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.

Biblioteca

MARC Lista (tabellare)
Advances in parallel computing technologies and applications
Advances in parallel computing technologies and applications
Autore Hemanth D. Jude
Edizione [1st ed.]
Pubbl/distr/stampa , : IOS Press, Incorporated, , 2021
Descrizione fisica 1 online resource (450 pages)
Disciplina 004.35
Altri autori (Persone) ElhosenyMohamed
NguyenT. N
Collana Advances in Parallel Computing
Soggetto topico Parallel processing (Electronic computers)
Parallel programming (Computer science)
ISBN 1-64368-219-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Title Page -- Preface -- Contents -- Intrusion Detection System Using Convolutional Neural Network on UNSW NB15 Dataset -- VANET: Trust Evaluation Using Artificial Neural Network -- Auto Question Tagging for Health Care Using Machine Learning Technique -- A Noninvasive Model to Detect Malaria Based on Symptoms Using Machine Learning -- A Contemporary Method on Feature Selection and Classification Using Multi-Model Deep Learning Technique for Identifying Diabetic Retinopathy -- Multilevel Security Biometric Authentication Locking System Using Arduino UNO -- Footstep Power Generating System -- Secure and Privacy Based Home Patient Monitoring Internet of Things (HPMIoT) -- An Efficient Algorithm for Movie Recommendation System -- Person Identification Using Face and Speech Recognition for Visually Challenged with Mask Detection -- Framework for Authentication 802.1X Security Protocol of WNAS as RFC Access Management Device Associated with RFC Authentication Management Technique -- Fog Enabled Cloud Based Heart Rate Monitoring System -- COVID-19: Role of Deep Learning and Cloud Through Identification of Kidney, Pancreas and Intestine -- Energy Efficient Clustering Technique for VANET -- Trust-Based Public Key Management for Data Distribution in Wireless Networks -- Enhanced Handwritten Document Recognition Using Confusion Matrix Analysis -- The Role of AI in Battling Against Covid-19 Crisis in India -- Deep Learning Based Static Analysis of Malwares in Android Applications -- A Comparative Study of Detection and Classification of Emotions on Social Media Using SVM and Naive Bayes Techniques -- Survey on Erythema Migrans, and Basal Cell Carcinoma in Computer-Aided Diagnosis -- Sign Language Translator Using YOLO Algorithm -- Student Performance Prediction Using Machine Learning.
A New Approach for Security in Cloud Data Storage for IOT Applications Using Hybrid Cryptography Technique -- Intelligent Framework for Number Plate Detection and Recognition in Toll Using Image Processing Techniques -- IoT Based Health Monitoring System -- Traffic Monitoring System Using IoT and DL -- Distinct Actions Classification Using Human Action Tracker Technique in Sports Videos -- Smart Wearable System to Assist Asthma Patients -- Covid-19 Sentiment Analysis Using Deep Learning and Machine Learning -- Maize Grain Quality Classification Using Convolutional Neural Network -- Finding State of Mind Through Emotion and Sentiment Analysis of the Twitter Text -- A Novel Dual Encryption Algorithm to Enhance the Security in Image Transmission Using LSB 3-2-2 Technique -- Applications of Object Detection, Brain Tumor Detection and Classification -- Parallel Computing Enabled Cloudd-Based IOT Applications -- A Survey on Securing Medical Data in Cloud Using Blockchain -- Network Lifetime Analysis in IOT Environment in Healthcare Sectors Using Deep Learning Routing Approach -- An Comprehensive Survey on Applications of Precision Agriculture in the Context of Weed Classification, Leave Disease Detection, Yield Prediction and UAV Image Analysis -- IoT Based Shirodhara -- Model for Refactoring a Software Using Feature Oriented Dependency (FOD) -- Automatic Biometric System for Finger Knuckle Using Sparse Encoder Approaches -- Stock Market Prediction Using Machine Learning Techniques -- Smart Surveillance System for Abnormal Activity Detection Using CNN -- Increased Energy Conservation in Internet of Things (IoT) Related Wireless Networking -- Multi-Scale Fish Segmentation Refinement Using Contour Based Segmentation -- Heart Disease Prediction Using Hybrid Random Forest Model Integrated with Linear Model.
Heart Disease Prediction Using Convolutional Neural Network -- Ensuring the Survivablity of the Trekker Using Drone and RFID Technology -- IoT Based Smart Electrolytic Bottle Monitoring -- Smartphone Controlled Fingerprint Door Look System (SCFDLS) -- Effective Cataloging over Diverse Algorithms for Automatic Text Summarization and Its Survey -- Prospective Classification over Various Handwritten Character Recognition Algorithms - A Survey -- E-Society - A Financial and Event Management System -- Subject Index -- Author Index.
Record Nr. UNINA-9910795023703321
Hemanth D. Jude  
, : IOS Press, Incorporated, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in parallel computing technologies and applications
Advances in parallel computing technologies and applications
Autore Hemanth D. Jude
Edizione [1st ed.]
Pubbl/distr/stampa , : IOS Press, Incorporated, , 2021
Descrizione fisica 1 online resource (450 pages)
Disciplina 004.35
Altri autori (Persone) ElhosenyMohamed
NguyenT. N
Collana Advances in Parallel Computing
Soggetto topico Parallel processing (Electronic computers)
Parallel programming (Computer science)
ISBN 1-64368-219-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Title Page -- Preface -- Contents -- Intrusion Detection System Using Convolutional Neural Network on UNSW NB15 Dataset -- VANET: Trust Evaluation Using Artificial Neural Network -- Auto Question Tagging for Health Care Using Machine Learning Technique -- A Noninvasive Model to Detect Malaria Based on Symptoms Using Machine Learning -- A Contemporary Method on Feature Selection and Classification Using Multi-Model Deep Learning Technique for Identifying Diabetic Retinopathy -- Multilevel Security Biometric Authentication Locking System Using Arduino UNO -- Footstep Power Generating System -- Secure and Privacy Based Home Patient Monitoring Internet of Things (HPMIoT) -- An Efficient Algorithm for Movie Recommendation System -- Person Identification Using Face and Speech Recognition for Visually Challenged with Mask Detection -- Framework for Authentication 802.1X Security Protocol of WNAS as RFC Access Management Device Associated with RFC Authentication Management Technique -- Fog Enabled Cloud Based Heart Rate Monitoring System -- COVID-19: Role of Deep Learning and Cloud Through Identification of Kidney, Pancreas and Intestine -- Energy Efficient Clustering Technique for VANET -- Trust-Based Public Key Management for Data Distribution in Wireless Networks -- Enhanced Handwritten Document Recognition Using Confusion Matrix Analysis -- The Role of AI in Battling Against Covid-19 Crisis in India -- Deep Learning Based Static Analysis of Malwares in Android Applications -- A Comparative Study of Detection and Classification of Emotions on Social Media Using SVM and Naive Bayes Techniques -- Survey on Erythema Migrans, and Basal Cell Carcinoma in Computer-Aided Diagnosis -- Sign Language Translator Using YOLO Algorithm -- Student Performance Prediction Using Machine Learning.
A New Approach for Security in Cloud Data Storage for IOT Applications Using Hybrid Cryptography Technique -- Intelligent Framework for Number Plate Detection and Recognition in Toll Using Image Processing Techniques -- IoT Based Health Monitoring System -- Traffic Monitoring System Using IoT and DL -- Distinct Actions Classification Using Human Action Tracker Technique in Sports Videos -- Smart Wearable System to Assist Asthma Patients -- Covid-19 Sentiment Analysis Using Deep Learning and Machine Learning -- Maize Grain Quality Classification Using Convolutional Neural Network -- Finding State of Mind Through Emotion and Sentiment Analysis of the Twitter Text -- A Novel Dual Encryption Algorithm to Enhance the Security in Image Transmission Using LSB 3-2-2 Technique -- Applications of Object Detection, Brain Tumor Detection and Classification -- Parallel Computing Enabled Cloudd-Based IOT Applications -- A Survey on Securing Medical Data in Cloud Using Blockchain -- Network Lifetime Analysis in IOT Environment in Healthcare Sectors Using Deep Learning Routing Approach -- An Comprehensive Survey on Applications of Precision Agriculture in the Context of Weed Classification, Leave Disease Detection, Yield Prediction and UAV Image Analysis -- IoT Based Shirodhara -- Model for Refactoring a Software Using Feature Oriented Dependency (FOD) -- Automatic Biometric System for Finger Knuckle Using Sparse Encoder Approaches -- Stock Market Prediction Using Machine Learning Techniques -- Smart Surveillance System for Abnormal Activity Detection Using CNN -- Increased Energy Conservation in Internet of Things (IoT) Related Wireless Networking -- Multi-Scale Fish Segmentation Refinement Using Contour Based Segmentation -- Heart Disease Prediction Using Hybrid Random Forest Model Integrated with Linear Model.
Heart Disease Prediction Using Convolutional Neural Network -- Ensuring the Survivablity of the Trekker Using Drone and RFID Technology -- IoT Based Smart Electrolytic Bottle Monitoring -- Smartphone Controlled Fingerprint Door Look System (SCFDLS) -- Effective Cataloging over Diverse Algorithms for Automatic Text Summarization and Its Survey -- Prospective Classification over Various Handwritten Character Recognition Algorithms - A Survey -- E-Society - A Financial and Event Management System -- Subject Index -- Author Index.
Record Nr. UNINA-9910824194203321
Hemanth D. Jude  
, : IOS Press, Incorporated, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applications of cloud computing : approaches and practices / / edited by Prerna Sharma, Moolchand Sharma, Mohamed Elhoseny
Applications of cloud computing : approaches and practices / / edited by Prerna Sharma, Moolchand Sharma, Mohamed Elhoseny
Edizione [First edition.]
Pubbl/distr/stampa Boca Raton : , : Chapman & Hall/CRC, , 2021
Descrizione fisica 1 recurso en línea (210 pages) : il., gráf. y tablas
Disciplina 004.6782
Collana Chapman & Hall/CRC distributed sensing and intelligent systems series
Soggetto topico Cloud computing
Soggetto genere / forma Libros electrónicos
Soggetto non controllato Informática
ISBN 1-00-302569-2
1-000-21462-1
1-003-02569-2
1-000-21446-X
Classificazione C6190V
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910794315603321
Boca Raton : , : Chapman & Hall/CRC, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial intelligence applications for smart societies : recent advances / / Mohamed Elhoseny, K. Shankar, Mohamed Abdel-Basset, editors
Artificial intelligence applications for smart societies : recent advances / / Mohamed Elhoseny, K. Shankar, Mohamed Abdel-Basset, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (249 pages)
Disciplina 006.3
Collana Studies in Distributed Intelligence
Soggetto topico Artificial intelligence
Internet of things
Crowdsourcing
ISBN 3-030-63068-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Marketing Statement -- Contents -- Artificial Intelligence Applications for Smart Societies -- 1 Introduction -- 2 AI Models on Urban Computing -- 3 AI Models on Sustainability -- 3.1 Issues in the Medium Term -- 3.2 Long Term Prospects -- 4 AI Models in the Healthcare Sector -- 4.1 Near Term Opportunity -- 4.1.1 Targeted Therapy Decisions -- 4.1.2 New Sensors, New Healthcare Delivery -- 4.2 Opportunities -- 4.2.1 Collaborative Decision-Making -- 4.2.2 Addressing Bias -- 4.3 Challenges in the Healthcare Sector -- 4.3.1 Security -- 4.3.2 Public Welfare -- 5 AI Techniques in Educational Sector -- 5.1 AI-Enabled Hyper-Personalization -- 5.2 Adoption of Voice Assistants -- 5.3 Assisting Educators with Organizational Tasks -- 6 AI for Security and Justice -- 6.1 Public Safety Video and Image Analysis -- 6.2 DNA Examination -- 6.3 Gunshot Detection -- 6.4 Crime Forecasting -- 7 Cross-Cutting Issues -- 7.1 AI for Social Good -- 7.2 Apply Inspired Study -- 7.3 Interdisciplinary Teams As Well As Novel Styles of Work -- 7.4 Interpretability, Transparency, Accountability -- 7.5 Human-AI Boundary -- 8 Conclusion -- References -- An Intelligent Classification Model for Big Data with Artificial Intelligence in Social Internet of Things -- 1 Introduction -- 2 Proposed Model -- 2.1 Data Collection -- 2.2 EHO-Based FS -- 2.2.1 Motion Update of an Optimal Elephant of Every Clan -- 2.2.2 Separation of Worse Elephants in Clan -- 2.3 RBF-Based Classification -- 2.3.1 Input Vector -- 2.3.2 RBF Neurons -- 2.3.3 Output Nodes -- 2.3.4 RBF Neuron Activation Function -- 3 Results Analysis -- 3.1 Dataset Used -- 3.1.1 Dataset I -- 3.1.2 Dataset II -- 3.1.3 Dataset III -- 3.1.4 Dataset IV -- 3.2 Measures -- 3.3 Results Analysis -- 3.3.1 Energy Expenditure Analysis -- 3.3.2 Throughput Analysis -- 3.3.3 Accuracy Analysis -- 4 Conclusion -- References.
An Efficient Low-Cost Smart Water Monitoring System Based on the Internet of Things and Artificial Intelligence Techniques -- 1 Introduction -- 1.1 Research Questions -- 1.2 Research Scope -- 1.3 Objective -- 2 Review of Literature -- 3 Materials and Methods -- 3.1 Layers: WMS -- 3.2 Dataset: WMS -- 4 Results and Discussion -- 5 Conclusion -- References -- Multi-Objective WSN Detection Model in the Internet of Underwater Things (IoUT) for Smart Cities -- 1 Introduction -- 2 Proposed Multi-Object Detection Model for UWSN -- 2.1 Key Frame Extraction from Video -- 2.2 The RoI Pooling Layer -- 2.3 Initialization of Pre-trained Networks -- 2.4 Fine-Tuning for Detection -- 2.4.1 Multi-Task Loss -- 2.4.2 Mini-Batch Sampling -- 2.4.3 RoI Pooling Layers by Back-Propagation -- SGD Parameters -- Scale Invariant -- 2.5 Fast R-CNN Detection -- 2.5.1 Truncated SVD for Faster Detection -- 3 Performance Validation -- 4 Conclusion -- References -- An Intelligent Multi-Objective Optimal Resource Allocation via Modified Fish Swarm for Sustainable Smart Cities -- 1 Introduction -- 2 Literature Review -- 3 Current Problems in Optimal Resource Management -- 4 Research Methodology -- 4.1 Resource Allocation Architecture in the IoT -- 4.2 Optimal Sustainable Smart Cities -- 4.3 Objective Function of the Proposed Model -- 4.3.1 Initial Resource Solution Generation -- 4.3.2 Updating Using MFSA -- Searching Behavior -- Swarming Behavior -- Chasing Behavior -- 4.3.3 Resource Management-Based Task Allocation -- 5 Results and Analysis -- 6 Conclusion -- References -- An Artificial Intelligence-Based Improved Grasshopper Optimization Algorithm for Attack and Anomaly Detection in Smart Societies -- 1 Introduction -- 2 Background Information -- 2.1 IoT Concept -- 2.2 Bio-Inspired Algorithm -- 3 Proposed Model -- 4 Performance Validation -- 4.1 Dataset -- 4.2 Results Analysis.
5 Conclusion -- References -- An Effective Artificial Intelligence Approach Based on Multipoint Relays for Transportation in Smart Cities Using a Certificate Revocation Scheme -- 1 Introduction -- 2 Literature Review -- 3 Strategy for Energy Efficient Smart Transportation -- 3.1 Cluster Generation -- 3.2 Separation of Revoked Nodes -- 3.3 Energy Efficient Routing via PGS with OLSR -- 3.3.1 OLSR Protocol in VANET -- 3.3.2 PGS Model -- Fitness -- PGS Updating -- 3.4 Data Transmission Through Optimal Routing -- 4 Results and Analysis -- 4.1 Results Based on Rate -- 4.2 Results Based on Attackers -- 5 Conclusion -- References -- An Intelligent Intrusion Detection for Smart Cities Application Based on Random Optimization with Recurrent Network -- 1 Introduction -- 2 Related Works -- 3 Background of ID in Smart City -- 3.1 Intrusion Detection Process -- 3.2 Recurrent Neural Network -- 3.2.1 General Description of Basic RNN -- 3.3 Proposed Structure of ID Through IoT -- 3.3.1 Feature Selection of ID in Smart City -- 3.4 Attack Detection in Smart City Application -- 4 Results and Discussion -- 5 Conclusion -- References -- An Intelligent Fitness-Scaling Chaotic Genetic Ant Colony Algorithm Based on Task-Scheduling in Cloud Computing Environments -- 1 Introduction -- 2 The Proposed Task Scheduling Algorithm. -- 3 Performance Evaluation -- 4 Conclusion -- References -- Artificial Intelligence-Based Optimal Residual Network Model for Diabetic Retinopathy Image Classification -- 1 Introduction -- 2 Proposed Method -- 2.1 CLAHE-Based Image Segmentation -- 2.2 ResNet -- 2.2.1 Function Classes -- 2.2.2 Residual Blocks -- 2.2.3 ResNet Model -- 3 Performance Validation -- 3.1 Dataset -- 3.2 Results Analysis -- 4 Conclusion -- References -- A Framework of Automated Office Farming with Advanced Sensing Technology for Smart Cities -- 1 Introduction.
2 Material and Methods -- 3 Preparation of Framework -- 3.1 AcuRite -- 3.2 Soil Sensor -- 3.3 Automated Irrigation System -- 3.4 SEBEL -- 3.5 LiDAR -- 3.6 Acoustic and PIR -- 4 Results and Discussion -- 5 Conclusions -- References -- Intelligent Heart Disease Detection and Classification Method Using Optimal Neuro-Fuzzy with Stochastic Gradient Descent Model for Smart Societies -- 1 Introduction -- 2 Proposed ONFSGD Method -- 2.1 Neuro-Fuzzy (NF) Classifier Architecture -- 2.2 Training NFC -- 2.3 Stochastic Gradient Descent (SGD) -- 3 Performance Validation -- 3.1 Dataset Description -- 3.2 Results Analysis -- 4 Conclusion -- References -- Intelligent Call Admission Control Decision Maker for Cloud-Based Smart City Applications in the 5G Environment -- 1 Introduction -- 2 Review of Recent Papers -- 3 Current System and Development Model -- 3.1 Development Model -- 3.2 Call Admission Control (CAC) -- 3.2.1 Optimization for Smart City Communication in 5G Network -- Initial Solution Generation -- Fitness or Food Concentration -- New Fuzzy Solution Updating -- Final Optimal Solution -- 3.3 Optimal Fuzzy Model-Based CAC -- 3.3.1 Fuzzification -- 3.3.2 Membership Function Generation for Optimal Fuzzy -- 3.3.3 Defuzzification -- 4 Results Analysis -- 5 Conclusion -- References -- Real Time License Plate Recognition Model Using Convolution Neural Network for Intelligent Transportation Systems -- 1 Introduction -- 2 The Proposed Model -- 2.1 Preprocessing -- 2.2 CNN-Based LP Detection Process -- 2.3 Gabor Filtering-Based LP Segmentation -- 2.4 Tesseract-Based Character Recognition -- 3 Experimental Validation -- 3.1 Dataset Used -- 3.2 Results Analysis -- 4 Conclusion -- References -- Robust Digital Image Watermarking Approach for Secure Medical Data Transmission in Smart Cities -- 1 Introduction -- 2 Related Works -- 3 The Proposed RDW-FF Model.
3.1 Discrete Stationary Wavelet Transform (SWT) -- 3.2 Singular Value Decomposition (SVD) -- 3.3 FF Algorithm -- 3.4 Proposed Digital Image Watermarking Process -- 3.4.1 The SF -- 3.4.2 Algorithm Process -- Embedding Process -- Extraction Procedure -- 4 Experimental Results and Discussion -- 5 Conclusion -- References -- Index.
Record Nr. UNINA-9910483811403321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Biometric identification technologies based on modern data mining methods / / Stepan Bilan, Mohamed Elhoseny, D. Jude Hemanth, editors
Biometric identification technologies based on modern data mining methods / / Stepan Bilan, Mohamed Elhoseny, D. Jude Hemanth, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (x, 200 pages) : illustrations
Disciplina 006.4
Soggetto topico Biometric identification
Biometry
Data mining
ISBN 3-030-48378-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Image processing and recognition -- Intellectual technologies in systems of biometric identification -- Biometric scanners -- Methods and means of biometric identification by fingerprint -- Methods and means of biometric identification based on the iris of the eye -- Methods and means of biometric identification by hand geometry -- Methods and means of biometric identification based on retina pattern -- Methods and means of biometric identification through the veins of the fingers -- Voice authentication -- Handwriting authentication -- Identification by the handwriting on the keyboard -- Gait identification -- Finger micro-vibration identification -- Identification by the movement of the lips -- Identification through an electrocardiogram -- Conclusion.
Record Nr. UNISA-996464384303316
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Biometric identification technologies based on modern data mining methods / / Stepan Bilan, Mohamed Elhoseny, D. Jude Hemanth, editors
Biometric identification technologies based on modern data mining methods / / Stepan Bilan, Mohamed Elhoseny, D. Jude Hemanth, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (x, 200 pages) : illustrations
Disciplina 006.4
Soggetto topico Biometric identification
Biometry
Data mining
ISBN 3-030-48378-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Image processing and recognition -- Intellectual technologies in systems of biometric identification -- Biometric scanners -- Methods and means of biometric identification by fingerprint -- Methods and means of biometric identification based on the iris of the eye -- Methods and means of biometric identification by hand geometry -- Methods and means of biometric identification based on retina pattern -- Methods and means of biometric identification through the veins of the fingers -- Voice authentication -- Handwriting authentication -- Identification by the handwriting on the keyboard -- Gait identification -- Finger micro-vibration identification -- Identification by the movement of the lips -- Identification through an electrocardiogram -- Conclusion.
Record Nr. UNINA-9910484839503321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Cybersecurity and Secure Information Systems : Challenges and Solutions in Smart Environments / / edited by Aboul Ella Hassanien, Mohamed Elhoseny
Cybersecurity and Secure Information Systems : Challenges and Solutions in Smart Environments / / edited by Aboul Ella Hassanien, Mohamed Elhoseny
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (X, 314 p. 128 illus., 95 illus. in color.)
Disciplina 005.8
Collana Advanced Sciences and Technologies for Security Applications
Soggetto topico Computer security
System safety
Data encryption (Computer science)
Systems and Data Security
Privacy
Security Science and Technology
Cryptology
ISBN 3-030-16837-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Security and Privacy in Smart City Applications and Services: Opportunities and Challenges -- A Lightweight Multi-Level Encryption Model for IoT Applications -- An Efficient Image Encryption Scheme based on Signcryption Technique with Adaptive Elephant Herding Optimization -- Time Split based Pre-processing with a Data-driven Approach for Malicious URL Detection; Optimal Wavelet Coefficients Based Steganography for Image Security with Secret Sharing Cryptography Model -- Deep learning Framework for Cyber Threat Situational Awareness based on Email and URL Data Analysis -- Application of Deep Learning Architectures for Cyber security.-Improved DGA Domain Names Detection and Categorization using Deep learning Architectures with Classical Machine learning Algorithms -- Secure Data Transmission through Reliable Vehicles in VANET using Optimal Lightweight Cryptography -- Some specific examples of attacks on information systems and smart cities applications -- Clustering Based Cybersecurity Model for Cloud Data -- A Detailed Investigation and Analysis of Deep Learning Architectures and Visualization Techniques for Malware Family Identification -- Design and Implementation of a Research and Education Cybersecurity Operations Center.
Record Nr. UNINA-9910337835503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Distributed Sensing and Intelligent Systems : Proceedings of ICDSIS 2020 / / edited by Mohamed Elhoseny, Xiaohui Yuan, Salah-ddine Krit
Distributed Sensing and Intelligent Systems : Proceedings of ICDSIS 2020 / / edited by Mohamed Elhoseny, Xiaohui Yuan, Salah-ddine Krit
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (841 pages)
Disciplina 006.3
006.37
Collana Studies in Distributed Intelligence
Soggetto topico Geographic information systems
Data mining
Cooperating objects (Computer systems)
Machine learning
Computational intelligence
Geographical Information System
Data Mining and Knowledge Discovery
Cyber-Physical Systems
Machine Learning
Computational Intelligence
ISBN 3-030-64258-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910735385403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Emerging Technologies for Connected Internet of Vehicles and Intelligent Transportation System Networks : Emerging Technologies for Connected and Smart Vehicles / / edited by Mohamed Elhoseny, Aboul Ella Hassanien
Emerging Technologies for Connected Internet of Vehicles and Intelligent Transportation System Networks : Emerging Technologies for Connected and Smart Vehicles / / edited by Mohamed Elhoseny, Aboul Ella Hassanien
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (184 pages)
Disciplina 388.312
Collana Studies in Systems, Decision and Control
Soggetto topico Computational intelligence
Transportation engineering
Traffic engineering
Computational Intelligence
Transportation Technology and Traffic Engineering
ISBN 3-030-22773-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Energy Efficient Optimal Routing for Communication in VANETs via Clustering Model -- Mobility and QoS Analysis in VANET Using NMP with Salp Optimization Models -- Studying connectivity probabil-ity and connection duration in freeway VANETs -- A survey of different storage methods for NGN mobile networks: Storage capacity, Security and Response time -- Application of Artificial Intelligence Approach for Optimizing Management of Road Traffic -- Mobility Condition to Study Performance of MANET Routing Protocols -- Internet of Vehicles over Named Data Networking: Current Status and Future Challenges -- Internet of Things Smart Home Ecosystem -- An Enhanced Adhoc Approach Based on Active Help to Detect Data Flow Anomalies in a Loop of a Business Modeling -- An Adaptive Vehicular Relay and Gateway Selection Scheme for Connecting VANETs to Internet via 4G LTE Cellular Network -- Mobility Management: from traditional to people-centric approach in the smart city.
Record Nr. UNINA-9910484774203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Wavelet Based Techniques for Advanced Multimedia Applications [[electronic resource] /] / by Rajiv Singh, Swati Nigam, Amit Kumar Singh, Mohamed Elhoseny
Intelligent Wavelet Based Techniques for Advanced Multimedia Applications [[electronic resource] /] / by Rajiv Singh, Swati Nigam, Amit Kumar Singh, Mohamed Elhoseny
Autore Singh Rajiv
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XXI, 144 p. 89 illus., 43 illus. in color.)
Disciplina 006.7
Soggetto topico Optical data processing
Biometrics (Biology)
Multimedia information systems
Image Processing and Computer Vision
Biometrics
Multimedia Information Systems
ISBN 3-030-31873-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Wavelets and Intelligent Multimedia Applications: An Introduction -- Wavelet Transforms: From Classical to New Generation Wavelets -- An Overview of Medical Image Fusion in Complex Wavelet Domain -- Integration of Wavelet Transforms for Single and Multiple Image Watermarking -- On Wavelet Domain Video Watermarking Techniques -- Object Tracking -- Camouflaged Person Identification -- Wavelets for Activity Recognition -- Biometric Recognition of Emotions Using Wavelets -- Intelligent Multimedia Applications in Wavelet Domain: New Trends and Future Research Directions.
Record Nr. UNISA-996465364803316
Singh Rajiv  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui