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International Conference on Innovative Computing and Communications : Proceedings of ICICC 2023, Volume 3 / / edited by Aboul Ella Hassanien, Oscar Castillo, Sameer Anand, Ajay Jaiswal
| International Conference on Innovative Computing and Communications : Proceedings of ICICC 2023, Volume 3 / / edited by Aboul Ella Hassanien, Oscar Castillo, Sameer Anand, Ajay Jaiswal |
| Autore | Hassanien Aboul Ella |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (768 pages) |
| Disciplina | 004 |
| Altri autori (Persone) |
CastilloOscar
AnandSameer JaiswalAjay |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Telecommunication
Internet of things Machine learning Artificial intelligence Communications Engineering, Networks Internet of Things Machine Learning Artificial Intelligence |
| ISBN | 981-9930-10-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Joint Identification and Clustering using Deep Learning Techniques -- Chapter 2. Comparative Analysis of deep learning with different optimization techniques for Type 2 Diabetes Mellitus detection using Gene expression Data -- Chapter 3. Differential Analysis of MOOC Models for Increasing Retention and Evaluation of the Performance of Proposed Model -- Chapter 4. Deep Convolutıonal Neural Networks Network with Transfer Learning for Image-Based Malware Analysis -- Chapter 5. Analysis of Network Failure Detection using Machine Learning in 5G Core Networks -- Chapter 6. MVR Delay:Establıshıng Self – Organızıng Vırtual Backhaul for Trusty, Relıable and Tımely Emergency Message Dıssemınatıon in VANET -- Chapter 7. Machine Learning Algorithms for Prediction of Mobile Phone Prices -- Chapter 8. Customized CNN for Traffic Sign Recognition Using Keras pre-trained models -- Chapter 9. Underwater Image Enhancement and Restoration Using Cycle GAN -- Chapter 10. Implementation of Machine Learning Techniques in Breast Cancer Detection -- Chapter 11. Performance and Analysis of Propagation Delay in the Bitcoin Network -- Chapter 12. Machine Learning Analysis on Predicting Credit Card Forgery -- Chapter 13. GanCOV: A Deep Learning & GAN based algorithm to Detect COVID-19 through Lung X-Ray Scans -- Chapter 14. Text-to-Image Synthesis using BERT Embeddings and Multi-Stage GAN -- Chapter 15. Application of Convoluted Brainwaves for Efficient Identification of Eating Disorder. etc. |
| Record Nr. | UNINA-9910736001903321 |
Hassanien Aboul Ella
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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International Conference on Innovative Computing and Communications : Proceedings of ICICC 2021, Volume 1
| International Conference on Innovative Computing and Communications : Proceedings of ICICC 2021, Volume 1 |
| Autore | Khanna Ashish |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2021 |
| Descrizione fisica | 1 online resource (871 pages) |
| Altri autori (Persone) |
GuptaDeepak
BhattacharyyaSiddhartha HassanienAboul Ella AnandSameer JaiswalAjay |
| Collana | Advances in Intelligent Systems and Computing Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-16-2594-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | International Conference on Innovative Computing and Communications |
| Record Nr. | UNINA-9910497101403321 |
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Khanna Ashish
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| Singapore : , : Springer Singapore Pte. Limited, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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International Conference on Innovative Computing and Communications : Proceedings of ICICC 2021, Volume 3
| International Conference on Innovative Computing and Communications : Proceedings of ICICC 2021, Volume 3 |
| Autore | Khanna Ashish |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2021 |
| Descrizione fisica | 1 online resource (889 pages) |
| Altri autori (Persone) |
GuptaDeepak
BhattacharyyaSiddhartha HassanienAboul Ella AnandSameer JaiswalAjay |
| Collana | Advances in Intelligent Systems and Computing Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-16-3071-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910497093303321 |
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Khanna Ashish
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| Singapore : , : Springer Singapore Pte. Limited, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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International Conference on Innovative Computing and Communications : Proceedings of ICICC 2021, Volume 2
| International Conference on Innovative Computing and Communications : Proceedings of ICICC 2021, Volume 2 |
| Autore | Khanna Ashish |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2021 |
| Descrizione fisica | 1 online resource (812 pages) |
| Altri autori (Persone) |
GuptaDeepak
BhattacharyyaSiddhartha HassanienAboul Ella AnandSameer JaiswalAjay |
| Collana | Advances in Intelligent Systems and Computing Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-16-2597-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910497093403321 |
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Khanna Ashish
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| Singapore : , : Springer Singapore Pte. Limited, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Medical Informatics and Bioimaging Using Artificial Intelligence : Challenges, Issues, Innovations and Recent Developments
| Medical Informatics and Bioimaging Using Artificial Intelligence : Challenges, Issues, Innovations and Recent Developments |
| Autore | Hassanien Aboul Ella |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2022 |
| Descrizione fisica | 1 online resource (256 pages) |
| Altri autori (Persone) |
BhatnagarRoheet
SnáselVáclav Yasin ShamsMahmoud |
| Collana | Studies in Computational Intelligence Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN |
9783030911034
9783030911027 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Machine Learning and Deep Learning Applications in Medical Diagnosis -- A Deep Learning Based Cockroach Swarm Optimization Approach for Segmenting Brain MRI Images -- 1 Introduction -- 2 Preliminaries -- 2.1 Cockroach Swarm Optimization -- 2.2 Deep Learning -- 3 The Proposed Approach -- 4 Experimental Results and Discussion -- 5 Conclusion and Future Directions -- References -- Efficient Classification Model for Melanoma Based on Convolutional Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Imbalanced Data Handling -- 3.2 Deep Learning Approach -- 4 The Proposed Melanoma Classification Model -- 4.1 Description of Dataset -- 4.2 Data Preprocessing -- 4.3 Data Preprocessing -- 5 Experimental Results -- 6 Conclusion -- References -- Machine Learning-Supported MRI Analysis of Brain Asymmetry for Early Diagnosis of Dementia -- 1 Introduction -- 2 Literature Review -- 2.1 Brain Asymmetry for the Diagnosis of Brain-Related Disorders -- 2.2 Classification of Alzheimer's Disease and Early Mild Cognitive Impairment Using the ADNI Database -- 3 The Proposed Approach -- 3.1 Image Preprocessing and Segmentation of Image Asymmetry -- 3.2 Feature Engineering and Analysis -- 4 Experiments and Results -- 5 Discussion and Conclusion -- References -- Feature Selection Based Coral Reefs Optimization for Breast Cancer Classification -- 1 Introduction -- 2 Related Work -- 3 Methods and Materials -- 3.1 The CRO Algorithm (Coral Reef Optimization) -- 3.2 CRO as a Feature Selection Technique -- 3.3 Utilized Classification Algorithms -- 3.4 Proposed Method -- 4 Results and Discussion -- 4.1 Dataset Description -- 4.2 Experiments and Results -- 4.3 Statistical Results Analysis -- 5 Conclusion and Future Work -- References.
A Comprehensive Review on Brain Disease Mapping-The Underlying Technologies and AI Based Techniques for Feature Extraction and Classification Using EEG Signals -- 1 Introduction -- 2 Raw EEG Signals -- 3 Signal Processing -- 4 Feature Extraction Method -- 5 Classification -- 6 Case Studies Consolidation and Their Analysis -- 7 Conclusion -- References -- Recognition of Ocular Disease Based Optimized VGG-Net Models -- 1 Introduction -- 2 Related Work -- 3 Methodologies -- 3.1 The Proposed Model -- 3.2 Ocular Disease Recognition Dataset -- 3.3 DCNN Classification Models -- 4 Experimental Results and Discussion -- 4.1 Performance Evaluation -- 4.2 Confusion Matrix -- 5 Conclusion -- References -- Artificial Intelligence in COVID-19 Diagnosis -- Applications of AI and IoT in COVID-19 Vaccine and Its Impact on Social Life -- 1 Introduction -- 2 Applications of AI and IoT in COVID-19 -- 2.1 Diagnosis of COVID-19 -- 2.2 Drug and Vaccine Development -- 2.3 Distribution of COVID-19 Vaccine Using AI -- 2.4 Monitoring Vaccine Temperate Using IoT -- 2.5 Management of Vaccine (Co-WIN) -- 2.6 Application of AI in Predicting COVID-19 Outcome -- 2.7 Sentiment Analysis and Fake News Detection Regarding Covid-19 -- 3 Impact of COVID-19 Vaccine on Social Life -- 4 The Plans of Government and Hospitals to Reduce the Impact of Corona Especially in Saudi Arabia -- 5 Acceptance and Demand for COVID-19 Vaccines -- 6 Conclusion -- References -- COVID-19 Forecasting Based on an Improved Interior Search Algorithm and Multilayer Feed-Forward Neural Network -- 1 Introduction -- 2 Preliminaries -- 2.1 Multilayer Feed-Forward Neural Network -- 2.2 Interior Search Algorithm -- 2.3 The Motivation of This Work -- 3 Proposed ISACL Algorithm -- 3.1 Composition-Based Experience Strategy -- 3.2 Chaotic Learning Based-Local Searching Mechanism -- 3.3 Framework of ISACL. 4 Experiment and Results -- 4.1 Description of the COVID-19 Dataset -- 4.2 Parameter Settings -- 4.3 Indices for Performance Assessment -- 4.4 Results and Discussions -- 5 Conclusions -- References -- Development of Disease Diagnosis Model for CXR Images and Reports-A Deep Learning Approach -- 1 Introduction -- 2 Background Study -- 2.1 CXR Images and Radiology Reports -- 2.2 Convolutional Neural Networks (CNNs) -- 2.3 Pre-trained Convolutional Neural Networks (CNNs) -- 2.4 Radiology Report -- 2.5 Natural Language Processing in Producing the Radiology Report -- 3 Literature Review -- 4 Methodology -- 4.1 Dataset Description -- 4.2 Exploratory Data Analysis -- 4.3 Building Models -- 5 Model Evaluation and Results Analysis -- 6 Conclusion -- References -- Intelligent Drug Descriptors Analysis: Toward COVID-19 Drug Repurposing -- 1 Introduction -- 2 Discussion -- 2.1 Physicochemical Properties and Descriptors -- 2.2 Drug Approved Analysis -- 3 Theoretical Background of Support Vector Machine (SVM) -- 4 Intelligent Drugs Descriptors Analysis Approach -- 4.1 Preprocessing Phase -- 4.2 Support Vector Regression Phase -- 4.3 Kernel Selection -- 4.4 Descriptors Analysis -- 5 Results and Discussion -- 6 Conclusion and Future Work -- 7 Appendix -- References -- Emerging Technologies and Applications -- Analysis of Aortic Valve Using a Finite Element Model -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 3.1 Aortic Root and Leaflet Deformation -- 3.2 Von-Mises Stress in the Leaflets -- 4 Conclusion and Future Work -- References -- Fundus Images Enhancement Using Gravitational Force and Lateral Inhibition Network for Blood Vessel Detection -- 1 Introduction -- 2 Material and Methods -- 2.1 Description of Dataset -- 2.2 Background of Model -- 3 GF and LIN Pattern to Improve the Image Contrast of a Vessel Image. 4 Metrics for Evaluating the Improved Image -- 5 Results and Discussion -- 6 Conclusion -- References -- Multivariate Fuzzy Logic Based Smart Healthcare Monitoring for Risk Evaluation of Cardiac Patients -- 1 Introduction -- 2 Related Work -- 3 General Layout of Fuzzy Logic Theory -- 4 Proposed Fuzzy-Based Cardiac Patient Monitoring Model -- 4.1 Simulation Environment Setting -- 5 Simulation Results and Analysis -- 6 Conclusions -- References -- Ensemble Machine Learning Model for Mortality Prediction Inside Intensive Care Unit -- 1 Introduction -- 2 Related Work -- 2.1 Scoring System -- 2.2 Machine Learning Systems -- 3 Data Set -- 3.1 Dataset Description -- 3.2 Table Selection -- 4 Proposed Framework -- 4.1 Data Preprocessing -- 5 Resuls and Discussion -- 5.1 Single Classifier Results -- 5.2 Ensemble Classifier Results -- 6 Conclusion and Future Work -- References. |
| Record Nr. | UNINA-9910513579703321 |
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Hassanien Aboul Ella
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| Cham : , : Springer International Publishing AG, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of Fifth Doctoral Symposium on Computational Intelligence : DoSCI 2024, Volume 3
| Proceedings of Fifth Doctoral Symposium on Computational Intelligence : DoSCI 2024, Volume 3 |
| Autore | Swaroop Abhishek |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (599 pages) |
| Altri autori (Persone) |
KansalVineet
FortinoGiancarlo HassanienAboul Ella |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 981-9760-36-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910896189703321 |
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Swaroop Abhishek
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| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of Fifth Doctoral Symposium on Computational Intelligence : DoSCI 2024, Volume 4
| Proceedings of Fifth Doctoral Symposium on Computational Intelligence : DoSCI 2024, Volume 4 |
| Autore | Swaroop Abhishek |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (613 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
KansalVineet
FortinoGiancarlo HassanienAboul Ella |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 981-9767-26-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- DoSCI-2024 Steering Committee Members -- Preface -- Contents -- Editors and Contributors -- A Comprehensive Examination of Machine Learning Models in Predicting 16 Personality Traits -- 1 Introduction -- 2 Literature Review -- 3 Dataset -- 4 Implementation -- 5 Result and Discussion -- 6 Conclusion -- References -- A Historical Analysis of Chatbots from Eliza to Google Bard -- 1 Introduction -- 2 History -- 2.1 Early Chatbots (1960-2001) -- 2.2 Late Chatbots (2000-2010) -- 2.3 Modern Chatbots (2020-Present) -- 3 Chatbot Approaches -- 3.1 Rule-Based -- 3.2 Retrieval-Based -- 3.3 Generative-Based Approach -- 3.4 Hybrid-Based Approach -- 4 Large Language Model in ChatGPT and Google Bard -- 4.1 ChatGPT with GPT-3.5 -- 4.2 Google Bard with LaMDA -- 5 Chatbots Programming Languages and Summary of Chatbot Journey -- 6 Conclusion -- References -- A Cutting-Edge Approach to Forest Fire Region Identification Through Deep Learning -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Proposed Approach -- 3.2 Image Pre-processing -- 4 Feature Extraction -- 4.1 Convolutional Neural Network -- 5 Image Classification -- 5.1 Visual Geometry Group-19 or VGG-19 -- 6 Object Detection -- 6.1 You Only Look Once (YOLOv6) -- 7 Spatial Feature Extraction -- 8 Temporal Feature Extraction -- 9 Discussion -- 9.1 Dataset Description -- 10 Results -- 11 Conclusion -- 12 Future Scope -- References -- Brain Tumor MRI Segmentation Using Deep Instance Segmentation with Bioinspired Optimization Algorithm -- 1 Introduction -- 2 Related Works -- 3 Proposed Model -- 4 Results and Discussion -- 5 Conclusion -- References -- Cloud-Based Tool for Node.js Project Generation Using Abstract Syntax Trees -- 1 Introduction -- 2 Basic Concepts and Related Work -- 2.1 Abstract Syntax Trees -- 2.2 Webpack -- 2.3 Babel -- 2.4 Related Research -- 3 Architecture and Design.
3.1 Component Identification -- 3.2 System Interaction -- 3.3 DSG Service -- 3.4 Cloud Provider -- 4 Enhancements -- 4.1 Advanced AST Manipulation -- 4.2 AST Analysis and Manipulation -- 4.3 AST Optimization -- 5 Results -- 6 Limitations -- 7 Conclusion -- References -- Complex Network Traffic Prediction Method Under Graph Neural Network -- 1 Introduction -- 2 Dataset -- 3 Graph Neural Network -- 4 Experiment and Results -- 5 Conclusions -- References -- Enhanced Holistically Nested Edge Detection (eHED) Algorithm: A Reliable Edge Detection in Unconstrained Scenarios -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Multi-stream Architecture -- 3.2 Skip-Layer Network Architecture -- 3.3 Multiple Scale Input into a Single Model -- 3.4 Training Distinct Networks Independently -- 3.5 Enhanced Holistically Nested Edge Detection (eHED) -- 4 Formulation -- 5 Experimental Results -- 5.1 Dataset -- 5.2 Histogram of Oriented Gradients -- 5.3 Contour Algorithm -- 5.4 Canny -- 5.5 EHED -- 5.6 Comparison with Canny and eHED -- 6 Conclusion -- 7 Future Research -- References -- Toward Effective Suggestion Mining in Game Reviews: Introducing an Aspect-Based Multiclass Multilevel Dataset -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 3.1 Background -- 3.2 Annotation Scheme -- 3.3 Expert Annotation -- 3.4 Characteristics of Dataset -- 4 Experimental Setup -- 4.1 TCN -- 4.2 LSTM -- 4.3 DRC_Net -- 4.4 GPT-3 -- 4.5 TCN with Machine Learning -- 5 Results -- 5.1 Suggestion Extraction (Superclass) -- 5.2 Evaluation of Sentiments -- 5.3 Evaluation of Subclass -- 5.4 Evaluation of Receiver and Suggestion Type -- 5.5 Evaluation of Aspects -- 6 Conclusion -- References -- Server-Enabled Information Transmission Through Networks Using Federated Learning Approach -- 1 Introduction -- 1.1 Applications of Federated Learning. 2 Federated Learning in Healthcare -- 3 Literature Review -- 4 Proposed Model -- 5 Result Analysis -- 6 Conclusion -- References -- Object Detection for Efficient Lighting: Comparing Models -- 1 Introduction -- 2 Related Works -- 3 System Architecture -- 4 Devices and Methods -- 4.1 Hardware -- 4.2 Software -- 4.3 Methodology -- 5 Analysis -- 5.1 YOLOv5 -- 5.2 Faster RCNN -- 5.3 SSD (Single-Shot Multi-Box Detector) -- 6 Discussion -- 7 Conclusion -- References -- Intelligent Adaptive Control Algorithm Based on Reinforcement Learning in the Field of Robotics -- 1 Background -- 2 Intelligent Adaptive Control Algorithm -- 3 Design of Intelligent Adaptive Control Algorithm in the Field of Robotics -- 3.1 Principles of Adaptive Control -- 3.2 Adaptive Control in Reinforcement Learning -- 4 Experimental Results of Response Time -- 5 Stability Test Results -- 6 Tracking Error Experimental Results -- 7 Conclusions -- References -- Multi-factor Authentication and Data Integrity for WBAN Using Hash-Based Techniques -- 1 Introduction -- 1.1 Motivation -- 1.2 The Main Contributions of the Research Work Are -- 1.3 Structure of the Article -- 2 Extensive Literature Survey -- 3 Research Gaps -- 4 Proposed Hypothesis -- 5 Proposed Methodology -- 5.1 WBAN Creation -- 5.2 Analysis and Update -- 5.3 Prediction and Diagnosis -- 6 Results and Discussion -- 6.1 Formal Security Analysis Using BAN Logic -- 6.2 Other Informal Security Analysis Over -- 6.3 Limitation of the Proposed Work -- 7 Expected Contribution to the Literature -- 8 Conclusion -- References -- Monitoring and Evaluating ECU Communication Data for Vulnerabilities Detection -- 1 Introduction -- 2 Related Works -- 3 Proposed Model -- 3.1 Data Collection -- 3.2 Data Preprocessing -- 3.3 Anomaly Detection and Result Discussion -- 3.4 Evaluation -- 4 Conclusion -- References. Animal Species Classification Using Deep Learning -- 1 Introduction -- 1.1 Need of the Model -- 2 Literature Survey -- 3 Methodology and Working -- 3.1 About the Dataset -- 3.2 Preprocessing of Data -- 3.3 (CNN)_ -- 3.4 EffecientNetB3 -- 3.5 Working of the Model -- 4 Result -- 4.1 Confusion Matrix -- 4.2 Accuracy -- 4.3 Precision -- 4.4 Recall -- 4.5 F1-Score -- 5 Conclusion -- 5.1 Model Applied to Input User Image -- 5.2 Implementation of the Model -- 5.3 Outcome -- 6 Recommendation for Future -- 6.1 Application in Veterinary -- 6.2 Zoological Parks -- 6.3 Sanctuaries -- 6.4 Roads Near Forests -- 6.5 Villages in National Parks -- References -- Comparative Analysis of Machine Learning and Deep Learning Classifiers for Crack Classification -- 1 Introduction -- 1.1 Motivation -- 1.2 Our Contribution -- 2 Methodology -- 2.1 Data Collection -- 2.2 Data Augmentation -- 2.3 Classification Models -- 2.4 Testing and Evaluation -- 3 Results -- 3.1 Performance Evaluation of ML Classifiers -- 3.2 Performance Evaluation of Pre-trained Deep Learning Classifiers -- 3.3 Performance Comparison with Existing Similar Models -- 4 Discussion -- 5 Conclusion -- References -- Design of Computer Network Security Defense System Based on Big Data -- 1 Introduction -- 2 Methods of CN SD System Design -- 2.1 Network Data Collection and Storage -- 2.2 Data Preprocessing and Feature Engineering -- 2.3 LSTM Model Construction -- 2.4 Real-Time Data Stream Processing -- 3 CN SD Performance Evaluation -- 3.1 Experimental Environment -- 3.2 Evaluation Indicators -- 4 Results -- 4.1 Threat Detection Accuracy Performance -- 4.2 Real-Time Results -- 5 Conclusions -- References -- Validation of Object-Oriented Metrics Against Standard Properties -- 1 Introduction -- 2 Literature Review -- 3 Proposed Object-oriented Metric Set for Reusability Assessment -- 3.1 Inherited Class Count (ICC). 3.2 Inherited Attribute Count (IAC) -- 3.3 Inherited Method Count (IMC) -- 3.4 Depth of Inheritance Hierarchy (DIH) -- 3.5 Degree of Reusability (DOR) Metric -- 4 Object-Oriented Metric Set Validation -- 4.1 Theoretical Validation -- 4.2 Through Measurement Theory -- 4.3 Through Kaner's Framework -- 5 Result and Discussion -- 6 Conclusion and Future Scope -- References -- A Personalized Health-Care Framework for Health-Care Service -- 1 Introduction -- 2 Machine Intelligence and Personalized Health Care -- 3 Computational Approach for Personalized Spine Care -- 4 Implementation Results -- 5 Conclusion -- References -- Comparative Analysis of Machine-Learning and Deep Learning Algorithms Using Manta Ray Foraging Optimization for the Detection of Hate Speech -- 1 Introduction -- 2 Literature Review -- 3 Dataset Description -- 4 Methodology -- 4.1 Data Collection and Preprocessing -- 4.2 Feature Extraction and Representation -- 4.3 ML Models Used -- 4.4 Manta Ray Foraging Optimization -- 5 Results and Discussion -- 6 Conclusion and Future Work -- References -- Bangladeshi Currency Authentication Checking System Using Convolutional Neural Networks -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Preparation -- 3.3 Model Development -- 4 Results and Discussion -- 4.1 Result -- 4.2 Discussion -- 5 Conclusion -- References -- CLASH: A Contrastive Learning Approach for Few-Shot Classification of Histopathological Images -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Architecture -- 4 Experimental Results -- 4.1 Experiment Setup -- 4.2 Evaluation Metrics -- 4.3 Experiment Data -- 4.4 Performance Evaluation with Histopathology Dataset -- 4.5 Limitation of the Proposed Work -- 5 Conclusion -- References -- Data-Driven Air Quality Prediction with Batch Normalization in Long Short-Term Memory Networks. 1 Introduction. |
| Record Nr. | UNINA-9910903790603321 |
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Swaroop Abhishek
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| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of Second Doctoral Symposium on Computational Intelligence : DoSCI 2021
| Proceedings of Second Doctoral Symposium on Computational Intelligence : DoSCI 2021 |
| Autore | Gupta Deepak |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2021 |
| Descrizione fisica | 1 online resource (902 pages) |
| Altri autori (Persone) |
KhannaAshish
KansalVineet FortinoGiancarlo HassanienAboul Ella |
| Collana | Advances in Intelligent Systems and Computing Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-16-3346-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Proceedings of Second Doctoral Symposium on Computational Intelligence |
| Record Nr. | UNINA-9910502975803321 |
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Gupta Deepak
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| Singapore : , : Springer Singapore Pte. Limited, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the 10th International Conference on Advanced Intelligent Systems and Informatics 2024 : Volume 2
| Proceedings of the 10th International Conference on Advanced Intelligent Systems and Informatics 2024 : Volume 2 |
| Autore | Hassanien Aboul Ella |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (403 pages) |
| Altri autori (Persone) |
DarwishAshraf
F. TolbaMohammed SnaselVaclav |
| Collana | Lecture Notes on Data Engineering and Communications Technologies Series |
| ISBN | 3-031-71619-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910896534003321 |
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Hassanien Aboul Ella
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| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2021
| Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2021 |
| Autore | Hassanien Aboul Ella |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
| Descrizione fisica | 1 online resource (412 pages) |
| Altri autori (Persone) |
SnáselVáclav
ChangKuo-Chi DarwishAshraf GaberTarek |
| Collana | Lecture Notes on Data Engineering and Communications Technologies Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN |
9783030897017
9783030897000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910508453403321 |
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Hassanien Aboul Ella
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| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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