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[null,"1.","Record Nr.",null,"UNINA9910682596003321"]
[null,null,"Titolo",null,"Artificial Intelligence and Smart Environment : ICAISE’2022 / / edited by Yousef Farhaoui, Alvaro Rocha, Zouhaier Brahmia, Bharat Bhushab"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"3-031-26254-9"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (947 pages)"]
[null,null,"Collana",null,"Lecture Notes in Networks and Systems, , 2367-3389 ; ; 635"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Engineering - Data processing"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Data Engineering"]
[{"$nulls":4},"Artificial Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Chairman of ICAISE'2022 -- Contents -- A Collaborative Fog-Based Healthcare Intrusion Detection Security Using Blockchain and Machine Learning -- 1 Introduction -- 2 Review and Related Work -- 3 Proposal Model -- 3.1 IDS Using Catboost -- 3.2 Collaboration with Blockchain -- 4 Conclusion and Future Work -- References -- A Combined Approach of Computer Vision and NLP for Documents Data Extraction -- 1 Introduction -- 2 Problematic Statement -- 3 Related Work -- 4 Dataset Construction -- 4.1 Dataset -- 4.2 Labeling -- 5 Proposed Approach -- 5.1 Architecture -- 6 Experiments Model Training and Results -- 6.1 Results Discussion -- 7 Conclusion and Future Work -- References -- A Comprehensive Analysis of Novel Intrusion Detection Systems for Internet of Things Networks -- 1 Introduction -- 2 Analysis of Intrusion Detection Systems for IoT -- 3 Discussion -- 4 Conclusions -- References -- A Coupled Graph Theoric and Deep Learning Approaches for Nonrigid Image Registration -- 1 Introduction -- 2 Theory and Methods -- 2.1 Nonrigid Image Registration -- 2.2 Graph Cuts for Image Registration -- 2.3 Proposed Approach -- 3 Results and Discussion -- 4 Conclusion and Next Directions -- References -- A Deep Convolutional Neural Networks for the Detection of Breast Cancer Using Mammography "]
[{"$nulls":4},"Images -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Experimental Results -- 4.1 Effectiveness -- 4.2 Efficiency -- 5 Discussion -- 6 Conclusion -- References -- A Dynamic Panel Data Analysis on the Impact of Quality of Institutions on the Economic Growth: Evidence from Wu-Hausman Specification Test -- 1 Introduction -- 2 Mathematical Modeling -- 3 Estimation and Discussion -- 3.1 Estimation -- 3.2 Fixed or Random Effect Model -- 3.3 Discussion of the Findings -- 4 Conclusion and Policy Implications -- References."]
[{"$nulls":4},"A Literature Review of Solar Cell Overheating Control -- 1 Introduction -- 2 Autonomous Technologies for Preventing Overheating in Solar Collectors -- 3 Innovative Smart Selective Coating -- 4 The Usage of Supercritical Fluids -- 5 Nanofluids in Solar Thermal Collectors -- 6 Hybrid Solar Collectors and Overheating -- 7 Discussion -- 8 Conclusion -- References -- A Machine Learning-Based Model for Energy Efficiency Classification of an Unmanned Aerial Vehicle -- 1 Introduction -- 2 Materials and Methods -- 2.1 Gathering Information and Defining Variables -- 2.2 Model Design -- 2.3 Improved Releif-F Algorithm -- 2.4 K-Nearest Neighbor (KNN) -- 2.5 Evaluation Measures -- 3 Results and Analysis -- 4 Conclusion -- References -- A New CBIR Search Engine with a Vision Transformer Architecture -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Pre-processing -- 2.3 Methods -- 3 Results and Discussion -- 4 Conclusions and Perspectives -- References -- A New Coronary Artery Stenosis Detection Method with a Hybrid LSTM-CNN Model -- 1 Introduction -- 2 Related Works -- 3 Proposed Approach -- 3.1  VGG16 Model -- 3.2 Hybrid CNN-LSTM Model -- 3.3 Explainable Deep Learning -- 4 Evaluation Dataset -- 4.1 Dataset -- 4.2 Pre-processing Phase -- 5 Experimental Results -- 5.1 Sensitivity (Recall) and Specificity (Precision) -- 5.2 Confusion Matrix -- 5.3 Training and Testing Curves -- 5.4 Explainability -- 6 Conclusion and Future Work -- References -- A New Four-Ports MIMO Antenna for 5G IoT Applications -- 1 Introduction -- 2 Design Flow -- 2.1 Single Element Antenna -- 2.2 Two-Element Array -- 2.3 MIMO Antenna -- 3 Comparison of Results -- 4 Conclusion -- References -- A New Proof of the Sobolev Logarithmic Inequality on the Circle R/2πZ -- 1 Introduction -- 2 Preliminaries -- 3 Main Results -- References."]
[{"$nulls":4},"A New Robust Adaptive Control for Variable Speed Wind Turbine -- 1 Introduction -- 2 The System of Wind Turbine -- 3 Problem Statement -- 4 Stability Analysis -- 5 Simulation Results -- 6 Conclusion -- References -- A New Version of the Alkhalil Morpho Sys 2 Analyzer for Contemporary Documents -- 1 Introduction -- 2 State of Art -- 2.1 Out of Context Analyzers -- 2.2 Analyzers in Context -- 3 Building a Contemporary Vocabulary of Arabic -- 3.1 Collection and Pre-processing of the Contemporary Corpus -- 3.2 Morphological Analysis of the Corpus -- 4 New Version of the Alkhalil Analyzer for the MSA -- 4.1 Construction of the New Database of the Alkhalil Analyzer -- 4.2 Comparison Between Alkhalil Morpho Sys 2 and the New Version -- 5 Conclusion -- References -- A Proposed Machine Learning Model for Intrusion Detection in VANET -- 1 Introduction -- 2 Related Works -- 3 Proposed Work -- 4 Evaluation Study -- 5 Conclusion and Future Works -- References -- A Quadratic Observer for Sensorless Drive System Controller -- 1 Introduction -- 2 Luneberger Observer -- 3 Application of Luenberger Observer (LO) to PMSM -- 4 Simulation Results of LO with Classical PI Controller -- 5 Conclusion -- References -- A Review of the Application of Artificial Intelligence for Weather Prediction in Solar Energy: Using Artificial Neural Networks -- 1 Introduction -- 2 Methods -- 2.1 Analysis -- 3 Results and Discussion "]
[{"$nulls":4},"-- 4 Conclusion -- References -- A Sorting-AB Approach for an Enhanced IDS in Cloud Environment -- 1 Introduction -- 2 Background and Related Works -- 3 Proposed Sorting-AB IDS Framework -- 4 Results and Discussions -- 5 Conclusion -- References -- A SWOT Analysis for Healthcare Using Machine Learning -- 1 Introduction -- 2 Literature Review -- 2.1 Applications of ML in Healthcare -- 3 Research Methodology -- 3.1 SWOT Analysis -- 4 Discussion of Results."]
[{"$nulls":4},"5 Conclusion -- References -- A Systematic Review on LiDAR-Based 3D Object Detection -- 1 Introduction -- 2 LiDAR-Based 3D Object Detection -- 2.1 Single-Stage Methods -- 2.2 Two-Stage Methods -- 3 Advantages and Limitations -- 3.1 Advantages -- 3.2 Limitations -- 4 Discussion -- 5 Conclusion and Perspectives -- References -- Adaptive Neural Fuzzy Inference System (ANFIS) in a Grid Connected-Fuel Cell-Electrolyser-Solar PV-Battery-Super Capacitor Energy Storage System Management -- 1 Introduction -- 2 Mathematical Modelling and Description of System Components -- 2.1 PV Model -- 2.2 Fuel Cell -- 2.3 Pack Battery -- 2.4 Super Capacitor Model -- 3 Results and Discussion -- 4 Conclusion and Future Work -- References -- AI Applications in Smart Cities Between Advantages and Security Challenge -- 1 Introduction -- 2 Research Methodology -- 3 Background and Related Works -- 3.1 Smart City: An Emergent Paradigm -- 3.2 AI as a New Support for Smart City -- 4 AI and Smart Cities: Applications and Benefits -- 4.1 Smart Transport -- 4.2 Smart Healthcare -- 4.3 Urban Environment -- 4.4 Smart Home -- 4.5 Smart Government -- 4.6 Smart Learning -- 4.7 Smart Security -- 5 Challenges of AI in Smart Cities -- 5.1 Social Challenges -- 5.2 Economic Challenges -- 5.3 Legal Issues -- 5.4 Ethical and Privacy Challenges -- 5.5 Security Issues -- 6 Conclusion and Future Works -- References: -- An Analysis of NDN-IoHT Congestion Control Policies -- 1 Introduction -- 2 Congestion in IoHT -- 2.1 Receiver-Based Control -- 2.2 Hop-by-Hop Control -- 2.3 Hybrid Control -- 3 Discussion -- 4 Conclusion -- References -- An Enhanced Artificial Hummingbird Algorithm for Workflow Scheduling in Cloud -- 1 Introduction -- 2 Related Work -- 3 The Problem Formulation -- 4 The Proposed Algorithm -- 5 Simulation Results -- 6 Conclusion -- References."]
[{"$nulls":4},"An Enhanced Medical Diagnosis System for Malaria and Typhoid Fever Using Genetic Neuro-Fuzzy System -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Collection -- 2.2 Fuzzy Logic Component -- 2.3 Genetic Neuro-Fuzzy Inference Engine -- 2.4 Decision Support Engine Component -- 2.5 The Performance Metrics Used for the Proposed System -- 3 Results and Discussion -- 3.1 Training the Model -- 3.2 Testing the System -- 3.3 The Proposed System Performance -- 3.4 The Comparison of the Proposed Model with ANN, and Fuzzy Logic -- 4 Conclusion -- References -- An Image Encryption Algorithm Based on Substitution and Diffusion Chaotic Boxes -- 1 Introduction -- 2 Chaotic Sequences -- 3 Encryption Setting Design -- 3.1 S-Box and D-Box Construction -- 3.2 Initialization Vector Computation -- 3.3 Chaotic Vector Generation -- 4 Encryption and Decryption Process -- 4.1 Encryption Process -- 4.2 Decryption Process -- 5 Experimental Simulation and Security Analysis -- 5.1 Statistical Analysis -- 5.2 Differential Analysis -- 6 Comparison with Other Works -- 7 Conclusion -- References -- An Image Encryption Scheme Based on DNA Sequence Operations and Chaotic System -- 1 Introduction -- 2 The Proposed Method -- 2.1 Chaotic Sequences Development -- 2.2 Plain Image Preparation -- 2.3 Diffusion Process -- 2.4 Passage to Binary Vector -- 2.5 Transition to Nucleotid Vector -- 2.6 Generation of a Chaotic Nucleotide Vectors "]
[{"$nulls":4},"-- 2.7 Transformation of the Binary Image to Nucleotide Image -- 2.8 Genetic Operations -- 2.9 Decryption Process -- 3 Simulation and Security Analysis -- 3.1 Key-Space Analysis -- 3.2 Secret Key's Sensitivity Analysis -- 3.3 Histogram Analysis -- 3.4 Entropy Analysis -- 3.5 Correlation Analysis -- 3.6 Differential Analysis -- 4 Conclusion -- References."]
[{"$nulls":4},"An Improvement to the Cloud Service Research and Selection System's Usage of the Skyline Algorithm."]
[null,null,null,"Sommario/riassunto","This book reviews the state of the art of big data analysis, artificial intelligence, and smart environments. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science, artificial intelligence, and smart environments inspire novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. This book reviews the state of the art of big data analysis, artificial intelligence, and smart environments. It includes issues that pertain to signal processing, probability models, machine learning, data mining, database, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart city, etc. The papers in this book were the outcome of research conducted in this field of study. The latter makes use of applications and techniques related to data analysis in general and big data and smart city in particular. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers, and industrial researchers, as well as anyone interested in big data analysis and artificial intelligence."]
[null,"2.","Record Nr.",null,"UNINA9910523754903321"]
[null,null,"Titolo",null,"Ultrasonography for the Upper Limb Surgeon / / edited by Thomas Apard, Jean Louis Brasseur"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022"]
[null,null,"ISBN",null,"3-030-84234-7"]
[null,null,"Edizione",null,"[1st ed. 2022.]"]
[null,null,"Descrizione fisica",null,"1 online resource (194 pages)"]
[null,null,"Collana",null,"Medicine Series"]
[null,null,"Disciplina",null,"616.07543"]
[{"$nulls":4},"617.5707543"]
[null,null,"Soggetti",null,"Orthopedics"]
[{"$nulls":4},"Radiology"]
[{"$nulls":4},"Sports medicine"]
[{"$nulls":4},"Physical therapy"]
[{"$nulls":4},"Orthopaedics"]
[{"$nulls":4},"Sports Medicine"]
[{"$nulls":4},"Physiotherapy"]
[{"$nulls":4},"Braç"]
[{"$nulls":4},"Espatlla"]
[{"$nulls":4},"Ecografia"]
[{"$nulls":4},"Diagnòstic per la imatge"]
[{"$nulls":4},"Llibres electrònics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"I Shoulder -- 1 Ultrasonography of the rotator cuff -- 2 ultrasonography of the postoperative long biceps tendon -- 3 ultrasonography of the coracoid apophysis -- 4 ultrasonography of the acromioclavicular joint -- 5 ultrasonography of the shoulder arthroplasty -- II Elbow -- 6 ultrasonography of the lateral side of the elbow -- 7 ultrasonography of the median nerve at the elbow -- 8 ultrasonography of the ulnar nerve at the elbow -- 9 ultrasonography of the radial nerve at the elbow -- III – Forearm -- Chapter 10 ultrasonography of the interosseous membrane at the forearm -- 11 ultrasonography of the pronator quadratus -- IV Wrist/Hand -- 12 ultrasonography of the extensor carpi ulnaris tendon -- 13 ultrasonography of the scapholunate ligament -- 14 ultrasonography "]
[{"$nulls":4},"of the carpal tunnel -- 15 ultrasonography of triangular fibrocartilage complex -- 16 ultrasonography of De Quervain tenosynovitis -- 17 ultrasonography of the trapezometatacarpal joint -- V Finger -- 18 ultrasonography of the flexor tendons of the finger -- 19 ultrasonography of extensor tendons of the finger -- 20 ultrasonography of the metacarpophalangeal joint of the thumb -- 21 ultrasonography of the nail. ."]
[null,null,null,"Sommario/riassunto","This book combines orthopedists’ and radiologists’ perspectives to provide a comprehensive overview of the rapidly expanding use of ultrasound in orthopedic surgery. It also highlights the growing awareness of the potential of this non-invasive and portable, real-time imaging tool, which has led to its inclusion in the minimally invasive toolkit of upper limb surgeons. The book is divided into five parts – shoulder, elbow, forearm, hand and wrist and fingers. Each part focuses on a particular anatomic region or joint, carefully analyzing the sonoanatomy of its nerves, tendons and bones. For each region, experienced experts illustrate how to perform specific techniques under ultrasound control, ranging from classic procedures, like carpal tunnel release, to the treatment of less common conditions. Covering all the basic and practical aspects of this innovative, multi-disciplinary approach, as well as future perspectives, this unique book is a must-read for all orthopedists, radiologists, sports physicians and physiotherapist wanting to gain insights into this promising field."]