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Artificial Intelligence and Cyber Security in Industry 4.0 [[electronic resource] /] / edited by Velliangiri Sarveshwaran, Joy Iong-Zong Chen, Danilo Pelusi
| Artificial Intelligence and Cyber Security in Industry 4.0 [[electronic resource] /] / edited by Velliangiri Sarveshwaran, Joy Iong-Zong Chen, Danilo Pelusi |
| Autore | Sarveshwaran Velliangiri |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (374 pages) |
| Disciplina | 658.4038028563 |
| Altri autori (Persone) |
ChenJoy Iong-zong
PelusiDanilo |
| Collana | Advanced Technologies and Societal Change |
| Soggetto topico |
Artificial intelligence
Internet of things Big data Machine learning Computational intelligence Wireless communication systems Mobile communication systems Artificial Intelligence Internet of Things Big Data Machine Learning Computational Intelligence Wireless and Mobile Communication |
| ISBN | 981-9921-15-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Artificial Intelligence and Cyber Security for Industry -- Role of AI and its impact on the development of cyber security applications -- AI and IoT in Manufacturing and related Security Perspectives for Industry 4.0 -- IoT Security Vulnerabilities and Defensive Measures in Industry 4.0 -- Adopting Artificial Intelligence in ITIL for Information Security Management - Way forward in Industry 4.0 -- Intelligent Autonomous Drones in Industry 4.0 -- A review on automatic generation of attack trees and its application to automotive cybersecurity -- Malware Analysis using Machine Learning Tools and Techniques in IT Industry -- USE OF MACHINE LEARNING IN FORENSICS AND COMPUTER SECURITY -- Control of feed drives in CNC machine tools using artificial immune adaptive strategy -- Efficient Anomaly Detection for Empowering Cyber Security by Using Adaptive Deep Learning Model -- Intrusion Detection in IoT based Healthcare Using ML and DL approaches: A Case Study -- War Strategy Algorithm based GAN model for Detecting the Malware Attacks in Modern Digital Age -- ML algorithms for providing financial security in banking sectors with the prediction of loan risks -- Machine Learning based DDoS Attack Detection using Support Vector Machine -- Artificial Intelligence based Cyber Security Applications. |
| Record Nr. | UNINA-9910731481703321 |
Sarveshwaran Velliangiri
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence and Cyber Security in Industry 4.0 [[electronic resource] /] / edited by Velliangiri Sarveshwaran, Joy Iong-Zong Chen, Danilo Pelusi
| Artificial Intelligence and Cyber Security in Industry 4.0 [[electronic resource] /] / edited by Velliangiri Sarveshwaran, Joy Iong-Zong Chen, Danilo Pelusi |
| Autore | Sarveshwaran Velliangiri |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (374 pages) |
| Disciplina | 658.4038028563 |
| Altri autori (Persone) |
ChenJoy Iong-zong
PelusiDanilo |
| Collana | Advanced Technologies and Societal Change |
| Soggetto topico |
Artificial intelligence
Internet of things Big data Machine learning Computational intelligence Wireless communication systems Mobile communication systems Artificial Intelligence Internet of Things Big Data Machine Learning Computational Intelligence Wireless and Mobile Communication |
| ISBN | 981-9921-15-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Artificial Intelligence and Cyber Security for Industry -- Role of AI and its impact on the development of cyber security applications -- AI and IoT in Manufacturing and related Security Perspectives for Industry 4.0 -- IoT Security Vulnerabilities and Defensive Measures in Industry 4.0 -- Adopting Artificial Intelligence in ITIL for Information Security Management - Way forward in Industry 4.0 -- Intelligent Autonomous Drones in Industry 4.0 -- A review on automatic generation of attack trees and its application to automotive cybersecurity -- Malware Analysis using Machine Learning Tools and Techniques in IT Industry -- USE OF MACHINE LEARNING IN FORENSICS AND COMPUTER SECURITY -- Control of feed drives in CNC machine tools using artificial immune adaptive strategy -- Efficient Anomaly Detection for Empowering Cyber Security by Using Adaptive Deep Learning Model -- Intrusion Detection in IoT based Healthcare Using ML and DL approaches: A Case Study -- War Strategy Algorithm based GAN model for Detecting the Malware Attacks in Modern Digital Age -- ML algorithms for providing financial security in banking sectors with the prediction of loan risks -- Machine Learning based DDoS Attack Detection using Support Vector Machine -- Artificial Intelligence based Cyber Security Applications. |
| Record Nr. | UNISA-996546840703316 |
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Sarveshwaran Velliangiri
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Computational intelligence in data mining : proceedings of ICCIDM 2021 / / Janmenjoy Nayak [and four others], editors
| Computational intelligence in data mining : proceedings of ICCIDM 2021 / / Janmenjoy Nayak [and four others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (757 pages) |
| Disciplina | 006.3 |
| Collana | Smart innovation, systems, and technologies |
| Soggetto topico |
Computational intelligence
Data mining |
| Soggetto non controllato | Mathematics |
| ISBN |
981-16-9446-X
981-16-9447-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743230403321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Data Mining [[electronic resource] ] : Proceedings of the International Conference on ICCIDM 2018 / / edited by Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi
| Computational Intelligence in Data Mining [[electronic resource] ] : Proceedings of the International Conference on ICCIDM 2018 / / edited by Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (789 pages) |
| Disciplina | 006.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Data mining Artificial intelligence Computational Intelligence Data Mining and Knowledge Discovery Artificial Intelligence |
| ISBN | 981-13-8676-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cluster Validity using Modified Fuzzy Silhouette Index on Large Dynamic Data Set -- Graph Based Crime Reports Clustering using Relations Extracted from Named Entities -- A Comprehensive Analysis of Kernelized Hybrid Clustering Algorithms With Firefly and Fuzzy Firefly Algorithms -- A Novel Position Concealment Audio Steganography in Insensible Frequency -- Improving Stock Market Prediction through Linear Combiners of Predictive Models -- Optimizing Generalized Capacitated Vehicle Routing problem using Augmented Savings Algorithm -- Prevention of Ethnic Violence and Riots using Supervised Rumor Detection -- Survey on Plagiarism Detection Systems and their Comparison -- A Generic Frame Work for Data Analysis in Privacy Preserving Data Mining -- Big Data Mining Algorithms for Predicting Dynamic Product Price by Online Analysis -- Short Term Solar Energy Forecasting By using Fuzzy Logic and ANFIS -- An Effective Trajectory Planning for a Material Handling Robot using PSO Algorithm -- Prediction of Arteriovenous Nicking for Hypertensive Retinopathy using Deep Learning -- Evolutionary Games for Cloud, Fog and Edge Computing – A Comprehensive Study. |
| Record Nr. | UNINA-9910484042003321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Pattern Recognition [[electronic resource] ] : Proceedings of CIPR 2023 / / edited by Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, S. Vimal, Danilo Pelusi
| Computational Intelligence in Pattern Recognition [[electronic resource] ] : Proceedings of CIPR 2023 / / edited by Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, S. Vimal, Danilo Pelusi |
| Autore | Das Asit Kumar |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (748 pages) |
| Disciplina | 006.4 |
| Altri autori (Persone) |
NayakJanmenjoy
NaikBighnaraj VimalS PelusiDanilo |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Image processing - Digital techniques Computer vision Artificial intelligence Computer networks - Security measures Computational Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Mobile and Network Security |
| ISBN | 981-9937-34-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A New Technique of Cipher Type Identification using Convolutional Neural Networks -- Monthly Rainfall forecasting Using Sequential Models -- Detection and Classification of Dental Caries Using Deep and Transfer Learning -- Method Level Code Smells Detection Using Machine Learning Models -- Performance Investıgatıon of Svm and Modıfıed Svm Algorıthms for Acute Health Dıagnosıs -- An Efficient Multifactor Authentication System -- A CNN based approach for Face Recognition under dif-ferent orientations -- A Deep Learning Approach for Detection of Disease in Plant Leaves -- Label Consistency based Modified Sequential Dictionary Learning based Approach for PIR Sensor based Detection of Human Movement Direction -- Machine Learning Based Phishing Detection in Heterogeneous Information Network. |
| Record Nr. | UNINA-9910742496203321 |
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Das Asit Kumar
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Pattern Recognition : Proceedings of CIPR 2021
| Computational Intelligence in Pattern Recognition : Proceedings of CIPR 2021 |
| Autore | Das Asit Kumar |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2021 |
| Descrizione fisica | 1 online resource (756 pages) |
| Altri autori (Persone) |
NayakJanmenjoy
NaikBighnaraj DuttaSoumi PelusiDanilo |
| Collana | Advances in Intelligent Systems and Computing Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-16-2543-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Computational Intelligence in Pattern Recognition |
| Record Nr. | UNINA-9910497095603321 |
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Das Asit Kumar
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| Singapore : , : Springer Singapore Pte. Limited, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Pattern Recognition [[electronic resource] ] : Proceedings of CIPR 2020 / / edited by Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, Soumi Dutta, Danilo Pelusi
| Computational Intelligence in Pattern Recognition [[electronic resource] ] : Proceedings of CIPR 2020 / / edited by Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, Soumi Dutta, Danilo Pelusi |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (xxvii, 596 pages) : illustrations |
| Disciplina | 006.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Optical data processing Data mining Computational Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Data Mining and Knowledge Discovery |
| ISBN | 981-15-2449-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Inference Based Statistical Analysis for Suspicious Activity Detection Using Facial Analysis -- A Conceptual Approach for Framework to Design Radar System Using Arduino with Initial Experiments -- Stratification of Indian Dance Forms through Audio Signal -- Forecasting House Price with an Optimum Set of Features -- Deep Learning based Automated Feature Engineering for Rice Leaf Disease Prediction -- Feature Extraction and Disease Prediction from Paddy Crops Using Data Mining Techniques -- A Proposed Gene Selection Approach for Disease Detection -- Modern Trends in Monitoring and Analysis of Chemical Pesticides by Using Artificial Neural Networks -- Raw Data Redundancy Elimination on Cloud Database -- Secured Cloud System Using Deep Learning -- Golf-worm Swarm Optimized 2DOF-PIDN controller for Frequency Regulation of Hybrid Power System. |
| Record Nr. | UNINA-9910483250003321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Pattern Recognition [[electronic resource] ] : Proceedings of CIPR 2019 / / edited by Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, Soumen Kumar Pati, Danilo Pelusi
| Computational Intelligence in Pattern Recognition [[electronic resource] ] : Proceedings of CIPR 2019 / / edited by Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, Soumen Kumar Pati, Danilo Pelusi |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (1,023 pages) |
| Disciplina | 006.4 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Optical data processing Data mining Computational Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Data Mining and Knowledge Discovery |
| ISBN | 981-13-9042-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Feature Selection using NSGA-II for Event Extraction on Genetic and Molecular Mechanisms Involved in Plant Seed Development -- An Improved Data Hiding Scheme through Image Interpolation -- Generalization Of Multi-bit Encoding Function based Data Hiding Scheme -- A Study on Reversible Image Watermarking Using Xilinx System Generator -- Statistical Analysis of the UNSW-NB15 Dataset for Intrusion Detection -- Singer Identification using MFCC and CRP features with Support Vector Machines -- Numerical Integration based Contrast Enhancement using Simpson’s Method -- Empirical Analysis of Proximity Measures in Machine Learning -- Music Tagging and Similarity Analysis for Recommendation System -- Elastic Window for Multiple Face Detection and Tracking from Video -- Efficient Energy Management in Microgrids using Flower Pollination Algorithm -- Automatic Multilingual System from Speech. |
| Record Nr. | UNINA-9910483576103321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Innovation in Electrical Power Engineering, Communication, and Computing Technology [[electronic resource] ] : Proceedings of IEPCCT 2019 / / edited by Renu Sharma, Manohar Mishra, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi
| Innovation in Electrical Power Engineering, Communication, and Computing Technology [[electronic resource] ] : Proceedings of IEPCCT 2019 / / edited by Renu Sharma, Manohar Mishra, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XXVII, 730 p. 439 illus., 313 illus. in color.) |
| Disciplina | 621.317 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Power electronics
Electronic circuits Electrical engineering Computer communication systems Power Electronics, Electrical Machines and Networks Circuits and Systems Communications Engineering, Networks Computer Communication Networks |
| ISBN | 981-15-2305-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910377820803321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Computing for Sustainable Development : First International Conference, ICICSD 2023, Hyderabad, India, August 25-26, 2023, Revised Selected Papers, Part II
| Intelligent Computing for Sustainable Development : First International Conference, ICICSD 2023, Hyderabad, India, August 25-26, 2023, Revised Selected Papers, Part II |
| Autore | Satheeskumaran S |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (227 pages) |
| Altri autori (Persone) |
ZhangYudong
BalasValentina Emilia HongTzung-pei PelusiDanilo |
| Collana | Communications in Computer and Information Science Series |
| ISBN | 3-031-61298-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- A Cognitive Architecture Based Conversation Agent Technology for Secure Communication -- 1 Introduction -- 2 Literature Review -- 3 Evaluation Based on Reputation and Risk Degree -- 4 Information Retrieval for Buyer and Suppler -- 5 Intercession Process -- 6 Negotiation Process -- 7 Conclusion -- References -- Darwinian Lion Swarm Optimization-Based Extreme Learning Machine with Adaptive Weighted Smote for Heart Disease Prediction -- 1 Introduction -- 2 Related Works -- 3 Methods -- 3.1 Data Pre-processing -- 3.2 Feature Selection Using OOA -- 3.3 CVD Prediction Using DLSO-ELM -- 4 Performance Evaluation -- 5 Conclusion -- References -- Alzheimer's Disease Detection Using Convolution Neural Networks -- 1 Introduction -- 2 Literature Review -- 2.1 Issues Identified -- 3 Proposed System -- 4 Result and Discussion -- 4.1 Result Analysis -- 5 Conclusion -- References -- A Comparison Study of Cyberbullying Detection Using Various Machine Learning Algorithms -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Proposed System -- 3.2 Architecture -- 3.3 Modules -- 3.4 UML Diagrams -- 4 Performance Analysis -- 5 Conclusion -- 6 Future Work -- References -- State of the Art Analysis of Word Sense Disambiguation -- 1 Introduction -- 2 Related Work -- 3 Main Approaches and Datasets Used for WSD -- 3.1 Dictionary-Based or Knowledge-Based Approach -- 3.2 Machine Learning Approach -- 4 Evaluation of the Survey -- 4.1 Supervised Approach -- 4.2 Unsupervised Approach -- 4.3 Knowledge-Based Approach -- 4.4 Semi-supervised Approach -- 5 Conclusion and Future Work -- References -- Oral Cancer Classification Using GLRLM Combined with Fuzzy Cognitive Map and Support Vector Machines from Dental Radiograph Images -- 1 Introduction -- 2 Related Works -- 3 Methodology.
3.1 Image Preprocessing -- 3.2 Image Segmentation -- 3.3 Gray Level Run Length Matrix -- 3.4 Fuzzy Cognitive Map -- 3.5 Support Vector Machine -- 4 Results and Discussions -- 5 Conclusion -- References -- Machine Learning Based Delta Sigma Modulator Using Memristor for Neuromorphic Computing -- 1 Introduction -- 2 Memristor for Artificial Neural Network -- 3 Two Stage CMOS Op-Amp Using Memristor -- 3.1 Subtractor -- 3.2 Integrator -- 3.3 Comparator -- 3.4 D Flip-Flop -- 3.5 1-Bit DAC -- 4 Sigma Delta ADC -- 5 Conclusion -- References -- An Effective Framework for the Background Removal of Tomato Leaf Disease Using Residual Transformer Network -- 1 Introduction -- 2 Literature Survey -- 2.1 Related Works -- 2.2 Problem Statement -- 3 Tomato Leaf Disease Classification with Deep Learning Using Background Removal -- 3.1 Dataset Information -- 3.2 Developed Model -- 3.3 Median Blur-Based Image Pre-processing -- 4 The Concept of Background Removal in Tomato Leaf Disease Classification Using Deep Learning -- 4.1 Background Removal Using FCN -- 4.2 Residual Transformer Network-Based Disease Classification -- 5 Result and Discussion -- 5.1 Experimental Setup -- 5.2 Performance Metrics -- 5.3 Resultant Background Removed Images -- 5.4 Analysis of Initiated Model with Conventional Classifiers -- 5.5 Performance Analysis on the Recommended Model -- 6 Conclusion -- References -- An Intelligent Ensemble Architecture to Accurately Predict Housing Price for Smart Cities -- 1 Introduction -- 2 The Literature Review -- 3 Methodology -- 3.1 Research Data Flow Diagram -- 3.2 Data Source and Selection -- 3.3 Data Preprocessing -- 3.4 Model Selection -- 4 Results and Discussions -- 5 Conclusion -- References -- Detection of Leaf Blight Disease in Sorghum Using Convolutional Neural Network -- 1 Introduction -- 2 Research Design and Model Development. 2.1 Proposed Model Development -- 3 Research Methodology -- 3.1 Dataset -- 4 Experiment Evaluation and Discussion -- 4.1 Dataset -- 4.2 Training Model -- 4.3 Hyper Parameters -- 4.4 Experimental Results -- 5 Conclusion -- References -- Data Security for Internet of Things (IoT) Using Lightweight Cryptography (LWC) Method -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 Light Weight Cryptography (LWC) -- 3.2 Elliptic Curve Cryptography (ECC) -- 3.3 Security Analysis -- 4 Results and Discussion -- 5 Conclusion -- References -- A Hybrid Optimization Driven Deep Residual Network for Sybil Attack Detection and Avoidance in Wireless Sensor Networks -- 1 Introduction -- 2 Proposed ECMVRO Enabling Assault Detection Method Based on DRN -- 2.1 Evaluation of WSN -- 2.2 Cluster Head Selection Using LEACH Protocol -- 2.3 Routing Using FABC -- 2.4 Attack Detection Using Proposed ECMVRO-DRN -- 2.5 Guiding of (DRN) Deep Residual Network -- 2.6 Attack Mitigation with Data Rates -- 2.7 Developed Sybil attack detection Model-Flow Chart -- 3 Simulation Results -- 4 Conclusion -- References -- Feature Engineering Techniques for Stegware Analysis: An Extensive Survey -- 1 Introduction -- 2 Related Study -- 3 Overview of Feature Engineering -- 3.1 Feature Selection Techniques -- 3.2 Feature Extraction Techniques -- 4 Comparative Analysis of Feature Engineering Techniques -- 5 Challenges and Future Directions -- 5.1 Challenges -- 5.2 Scope and Future Directions -- 6 Conclusion -- References -- Text Summarization Using Deep Learning: An Empirical Analysis of Various Algorithms -- 1 Introduction -- 2 Related Works -- 3 Model Architecture -- 3.1 Seq2seq Model -- 3.2 Transformers -- 4 Experiment and Result -- 5 Conclusion -- References -- An Improved Detection of Fetal Heart Disease Using Multilayer Perceptron -- 1 Introduction -- 2 Related Work. 3 Dataset -- 3.1 CHD Dataset -- 4 Methodology and Models -- 5 Data Pre-processing -- 5.1 Feature Selection -- 5.2 Image Classification -- 6 Fetal Heart Anatomical Findings -- 7 Performance Metrics Estimation -- 7.1 Accuracy -- 7.2 Precision -- 7.3 Recall -- 7.4 F1-Score -- 8 Results Analysis -- 9 Conclusion -- References -- Application of Deep Learning Techniques for Coronary Artery Disease Detection and Prediction: A Systematic Review -- 1 Introduction -- 2 Deep Learning Architectures and Applications -- 3 Performance Metrics -- 3.1 Accuracy -- 3.2 Sensitivity or P (+/Disease) -- 3.3 Specificity or P (-/Disease) -- 3.4 Prevalence -- 3.5 Positive Predict Value (PPV) -- 3.6 Negative Predict Value (NPV) -- 3.7 Confusion Matrix -- 3.8 ROC Curve -- 3.9 F-Score or F-Measure -- 4 Deep Learning for CAD Prediction -- 5 Conclusion -- References -- Author Index. |
| Record Nr. | UNINA-9910864192403321 |
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Satheeskumaran S
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| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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