to dynamic loading. |
| Record Nr. | UNINA-9910838279403321 |
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Kramer Sharlotte L. B
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning
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