Advanced controllers for smart cities : an industry 4.0 perspective / / Fadi Al-Turjman, Naveenbalaji Gowthaman, editors |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (XIV, 82 p. 49 illus., 40 illus. in color.) |
Disciplina | 307.760285 |
Collana | EAI/Springer innovations in communication and computing |
Soggetto topico |
Smart cities
Microcontrollers Industry 4.0 |
ISBN | 3-030-48539-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Internet of Things (IoT) with Industry 4.0 -- Advanced Controllers in Internet of Things -- Internet of Things with Integrated Control Applications in Smart City Paradigm -- Agriculture, Public Safety, Women and Child Care & Welfare -- Healthcare, Water Management, Government and Administration -- Environmental Impact, Energy with Management of Information Systems -- Safety, Education, Transportation Systems with Advanced Controllers -- Conclusion. |
Record Nr. | UNINA-9910483923903321 |
Cham, Switzerland : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Artificial intelligence and machine learning for COVID-19 / / Fadi Al-Turjman, editor |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (272 pages) |
Disciplina | 006.3 |
Collana | Studies in Computational Intelligence |
Soggetto topico | Artificial intelligence |
ISBN | 3-030-60188-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996464493103316 |
Cham, Switzerland : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Artificial intelligence and machine learning for COVID-19 / / Fadi Al-Turjman, editor |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (272 pages) |
Disciplina | 006.3 |
Collana | Studies in Computational Intelligence |
Soggetto topico | Artificial intelligence |
ISBN | 3-030-60188-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910483642703321 |
Cham, Switzerland : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence in IoT / / edited by Fadi Al-Turjman |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XI, 231 p. 79 illus., 73 illus. in color.) |
Disciplina |
621.382
006.3 |
Collana | Transactions on Computational Science and Computational Intelligence |
Soggetto topico |
Electrical engineering
Application software Electronics Microelectronics User interfaces (Computer systems) Communications Engineering, Networks Information Systems Applications (incl. Internet) Electronics and Microelectronics, Instrumentation User Interfaces and Human Computer Interaction |
ISBN | 3-030-04110-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter1: A Systematic Review of the Convergence of Augmented Reality, Intelligent Virtual Agents, and the Internet of Things -- Chapter2: Improving the Physical Layer Security in IoT-5G Systems -- Chapter3: Emotional ANN (EANN): A New Generation of Neural Networks for Hydrological Modeling in IoT -- Chapter4: Smart Tourism Destination in Smart-cities Paradigm: A Model for Antalya -- Chapter5: A Hybrid approach for image segmentation in the IoT Era -- Chapter6: Big Data Analytics for Intelligent Internet of Things -- Chapter7: Blockchain and Internet of Things-Based Technologies for Intelligent Water Management System -- Chapter8: Digital Forensics for Frame Rate Up-Conversion in Wireless Sensor Network -- Chapter9: A Neuro Fuzzy Based Multi Criteria Risk Evaluation Approach: A Case Study of Underground Mining -- Chapter10:Intelligent IoT Communication in Smart Environments: An Overview. |
Record Nr. | UNINA-9910337627703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Edge Computing : From Hype to Reality / / edited by Fadi Al-Turjman |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (x, 188 pages) |
Disciplina | 004.678 |
Collana | EAI/Springer Innovations in Communication and Computing |
Soggetto topico |
Electrical engineering
Signal processing Image processing Speech processing systems Application software Communications Engineering, Networks Signal, Image and Speech Processing Information Systems Applications (incl. Internet) |
ISBN | 3-319-99061-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter1: The Era of the Personal Cloud: What Does It Mean for Cloud Providers? -- Chapter2: Optimization in Edge Computing and Small-cell Networks -- Chapter3: A comprehensive survey on Architecture for Big Data Processing in Mobile Edge Computing Environments -- Chapter4: Taxonomy of Edge Computing: Challenges, Opportunities and Data Reduction Methods -- Chapter5: Applications of the Internet of Things with the Cloud Computing Technologies– A Review -- Chapter6: Software Defined Internet of Thing to Analyze Big Data in Smart Cities -- Chapter7: Taking Cloud Computing to the Extreme Edge: A Review of Mist Computing for Smart Cities and Industry 4.0 in Africa -- Chapter8: IoT and Edge Computing as a Tool for Bowel Activity Monitoring -- Chapter9: Application of Cloud Computing and Internet of Things to Improve Supply Chain Processes -- Chapter10: A Conceptual framework for Security and Privacy in Edge Computing. |
Record Nr. | UNINA-9910337656203321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Emerging technologies for battling Covid-19 : applications and innovations / / Fadi Al-Turjman, Ajantha Devi, Anand Nayyar, editors |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (XIV, 359 p. 210 illus., 190 illus. in color.) |
Disciplina | 610.285 |
Collana | Studies in Systems, Decision and Control |
Soggetto topico | Medical informatics |
ISBN | 3-030-60039-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Drone-based social distancing, sanitizing, inspection, monitoring and control room for covid-19 -- COVID 19 Prediction Models Using Machine Learning Techniques -- Perspective to Definition of Data Visualization: A mapping study and discussion on Coronavirus dataset -- Blockchain based framework to maintain trust among various stakeholders involved in COVID -- Role of Big Data in COVID-19 Pandemic: Opportunities, Challenges and Future Avenues -- Artificial intelligence techniques for resources management during covid-19 -- Applications Of Artificial Intelligence And Internet Of Things For Detection And Future Directions To Fight Against Covid-19 -- Robotics and drone-based solutions for covid 19 using AI and IOT -- A novel framework for Wearable device-based identification, monitoring, collaborating and crowdsourcing for covid -19 -- Effectiveness of Big Data in Early Prediction and Measures for COVID-19 using Data Science -- COVID-19: Creating Paradigm Shift in Education System -- Dynamic Models and Control Techniques for Drone Delivery of Medications and Other Healthcare Items in COVID-19 Hotspots -- Disaster management techniques using AI due to COVID-19 -- COVID-19 Impact on Education Systems -- Mobile Technology Solutions for COVID-19 -- Predictive Analysis of COVID 19 transmission- Mathematical modelling study -- Analyzing the effects of covid 19 using big data analysis -- Intrinsic and Extrinsic Motivation for Online Teaching in COVID-19: Applications, Issues and Solution -- Conclusion. |
Record Nr. | UNINA-9910485009703321 |
Cham, Switzerland : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Emerging technologies for battling Covid-19 : applications and innovations / / Fadi Al-Turjman, Ajantha Devi, Anand Nayyar, editors |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (XIV, 359 p. 210 illus., 190 illus. in color.) |
Disciplina | 610.285 |
Collana | Studies in Systems, Decision and Control |
Soggetto topico | Medical informatics |
ISBN | 3-030-60039-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Drone-based social distancing, sanitizing, inspection, monitoring and control room for covid-19 -- COVID 19 Prediction Models Using Machine Learning Techniques -- Perspective to Definition of Data Visualization: A mapping study and discussion on Coronavirus dataset -- Blockchain based framework to maintain trust among various stakeholders involved in COVID -- Role of Big Data in COVID-19 Pandemic: Opportunities, Challenges and Future Avenues -- Artificial intelligence techniques for resources management during covid-19 -- Applications Of Artificial Intelligence And Internet Of Things For Detection And Future Directions To Fight Against Covid-19 -- Robotics and drone-based solutions for covid 19 using AI and IOT -- A novel framework for Wearable device-based identification, monitoring, collaborating and crowdsourcing for covid -19 -- Effectiveness of Big Data in Early Prediction and Measures for COVID-19 using Data Science -- COVID-19: Creating Paradigm Shift in Education System -- Dynamic Models and Control Techniques for Drone Delivery of Medications and Other Healthcare Items in COVID-19 Hotspots -- Disaster management techniques using AI due to COVID-19 -- COVID-19 Impact on Education Systems -- Mobile Technology Solutions for COVID-19 -- Predictive Analysis of COVID 19 transmission- Mathematical modelling study -- Analyzing the effects of covid 19 using big data analysis -- Intrinsic and Extrinsic Motivation for Online Teaching in COVID-19: Applications, Issues and Solution -- Conclusion. |
Record Nr. | UNISA-996464499903316 |
Cham, Switzerland : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Evolving role of AI and IoMT in the healthcare market / / editors, Fadi Al-Turjman [and three others] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (283 pages) |
Disciplina | 610.285 |
Soggetto topico | Artificial intelligence - Medical applications |
ISBN | 3-030-82079-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910520070303321 |
Cham, Switzerland : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Evolving role of AI and IoMT in the healthcare market / / editors, Fadi Al-Turjman [and three others] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (283 pages) |
Disciplina | 610.285 |
Soggetto topico | Artificial intelligence - Medical applications |
ISBN | 3-030-82079-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996464388203316 |
Cham, Switzerland : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Forthcoming Networks and Sustainability in the IoT Era : Second International Conference, FoNeS-IoT 2021, Volume 2 / / edited by Fadi Al-Turjman, Jawad Rasheed |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
Descrizione fisica | 1 online resource (394 pages) |
Disciplina | 004.678 |
Collana | Lecture Notes on Data Engineering and Communications Technologies |
Soggetto topico |
Computational intelligence
Cooperating objects (Computer systems) Computational Intelligence Cyber-Physical Systems |
ISBN | 3-030-99581-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Position Estimation and Tracking With a Fuzzy-Logic-Based Adaptive Strong Tracking Kalman Filter for Capacitive Touch Panels -- A Hybrid Metaheuristic Algorithm for the Localization Mobile Sensor Nodes -- The application of big data in Aerobics Teaching in Higher Vocational Colleges -- Contribution of Block Link to Issues in SME Financing -- Application of genetic algorithm in evolutionary music -- Material system technology based on Oracle database and Java language -- Construction of Risk Warning Model in Financial Market Based on Artificial Intelligence Technology -- Evaluation of government emergency management capability based on Internet of things under BP neural network. |
Record Nr. | UNINA-9910558492803321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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