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Biblioteca

MARC Lista (tabellare)
Autonomous airborne wireless networks / / editors, Muhammad Ali Imran, Oluwakayode Onireti, Shuja Ansari
Autonomous airborne wireless networks / / editors, Muhammad Ali Imran, Oluwakayode Onireti, Shuja Ansari
Pubbl/distr/stampa Hoboken, NJ : , : John Wiley & Sons, Inc., , [2021]
Descrizione fisica 1 online resource (323 pages)
Disciplina 621.384
Collana Wiley - IEEE Press.
Soggetto topico Drone aircraft
Wireless communication systems - Technological innovations
Soggetto genere / forma Electronic books.
ISBN 1-119-75170-5
1-119-75171-3
1-119-75169-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910555186803321
Hoboken, NJ : , : John Wiley & Sons, Inc., , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Autonomous airborne wireless networks / / editors, Muhammad Ali Imran, Oluwakayode Onireti, Shuja Ansari
Autonomous airborne wireless networks / / editors, Muhammad Ali Imran, Oluwakayode Onireti, Shuja Ansari
Pubbl/distr/stampa Hoboken, NJ : , : John Wiley & Sons, Inc., , [2021]
Descrizione fisica 1 online resource (323 pages)
Disciplina 621.384
Collana Wiley - IEEE Press.
Soggetto topico Drone aircraft
Wireless communication systems - Technological innovations
ISBN 1-119-75170-5
1-119-75171-3
1-119-75169-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910830645803321
Hoboken, NJ : , : John Wiley & Sons, Inc., , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Enabling 5G communication systems to support vertical industries / / edited by Muhammad Ali Imran, Yusuf Abdulrahman Sambo, Qammer H. Abbasi
Enabling 5G communication systems to support vertical industries / / edited by Muhammad Ali Imran, Yusuf Abdulrahman Sambo, Qammer H. Abbasi
Autore Imran Muhammad Ali
Pubbl/distr/stampa Hoboken, New Jersey ; ; Chichester, England : , : Wiley : , : IEEE Press, , [2019]
Descrizione fisica 1 online resource (289 pages)
Disciplina 621.38456
Collana THEi Wiley ebooks.
Soggetto topico 5G mobile communication systems
Marketing, Vertical
Business enterprises - Computer networks
ISBN 1-119-51555-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910555176403321
Imran Muhammad Ali  
Hoboken, New Jersey ; ; Chichester, England : , : Wiley : , : IEEE Press, , [2019]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Enabling 5G communication systems to support vertical industries / / edited by Muhammad Ali Imran, Yusuf Abdulrahman Sambo, Qammer H. Abbasi
Enabling 5G communication systems to support vertical industries / / edited by Muhammad Ali Imran, Yusuf Abdulrahman Sambo, Qammer H. Abbasi
Autore Imran Muhammad Ali
Pubbl/distr/stampa Hoboken, New Jersey ; ; Chichester, England : , : Wiley : , : IEEE Press, , [2019]
Descrizione fisica 1 online resource (289 pages)
Disciplina 621.38456
Collana THEi Wiley ebooks.
Soggetto topico 5G mobile communication systems
Marketing, Vertical
Business enterprises - Computer networks
ISBN 1-119-51555-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910824461103321
Imran Muhammad Ali  
Hoboken, New Jersey ; ; Chichester, England : , : Wiley : , : IEEE Press, , [2019]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Enabling the internet of things : fundamentals, design, and applications / / Muhammad Azhar Iqbal [et al.]
Enabling the internet of things : fundamentals, design, and applications / / Muhammad Azhar Iqbal [et al.]
Autore Iqbal Muhammad Azhar <1978->
Edizione [First edition.]
Pubbl/distr/stampa Hoboken, NJ : , : Wiley, , 2021
Descrizione fisica 1 PDF
Disciplina 004.678
Altri autori (Persone) HussainSajjad (Lecturer in Electronics and Electrical Engineering)
HuanlaiXing
ImranMuhammad Ali
Collana Wiley - IEE
Soggetto topico Internet of things
ISBN 1-119-70148-1
1-119-70146-5
1-119-70147-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Matter -- Internet of Things (IoT) Fundamentals -- IoT Building Blocks - Hardware and Software -- Sensing Principles and Wireless Sensor Network -- IoT Gateway -- IoT Protocol Stack -- IoT Cloud and Fog Computing -- IoT Applications --IoT Security -- Social IoT -- Packet Tracer and IoT -- IoT Projects in Packet Tracer.
Record Nr. UNINA-9910555094603321
Iqbal Muhammad Azhar <1978->  
Hoboken, NJ : , : Wiley, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Enabling the internet of things : fundamentals, design, and applications / / Muhammad Azhar Iqbal [et al.]
Enabling the internet of things : fundamentals, design, and applications / / Muhammad Azhar Iqbal [et al.]
Autore Iqbal Muhammad Azhar <1978->
Edizione [First edition.]
Pubbl/distr/stampa Hoboken, NJ : , : Wiley, , 2021
Descrizione fisica 1 PDF
Disciplina 004.678
Altri autori (Persone) HussainSajjad (Lecturer in Electronics and Electrical Engineering)
HuanlaiXing
ImranMuhammad Ali
Collana Wiley - IEE
Soggetto topico Internet of things
ISBN 1-119-70148-1
1-119-70146-5
1-119-70147-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Matter -- Internet of Things (IoT) Fundamentals -- IoT Building Blocks - Hardware and Software -- Sensing Principles and Wireless Sensor Network -- IoT Gateway -- IoT Protocol Stack -- IoT Cloud and Fog Computing -- IoT Applications --IoT Security -- Social IoT -- Packet Tracer and IoT -- IoT Projects in Packet Tracer.
Record Nr. UNINA-9910829966603321
Iqbal Muhammad Azhar <1978->  
Hoboken, NJ : , : Wiley, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Energy Management in Wireless Cellular and Ad-hoc Networks [[electronic resource] /] / edited by Muhammad Zeeshan Shakir, Muhammad Ali Imran, Khalid A. Qaraqe, Mohamed-Slim Alouini, Athanasios V. Vasilakos
Energy Management in Wireless Cellular and Ad-hoc Networks [[electronic resource] /] / edited by Muhammad Zeeshan Shakir, Muhammad Ali Imran, Khalid A. Qaraqe, Mohamed-Slim Alouini, Athanasios V. Vasilakos
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (445 p.)
Disciplina 620
Collana Studies in Systems, Decision and Control
Soggetto topico Electrical engineering
Energy efficiency
Energy policy
Energy and state
Communications Engineering, Networks
Energy Efficiency
Energy Policy, Economics and Management
ISBN 3-319-27568-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Energy Management in Heterogeneous Networks -- Energy Management and Energy Efficiency in Cellular Systems -- Energy Management in Ad Hoc Networks -- Energy Management in Cognitive Radio Networks -- Energy Management in Emerging Wireless Networks -- Energy Management Practices in Wireless Networks.
Record Nr. UNINA-9910254246203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Engineering and technology for healthcare / / edited by Muhammad Ali Imran, Rami Ghannam, Qammer H. Abbasi
Engineering and technology for healthcare / / edited by Muhammad Ali Imran, Rami Ghannam, Qammer H. Abbasi
Pubbl/distr/stampa Hoboken, New Jersey : , : IEEE Press : , : Wiley, , [2020]
Descrizione fisica 1 PDF
Disciplina 610.28
Soggetto topico Biomedical engineering
ISBN 1-119-64428-3
1-119-64422-4
1-119-64431-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contributors -- 1.1. Introduction ix -- 1.2. Bibliography xv -- 2. Maximising the value of engineering and technology research in healthcare: development-focused health technology assessment -- 2.1. Introduction -- 2.2. What is HTA? -- 2.3. What is development-focused HTA? -- 2.4. Illustration of features of development-focused HTA? -- 2.4.1. Use-focused HTA? -- 2.4.2. Development-focused HTA? -- 2.5. Activities of development-focused HTA? -- 2.6. Analytical methods of development-focused HTA -- 2.6.1. Clinical value assessment -- 2.6.2. Economic value assessment -- 2.6.3. Evidence generation -- 2.7. What are the challenges in the development and assessment of medical devices? -- 2.7.1. What are the medical devices? -- 2.7.2. Challenges common to all medical devices -- 2.7.2.1. Licencing and regulation -- 2.7.2.2. Adoption -- 2.7.2.3. Evidence -- 2.7.3. Challenges specific to some categories of device -- 2.7.3.1. Learning curve -- 2.7.3.2. Short lifespan and incremental improvement -- 2.7.3.3. Workflow -- 2.7.3.4. Indirect health benefit -- 2.7.3.5. Behavioural and other contextual factors -- 2.7.3.6. Budgetary challenge -- 2.8. The contribution of DF-HTA in the development and translation of medical devices -- 2.8.1. Case study 1 - Identifying and confirming needs -- 2.8.2. Case study 2 - What difference could this device make? -- 2.8.3. Case study 3 - Which research project has the most potential? -- 2.8.4. Case study 4 - What is the required performance to deliver clinical utility? -- 2.8.5. Case study 5 - What are the key param-eters for evidence generation? -- 2.9. Conclusion -- 3. Contactless Radar Sensing for health monitoring -- 3.3.1. Introduction: healthcare provision and radar technology -- 3.3.2. Radar and Radar Data Fundamentals -- 3.3.2.1. Principles of radar systems -- 3.3.2.2. Principles of radar signal processing for health applications -- 3.3.3. Principles of machine learning applied to radar data -- 3.3.4. Complementary approaches: passive radar and channel state information sensing.
3.4. Radar technology in use for healthcare -- 3.4.1. Activities recognition and fall detection -- 3.4.2.Gait monitoring -- 3.4.3. Vital signs and sleep monitoring -- 3.5. Conclusion and outstanding challenges -- 3.6. Future Trends -- 4. Pervasive Sensing: Macro to Nanoscale -- 4.1 Introduction -- 4.2. The anatomy of a human skin -- 4.3. Chracteristic of human tissue -- 4.4 Tissue Sample Preparation -- 4.5. Measurement Apparatus -- 4.6. Simulating the human skin -- 4.6.1. Human body channel modelling -- 4.7. Networking and Communication Mech-anisms for Body-Centric WirelessNano-Networks -- 4.8. Concluding Remarks -- 5. Bio integrated Implantable Brain Devices -- 5.1. Background -- 5.2 Neural Device Interfaces -- 5.3. Implant Tissue Biointegration -- 5.4. MRI Compatibility of the NeuralDevices -- 5.5. Conclusion -- 6. Machine Learning for Decision Making in Healthcare -- 6.1. Introduction -- 6.2. Data Description -- 6.3. Proposed Methodology -- 6.3.1. Data collection -- 6.3.2. Window size selection -- 6.3.3. Feature Extraction -- 6.3.4. Feature Selection -- 6.3.5. Implementation of Machine learning Models -- 6.3.6. Model Evaluation -- 6.4. Results -- 6.5. Analysis and Discussion -- 6.5.1. Impact of Postures -- 6.5.2. Impact of Windows Size -- 6.5.2. Impact of Feature combination -- 6.5.3. Impact of Machine Learning algorithms -- 6.6. Conclusion -- 7. Information Retrieval from Electronic Health Records -- 7.1. Introduction -- 7.2. Methodology -- 7.2.1. Parallel LSI (PLSI) -- 7.2.2. Distributed LSI (DLSI) -- 7.3. Results and Analysis -- 7.4 Conclusion -- 8. Energy Harvesting for Wearable and Portable Devices -- 8.1. Introduction -- 8.2. Energy Harvesting Techniques -- 8.2.1. Photovoltaics -- 8.2.2. Piezoelectric Energy Harvesting -- 8.2.3. Thermal Energy Harvesting -- 8.2.3.1. Last Trends -- 8.2.4. RF Energy Harvesting -- 8.3. Conclusion -- 9. Wireless control for life-critical actions -- 9.1. Introduction -- 9.2. Wireless Control for Healthcare -- 9.3. Technical Requirements.
9.3.1. Ultra-Reliability -- 9.3.2. Low Latency -- 9.3.3. Security and Privacy -- 9.3.4. Edge Artificial Intelligence -- 9.4. Design Aspects -- 9.4.1. Independent Design -- 9.4.2. Co-Design -- 9.5. Co-Design System Model -- 9.5.1. Control Fusion -- 9.5.2. Performance Evaluation Criterion -- 9.5.2.1. Control Performance -- 9.5.2.2. Communication Performance -- 9.5.3. Effects of Different QoS -- 9.5.4. Simulation Results -- 9.6. Conclusion -- 10. ROLE OF D2D COMMUNICATIONS INMOBILE HEALTH APPLICATIONS: SECURITY THREATS AND REQUIREMENTS -- 10.1. Introduction -- 10.2. D2D Scenarios for Mobile Health Applications -- 10.3. D2D Security Requirements and Standardisation -- 10.3.1. Security Issues on Configuration -- 10.3.1.1. Configuration of the ProSe enabled UE -- 10.3.1.2. Security Issues on Device Discovery -- 10.3.1.2.1. Direct Request and Response Discovery -- 10.3.1.2.2. Open Direct Discovery -- 10.3.1.2.3. Restricted Directory -- 10.3.1.2.4. Registration in network-based ProSe Discovery -- 10.3.2. Security Issues on One-to-Many Communications -- 10.3.2.1. One-to-many communications between UEs -- 10.3.2.2. Key distribution for group communications -- 10.3.3. Security Issues on One-to-One Communication -- 10.3.3.1. One-to-one ProSe direct communication -- 10.3.3.2. One-to-one ProSe direct communication -- 10.3.4. Security Issues on ProSe Relays -- 10.3.4.1. Maintaining 3GPP communication security through relay -- 10.3.4.2. UE-Network relay -- 10.3.4.3. UE-to-UE relay -- 10.4. Existing Solutions -- 10.4.1. Key Management -- 10.4.2. Routing -- 10.4.3. Social Trust and social ties -- 10.4.4. Access Control -- 10.4.5. Physical Layer Security -- 10.4.6. Network Coding -- 10.5. Conclusion -- 11. Automated diagnosis of skin cancer for healthcare: Highlights and Procedures -- 11.1. Introduction -- 11.2. Framework of Computer-aided Skin Cancer Classification Systems -- 11.2.1. Image Acquisition -- 11.2.2. Image Pre-processing -- 11.2.2.1. Color Contrast Enhancement -- 11.2.2.2. Artificial Removal.
11.2.3. Image Segmentation -- 11.2.3.1. Thresholding-based Segmentation -- 11.2.3.2. Edge-based Segmentation -- 11.2.3.3. Region-based Segmentation -- 11.2.3.4. Active contours-based Segmentation -- 11.2.3.5. Artificial Intelligence-based Segmentation -- 11.2.4. Feature Extraction -- 11.2.4.1. Color-based Features -- 11.2.4.2. Dimensional Features -- 11.2.4.3. Textual-based Features -- 11.2.4.4. Dermoscopic Rules and Methods -- 11.2.4.4.1. ABCD Rule -- 11.2.4.4.2 Menzies Method -- 11.2.4.4.3 7-Point Checklist -- 11.2.5. Feature Selection -- 11.2.6. Classification -- 11.2.7. Classification Performance Evaluation -- 11.3. Conclusion -- 12. Conclusion.
Record Nr. UNINA-9910555268403321
Hoboken, New Jersey : , : IEEE Press : , : Wiley, , [2020]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Engineering and technology for healthcare / / edited by Muhammad Ali Imran, Rami Ghannam, Qammer H. Abbasi
Engineering and technology for healthcare / / edited by Muhammad Ali Imran, Rami Ghannam, Qammer H. Abbasi
Pubbl/distr/stampa Hoboken, New Jersey : , : IEEE Press : , : Wiley, , [2020]
Descrizione fisica 1 PDF
Disciplina 610.28
Soggetto topico Biomedical engineering
ISBN 1-119-64428-3
1-119-64422-4
1-119-64431-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contributors -- 1.1. Introduction ix -- 1.2. Bibliography xv -- 2. Maximising the value of engineering and technology research in healthcare: development-focused health technology assessment -- 2.1. Introduction -- 2.2. What is HTA? -- 2.3. What is development-focused HTA? -- 2.4. Illustration of features of development-focused HTA? -- 2.4.1. Use-focused HTA? -- 2.4.2. Development-focused HTA? -- 2.5. Activities of development-focused HTA? -- 2.6. Analytical methods of development-focused HTA -- 2.6.1. Clinical value assessment -- 2.6.2. Economic value assessment -- 2.6.3. Evidence generation -- 2.7. What are the challenges in the development and assessment of medical devices? -- 2.7.1. What are the medical devices? -- 2.7.2. Challenges common to all medical devices -- 2.7.2.1. Licencing and regulation -- 2.7.2.2. Adoption -- 2.7.2.3. Evidence -- 2.7.3. Challenges specific to some categories of device -- 2.7.3.1. Learning curve -- 2.7.3.2. Short lifespan and incremental improvement -- 2.7.3.3. Workflow -- 2.7.3.4. Indirect health benefit -- 2.7.3.5. Behavioural and other contextual factors -- 2.7.3.6. Budgetary challenge -- 2.8. The contribution of DF-HTA in the development and translation of medical devices -- 2.8.1. Case study 1 - Identifying and confirming needs -- 2.8.2. Case study 2 - What difference could this device make? -- 2.8.3. Case study 3 - Which research project has the most potential? -- 2.8.4. Case study 4 - What is the required performance to deliver clinical utility? -- 2.8.5. Case study 5 - What are the key param-eters for evidence generation? -- 2.9. Conclusion -- 3. Contactless Radar Sensing for health monitoring -- 3.3.1. Introduction: healthcare provision and radar technology -- 3.3.2. Radar and Radar Data Fundamentals -- 3.3.2.1. Principles of radar systems -- 3.3.2.2. Principles of radar signal processing for health applications -- 3.3.3. Principles of machine learning applied to radar data -- 3.3.4. Complementary approaches: passive radar and channel state information sensing.
3.4. Radar technology in use for healthcare -- 3.4.1. Activities recognition and fall detection -- 3.4.2.Gait monitoring -- 3.4.3. Vital signs and sleep monitoring -- 3.5. Conclusion and outstanding challenges -- 3.6. Future Trends -- 4. Pervasive Sensing: Macro to Nanoscale -- 4.1 Introduction -- 4.2. The anatomy of a human skin -- 4.3. Chracteristic of human tissue -- 4.4 Tissue Sample Preparation -- 4.5. Measurement Apparatus -- 4.6. Simulating the human skin -- 4.6.1. Human body channel modelling -- 4.7. Networking and Communication Mech-anisms for Body-Centric WirelessNano-Networks -- 4.8. Concluding Remarks -- 5. Bio integrated Implantable Brain Devices -- 5.1. Background -- 5.2 Neural Device Interfaces -- 5.3. Implant Tissue Biointegration -- 5.4. MRI Compatibility of the NeuralDevices -- 5.5. Conclusion -- 6. Machine Learning for Decision Making in Healthcare -- 6.1. Introduction -- 6.2. Data Description -- 6.3. Proposed Methodology -- 6.3.1. Data collection -- 6.3.2. Window size selection -- 6.3.3. Feature Extraction -- 6.3.4. Feature Selection -- 6.3.5. Implementation of Machine learning Models -- 6.3.6. Model Evaluation -- 6.4. Results -- 6.5. Analysis and Discussion -- 6.5.1. Impact of Postures -- 6.5.2. Impact of Windows Size -- 6.5.2. Impact of Feature combination -- 6.5.3. Impact of Machine Learning algorithms -- 6.6. Conclusion -- 7. Information Retrieval from Electronic Health Records -- 7.1. Introduction -- 7.2. Methodology -- 7.2.1. Parallel LSI (PLSI) -- 7.2.2. Distributed LSI (DLSI) -- 7.3. Results and Analysis -- 7.4 Conclusion -- 8. Energy Harvesting for Wearable and Portable Devices -- 8.1. Introduction -- 8.2. Energy Harvesting Techniques -- 8.2.1. Photovoltaics -- 8.2.2. Piezoelectric Energy Harvesting -- 8.2.3. Thermal Energy Harvesting -- 8.2.3.1. Last Trends -- 8.2.4. RF Energy Harvesting -- 8.3. Conclusion -- 9. Wireless control for life-critical actions -- 9.1. Introduction -- 9.2. Wireless Control for Healthcare -- 9.3. Technical Requirements.
9.3.1. Ultra-Reliability -- 9.3.2. Low Latency -- 9.3.3. Security and Privacy -- 9.3.4. Edge Artificial Intelligence -- 9.4. Design Aspects -- 9.4.1. Independent Design -- 9.4.2. Co-Design -- 9.5. Co-Design System Model -- 9.5.1. Control Fusion -- 9.5.2. Performance Evaluation Criterion -- 9.5.2.1. Control Performance -- 9.5.2.2. Communication Performance -- 9.5.3. Effects of Different QoS -- 9.5.4. Simulation Results -- 9.6. Conclusion -- 10. ROLE OF D2D COMMUNICATIONS INMOBILE HEALTH APPLICATIONS: SECURITY THREATS AND REQUIREMENTS -- 10.1. Introduction -- 10.2. D2D Scenarios for Mobile Health Applications -- 10.3. D2D Security Requirements and Standardisation -- 10.3.1. Security Issues on Configuration -- 10.3.1.1. Configuration of the ProSe enabled UE -- 10.3.1.2. Security Issues on Device Discovery -- 10.3.1.2.1. Direct Request and Response Discovery -- 10.3.1.2.2. Open Direct Discovery -- 10.3.1.2.3. Restricted Directory -- 10.3.1.2.4. Registration in network-based ProSe Discovery -- 10.3.2. Security Issues on One-to-Many Communications -- 10.3.2.1. One-to-many communications between UEs -- 10.3.2.2. Key distribution for group communications -- 10.3.3. Security Issues on One-to-One Communication -- 10.3.3.1. One-to-one ProSe direct communication -- 10.3.3.2. One-to-one ProSe direct communication -- 10.3.4. Security Issues on ProSe Relays -- 10.3.4.1. Maintaining 3GPP communication security through relay -- 10.3.4.2. UE-Network relay -- 10.3.4.3. UE-to-UE relay -- 10.4. Existing Solutions -- 10.4.1. Key Management -- 10.4.2. Routing -- 10.4.3. Social Trust and social ties -- 10.4.4. Access Control -- 10.4.5. Physical Layer Security -- 10.4.6. Network Coding -- 10.5. Conclusion -- 11. Automated diagnosis of skin cancer for healthcare: Highlights and Procedures -- 11.1. Introduction -- 11.2. Framework of Computer-aided Skin Cancer Classification Systems -- 11.2.1. Image Acquisition -- 11.2.2. Image Pre-processing -- 11.2.2.1. Color Contrast Enhancement -- 11.2.2.2. Artificial Removal.
11.2.3. Image Segmentation -- 11.2.3.1. Thresholding-based Segmentation -- 11.2.3.2. Edge-based Segmentation -- 11.2.3.3. Region-based Segmentation -- 11.2.3.4. Active contours-based Segmentation -- 11.2.3.5. Artificial Intelligence-based Segmentation -- 11.2.4. Feature Extraction -- 11.2.4.1. Color-based Features -- 11.2.4.2. Dimensional Features -- 11.2.4.3. Textual-based Features -- 11.2.4.4. Dermoscopic Rules and Methods -- 11.2.4.4.1. ABCD Rule -- 11.2.4.4.2 Menzies Method -- 11.2.4.4.3 7-Point Checklist -- 11.2.5. Feature Selection -- 11.2.6. Classification -- 11.2.7. Classification Performance Evaluation -- 11.3. Conclusion -- 12. Conclusion.
Record Nr. UNINA-9910820877603321
Hoboken, New Jersey : , : IEEE Press : , : Wiley, , [2020]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Internet of Things and Sensors Networks in 5G Wireless Communications
Internet of Things and Sensors Networks in 5G Wireless Communications
Autore Zhao Guodong
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (222 p.)
Soggetto non controllato fog computing
heterogeneous networks
distributed mechanism
energy efficiency
scheduling
CSMA
throughput
grant-free
D2D communication
MAC
Industrial Internet of Things
estimation
5G
survey
liquid detection
power control
sensor
SINR
radio propagation
MU association
Raspberry Pi
reliability
latency
deterministic
Industry 4.0
stochastic geometry
dielectric constant
Cyber Physical System
IoT
successive interference cancellation
URLLC
end-to-end delay
resource allocation
polynomial interpolation
industrial automation
cloud computing
mMTC
smart factory
deployment
ultra-reliable and low-latency communications
PHY
aperiodic traffic
NB-IoT
irregular repetition slotted ALOHA
edge computing
time-critical
eMBB
medium access control
M2M
Internet of Things
internet of things
sensor network
random access
smart devices
non-orthogonal multiple access
USRP
WCI
narrowband
congestion
ISBN 3-03928-149-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910372782203321
Zhao Guodong  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui