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.
The 1st International Conference on Advanced Intelligent System and Informatics (AISI2015), November 28-30, 2015, Beni Suef, Egypt [[electronic resource] /] / edited by Tarek Gaber, Aboul Ella Hassanien, Nashwa El-Bendary, Nilanjan Dey
| The 1st International Conference on Advanced Intelligent System and Informatics (AISI2015), November 28-30, 2015, Beni Suef, Egypt [[electronic resource] /] / edited by Tarek Gaber, Aboul Ella Hassanien, Nashwa El-Bendary, Nilanjan Dey |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (516 p.) |
| Disciplina | 006.33 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Artificial intelligence
Computational intelligence Artificial Intelligence Computational Intelligence |
| ISBN | 3-319-26690-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intelligent systems and informatics (I) -- Multimedia computing and social networks -- Hybrid Intelligent systems -- Cloud Computing and Big Data Mining. |
| Record Nr. | UNINA-9910254997903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The 3rd international conference on artificial intelligence and computer vision (AICV2023), March 5-7, 2023 / / Aboul Ella Hassanien [and six others], editors
| The 3rd international conference on artificial intelligence and computer vision (AICV2023), March 5-7, 2023 / / Aboul Ella Hassanien [and six others], editors |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (616 pages) |
| Disciplina | 006.3 |
| Collana | Lecture notes on data engineering and communications technologies |
| Soggetto topico |
Artificial intelligence
Computer vision |
| ISBN | 3-031-27762-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Convolutional Sparse Autoencoder for Emotion Recognition -- Lung Cancer Classification Model Using Convolution Neural Network -- An Enhanced Deep learning Approach for Breast Cancer Detection In Histopathology Images -- Reducing Deep Learning Complexity Toward a Fast and Efficient Classification of Traffic Signs -- Reducing Deep Learning Complexity Toward a Fast and Efficient Classification of Traffic Signs -- Skin Cancer Detection Based on Deep Learning Methods -- Predicted Phase Using Deep Neural Networks to Enhance Esophageal Speech -- State of the Art Literature on Anti-Money Laundering using Machine Learning and Deep Learning Techniques -- The Reality of Artificial Intelligence Skills Among Eighth-Grade Students in Public Schools -- A Deep Neural Network Architecture for Extracting Contextual Information -- Feedforward Neural Network in Cancer Treatment Response Prediction -- A Genetic Algorithm Approach Applied to the Cover set Scheduling Problem for Maximizing Wireless Sensor Networks Lifetime -- Application of Machine Learning to Sentiment Analysis -- Robust Vehicle Detection by Using Deep Learning Feature and Support Vector Machine. |
| Record Nr. | UNINA-9910674352503321 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022) [[electronic resource] /] / edited by Aboul Ella Hassanien, Rawya Y. Rizk, Václav Snášel, Rehab F. Abdel-Kader
| The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022) [[electronic resource] /] / edited by Aboul Ella Hassanien, Rawya Y. Rizk, Václav Snášel, Rehab F. Abdel-Kader |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (708 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Computational intelligence
Artificial intelligence Big data Engineering - Data processing Computational Intelligence Artificial Intelligence Big Data Data Engineering |
| ISBN | 3-031-03918-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Honorary Chair -- General Chairs -- Co-chairs -- International Advisory Board -- Publication Chair -- Program Chairs -- Publicity Chairs -- Technical Program Committee -- Local Arrangement Chairs -- Contents -- Deep Learning and Applications -- Plant Leaf Diseases Detection and Identification Using Deep Learning Model -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 4 Experimental Results -- 5 Conclusions -- References -- Reinforcement Learning for Developing an Intelligent Warehouse Environment -- 1 Introduction -- 2 Machine Learning Techniques -- 3 Results and Discussion -- 4 Conclusion and Future Research -- References -- A Low-Cost Multi-sensor Deep Learning System for Pavement Distress Detection and Severity Classification -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Overall System Architecture -- 3.2 Deep Learning Distress Detection -- 3.3 Dataset and Training Information -- 3.4 Projection onto the Depth 3D Point Cloud and ROI Filtering -- 4 Case Study: Pothole Severity Classification -- 5 Experimental Results -- 5.1 Results for the Distress Detection -- 5.2 Results for Pothole Severity Classification -- 6 Conclusion -- References -- An Intrusion Detection Model Based on Deep Learning and Multi-layer Perceptron in the Internet of Things (IoT) Network -- 1 Introduction -- 2 Related Work -- 2.1 Multi Agent Systems for IDS -- 2.2 Fuzzy Systems for IDS -- 2.3 Game Theory Models for IDS -- 3 Architecture of the Proposed Intrusion Detection System -- 3.1 Pre-processing and Feature Engineering -- 3.2 Deep Learning Layer -- 3.3 Evaluation Layer -- 4 The Experimental Results -- 5 Comparison Between Proposed Models and the Others -- 6 Conclusion -- References -- Transfer Learning and Recurrent Neural Networks for Automatic Arabic Sign Language Recognition -- 1 Introduction.
2 Related Work -- 3 Arabic Sign Language Dataset -- 4 Methodology -- 4.1 Prepare the Dataset -- 4.2 Extract the Spatial Features -- 4.3 Extract the Temporal Features -- 4.4 Video Augmentation -- 5 Experimental and Results -- 5.1 Experiment Settings -- 5.2 Models Results -- 6 Conclusion and Future Works -- References -- Robust Face Mask Detection Using Local Binary Pattern and Deep Learning -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 4 Experimental Results -- 5 Conclusion -- References -- Steganography Adaptation Model for Data Security Enhancement in Ad-Hoc Cloud Based V-BOINC Through Deep Learning -- 1 Introduction -- 1.1 Ad-Hoc Cloud Computing -- 1.2 Deep Steganography -- 1.3 Contribution -- 1.4 Paper Organization -- 2 Literature Review -- 3 Proposed Solution -- 4 Experiment -- 5 Discussion and Analysis -- 6 Conclusion -- References -- Performance of Different Deep Learning Models for COVID-19 Detection -- 1 Introduction -- 2 Deep Learning (DL) -- 2.1 The DL-Algorithms Steps in COVID-19 Diagnosis -- 2.2 DL-Models for COVID-19 Detection -- 3 Discussion -- 4 Conclusion -- References -- Deep Learning-Based Apple Leaves Disease Identification Approach with Imbalanced Data -- 1 Introduction -- 2 Basics and Background -- 2.1 Data Imbalance -- 2.2 Convolutional Neural Networks -- 2.3 Transfer Learning -- 3 The Proposed Approach -- 3.1 Dataset Description -- 3.2 Data Preprocessing Phase -- 3.3 Training Phase -- 3.4 Evaluation Phase -- 4 Experimental Results and Analysis -- 4.1 Data Imbalance Problem -- 4.2 Data Augmentation -- 4.3 Setup of the Experiment -- 4.4 Evaluation of the Model -- 5 Conclusion and Future Work -- References -- Commodity Image Retrieval Based on Image and Text Data -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Image and Text Feature Fusion -- 3.2 Target Function -- 4 Experiment -- 4.1 Evaluation Metrics. 4.2 Datasets -- 4.3 Experimental Details -- 4.4 Experimental Results and Analysis -- 5 Conclusion -- References -- Machine Learning Technologies -- Artificial Intelligence Based Solutions to Smart Warehouse Development: A Conceptual Framework -- 1 Introduction -- 2 SWOT Analysis -- 2.1 Strengths -- 2.2 Weaknesses -- 2.3 Opportunities -- 2.4 Threats -- 3 Proposed Solutions and Current Approaches -- 3.1 WO Strategy (Improve): Testbed as a Trial for Investment Decision -- 3.2 WO Strategy (Improve): AI-Powered Solutions -- 3.3 SO Strategy (Attack): AI Resource Development -- 4 Conclusions and Future Research -- References -- Long-Short Term Memory Model with Univariate Input for Forecasting Individual Household Electricity Consumption -- 1 Introduction -- 2 Related Works -- 3 Deep Learning Models for Load Forecasting -- 3.1 LSTM and LSTM-ED Neural Networks -- 3.2 CNN-LSTM Neural Networks -- 3.3 GRU Neural Networks -- 3.4 BiLSTM Neural Networks -- 3.5 ConvLSTM Neural Networks -- 4 Results and Discussion -- 4.1 Dataset Description -- 4.2 Evaluation Metrics -- 4.3 Prediction Results of ConvLSTM -- 4.4 Discussion of the Forecasting Models -- 5 Conclusion and Future Work -- References -- DNA-Binding-Proteins Identification Based on Hybrid Features Extraction from Hidden Markov Model -- 1 Introduction -- 2 Materials and Methods -- 2.1 Datasets -- 2.2 Encoding -- 2.3 Framing -- 2.4 Hybrid Visual HMM Structure -- 2.5 Features Extraction -- 2.6 Classifier -- 3 Results and Discussions -- 4 Conclusions -- References -- Machine Learning Based Mobile Applications for Cardiovascular Diseases (CVDs) -- 1 Introduction -- 2 ML Based m-Health for CVDs -- 3 Characteristics of the Commercially Available CVDs Mobile Applications -- 4 Future Requirements -- 5 Conclusion -- References -- Regression Analysis for Remaining Useful Life Prediction of Aircraft Engines. 1 Introduction -- 2 Related Work -- 3 Aircraft Engine System -- 4 Proposed Model for Predicting the RUL -- 5 Experimental Results and Discussion -- 6 Conclusion and Future Work -- References -- Applying Machine Learning Technology to Perform Automatic Provisioning of the Optical Transport Network -- 1 Introduction -- 2 The Challenges in the Current Model of the Supervision of the OTN -- 3 Proposed Model for the Automatic Provision of the OTN -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- Robo-Nurse Healthcare Complete System Using Artificial Intelligence -- 1 Introduction -- 1.1 Related Work -- 2 Research Method -- 2.1 Software Implementation -- 2.2 Hardware Implementation -- 2.3 External Design Implementation -- 3 Results and Discussions -- 4 Conclusion -- References -- Resolving Context Inconsistency Approach Based on Random Forest Tree -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 IoT Data Collection Phase -- 3.2 Context Inconsistency Validator -- 3.3 Best Resolution Selection -- 3.4 Random Forest Tree -- 4 Experimental Results and Evaluations -- 5 Conclusion and Future Directions -- References -- Arduino Line Follower Using Fuzzy Logic Control -- 1 Introduction -- 2 Methodology -- 2.1 Lab Simulation -- 2.2 The ATmega328p Microcontroller -- 2.3 Voltage Regulator -- 2.4 Circuit Diagram Explanation -- 2.5 Microcontroller-Motor Driver IC Interface -- 2.6 Microcontroller-IR Sensor Module Interface -- 2.7 Microcontroller-Variable Resistor Interface -- 2.8 Arduino IDE Interface with Microcontroller -- 3 Summary of Methodology -- 4 Physical Modeling -- 4.1 Block Diagram -- 4.2 Flow Chart -- 4.3 Working Principle -- 5 Result and Analysis -- 6 Conclusion -- References -- Evaluating Adaptive Facade Performance in Early Building Design Stage: An Integrated Daylighting Simulation and Machine Learning. 1 Introduction -- 2 Related Works -- 3 Building as a Machine and Machine Learning in Architecture -- 4 Adaptive Facade -- 5 Methodology -- 5.1 Data Collection: Available Forms of Kinetic Façade Systems -- 5.2 Data Preparation: Applying System Possibility Scores -- 5.3 Data Exploration and Case Study Setup -- 5.4 Prediction Stage: Applying the KNN Algorithm as a Selective Filter -- 6 Systems Modeling and Simulation -- 7 Results and Discussion -- 8 Conclusion -- References -- LTE Downlink Scheduling with Soft Policy Gradient Learning -- 1 Introduction -- 2 Downlink Resource Allocation in LTE -- 3 Related Work -- 4 DSPG Scheduler: The Proposed Scheduling Algorithm -- 4.1 Problem Statement -- 4.2 Model Design -- 5 Simulation Implementation and Results -- 6 Conclusions -- References -- Predicting the Road Accidents Severity Using Artificial Neural Network -- 1 Introduction -- 2 Literature Review -- 3 Dataset -- 4 The Proposed Methodology -- 5 Results and Discussions -- 5.1 Attributes vs Accident Severity -- 5.2 Accident Severity Prediction Results -- 6 Conclusion -- References -- Predicting the Intention to Use Audi and Video Teaching Styles: An Empirical Study with PLS-SEM and Machine Learning Models -- 1 Introduction -- 2 Theoretical Framework -- 2.1 Technology Acceptance Model (TAM) -- 2.2 Flow Theory -- 2.3 Virtual Reality Attributes -- 3 Research Methodology -- 3.1 Data Collection -- 3.2 Personal/Demographic Information -- 3.3 Study Instrument -- 3.4 Survey Structure -- 4 Findings and Discussion -- 4.1 Data Analysis -- 4.2 Convergent Validity -- 4.3 Discriminant Validity -- 4.4 Hypotheses Testing Using PLS-SEM -- 4.5 Hypothesis Testing Using Machine Learning Algorithms -- 5 Discussion of Results -- References -- Intellgenet Systems and Applications. Immunity of Signals Transmission Using Secured Unequal Error Protection Scheme with Various Packet Format. |
| Record Nr. | UNINA-9910561300503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Computational Intelligence Techniques for Virtual Reality in Healthcare [[electronic resource] /] / edited by Deepak Gupta, Aboul Ella Hassanien, Ashish Khanna
| Advanced Computational Intelligence Techniques for Virtual Reality in Healthcare [[electronic resource] /] / edited by Deepak Gupta, Aboul Ella Hassanien, Ashish Khanna |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (241 pages) |
| Disciplina | 006.3 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Virtual reality in medicine |
| ISBN | 3-030-35252-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | World of Virtual Reality (VR) in Healthcare -- Towards a VIREAL Platform: Virtual Reality in Cognitive and Behavioural Training for Autistic Individuals -- Assisting Students To Understand Mathematical Graphs Using Virtual Reality Application -- Short Time Frequency Analysis of Theta Activity for the Diagnosis of Bruxism on EEG Sleep Record -- Hand Gesture Recognition for Human Computer Interaction and its Applications in Virtual Reality -- Fluid Dynamics in Healthcare Industries: Computational Intelligence Prospective -- A Novel Approach Towards using Big Data and IoT for Improving the Efficiency of m-Health Systems -- Using Artificial Intelligence to Bring Accurate Real-Time Simulation To Virtual Reality -- Application Of Chicken Swarm Optimization In Detection of Cancer and Virtual Reality -- Computational Fluid Dynamics Simulations with Applications in Virtual Reality Aided Health Care Diagnostics -- Data Analysis and Classification of Cardiovascular Disease and Risk Factors Associated With it in India. |
| Record Nr. | UNINA-9910483983103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Machine Learning Technologies and Applications [[electronic resource] ] : Proceedings of AMLTA 2020 / / edited by Aboul Ella Hassanien, Roheet Bhatnagar, Ashraf Darwish
| Advanced Machine Learning Technologies and Applications [[electronic resource] ] : Proceedings of AMLTA 2020 / / edited by Aboul Ella Hassanien, Roheet Bhatnagar, Ashraf Darwish |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (xxi, 757 pages) : illustrations |
| Disciplina | 006.31 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Artificial intelligence Big data Computational Intelligence Artificial Intelligence Big Data |
| ISBN | 981-15-3383-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Segregating and Recognizing Human Actions from Video Footages using LRCN Technique -- Fall Alert: A Novel Approach to Detect Fall -- Evaluation of Automatic Text Visualization Systems: A Case Study -- Face Recognition Based Attendance System using Real Time Computer Vision Algorithms -- The Impact of Knowledge Management Adoption on the Government Sector’s Performance: The Case of Bahrain -- Video Surveillance for the Crime Detection using Features -- Real-time Neural-net Driven Optimized Inverse-kinematics for a Robotic Manipulator -- A Deep Learning Technique to Countermeasure Video Based Presentation Attacks -- Optimization of Loss Functions for Predictive Soil Mapping -- Natural Language Information Extraction through Non Factoid Question and Answering System -- An Enhanced Differential Evolution Algorithm with New Environmental-based Parameters for Solving Optimization Problems -- Reactive Power Optimization Approach based on Chaotic Particle Swarm Optimization -- Data Mining Model for Better Admissions in Higher Educational Institutions (HEIs) – A Case Study of Bahrain -- The Effectiveness of Renewable Energies Projects in Kuwait - PAAET Solar Energy Project -- Skin Lesion Analyser: An Efficient Seven-Way Multi-Class Skin Cancer Classification Using Mobile Net -- Real-Time Object Detection in Remote Sensing Images using Deep Learning -- Malaria Detection using Convolutional Neural Network -- Drone-Based Face Recognition using Deep Learning -- Traffic Sign Recognition for Self-Driving Cars with Deep Learning -- Identifying the Association Rule to Determine the Possibilities of Cardio Vascular Diseases(CVD) -- Prediction of Service Level Agreement Violation in Cloud Computing using Bayesian Regularization -- A New Methodology for Language Identification in Social Media Code-mixed Text -- Detecting Influencers in Social Networks Through Machine Learning Techniques -- Application and Analysis of K-Means Algorithms on a Decision Support Framework for Municipal Solid Waste Management -- Android Rogue Application Detection using Image Resemblance and Reduced LDA -- An Indexed Non-Probability Skyline Query Processing Framework for Uncertain Data -- Analysis of Operational Control Mode of Intelligent Distribution Grids with Multi-microgrid -- Technical Present Situation based on Micro Grid Operation Control -- Skin Lesion Classification: A Transfer Learning Approach Using Efficient Nets -- Change Footprint Pattern Analysis of Crime Hotspot of Indian Districts -- Itemset Mining based Episode Profiling of Terrorist Attacks using Weighted Ontology -- Enabling Technologies in Banking Industry, Regulatory Technology RegTech and Money Laundering Prevention -- A Cognitive Knowledge Base for Learning Disabilities using Concept Analysis -- Native Monkey Detection using Deep Convolution Neural Network -- Evaluation and Summarization of Student Feedbacks Using Sentiment Analysis -- Predicting Competitive Weight Lifting Performance using Regression and Tree-based Algorithms -- Predicting the Primary Dominant Personality Trait of Perceived Leaders by Mapping Linguistic Cues from Social Media Data onto the Big-Five Model -- Analysis of Users behaviour on Micro Blogging Site using a Topic -- Machine Learning Techniques for Short Term Forecasting of Wind Power Generation -- Integrated Process Management System of Smart Substation Secondary Side based on Practical Scheme -- Research on Forms and Strategies of Alternative Energy Achieved -- Lightweight Access Control Algorithm for Internet of Things -- Named Entity Recognition for Legal Documents -- Visual Speech Processing and Recognition -- Predictive Analytics for Cardiovascular Disease Diagnosis using Machine Learning Techniques -- A Novel Approach for Smart Health Care Recommender System -- Heart Disorder Prognosis employing KNN, ANN, ID3 and SVM -- IoT based Home Security System with Wireless Communication -- Implementation of Internet of Things IoT in Small Business Industry: Case of Bahrain -- A Comparative Study of Model-Free Reinforcement Learning Approaches -- Location Aware Security System for Smart Cities using IoT -- An Assessment Study of Gait Biometric Recognition using Machine Learning -- A Study on Risk Management Practices in Online Banking in Bahrain -- Deep Learning Techniques: An Overview -- A Multilayer Deep Learning Framework For Auto-Content Tagging -- Case Based Reasoning (CBR) based Anemia Severity Detection System (ASDS) Using Machine Learning Algorithm -- ECG Signal Analysis, Diagnosis and Transmission -- The Effect of Real-Time Feedback on Consumer’s Behaviour in the Energy Management Sector: Empirical study -- Synchronization Control in Fractional Discrete-Time Systems with Chaotic Hidden Attractors -- Employment of Cryptographic Modus Operandi based on Trigonometric Algorithm and Resistor Color Code -- Experimental & Dimensional Analysis Approach for Human Energy Required In Wood Chipping Process -- Impact of High-k gate dielectric and Workfunctions Variation on Electrical Characteristics of VeSFET -- Correlating Personality Traits to Different Aspects of Facebook Usage -- Fractional Order control of a Fuel Cell-boost Converter System -- Battery Pack Construction Scheme based on UPS System Reliability -- Study on Land Compensation for High Voltage Transmission Lines in Power Grid based on Easement -- Study on the Terrain of Power Network Construction Expropriation and Legal Risk Prevention. |
| Record Nr. | UNINA-9910484669603321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced machine learning technologies and applications : proceedings of AMLTA 2021 / / edited by Aboul-Ella Hassanien, Kuo-Chi Chang, Tang Mincong
| Advanced machine learning technologies and applications : proceedings of AMLTA 2021 / / edited by Aboul-Ella Hassanien, Kuo-Chi Chang, Tang Mincong |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (1,144 pages) : illustrations |
| Disciplina | 006.31 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Machine learning
Aprenentatge automàtic COVID-19 Intel·ligència artificial en medicina |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-69717-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910484064003321 |
| Gateway East, Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Machine Learning Technologies and Applications [[electronic resource] ] : Second International Conference, AMLTA 2014, Cairo, Egypt, November 28-30, 2014. Proceedings / / edited by Aboul Ella Hassanien, Mohamed Tolba, Ahmad Taher Azar
| Advanced Machine Learning Technologies and Applications [[electronic resource] ] : Second International Conference, AMLTA 2014, Cairo, Egypt, November 28-30, 2014. Proceedings / / edited by Aboul Ella Hassanien, Mohamed Tolba, Ahmad Taher Azar |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XVI, 542 p. 198 illus.) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Data mining Application software Pattern recognition Information storage and retrieval Natural language processing (Computer science) Artificial Intelligence Data Mining and Knowledge Discovery Information Systems Applications (incl. Internet) Pattern Recognition Information Storage and Retrieval Natural Language Processing (NLP) |
| ISBN | 3-319-13461-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine learning in Arabic text recognition and assistive technology -- Recommendation systems for cloud services.- Machine learning in watermarking/authentication and virtual machines -- Features extraction and classification -- Rough/fuzzy sets and applications -- Fuzzy multi-criteria decision making -- Web-based application and case-based reasoning construction -- Social networks and big data sets. |
| Record Nr. | UNINA-9910298968903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in data science and intelligent data communication technologies for COVID-19 : innovative solutions against COVID-19 / / Aboul Ella Hassanien, Sally M. Elghamrawy and Ivan Zelinka (editors)
| Advances in data science and intelligent data communication technologies for COVID-19 : innovative solutions against COVID-19 / / Aboul Ella Hassanien, Sally M. Elghamrawy and Ivan Zelinka (editors) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (311 pages) |
| Disciplina | 614.592414 |
| Collana | Studies in Systems, Decision and Control |
| Soggetto topico |
Engineering - Data processing
Computational intelligence Big data |
| ISBN | 3-030-77302-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910522988503321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Security of Information and Communication Networks [[electronic resource] ] : First International Conference, SecNet 2013, Cairo, Egypt, September 3-5, 2013. Proceedings / / edited by Ali Ismail Awad, Aboul Ella Hassanien, Kensuke Baba
| Advances in Security of Information and Communication Networks [[electronic resource] ] : First International Conference, SecNet 2013, Cairo, Egypt, September 3-5, 2013. Proceedings / / edited by Ali Ismail Awad, Aboul Ella Hassanien, Kensuke Baba |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XII, 249 p. 104 illus.) |
| Disciplina | 005.8 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer security
Computer communication systems Data mining Systems and Data Security Computer Communication Networks Data Mining and Knowledge Discovery |
| ISBN | 3-642-40597-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Networking security -- Data and information security -- Authentication and privacy -- Security applications. |
| Record Nr. | UNINA-9910437567603321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Soft Computing and Machine Learning in Image Processing [[electronic resource] /] / edited by Aboul Ella Hassanien, Diego Alberto Oliva
| Advances in Soft Computing and Machine Learning in Image Processing [[electronic resource] /] / edited by Aboul Ella Hassanien, Diego Alberto Oliva |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XII, 718 p. 309 illus., 195 illus. in color.) |
| Disciplina | 006.32 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Signal processing Image processing Speech processing systems Computational Intelligence Artificial Intelligence Signal, Image and Speech Processing |
| ISBN | 3-319-63754-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Color Spaces Advantages and Disadvantages in Image Color Clustering Segmentation -- Multi-objective Whale Optimization Algorithm for Multi-level Thresholding Segmentation -- Evaluating Swarm Optimization Algorithms for Segmentation of Liver Images -- Thermal Image Segmentation Using Evolutionary Computation Techniques -- News Videos Segmentation Using Dominant Colors Representation. |
| Record Nr. | UNINA-9910299875603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
