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Advances in intelligent systems and applications [[electronic resource] ] . Volume 1 : proceedings of the International Computer Symposium ICS 2012 held at Hualien, Taiwan, December 12-14, 2012 / / Ruay-Shiung Chang, Lakhmi C. Jain, and Sheng-Lung Peng (eds.)
| Advances in intelligent systems and applications [[electronic resource] ] . Volume 1 : proceedings of the International Computer Symposium ICS 2012 held at Hualien, Taiwan, December 12-14, 2012 / / Ruay-Shiung Chang, Lakhmi C. Jain, and Sheng-Lung Peng (eds.) |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | New York, : Springer, 2013 |
| Descrizione fisica | 1 online resource (720 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
ChangRuay-Shiung
JainL. C PengSheng-Lung |
| Collana | Smart innovation, systems, and technologies |
| Soggetto topico |
Artificial intelligence
Fuzzy systems Intelligent control systems Expert systems (Computer science) Neural networks (Computer science) |
| ISBN |
1-283-93551-1
3-642-35452-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Graph Theory and Algorithms -- Interconnection Networks and Combinatorial Algorithms -- Arti cial Intelligence and Fuzzy Systems -- Database, Data Mining, and Information Retrieval -- Information Literacy, e-Learning, and Social Media -- Computer Networks and Web Service/Technologies -- Wireless Sensor Networks -- Wireless Network Protocols -- Wireless Data Processing. |
| Record Nr. | UNINA-9910437899003321 |
| New York, : Springer, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied computational technologies : proceedings of ICCET 2022 / / edited by Brijesh Iyer, Tom Crick, and Sheng-Lung Peng
| Applied computational technologies : proceedings of ICCET 2022 / / edited by Brijesh Iyer, Tom Crick, and Sheng-Lung Peng |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (776 pages) |
| Disciplina | 621.382 |
| Collana | Smart Innovation, Systems and Technologies |
| Soggetto topico |
Electrical engineering
Information technology Telecommunication |
| ISBN | 981-19-2719-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Patron -- Program and Organizing Chairs -- International Advisory Board -- Technical Program Committee -- Organizing and Publicity Committee -- Editor's of the Conference Proceedings -- Steering Committee -- Contents -- About the Authors -- Applied Computations using Deep and Machine Learning -- Classification of Traffic Signs Using Deep Learning-Based Approach for Smart Cities -- 1 Introduction -- 2 Related Works -- 3 Material and Methods -- 3.1 Dataset Collection and Preprocessing -- 3.2 Model Architecture and Learning -- 4 Performance Evaluation -- 5 Conclusions -- References -- Sentimental Analysis of Twitter Data on Online Learning During Unlock Phase of COVID-19 -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Extracting Dataset -- 3.2 Data Pre-processing and Cleaning -- 3.3 Exploratory Data Analysis -- 4 Results and Discussions -- 5 Conclusion -- References -- Bonafide Satellite Landslide Image Detection Using Deep Learning -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Data Pre-processing -- 3.2 Functioning of Error Level Analysis (ELA) -- 3.3 ANN Model Construction -- 3.4 Experimental Setup -- 4 Result and Analysis -- 4.1 Performance Analysis -- 5 Conclusions -- References -- Deep Learning Approach for Predicting the Price of Cryptocurrencies -- 1 Introduction -- 1.1 Related Work -- 2 Methodologies -- 2.1 Problem Statement -- 2.2 System Architecture -- 2.3 Long Short-Term Memory (LSTM) -- 2.4 Evaluation Matrices -- 3 The Experimental Analysis -- 3.1 Dataset Used -- 3.2 Data Pre-processing and Implementation -- 3.3 Results -- 3.4 Evaluation -- 4 Conclusions -- References -- Deep Learning and Super-Hybrid Textual Feature Based Multi-category Thematic Classifier for Punjabi Poetry -- 1 Introduction -- 2 Literature Survey -- 3 Methodology.
3.1 Building Punjabi Poetry Corpus -- 3.2 Poetry-Pre-processing -- 3.3 Feature Selection -- 3.4 Model Building -- 3.5 Performance Evaluation -- 4 Result and Analysis -- 4.1 Results Using LEX Feature -- 4.2 Results Using LEXSYN Feature -- 4.3 Results Using LEXSEM Feature -- 4.4 Results Using SUPER HYBRID Feature -- 4.5 Accuracy Based Comparative Analysis -- 4.6 F1-Measure Based Comparative Analysis -- 5 Conclusions -- References -- Attention Based Deep Learning Techniques for Question Classification in Question Answering Systems -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 Conclusions -- References -- Optimized Fuzzy Hypersphere Neural Network with Online Adaptation Capability -- 1 Introduction -- 2 Literature Survey -- 3 The OFHSNNwOC Approach -- 3.1 Basic Definitions -- 3.2 The OFHSNNwOC Algorithm -- 3.3 The OFHSNNwOC Architecture -- 4 Performance Evaluation -- 4.1 2-D Example: Optimized Centre Points and Radii Calculation of FHSs -- 4.2 2-D Example: For Online Adaptation -- 4.3 Comparison of Recognition Rate and Number of HBs/Hss -- 4.4 Analysis of Online Adaptation Capability -- 5 Conclusions -- References -- Built-Up Area Extraction on Multispectral Satellite Data Using Simple CNN -- 1 Introduction -- 2 Related Works -- 3 Dataset -- 4 Methodology and Experimentation -- 5 Results and Discussions -- 6 Conclusion and Future scope -- References -- Framework of CNN Architecture for Fashion Image Classification -- 1 Introduction -- 2 Literature Review -- 3 Proposed Architecture -- 3.1 Convolutional Neural Network Architecture -- 4 Experimental Setup and Results -- 4.1 Dataset -- 4.2 Evaluation Measures -- 4.3 Comparative Evaluation with Existing Methods -- 5 Conclusions -- References -- A Novel CNN Framework for Early-Stage Detection of Blindness in Diabetic Patients -- 1 Introduction -- 2 Dataset -- 3 Methodology. 3.1 Image Preprocessing and Augmentation -- 3.2 Model Selection -- 3.3 Training the Model -- 3.4 Validation -- 4 Results -- 5 Conclusions -- References -- Design and Development of Loan Predictor Using Machine Learning -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 About Data Preprocessing -- 3.2 About Dataset -- 4 Results and Discussions -- 4.1 Hyper-parameter Tuning -- 4.2 Limitations -- 5 Conclusions -- References -- An Analysis of Document Summarization for Educational Data Classification Using NLP with Machine Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Existing Methodologies -- 3.1 Principal Component Analysis: -- 3.2 Linear Discriminate Analysis -- 3.3 Random Forest -- 4 The Educational Document Abstraction Using Text Mining with Machine Learning Classifiers -- 4.1 Text Mining Algorithm -- 4.2 Fuzzy Latent Semantic Algorithm -- 5 Comparison of Existing Algorithms -- 6 Conclusions -- References -- Detection of Disease in Plants with Android Integration Using Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Process Flow -- 4 Implementation of System -- 4.1 Dataset Collection -- 4.2 Image Acquisition -- 4.3 Pre-processing of the Images -- 4.4 Disease Detection and Classification -- 5 Results and Discussions -- 5.1 Android Implementation -- 6 Conclusions -- References s -- Analysis of Post-flood Impacts on Sentinel-2 Data Using Non-parametric Machine Learning Classifiers: A Case Study from Bihar Floods, Saharsa, India -- 1 Introduction -- 2 Flood Mapping Using Satellite Data -- 3 Study Area, Data Preparation, and Pre-processing -- 4 The Methodology and Classifiers Used -- 5 Results and Discussion -- 6 Conclusions -- References -- Performance Analysis of Quantitative Software Vulnerability Prioritization Techniques -- 1 Introduction. 2 Quantitative Vulnerability Prioritization Techniques -- 2.1 CVSS -- 2.2 VRSS -- 2.3 WIVSS -- 3 Other Techniques -- 3.1 Prioritization of Vulnerability Types Using MCDM Techniques -- 3.2 Prioritization Using Vulnerability Description -- 3.3 Estimation of Vulnerability Exploitation -- 4 Performance Analysis -- 5 Conclusion and Future Work -- References -- Accessibility and Performance Evaluation of Healthcare and E-Learning Sites in India: A Comparative Study Using TAW and GTMetrix -- 1 Introduction -- 2 Literature Review -- 2.1 Limitations of the Studies -- 2.2 Research Objectives -- 3 Methodology -- 3.1 Automated Tools -- 3.2 Accessibility and Performance Metrics -- 4 Results and Discussions -- 4.1 Accessibility Evaluation -- 4.2 Performance Evaluation -- 5 Conclusion and Future Recommendations -- References -- Performance Analysis of Cardiovascular Diseases Using Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 Issues and Challenges -- 4 Methodologies -- 4.1 Dataset -- 4.2 Pre-processing of ECG Signals -- 4.3 Clustering of Unsupervised Data -- 4.4 Applying Machine Learning Classification for Final Prediction -- 5 Conclusions -- References -- A Deep Learning Paradigm for Computer Aided Diagnosis of Emphysema from Lung HRCT Images -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Preprocessing -- 2.3 Proposed Method -- 2.4 Simulated Database Description -- 3 Implementation of Deep Learning Models -- 3.1 Feature Extraction Using Basic CNN -- 3.2 Feature Extraction Using Pre-trained VGG16 for Transfer Learning -- 4 Results and Discussion -- 5 Conclusions -- References -- Deep Learning Convolution Neural Network for Tomato Leaves Disease Detection by Inception -- 1 Introduction -- 2 Literature Survey -- 3 Convolution Neural Network (CNN) -- 3.1 Convolution Layer -- 3.2 Pooling Layers -- 3.3 Fully Connected Layers. 3.4 Activation Function -- 4 Methodology -- 4.1 A Block Diagram -- 4.2 Data Collection/Image Acquisition -- 4.3 Image Preprocessing -- 4.4 Model Architecture -- 4.5 Lab Setup -- 5 Result and Discussion -- 5.1 Statistical Analysis -- 6 Conclusions -- References -- Sarcasm Detection in Hindi-English Code-Mixed Tweets Using Machine Learning Algorithms -- 1 Introduction -- 1.1 Techniques Used to Detect Sarcasm -- 2 Literature Survey -- 3 Dataset and Performance Measure -- 4 Methodology -- 4.1 Data Preprocessing -- 4.2 Feature Extraction -- 4.3 Feature Selection -- 4.4 Classification Models -- 5 Result and Analysis -- 6 Conclusion and Future Work -- References -- Efficient Automated Disease Diagnosis Using Machine Learning Models -- 1 Introduction -- 2 Literature Review -- 3 Research Objective -- 4 Methodology -- 5 Conclusion and Future Scope -- References -- Plant Disease Classification Using Transfer Learning -- 1 Introduction -- 2 Related Studies -- 3 Methodology -- 3.1 Dataset Description -- 3.2 Transfer Learning-Based Architecture -- 4 Performance Assessment -- 5 Conclusions -- References -- Performance Assessment for Heart-Disease Prediction Using Machine Learning Algorithms -- 1 Introduction -- 2 Literature Review -- 3 Material and Methods -- 3.1 Dataset -- 3.2 Classification Schemes -- 4 Performance Analysis -- 5 Conclusions -- References -- Human Behavior Analysis: Applications and Machine Learning Algorithms -- 1 Introduction -- 2 Domains and Applications -- 2.1 Education -- 2.2 Transportation -- 2.3 Online Social Network -- 2.4 Health Care -- 2.5 Corporate World -- 2.6 Surveillance -- 2.7 Future Domains and Applications -- 3 Features and Input Capturing -- 3.1 Features -- 3.2 Input Devices -- 4 Algorithms -- 4.1 Machine Learning Algorithms -- 5 Conclusions -- References. Advancement of Deep Learning and Its Substantial Impact on the Diagnosis of COVID-19 Cases. |
| Record Nr. | UNINA-9910568290203321 |
| Gateway East, Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational intelligence techniques for combating COVID-19 / / Sandeep Kautish, Sheng-Lung Peng, Ahemd J. Obaid, editors
| Computational intelligence techniques for combating COVID-19 / / Sandeep Kautish, Sheng-Lung Peng, Ahemd J. Obaid, editors |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (X, 390 p. 154 illus., 129 illus. in color.) |
| Disciplina | 006.3 |
| Collana | EAI/Springer innovations in communication and computing |
| Soggetto topico | Artificial intelligence |
| ISBN | 3-030-68936-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Machine Intelligence Techniques for Identification and Diagnosis of COVID-19 -- AI and ML approaches for Drug Discovery and Manufacturing for COVID-19 -- Medical Imaging Diagnosis and Analysis for COVID-19 -- Personalized Medicines and vaccines development for COVID-19 -- Machine Learning and Behavioral Modification for COVID-19 -- Smart Health Record Management Techniques for COVID-19 -- Intelligent Clinical Trials for COVID-19 -- Crowdsourcing and Data Collection for COVID-19 -- Radiotherapy for COVID-19 -- Outbreak Prediction for COVID-19 -- Intelligent Mobile Applications for COVID-19 -- Internet of Things enabled applications and design Challenges -- Big Data Enabled Solutions for COVID-19 -- Electronic Governance Policies for Pandemic Crisis -- Use of Automation and Robots to Fight Coronavirus -- AR, VR and New-Age Technologies Demand Escalates Amid COVID-19 -- Unlocking Potentials of NLP to Fight against COVID-19 Crisis -- Chatbots for Coronavirus -- Conclusion. |
| Record Nr. | UNINA-9910484638803321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computing and Network Sustainability : Proceedings of IRSCNS 2018 / / edited by Sheng-Lung Peng, Nilanjan Dey, Mahesh Bundele
| Computing and Network Sustainability : Proceedings of IRSCNS 2018 / / edited by Sheng-Lung Peng, Nilanjan Dey, Mahesh Bundele |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXVI, 525 p. 280 illus., 189 illus. in color.) |
| Disciplina | 621.382 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Electrical engineering
Computer communication systems Computer security Communications Engineering, Networks Computer Communication Networks Systems and Data Security |
| ISBN | 981-13-7150-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Snaring Cyber Attacks on IoT Devices with Honeynet -- Image Enhancement Using Morphological Operations: A Case Study -- Evaluation of e-NAM Adoption: A Case of Jetalpur Mandi, Gujarat -- A New Technique For Extrinsic Text Summarization -- Dynamic provisioning of Cloud resource based on workload prediction -- Conceptual Machine Learning Framework for Initial Data Analysis -- The Role of Social Factors in Education: A case study in Social Network Perspective -- Investigating the Effect of Compression and Decompression in Video using Fractal Technique. |
| Record Nr. | UNINA-9910350275003321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Computing and Innovation on Data Science : Proceedings of ICTIDS 2021 / / edited by Sheng-Lung Peng, Sun-Yuan Hsieh, Suseendran Gopalakrishnan, Balaganesh Duraisamy
| Intelligent Computing and Innovation on Data Science : Proceedings of ICTIDS 2021 / / edited by Sheng-Lung Peng, Sun-Yuan Hsieh, Suseendran Gopalakrishnan, Balaganesh Duraisamy |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (589 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Internet of things Artificial intelligence—Data processing Computational Intelligence Artificial Intelligence Internet of Things Data Science Intel·ligència artificial |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 981-16-3153-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Combined Minimum Spanning Tree and Particle Swarm Optimization for the Design of the Cable Layout in Offshore Wind Farms -- A Novel Framework to Perform Efficient Analysis of Animal Sciences Using Big Data -- Comparative Study on Challenges & Detection of Brain tumor using Machine Learning Algorithm -- Bio-Medical Scan Image Retrieval Using Higher Order Neural Networks -- Deep learning in Image signal processing for minimal method by using kernel DBN network -- Implementation and Performance Analysis of Various Models of PCNN for Medical Image Segmentation -- Exploring Intention to Use E-Government: the Role of Technology Acceptance Model with Self- Efficacy and System Quality -- Drone – An Assistive Device For Aquacare Monitoring -- Car damage detection and Cost Evaluation using MASK R-CNN -- Comparison of Multi-Dimensional Hyperspectral Image with SIFT Image Mosaic Methods for Mosaic Better Accuracy -- Big data background on the bank account for progress of income improvement on customers on cloud accounting -- Improving Content Delivery on User Behavior Using Data Analytics -- An Enhanced Cos-Neuro Bio-Inspired Approach for Document Clustering -- Analyzing DistilBERT for Sentiment Classification of Banking Financial News -- Predication of Dairy Milk Production using Machine Learning Techniques. |
| Record Nr. | UNINA-9910502661503321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Computing and Innovation on Data Science : Proceedings of ICTIDS 2019 / / edited by Sheng-Lung Peng, Le Hoang Son, G. Suseendran, D. Balaganesh
| Intelligent Computing and Innovation on Data Science : Proceedings of ICTIDS 2019 / / edited by Sheng-Lung Peng, Le Hoang Son, G. Suseendran, D. Balaganesh |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (795 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Big data Computer security Computational Intelligence Artificial Intelligence Big Data Systems and Data Security |
| ISBN | 981-15-3284-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Comprehensive Guide to Implementation of Data Warehouse in Education -- Computational Biology Tool Towards Studying the Interaction Between Azadirachtin Plant Compound with Cervical Cancer Proteins -- Intelligent Agent Based Organization For Studying the Big Five Personality Traits -- Automatic Pruning of Rules Through Multi-Objective Optimization – A Case Study With a Multi-Objective Cultural Algorithm -- Knowledge Genesis And Dissemination: Impact On Performance In Information Technology Services -- Artificial Intelligence Based Load Balancing In Cloud Computing Environment: A Study -- Implementation of Statistical Data Analytics in Data Science Life Cycle -- A Big Data Analytics-Based Design for Viable Evolution of Retail Sector -- Document Content Analysis Based on Random Forest Algorithm -- Sensing The Prostatectomy in Neuroendocrine Metastatic Active Surveillance in Data Mining Techniques -- Work Load Forecasting Based On Big Data Characteristics In Cloud Systems -- Phrase Extraction Using Pattern Based Bootstrapping Approach -- IOT Based Trash Collection Bin Using Arduino. |
| Record Nr. | UNINA-9910484009103321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Computing Paradigm and Cutting-edge Technologies : Proceedings of the First International Conference on Innovative Computing and Cutting-edge Technologies (ICICCT 2019), Istanbul, Turkey, October 30-31, 2019 / / edited by Lakhmi C. Jain, Sheng-Lung Peng, Basim Alhadidi, Souvik Pal
| Intelligent Computing Paradigm and Cutting-edge Technologies : Proceedings of the First International Conference on Innovative Computing and Cutting-edge Technologies (ICICCT 2019), Istanbul, Turkey, October 30-31, 2019 / / edited by Lakhmi C. Jain, Sheng-Lung Peng, Basim Alhadidi, Souvik Pal |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (495 pages) |
| Disciplina | 006.3 |
| Collana | Learning and Analytics in Intelligent Systems |
| Soggetto topico |
Computational intelligence
Engineering—Data processing Computer engineering Internet of things Embedded computer systems Computational Intelligence Data Engineering Cyber-physical systems, IoT |
| ISBN | 3-030-38501-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Brexit Twitter Sentiment Analysis: Changing Opinions about Brexit and UK Politicians -- Chapter 2: A Clustering Algorithm for Multi-density Datasets -- Chapter 3: Generate a New Types of Fuzzy Ψi-operator -- Chapter 4: Programs Features Clustering to find Optimization Sequence using Genetic algorithm -- Chapter 5: Complex Event Processing Based Analysis of Cassini–Huygens Interplanetary Dataset -- Chapter 6: Integrating OpenMTC framework into oneM2M Architecture for a Secure IoT Environment. |
| Record Nr. | UNINA-9910483822803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Robots and Cobots : Industry 5. 0 Applications
| Intelligent Robots and Cobots : Industry 5. 0 Applications |
| Autore | Ramasamy V |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2025 |
| Descrizione fisica | 1 online resource (0 pages) |
| Altri autori (Persone) |
BalamuruganS
PengSheng-Lung |
| Collana | Industry 5. 0 Transformation Applications Series |
| ISBN |
9781394198252
1394198256 9781394198245 1394198248 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Series Page -- Title Page -- Copyright Page -- Dedication Page -- Contents -- Preface -- Acknowledgement -- Part 1: Fundamentals -- Chapter 1 Cobots for Industry 5.0 Transformation -- 1.1 Introduction -- 1.2 Related Works -- 1.3 IoT for Industries -- 1.4 Issues with Cobots in Industry 5.0 -- 1.5 Cobots in Industries -- 1.6 Automation and Cobots -- 1.7 Conclusion -- References -- Chapter 2 Cobots as an Enabling Technique for Industry 5.0: A Conceptual Framework -- 2.1 Introduction -- 2.2 Industry 5.0 at a Glance -- 2.3 Industry 4.0 vs. Industry 5.0 -- 2.4 Key Differences Between Robots and Cobots -- 2.5 Cobots as an Enabling Technique for Industry 5.0 -- 2.6 The Contribution of Cobots Across Different Sectors -- 2.6.1 Manufacturing -- 2.6.2 Healthcare -- 2.6.3 Packaging -- 2.6.4 Aerospace and Electronics -- 2.6.5 Textile -- 2.6.6 Agriculture -- 2.6.7 Construction -- 2.6.8 Logistics -- 2.6.9 Automotive -- 2.6.10 Food Processing -- 2.7 A Conceptual Cobot-Based Cyber-Physical System -- 2.7.1 Need for Cobot: Problem Formulation and its Analysis -- 2.7.2 Synthesizing Cobot: Characteristics of Design -- 2.7.3 Cobot Selection -- 2.7.4 Selection of the Gripper -- 2.7.5 Tentative Design Proposal, Simulation, Conditional Prediction, and Evaluation -- 2.7.6 Design of Cobot as a Multi-Perspective System Viewpoint -- 2.8 The Risk and Security Issues with Respect to Cobots and Their Mitigations -- 2.8.1 Safety-Rated Monitored Stop -- 2.8.2 Hand-Guiding -- 2.8.3 Speed and Separation Monitoring -- 2.8.4 Power and Force Limitation -- 2.9 Conclusion -- References -- Chapter 3 Role of Cobots and Industrial Robots in Industry 5.0 -- 3.1 Introduction -- 3.2 Role of Cobots -- 3.3 Programming Flowchart -- 3.3.1 Steps Involved -- 3.4 Objectives of Research in Cobots -- 3.5 Capabilities and Features of Cobots for Industrial Applications.
3.6 Industrial Developments and Different Degrees of Collaboration by Cobots -- 3.7 Cobot Applications -- 3.7.1 Assembly -- 3.7.2 Pick and Place -- 3.7.3 Packaging and Palletizing -- 3.7.4 Quality Control -- 3.7.5 Welding -- 3.8 Challenges Faced by Cobots -- 3.9 Economic Impact of Cobots -- 3.10 Components Required -- 3.10.1 Robot Arm -- 3.10.2 End Effector -- 3.10.3 Sensors -- 3.10.4 Control System -- 3.10.5 Power Source -- 3.10.6 Communication System -- 3.10.7 Mounting Structure -- 3.10.8 Mobility -- 3.11 Integration of Cobots with Other Technologies -- 3.12 Discussion -- 3.13 Future Scope -- 3.14 Conclusion -- References -- Chapter 4 The Evolution of Cobots in Intelligent Transportation Systems -- 4.1 Introduction -- 4.2 Uncovering Challenges in Intelligent Transportation System -- 4.3 The Role and Application of Cobots in Manufacturing and Logistics -- 4.4 Advancing Technologies Facilitating Robot and Cobot Operations in Intelligent Transportation Systems -- 4.5 Redefining Smart Transportation: The Synergy of Robotics, Cobots, and Predictive Analytics in ITS -- 4.5.1 Enhancing Urban Mobility with Robotic-Enabled Route Optimization -- 4.5.2 Revolutionizing Parking Efficiency with Robotic and Cobot Assistance -- 4.5.3 Enhancing Street Lighting with Robotic and Cobot Integration -- 4.5.4 Robotic Intervention in Accident Detection and Prevention -- 4.5.5 Robotic Solutions for Road Anomalies Detection -- 4.5.6 Advanced Vehicle Tracking or Transportation Monitoring -- 4.6 A Comparative Analysis of Cobot and Predictive Protocols in Enhancing Safety and Sustainability in ITS -- 4.6.1 Advancing Eco-Friendly Transportation Through Robotic and Cobot Integration -- 4.6.2 Robotic and Cobot Enhanced Collision Avoidance in Traffic -- 4.6.3 Revolutionizing Transportation: Robotic-Driven Autonomous Vehicles. 4.7 Advanced Analytics and Insights in Intelligent Transportation Systems -- 4.7.1 Robotic-Enhanced Traffic Detection -- 4.7.2 Advanced Road/Lane Detection with Robot -- 4.7.3 Elevating Precision in Navigation -- 4.7.4 Cobot-Driven Vehicle Detection -- 4.7.5 Robotics and 5G Routing for Transportation -- 4.7.6 Robotic Traffic Optimization for Efficient Commuting -- 4.7.7 Robotic Traffic Flow Prediction for Safer Commutes -- 4.7.8 Robotics and ITS Data Transformation -- 4.8 Conclusion -- References -- Chapter 5 Low/No-Code Software Development of Cobots Using Advanced Graphical User Interface -- 5.1 Introduction -- 5.1.1 Low/No Code -- 5.1.2 Analysis of Various Low/No-Code Platform -- 5.1.2.1 Microsoft Power App -- 5.1.2.2 Outsystem -- 5.1.2.3 Kissflow -- 5.1.2.4 Bubble -- 5.1.2.5 Mendix -- 5.2 Cobots -- 5.2.1 Types of Cobots -- 5.2.1.1 Uses -- 5.2.1.2 Advantages of Cobots -- 5.3 Design of Low/No-Code-Based Cobot Development -- 5.4 Graphical User Interface Features -- 5.5 RPA vs. Low Code No Code in Cobot Development: "Low Code or RPA? Who Wins?" -- 5.5.1 Working of RPA -- 5.5.2 Cobots and RPA -- 5.5.3 The Downfall of RPA -- 5.5.4 Low/No Code's Edge Over RPA -- 5.6 Conclusion -- 5.7 Pros and Cons -- 5.7.1 Pros of Cobots -- 5.7.2 Cons of Low/No Code -- 5.7.3 Cons of Cobots -- References -- Chapter 6 Future Workforce for Industry 5.0 -- 6.1 Introduction -- 6.2 Underlying Principles of Industry 5.0 -- 6.2.1 Human Centricity -- 6.2.2 Sustainability -- 6.2.3 Increased Resilience -- 6.3 Benefits for Workers in Industry 5.0 -- 6.3.1 Reduction of Human-Factor Failures -- 6.3.2 Safe and Inclusive Work Environment -- 6.3.3 Job Creation and Better Roles for Human Workers -- 6.3.4 Empowering Workers -- 6.4 Challenges for Workers in Industry 5.0 -- 6.5 Industry 5.0 and Employee Skills -- 6.5.1 Problem Solving -- 6.5.2 Working with People. 6.5.3 Use of Technology and its Development -- 6.5.4 Self-Management -- 6.5.5 Cross-Disciplinary Skills -- 6.6 Issues Related to Integration of Robots into Organizations -- 6.6.1 Learning to Work with Robots -- 6.6.2 Issues Relating to Laws and Regulations -- 6.6.3 Personal Preferences for Utilizing Robots at Work -- 6.6.4 Negative Attitude Toward Robots Due to Shrinking Human Workforce -- 6.6.5 Humans Competing with Robots or Robots Complementing Humans -- 6.6.6 Psychological Consequences of Human-Robot Co-Working -- 6.6.7 Societal Consequences of Human-Robot Collaboration -- 6.6.8 The Shifting Functions of Human Resources Departments -- 6.7 Considerations for Integration of Humans and Smart Machines in Industry 5.0 -- 6.7.1 Augmenting Workforce Through Automation -- 6.7.2 Select Tasks Carefully -- 6.7.3 Retrain and Retain -- 6.7.4 Ensuring Health and Safety -- 6.8 Reskilling and Upskilling the Workforce for Industry 5.0 -- 6.8.1 Workforce Planning -- 6.8.2 Skill Shaping -- 6.8.3 Shifting Skill Profile -- 6.9 Conclusion -- References -- Part 2: Applications -- Chapter 7 Intelligent Robots and Cobots: Concepts and Applications for Industry 5.0 Transformation -- 7.1 Introduction -- 7.1.1 Industry 5.0: Merging Humans and Technology -- 7.1.2 The Role of Intelligent Robots and Cobots -- 7.2 Systematic Review -- 7.3 Concepts of Intelligent Robots and Cobots -- 7.3.1 Definitions and Differentiation -- 7.3.2 Characteristics and Capabilities -- 7.3.3 Human-Centric Design Principles -- 7.4 Benefits of Intelligent Robots and Cobots -- 7.4.1 Enhanced Productivity and Efficiency -- 7.4.2 Improved Safety and Risk Mitigation -- 7.4.3 Workforce Augmentation and Skill Enhancement -- 7.4.4 Flexibility and Adaptability -- 7.5 Application Areas -- 7.5.1 Manufacturing and Production -- 7.5.1.1 Collaborative Assembly and Manufacturing Processes. 7.5.1.2 Quality Control and Inspection -- 7.5.2 Healthcare and Medical Assistance -- 7.5.2.1 Surgical Assistance and Rehabilitation -- 7.5.2.2 Elderly and Patient Care -- 7.5.3 Logistics and Warehouse Automation -- 7.5.4 Agriculture and Farming -- 7.5.5 Construction and Infrastructure -- 7.6 Challenges and Considerations -- 7.6.1 Safety and Risk Management -- 7.6.2 Ethical Implications and Human-Machine Interaction -- 7.6.3 Workforce Transition and Adaptation -- 7.6.4 Legal and Regulatory Frameworks -- 7.7 Future Prospects and Impacts -- 7.7.1 Advancements in Artificial Intelligence and Robotics -- 7.7.2 Human-Centered Approaches and Collaboration -- 7.7.3 Socioeconomic Effects and Employment Landscape -- 7.7.4 Potential Barriers to Adoption -- 7.8 Conclusion -- 7.8.1 Recapitulation of Key Points -- 7.8.2 Future Outlook and Industry 5.0 Transformation -- References -- Chapter 8 Artificial Intelligence-Driven Cobots for Innovative Industry 5.0 Workforce -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Revolution of Industry 5.0 -- 8.4 Robotic Collaboration -- 8.4.1 Widespread Personalization -- 8.4.2 Productivity and a Novel Human-Machine Connection -- 8.4.3 New Employment -- 8.5 Technological Issues with AI in the Cobot Age of Industry 5.0 -- 8.5.1 Real-Time Applications -- 8.5.2 Current Trends -- 8.5.3 Future Directions -- 8.5.3.1 Artificial Intelligence -- 8.5.3.2 Cobots -- 8.5.3.3 Cobots in Industry 5.0 -- 8.5.3.4 Benefits of Using AI-Driven Cobots -- 8.6 Conclusion -- References -- Chapter 9 Cobot Collaboration in the Healthcare Industry -- 9.1 Introduction -- 9.2 Cobots and Their Role -- 9.3 Impact of Cobot -- 9.4 The Challenges of Deploying Cobots at Scale -- 9.5 Cobot Background -- 9.6 Benefits of Cobots -- 9.6.1 Fast Installation -- 9.6.2 Quickly Programmed -- 9.6.3 Can be Used in Different Departments. 9.6.4 More Consistent and Accurate Than Humans. |
| Record Nr. | UNINA-9910916981303321 |
Ramasamy V
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| Newark : , : John Wiley & Sons, Incorporated, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Internet of Vehicles. Technologies and Services for Smart Cities [[electronic resource] ] : 4th International Conference, IOV 2017, Kanazawa, Japan, November 22-25, 2017, Proceedings / / edited by Sheng-Lung Peng, Guan-Ling Lee, Reinhard Klette, Ching-Hsien Hsu
| Internet of Vehicles. Technologies and Services for Smart Cities [[electronic resource] ] : 4th International Conference, IOV 2017, Kanazawa, Japan, November 22-25, 2017, Proceedings / / edited by Sheng-Lung Peng, Guan-Ling Lee, Reinhard Klette, Ching-Hsien Hsu |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XII, 225 p. 115 illus.) |
| Disciplina | 388.3 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Application software
Computer organization Artificial intelligence Algorithms Computer security Computer science—Mathematics Information Systems Applications (incl. Internet) Computer Systems Organization and Communication Networks Artificial Intelligence Algorithm Analysis and Problem Complexity Systems and Data Security Mathematics of Computing |
| ISBN | 3-319-72329-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Vehicular Communications: Standards and Challenges -- Helmet-Mounted Display System of Motorcyclist with Collision Detecting and Navigation -- Metaheuristic Algorithm of Multi-passengers Routing Path for Ride-sharing Vehicle -- A rush-hour vehicles scheduling strategy in online car-sharing system based on urban trajectory data analysis -- Accurate Traffic Flow Estimation in Urban Roads with Considering the Traffic Signals -- Performance Analysis and Modeling of Central Navigation Cloud -- Optimal Power Allocation for Multi-Group Multicast under Sensing-Based Spectrum Sharing Cognitive Radio Networks -- A New Routing Protocol Based on OLSR Designed for UANET Maritime Research and Rescue -- Multi-Task Oriented Participant Recruitment for Vehicular Crowdsensing -- Driving Fatigue Detecting Method Based on Temperature Insensitive ECG Parameters -- Communication Quality in Anticipatory Vehicle Swarms: A Simulation-Based Model -- A Cyber-Physical Systems Approach to Optimizing Internet of Vehicles Architecture with Rapidly Evolving Technology -- Research on Finding Base Stations Related to a Specific Region -- Intelligent Computing for Vehicle Form Design: A Case Study of Sand Making Machine -- An Ad-Hoc Mesh Network for Flight-deck Interval Management of Airplanes -- TLS for Cooperative ITS Services -- Distributed Simulation Platform for Autonomous Driving -- Toward Fog-Based Event-Driven Services for Internet of Vehicles: Design and Evaluation -- Theoretical Proving of Optimal Communication Radius Against Traffic Congestion in Simplified. |
| Record Nr. | UNISA-996466423603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Internet of Vehicles. Technologies and Services for Smart Cities : 4th International Conference, IOV 2017, Kanazawa, Japan, November 22-25, 2017, Proceedings / / edited by Sheng-Lung Peng, Guan-Ling Lee, Reinhard Klette, Ching-Hsien Hsu
| Internet of Vehicles. Technologies and Services for Smart Cities : 4th International Conference, IOV 2017, Kanazawa, Japan, November 22-25, 2017, Proceedings / / edited by Sheng-Lung Peng, Guan-Ling Lee, Reinhard Klette, Ching-Hsien Hsu |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XII, 225 p. 115 illus.) |
| Disciplina | 388.3 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Application software
Computer organization Artificial intelligence Algorithms Computer security Computer science—Mathematics Information Systems Applications (incl. Internet) Computer Systems Organization and Communication Networks Artificial Intelligence Algorithm Analysis and Problem Complexity Systems and Data Security Mathematics of Computing |
| ISBN | 3-319-72329-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Vehicular Communications: Standards and Challenges -- Helmet-Mounted Display System of Motorcyclist with Collision Detecting and Navigation -- Metaheuristic Algorithm of Multi-passengers Routing Path for Ride-sharing Vehicle -- A rush-hour vehicles scheduling strategy in online car-sharing system based on urban trajectory data analysis -- Accurate Traffic Flow Estimation in Urban Roads with Considering the Traffic Signals -- Performance Analysis and Modeling of Central Navigation Cloud -- Optimal Power Allocation for Multi-Group Multicast under Sensing-Based Spectrum Sharing Cognitive Radio Networks -- A New Routing Protocol Based on OLSR Designed for UANET Maritime Research and Rescue -- Multi-Task Oriented Participant Recruitment for Vehicular Crowdsensing -- Driving Fatigue Detecting Method Based on Temperature Insensitive ECG Parameters -- Communication Quality in Anticipatory Vehicle Swarms: A Simulation-Based Model -- A Cyber-Physical Systems Approach to Optimizing Internet of Vehicles Architecture with Rapidly Evolving Technology -- Research on Finding Base Stations Related to a Specific Region -- Intelligent Computing for Vehicle Form Design: A Case Study of Sand Making Machine -- An Ad-Hoc Mesh Network for Flight-deck Interval Management of Airplanes -- TLS for Cooperative ITS Services -- Distributed Simulation Platform for Autonomous Driving -- Toward Fog-Based Event-Driven Services for Internet of Vehicles: Design and Evaluation -- Theoretical Proving of Optimal Communication Radius Against Traffic Congestion in Simplified. |
| Record Nr. | UNINA-9910483403303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
