top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Advanced controllers for smart cities : an industry 4.0 perspective / / Fadi Al-Turjman, Naveenbalaji Gowthaman, editors
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
Opac: Controlla la disponibilità qui
Artificial intelligence and machine learning for COVID-19 / / Fadi Al-Turjman, editor
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
Opac: Controlla la disponibilità qui
Artificial intelligence and machine learning for COVID-19 / / Fadi Al-Turjman, editor
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
Opac: Controlla la disponibilità qui
Artificial Intelligence in IoT / / edited by Fadi Al-Turjman
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
Opac: Controlla la disponibilità qui
Edge Computing : From Hype to Reality / / edited by Fadi Al-Turjman
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
Opac: Controlla la disponibilità qui
Emerging technologies for battling Covid-19 : applications and innovations / / Fadi Al-Turjman, Ajantha Devi, Anand Nayyar, editors
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
Opac: Controlla la disponibilità qui
Emerging technologies for battling Covid-19 : applications and innovations / / Fadi Al-Turjman, Ajantha Devi, Anand Nayyar, editors
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
Opac: Controlla la disponibilità qui
Evolving role of AI and IoMT in the healthcare market / / editors, Fadi Al-Turjman [and three others]
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
Opac: Controlla la disponibilità qui
Evolving role of AI and IoMT in the healthcare market / / editors, Fadi Al-Turjman [and three others]
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
Opac: Controlla la disponibilità qui
Forthcoming Networks and Sustainability in the IoT Era : Second International Conference, FoNeS-IoT 2021, Volume 2 / / edited by Fadi Al-Turjman, Jawad Rasheed
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
Opac: Controlla la disponibilità qui