Capsule networks and autonomous systems / / guest editor, S. Smys [and three others] |
Pubbl/distr/stampa | [Place of publication not identified] : , : Emerald Publishing, , 2019 |
Descrizione fisica | 1 online resource (99 pages) |
Disciplina | 629.8 |
Collana | International Journal of Intelligent Unmanned Systems |
Soggetto topico | Intelligent control systems |
Soggetto genere / forma | Electronic books. |
ISBN | 1-83982-371-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910467243403321 |
[Place of publication not identified] : , : Emerald Publishing, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Capsule networks and autonomous systems / / guest editor, S. Smys [and three others] |
Pubbl/distr/stampa | [Place of publication not identified] : , : Emerald Publishing, , 2019 |
Descrizione fisica | 1 online resource (99 pages) |
Disciplina | 629.8 |
Collana | International Journal of Intelligent Unmanned Systems |
Soggetto topico | Intelligent control systems |
ISBN | 1-83982-371-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910793940803321 |
[Place of publication not identified] : , : Emerald Publishing, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Capsule networks and autonomous systems / / guest editor, S. Smys [and three others] |
Pubbl/distr/stampa | [Place of publication not identified] : , : Emerald Publishing, , 2019 |
Descrizione fisica | 1 online resource (99 pages) |
Disciplina | 629.8 |
Collana | International Journal of Intelligent Unmanned Systems |
Soggetto topico | Intelligent control systems |
ISBN | 1-83982-371-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910826660903321 |
[Place of publication not identified] : , : Emerald Publishing, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Computational vision and bio-inspired computing : proceedings of ICCVBIC 2022 / / edited by S. Smys, João Manuel R. S. Tavares, and Fuqian Shi |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
Descrizione fisica | 1 online resource (XVIII, 827 p. 434 illus., 344 illus. in color.) |
Disciplina | 006.37 |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico |
Computer vision
Natural computation |
ISBN | 981-19-9819-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910686481503321 |
Singapore : , : Springer, , [2023] | ||
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Lo trovi qui: Univ. Federico II | ||
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Computational vision and bio-inspired computing : proceedings of ICCVBIC 2021 / / edited by S. Smys, João Manuel R. S. Tavares, Valentina Emilia Balas |
Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (877 pages) |
Disciplina | 730 |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico | Natural computation |
ISBN |
981-16-9572-5
981-16-9573-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Acknowledgements -- Contents -- About the Editors -- Molecular Docking Analysis of Selected Phytochemicals for the Treatment of Proteus Syndrome -- 1 Introduction -- 2 Methods and Materials -- 3 Results and Discussion -- 4 Conclusion and Future Prospects -- References -- A Deep Learning-Based Detection of Wrinkles on Skin -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Computer Vision -- 3.2 Convolution Neural Network (CNN) -- 3.3 Hough Trnaformer -- 4 Experimental Results -- 5 Conclusion -- References -- Image Transmission Using Leach and Security Using RSA in Wireless Sensor Networks -- 1 Introduction -- 2 Literature Survey -- 3 Leach with RSA: Proposed Scheme -- 4 Simulation Results -- 5 Conclusion -- References -- Code Injection Prevention in Content Management Systems Using Machine Learning -- 1 Introduction -- 2 Background and Related Work -- 3 Our Work -- 3.1 Data Gathering -- 3.2 Data Analysis and Feature Extraction -- 3.3 Dataset -- 3.4 Feature Selection -- 3.5 Machine Learning Using Logistic Regression Algorithm -- 4 Results -- 4.1 Model Interpretation -- 5 Conclusion -- References -- A Review of Hyperspectral Image Classification with Various Segmentation Approaches Based on Labelled Samples -- 1 Introduction -- 1.1 Organization of the Paper -- 2 Datasets and Metrics Used for Hyperspectral Image Classification -- 3 Literature Survey -- 3.1 Machine Learning Techniques -- 3.2 Neural Network Techniques -- 3.3 Analysis Dependent on Various Parameters -- 4 Discussion -- 5 Future Technologies -- 6 Conclusion -- References -- Improvements in User Targeted Offline Advertising Using CNN and Deviation-Based Queue Scheduling -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Overview -- 3.2 Convolutional Neural Network -- 3.3 Deviation-Based Queue Generation -- 4 Results and Discussion.
5 Performance Comparison -- 5.1 Overlapping Target Audience Problem -- 5.2 Comparison of TARP 2.0 with Random Display and Display Using TARP -- 5.3 Delay Time Comparison of TARP 2.0 with TARP -- 6 Conclusion -- References -- Movie Recommendation System Using Hybrid Collaborative Filtering Model -- 1 Introduction -- 1.1 Literature Survey -- 2 Need and Applicability -- 2.1 Need -- 2.2 Applicability -- 3 Proposed Approach -- 3.1 Dataset Preparation -- 3.2 Dataset Description -- 3.3 Modeling -- 4 Results -- 5 Conclusion -- References -- Hybrid Pipeline Infinity Laplacian Plus Convolutional Stage Applied to Depth Completion -- 1 Introduction -- 1.1 Related Works -- 2 Method -- 2.1 Used Metric -- 2.2 Proposed Metric -- 3 Practical Model Implementation -- 3.1 Convolutional Stage -- 3.2 Convolutional Stage for the Completed Depth Map -- 4 Parameters Estimation -- 4.1 Learning Curve for the Complete Pipeline -- 4.2 Learning Curve for Median-Pipeline -- 4.3 Learning Curve Convolutional Stage-Median-Pipeline Simplified Metric -- 4.4 Learning Curve SC1-Median-Pipeline with Simple Metric -- 5 Experiments and Dataset -- 5.1 Dataset -- 5.2 Experiments -- 6 Results -- 7 Discussion -- 8 Conclusions -- References -- A Novel Approach of DEMOO with SLA Algorithm to Predict Protein Interactions -- 1 Introduction -- 2 Methodology -- 2.1 Feature Extraction -- 2.2 Label Propagation Algorithm -- 2.3 Incremental Depth Extension (INDEX) Approach -- 2.4 Formation of a PPI Network -- 2.5 Neighborhood Topology with Protein Interaction Prediction -- 2.6 Functional Characteristics of Protein Interaction Prediction -- 2.7 Predicting PPIs Using ASA -- 2.8 Differential Evolution Algorithm for Multi-objective Optimization -- 2.9 Stochastic Learning Automata (SLA) -- 3 Results and Discussion -- 3.1 Performance Measures. 3.2 Performance Comparison of Existing and Proposed Methods for DIP and SCOP Datasets -- 4 Conclusion -- References -- Economic Load Dispatch Problem with Valve-Point Loading Effect Using DNLP Optimization Using GAMS -- 1 Introduction -- 2 Economic Load Dispatch Mathematical Model -- 2.1 Constraints -- 2.2 Procedure -- 2.3 Contributions of Proposed Method -- 3 Results -- 4 Conclusions -- References -- Solar Radio Spectrum Classification Based on ConvLSTM -- 1 Introduction -- 2 Solar Radio Spectrum Dataset -- 2.1 The Introduction of SBRS Dataset -- 2.2 Dataset Extension -- 3 Pre-processing of Solar Radio Spectrums -- 3.1 Channel Normalization -- 3.2 Down-Sampling -- 4 Solar Radio Spectrum Classification Model Based on ConvLSTM -- 5 Experiment Results and Analysis -- 6 Conclusion -- References -- Particle Swarm Optimization-Based Neural Network for Wireless Heterogeneous Networks -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Work -- 4 Results -- 5 Conclusion -- References -- Impact Analysis of COVID-19 on Various Indian Sectors -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 4 Dataset -- 5 Screen time Analysis -- 5.1 Hypothesis Testing -- 6 Industrial Analysis -- 6.1 Information Technology -- 6.2 Fast-moving Consumer Goods (FMCG) -- 6.3 Hospitality -- 6.4 Aviation -- 7 Conclusion -- References -- Emotion Recognition in Speech Using MFCC and Classifiers -- 1 Introduction -- 2 Lıterature Revıew -- 3 Methodology -- 3.1 Emotions -- 3.2 Data -- 3.3 Dataset -- 3.4 Feature Extraction -- 3.5 Mel-frequency Cepstral Coefficient -- 4 Results -- 5 Conclusion -- References -- A Comparative Analysis on Image Caption Generator Using Deep Learning Architecture-ResNet and VGG16 -- 1 Introduction -- 2 Related Works -- 3 Comparison of Image Generator Using ResNet-50 and VGG16 -- 3.1 Image Preprocessing -- 3.2 Image Feature Extraction. 4 Text Feature Understanding Using LSTM -- 5 Results and Discussion -- 6 Conclusion -- References -- Corona Warrior Smart Band -- 1 Introduction -- 2 Literature Survey -- 3 Block Diagram and Working Principle -- 4 Implementation Platform -- 5 Results -- 6 Conclusion -- References -- Cellular Learning Automata: Review and Future Trend -- 1 Introduction -- 2 Cellular Automata (CA) -- 3 Learning Automata (LA) and Reinforcement Learning (RL) -- 4 Cellular Learning Automata (CLA) -- 5 Wireless Sensor and Actuator Networks (WSAN) -- 6 Future Trends -- 7 Conclusion -- References -- Computer Vision and Machine Learning-Based Techniques for Detecting the Safety Violations of COVID-19 Scenarios: A Review -- 1 Introduction -- 2 Related Work -- 2.1 Survey on Face Mask Detection -- 2.2 Survey on Social Distancing Detection -- 2.3 Survey on People Count Detection -- 2.4 Comparison Table of Literature Review -- 3 Outcome of Literature Review -- 4 Datasets -- 5 Challenges and Future Perspectives -- 6 Conclusion -- References -- Stigmergy-Based Collision-Avoidance Algorithm for Self-Organising Swarms -- 1 Introduction -- 2 Multi-agent Collision Avoidance Based on Stigmergy -- 3 Numerical Experiments -- 4 Conclusions -- References -- Handling Security Issues in Software-defined Networks (SDNs) Using Machine Learning -- 1 Introduction -- 2 Need of SDN -- 3 SDN and NFV -- 4 Security Issues in SDN -- 4.1 Hardware Security Issues -- 4.2 Security Threats at Software Level -- 5 Early Approaches for Securing SDN -- 5.1 Intrusion Detection and Prevention System (IDPS) for SDN -- 5.2 Intrusion Tolerant System (ITS) for SDN -- 5.3 Stateful Firewall for SDN -- 5.4 Framework for DDOS Detection and Prevention -- 6 Securing SDN with Machine Learning -- 6.1 Supervised ML for SDN -- 6.2 Unsupervised ML Algorithm for SDN -- 6.3 Semi-supervised Learning Approaches for SDN. 6.4 Machine Learning-based NIDS for SDN -- 7 Issues in Existing ML-based SDN -- 8 Conclusion -- 9 Future Scope -- References -- Multi-purpose Web Application Honeypot to Detect Multiple Types of Attacks and Expose the Attacker's Identity -- 1 Introduction -- 2 Related Work -- 3 Methods Used -- 3.1 Honeypot -- 3.2 GUI -- 3.3 Controller -- 3.4 Models -- 3.5 Sequence of Events -- 4 Proposed System -- 4.1 System Working -- 4.2 Overcoming Brute Force Script Attack -- 4.3 Overcoming Static Resource Attack -- 4.4 Overcoming Web Scraping Script (WSS) Attack -- 4.5 Overcoming GET/POST Request -- 4.6 Advantages of the Proposed Method -- 5 Experimental Results -- 6 Conclusion and Future Scope -- References -- An Empirical Approach for Tuning an Autonomous Mobile Robot in Gazebo -- 1 Introduction -- 2 Related Works -- 3 Related Theory -- 3.1 Sensors -- 3.2 Light Detection and Ranging (LIDAR) -- 3.3 Inertial Measurement Unit (IMU) -- 3.4 Adaptive Monte Carlo Localization (AMCL) -- 3.5 Navigation -- 4 Methodology -- 4.1 Costmap Parameters -- 4.2 Planner Parameters -- 5 Experimentation Result -- 6 Result Analysis -- 7 Conclusion -- References -- An Investigation on Computational Intelligent Solutions for Highly Dynamic Wireless Sensor Networks -- 1 Introduction -- 2 Computational Intelligent Paradigms -- 2.1 Fuzzy Logic (FL) -- 2.2 Evolutionary Algorithms (EA) -- 2.3 Artificial Neural Networks (ANN) -- 2.4 Swarm Intelligence (SI) -- 3 WSN Challenges -- 4 Related Work -- 4.1 CI Approaches for Energy Management -- 4.2 Heuristic Solutions for Packet Routing -- 4.3 Traffic Management with Channel Dynamics Using CI Methods -- 5 Conclusion -- References -- A Study of Underwater Image Pre-processing and Techniques -- 1 Introduction -- 2 Literature Review -- 3 Types of Image Pre-processing -- 3.1 Color Conversion -- 4 Binarization -- 5 Filtering -- 6 Resizing. 7 Techniques of Underwater Image Processing. |
Record Nr. | UNINA-9910743363203321 |
Singapore : , : Springer, , [2022] | ||
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Lo trovi qui: Univ. Federico II | ||
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Computational vision and bio-inspired computing : ICCVBIC 2020 / / edited by S. Smys [and three others] |
Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (857 pages) |
Disciplina | 006.3 |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico |
Computational intelligence
Optical data processing Biology - Technique Visió per ordinador Processament òptic de dades Intel·ligència computacional |
Soggetto genere / forma |
Congressos
Llibres electrònics |
ISBN | 981-336-862-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910485589803321 |
Singapore : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. Federico II | ||
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Computer Networks and Inventive Communication Technologies : Proceedings of Fourth ICCNCT 2021 / / edited by S. Smys, Robert Bestak, Ram Palanisamy, Ivan Kotuliak |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
Descrizione fisica | 1 online resource (889 pages) |
Disciplina | 004.6 |
Collana | Lecture Notes on Data Engineering and Communications Technologies |
Soggetto topico |
Telecommunication
Control engineering Robotics Automation Artificial intelligence Computer input-output equipment Communications Engineering, Networks Control, Robotics, Automation Artificial Intelligence Input/Output and Data Communications |
ISBN |
981-16-3727-X
981-16-3728-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1. Energy Efficient Clustering in Wireless Sensor Networks by Opposition-based Initialization Bat Algorithm -- Chapter 2. Efficient Data Collection in Wireless Sensor Network -- Chapter 3. Job Scheduling in Cloud Computing based on DGPSO -- Chapter 4. Read-Write Decoupled Single-Ended 9T SRAM Cell for Low Power Embedded Applications -- Chapter 5. Spam Detection using Genetic Algorithm Optimized LSTM Model -- Chapter 6. Affine Recurrence based Key Scheduling Algorithm for the Advanced Encryption Standard -- Chapter 7. Simplify Your Neural Networks: An Empirical Study on Cross Project Defect Prediction -- Chapter 8. Emotion Recognition During Social Interactions using Peripheral Physiological Signals -- Chapter 9. Phishing Detection using Computer Vision -- Chapter 10. A Comprehensive Attention-based Model for Image Captioning -- Chapter 11. Multimedia Text Summary Generator for Visually Impaired -- Chapter 12. Key-logger threat to the Android Mobile Banking Applications -- Chapter 13. Machine Learning-based Networ Intrusion Detection System -- Chapter 14. BGCNN: A Computer Vision Approach to Recognize of Yellow Mosaic Disease for Black Gram -- Chapter 15. Irrelevant Racist Tweets Identification using Data Mining Techniques. |
Record Nr. | UNINA-9910743368203321 |
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Computer networks and inventive communication technologies : proceedings of third ICCNCT 2020 / / editors, S. Smys [et al.] |
Edizione | [1st edition 2021.] |
Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (XX, 1236 p. 658 illus., 480 illus. in color.) |
Disciplina | 004.6 |
Collana | Lecture Notes on Data Engineering and Communications Technologies |
Soggetto topico | Computer networks |
ISBN | 981-15-9647-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Analysis and Design Recommendations for Nepal Tourism Website based on user Perspective -- Packet Priority Scheduling for Data Delivery Based on Multipath Routing in Wireless Sensor Network -- Fall Prevention System for Workers Working on High Towers -- Optimization of Merge Hypothesis for Automatic Image Caption Generation -- Comparative Study of Machine Learning Techniques for Chronic Disease Prognosis -- Real-time Video Surveillance System for Detecting Malicious Actions and Weapons in Public Spaces -- Facial Expression Recognition System Using Different Methods -- Robot Navigation through QR and Text Detection -- Comparative Study of Cooling Solutions of a Drone Based on Raspberry Pi Deducing the Most Efficient Cooling Method -- Mechanism for Saving Base Stations Energy using Binary Particle Swarm Optimization -- Adaptive Frost Filtered Quantile Regressive Artificial Deep Structure Learning Framework for Image Quality Assessment -- Classification of In-House Managed Equipment by Listing its Parts -- Blockchain based Secure and Efficient Crowdsourcing Framework -- Attendance System Using Face Recognition for Academic Education -- A Comparative Study of Conventional Machine Learning and Deep Learning Models to Find Semantic Similarity -- Enhancement of Dehazing Methods using DNN and Filtering -- An Organized Study on Data Divulge Elimination and Discernment -- Study of Simulation Environment of Cloud Broker and Classification of cloud Service Broker -- Contactless Transaction Using Wearable Ring with Biometric Fingerprint Security Feature -- Hybridization of TrellisNet with CNN -- Perlustration on Mobile Forensics Tools. |
Record Nr. | UNINA-9910484455603321 |
Singapore : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. Federico II | ||
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Inventive computation and information technologies : proceedings of ICICIT 2022 / / S. Smys, Khaled A. Kamel, and Ram Palanisamy, editors |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore Pte Ltd., , [2023] |
Descrizione fisica | 1 online resource (971 pages) |
Disciplina | 004 |
Collana | Lecture Notes in Networks and Systems Series |
Soggetto topico |
Computer science
Information technology |
ISBN | 981-19-7402-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Detecting Wildlife Trapped Images using Automatically Shared Nearest Neighboring Pixels (ASNNP) -- A Meta-Classifier Link Prediction Model for False Profile Identification in Facebook -- Comparison of Various CNN Models For Image Classification -- Enhancing Customer Prediction using Machine Learning with Feature Selection Approaches -- Domain Name System Resolution System with Hyperledger Fabric Blockchain -- Parametric Analysis of Resource Constrained Devices for Internet of Things using FreeRTOS -- A Text Analytics Approach of Exploratory Visualization of Legal Parameters of Dowry Death Cases -- Okra Cultivation Using IoT and Disease Detection -- Identifying Pitfalls and Solutions in parallelizing Long Short Term Memory Network on Graphical Processing Unit by comparing with Tensor Processing Unit Parallelism -- Supply Chain Management In Blockchain Using Hyperledger -- JYOTI: An Intelligent App for Women Security -- Performance Analysis of Machine Learning Algorithms in the Systematic Prediction of Chronic Kidney Disease on an Imbalanced Dataset -- Robotic Process Automation Powered Admission Management System. |
Record Nr. | UNINA-9910678265003321 |
Singapore : , : Springer Nature Singapore Pte Ltd., , [2023] | ||
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Lo trovi qui: Univ. Federico II | ||
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Inventive computation and information technologies : proceedings of ICICIT 2021 / / S. Smys, Valentina Emilia Balas, Ram Palanisamy, editors |
Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (911 pages) |
Disciplina | 004 |
Collana | Lecture notes in networks and systems |
Soggetto topico | Information technology |
ISBN |
981-16-6723-3
981-16-6722-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910743244103321 |
Singapore : , : Springer, , [2022] | ||
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Lo trovi qui: Univ. Federico II | ||
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