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.
Advanced Computing [[electronic resource] ] : 12th International Conference, IACC 2022, Hyderabad, India, December 16–17, 2022, Revised Selected Papers, Part II / / edited by Deepak Garg, V. A. Narayana, P. N. Suganthan, Jaume Anguera, Vijaya Kumar Koppula, Suneet Kumar Gupta
| Advanced Computing [[electronic resource] ] : 12th International Conference, IACC 2022, Hyderabad, India, December 16–17, 2022, Revised Selected Papers, Part II / / edited by Deepak Garg, V. A. Narayana, P. N. Suganthan, Jaume Anguera, Vijaya Kumar Koppula, Suneet Kumar Gupta |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XXXIV, 476 p. 264 illus., 207 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Application software Education—Data processing Image processing—Digital techniques Computer vision Artificial Intelligence Computer Engineering and Networks Computer and Information Systems Applications Computers and Education Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-031-35644-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Innovations in AI -- System Security and communication using AI -- Use of AI in Human Psychology -- Use of AI in Music and Video Industries. |
| Record Nr. | UNISA-996546836303316 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Computing [[electronic resource] ] : 12th International Conference, IACC 2022, Hyderabad, India, December 16–17, 2022, Revised Selected Papers, Part I / / edited by Deepak Garg, V. A. Narayana, P. N. Suganthan, Jaume Anguera, Vijaya Kumar Koppula, Suneet Kumar Gupta
| Advanced Computing [[electronic resource] ] : 12th International Conference, IACC 2022, Hyderabad, India, December 16–17, 2022, Revised Selected Papers, Part I / / edited by Deepak Garg, V. A. Narayana, P. N. Suganthan, Jaume Anguera, Vijaya Kumar Koppula, Suneet Kumar Gupta |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XXXIV, 506 p. 282 illus., 237 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Application software Education—Data processing Image processing—Digital techniques Computer vision Artificial Intelligence Computer Engineering and Networks Computer and Information Systems Applications Computers and Education Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-031-35641-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | AI in Industrial Applications -- Application of AI for Disease Classification and Trend Analysis -- Design of agricultural applications using AI -- Disease Classification Using CNN. |
| Record Nr. | UNISA-996546832303316 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Computing : 12th International Conference, IACC 2022, Hyderabad, India, December 16–17, 2022, Revised Selected Papers, Part II / / edited by Deepak Garg, V. A. Narayana, P. N. Suganthan, Jaume Anguera, Vijaya Kumar Koppula, Suneet Kumar Gupta
| Advanced Computing : 12th International Conference, IACC 2022, Hyderabad, India, December 16–17, 2022, Revised Selected Papers, Part II / / edited by Deepak Garg, V. A. Narayana, P. N. Suganthan, Jaume Anguera, Vijaya Kumar Koppula, Suneet Kumar Gupta |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XXXIV, 476 p. 264 illus., 207 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Application software Education—Data processing Image processing—Digital techniques Computer vision Artificial Intelligence Computer Engineering and Networks Computer and Information Systems Applications Computers and Education Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-031-35644-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Innovations in AI -- System Security and communication using AI -- Use of AI in Human Psychology -- Use of AI in Music and Video Industries. |
| Record Nr. | UNINA-9910734854603321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Computing : 12th International Conference, IACC 2022, Hyderabad, India, December 16–17, 2022, Revised Selected Papers, Part I / / edited by Deepak Garg, V. A. Narayana, P. N. Suganthan, Jaume Anguera, Vijaya Kumar Koppula, Suneet Kumar Gupta
| Advanced Computing : 12th International Conference, IACC 2022, Hyderabad, India, December 16–17, 2022, Revised Selected Papers, Part I / / edited by Deepak Garg, V. A. Narayana, P. N. Suganthan, Jaume Anguera, Vijaya Kumar Koppula, Suneet Kumar Gupta |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XXXIV, 506 p. 282 illus., 237 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Application software Education—Data processing Image processing—Digital techniques Computer vision Artificial Intelligence Computer Engineering and Networks Computer and Information Systems Applications Computers and Education Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-031-35641-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | AI in Industrial Applications -- Application of AI for Disease Classification and Trend Analysis -- Design of agricultural applications using AI -- Disease Classification Using CNN. |
| Record Nr. | UNINA-9910734869303321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Microelectronics, Electromagnetics and Telecommunications : proceedings of the fifth ICMEET 2019 ; Andhra Pradesh, India / / editors, P. Satish Rama Chowdary [et al.]
| Microelectronics, Electromagnetics and Telecommunications : proceedings of the fifth ICMEET 2019 ; Andhra Pradesh, India / / editors, P. Satish Rama Chowdary [et al.] |
| Edizione | [1st edition 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (762 pages) |
| Disciplina | 621.381 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Microelectronics
Power electronics Electromagnetism |
| ISBN | 981-15-3828-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Robust Architecture Based on Adaptive Recursive filter for Gigabit Communications -- DGS Based T-Shaped Patch Antenna for 5G Communication Applications -- Cascaded Operation of Hybrid Multilevel Inverter with Optimum Switching Angle Control for Power Quality Enhancement -- Performance Comparison Analysis of GTTPC and AHTPC Technique for WBAN with Mobile Scenario -- A Comprehensive Study and Evaluation of Recommender Systems -- LBPH Based Face Recognition System for Attendance Management -- A Perspective Review of Challenges on FinFET Technology in Low Power and High Speed Circuit Designs -- Proposed Pipeline ClockingScheme for Microarchitecture Data Propagation Delay Minimization -- Design of Metamaterial loaded Dipole Antenna for GPR -- Low-Power and High-Speed 2-4 &4-16 Decoders using Modified Gate Diffusion Input (M-GDI) Technique -- A Sensitive Based Approach for Optimal Allocation of Oupfcunder Single Line Contingencies -- Impact Analysis of Black Hole, Flooding Attacks and Enhancements in MANET Using SHA3 Keccak -- Reconfigurable Rectangular Microstrip Patch Antenna for S-Band Applications -- Design and Development of Hindrance Application Using Vocal and Quick Responsible Code for Railway -- Estimation from Censored Sample: Size Biased Lomax Distribution. |
| Record Nr. | UNINA-9910484826503321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Microelectronics, Electromagnetics and Telecommunications : Proceedings of ICMEET 2017 / / edited by Jaume Anguera, Suresh Chandra Satapathy, Vikrant Bhateja, K.V.N. Sunitha
| Microelectronics, Electromagnetics and Telecommunications : Proceedings of ICMEET 2017 / / edited by Jaume Anguera, Suresh Chandra Satapathy, Vikrant Bhateja, K.V.N. Sunitha |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXIV, 915 p. 644 illus.) |
| Disciplina | 621.381 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Electronics
Microelectronics Electronic circuits Electrical engineering Electronics and Microelectronics, Instrumentation Circuits and Systems Communications Engineering, Networks |
| ISBN | 981-10-7329-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Organising Committee -- Table of Contents -- 94 papers -- Author Index. |
| Record Nr. | UNINA-9910299899603321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of 2nd International Conference on Micro-Electronics, Electromagnetics and Telecommunications : ICMEET 2016 / / edited by Suresh Chandra Satapathy, Vikrant Bhateja, P. Satish Rama Chowdary, V.V.S.S. Sameer Chakravarthy, Jaume Anguera
| Proceedings of 2nd International Conference on Micro-Electronics, Electromagnetics and Telecommunications : ICMEET 2016 / / edited by Suresh Chandra Satapathy, Vikrant Bhateja, P. Satish Rama Chowdary, V.V.S.S. Sameer Chakravarthy, Jaume Anguera |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXII, 691 p. 511 illus.) |
| Disciplina | 621.381 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Electronics
Microelectronics Electronic circuits Electrical engineering Electronics and Microelectronics, Instrumentation Circuits and Systems Communications Engineering, Networks |
| ISBN | 981-10-4280-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Conference Organizing Committee -- About the editors -- Table Contents -- 72 Chapters -- Author Index. |
| Record Nr. | UNINA-9910299584303321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Signal Processing, Telecommunication and Embedded Systems with AI and ML Applications : Proceedings of 8th International Conference on Microelectronics Electromagnetics and Telecommunications (ICMEET 2023) / / edited by Vikrant Bhateja, V. V. S. S. S Chakravarthy, Jaume Anguera, Anumoy Ghosh, Wendy Flores Fuentes
| Signal Processing, Telecommunication and Embedded Systems with AI and ML Applications : Proceedings of 8th International Conference on Microelectronics Electromagnetics and Telecommunications (ICMEET 2023) / / edited by Vikrant Bhateja, V. V. S. S. S Chakravarthy, Jaume Anguera, Anumoy Ghosh, Wendy Flores Fuentes |
| Autore | Bhateja Vikrant |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (513 pages) |
| Disciplina | 621.3815 |
| Altri autori (Persone) |
ChakravarthyV. V. S. S. S
AngueraJaume GhoshAnumoy Flores FuentesWendy |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Electronic circuits
Electronics Embedded computer systems Internet of things Electronic Circuits and Systems Electronics and Microelectronics, Instrumentation Embedded Systems Internet of Things |
| ISBN |
9789819784226
9819784220 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- About the Editors -- Learning-Based Traffic Classification for Software-Defined Networks -- 1 Introduction -- 2 Literature Survey -- 2.1 Payload-Based IP Traffic Classification -- 2.2 ML Classification -- 3 Proposed Solution -- 3.1 ML Model Training -- 3.2 Data Preparation -- 3.3 Data Clustering -- 3.4 Classification -- 3.5 Network Application Development -- 4 Result and Discussion -- 4.1 Network Traffic Using K-Means Clustering -- 4.2 Network Traffic Classification -- 4.3 Network Performance -- 5 Conclusion -- References -- AI-Based Wireless Display Data Extraction Using YOLO v5 Model -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Idea -- 3.1 Dataset Collection -- 3.2 ESP 32 Module -- 3.3 Block Diagram -- 3.4 Modular Diagram -- 4 Implementation and Results -- 4.1 Experimental Setup -- 4.2 Results and Discussions -- 5 Conclusion and Future Work -- References -- Malicious Attack Detection Using Deep Learning in IoT Network -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Proposed System -- 3.2 Dataset Description -- 3.3 Pre-processing -- 3.4 Deep Learning Algorithm -- 4 Results and Discussion -- 5 Conclusion and Future Works -- References -- Proposing a Machine Learning Approach for Cardiovascular Disease Prediction -- 1 Introduction -- 2 Problem Statement -- 3 Literature Survey -- 4 Proposed Methodology -- 5 Implementation and Results -- 6 Conclusion -- References -- Deep Learning-Based Automatic Skin Lesion Segmentation -- 1 Introduction -- 2 Literature Survey -- 2.1 Contributions -- 3 Dataset and Evaluation Metrics -- 4 Methods -- 5 Results and Discussion -- 6 Conclusion -- References -- Detection of COVID-19 CoronaVirus Using ResNet Deep Learning Technique -- 1 Introduction -- 2 Related Work -- 3 Material and Methods -- 4 Feature Extraction and Data Augmentation -- 4.1 Rotation.
4.2 Transfer Learning Using a Convolutional Neural Network (CNN) -- 5 Feature Selection -- 6 Residual Network (ResNet) -- 6.1 Network Model ResNet50 -- 6.2 Network Model ResNet101 -- 6.3 Measures of Performance -- 7 Result Overview -- 8 Conclusion -- References -- Using Blue Whale Technology: An ML Edge Self-Adaptable Vehicle Slowdown Earliest Warning Information System -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 4 Light Detection and Ranging/High-Resolution Camera -- 5 Results and Discussion -- 6 Conclusion -- References -- Confluence of Machine Learning and Internet of Things for E-Healthcare Security -- 1 Introduction -- 2 Related Work -- 3 Proposed ML Based Framework for Medical Information Security -- 4 Result -- 5 Security Laws required for E-Healthcare -- 6 Conclusion -- References -- Hybrid Intelligent System for Improved Decision Support in Customer Churn Prediction for a Telecommunication Company -- 1 Introduction -- 2 Methodology -- 2.1 Dataset: Customer Churn Prediction for a Telecommunication Company -- 2.2 Evaluation Metrics for Measuring Decision Support Improvement -- 3 Case Studies and Experiments -- 3.1 Description of Datasets Used in Experiments -- 3.2 Implementation Details of the HIS -- 3.3 Interpretation of Findings and Insights -- 4 Results and Analysis -- 4.1 Analysis and Insights -- 5 Conclusion -- References -- A Study on the Detection and Different Methods of Classification of Arrhythmia Utilizing ECG Signal -- 1 Introduction -- 2 Methodology -- 2.1 Detection of Presence of Arrhythmia -- 2.2 Classification of the Arrhythmic Signal -- 2.3 Determination of the Accuracy of Different Classification Algorithms -- 3 Results and Analysis -- 4 Conclusion -- References -- Detection of Faults Based on Machine Learning Schemes in Wireless Sensor Networks -- 1 Introduction -- 2 Related Work. 3 Problem Statement -- 3.1 Fault Taxonomy in WSNs -- 3.2 Challenges of Faults Detection in WSNs -- 4 Extra Trees-Based Fault Detection Approach -- 4.1 Proposed Approach -- 4.2 System Model of Fault Detection -- 5 Experimental Results and Discussions -- 5.1 Simulations -- 5.2 Original Dataset -- 5.3 Prepared Dataset -- 5.4 Results -- 6 Conclusion -- References -- Deep Learning-Based Anomaly Detection for Early Cancer Detection in CT Scans -- 1 Introduction -- 2 Related Work -- 2.1 Traditional Anomaly Detection in Medical Imaging -- 2.2 Deep Learning-Based Approaches in Cancer Detection -- 2.3 Deep Learning for Multi-modal Anomaly Detection -- 3 Data Collection and Preprocessing -- 4 Sample Dataset Description -- 5 Deep Learning Model Architecture -- 5.1 Architecture of the Convolutional Autoencoder -- 5.2 Encoder Architecture -- 5.3 Decoder Architecture -- 6 Training and Model Optimization -- 6.1 Training Data Preparation and Data Splitting -- 6.2 Hyperparameter Tuning -- 6.3 Training Process and Convergence Analysis -- 7 Experimental Results -- 7.1 Evaluation Metrics: Sensitivity, Specificity, AUC-ROC -- 7.2 Comparison with Baseline and Traditional Approaches -- 7.3 Visualizing Model Outputs and Detected Anomalies -- 8 Conclusion -- References -- Deep Learning-Based Improvement in Automated Diagnosis of Soft Tissue Tumours -- 1 Introduction -- 2 Methodology -- 2.1 Assessment of Model Efficiency -- 3 Deep Learning Soft Tissue Tumores Medical Images -- 3.1 Primary Soft Tissue Tumours -- 3.2 Soft Tissue Tumours Metastasis -- 3.3 Deep Learning Soft Tissue Tumours Based on Pathological -- 3.4 Discussions -- 4 Conclusions -- References -- Multi-modal Medical Image Fusion Using Wavelets and Morphological Filters for Diagnosis of Neurological Disorders -- 1 Introduction -- 1.1 Background -- 1.2 Literature Survey. 2 Proposed Methodology for Multi-modal Fusion Using DWT and Morphological Filters -- 2.1 Input Source Images (Benchmarking Dataset) -- 2.2 Pre-processing Using Morphological Filters -- 2.3 Wavelets -- 2.4 Image Fusion -- 3 Fusion Metrics Used for IQA -- 3.1 Entropy -- 3.2 Mutual Information -- 4 Experimental Results -- 4.1 Simulation Set-Up -- 4.2 Simulation Results -- 5 Conclusion -- References -- Machine Learning Approach of Stent Placement for Coronary Artery Disease Patients-A Hypothetical Approach -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Example -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Non-Local Means Filter-Based Unsharp Masking Model for Mammogram Enhancement -- 1 Introduction -- 2 Related Works -- 3 Non-Local Means Filter -- 4 Proposed NLM Filter-Based UM Model -- 5 Experimental Framework for Mammogram Enhancement -- 6 Results -- 7 Conclusion -- References -- Predominant Music Genre Classification Using Machine Learning Approach -- 1 Introduction -- 1.1 Dataset Description -- 2 Literature Review -- 3 Methodology -- 3.1 Audio Pre-processing -- 3.2 Feature Extraction -- 3.3 Data Visualization -- 4 Analysis -- 5 Comparative Study -- 6 Conclusions and Future Works -- References -- Vehicle Detection and Classification Using Intelligent Systems -- 1 Introduction -- 1.1 Application -- 2 Related Work -- 2.1 Data Annotation -- 3 System Architecture -- 3.1 Model -- 3.2 Single Shot Detector -- 4 Results -- 4.1 Testing Results -- 5 Conclusion -- References -- An Investigation into Chronic Kidney Disease Based-on Classification Model -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset -- 3.2 Classification Models -- 3.3 Data Preprocessing -- 4 Experiments and Results -- 5 Conclusion -- References -- Human Activity Recognition Using Machine Learning Models -- 1 Introduction -- 2 Related Work -- 3 Dataset. 4 Methodology -- 5 Implementation -- 6 Results and Discussions -- 7 Conclusion -- References -- Improving the Performance of Multimodal Biometric Recognition Using Machine Learning Techniques in Comparison with K-fold Cross Validation -- 1 Introduction -- 1.1 Literature Survey -- 1.2 Outline of the Proposed Approach -- 2 Experimental Analysis -- 2.1 Data Sampling -- 2.2 Face Recognition -- 2.3 BiLSTM Model (Bi-directional-Long Short-Term Memory) -- 2.4 Performance Metrics -- 2.5 Identification of Appropriate K Value -- 3 Conclusion -- References -- A Critical Analysis of the Implications of Employing Artificial Intelligence in Healthcare from an Ethical and Legal Perspective -- 1 Introduction -- 2 Healthcare Applications of AI -- 2.1 Instructions on Using AI in Healthcare -- 2.2 Development and Validation of Drugs -- 2.3 Applications for an off AI and Disease Diagnosis -- 2.4 Innovative AI-Powered Solutions for Treatment -- 3 Ethical and Legal Assessment -- 3.1 Ethical Thoughts About the Use of Artificial Intelligence -- 3.2 Law and Rules in Healthcare -- 3.3 Legal Considerations for AI in Healthcare -- 4 Conclusion -- References -- Design of an Automated Smart Waste Management Systems Using CNN -- 1 Introduction -- 2 Literature Survey -- 3 Automated Smart Waste Management System -- 4 Results Analysis -- 5 Conclusion -- References -- An Analogy of Machine Learning Algorithms for Diabetes Call -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Data Preprocessing -- 3.2 Missing Value Identification -- 3.3 Outlier Identification and Removal -- 3.4 Feature Choice -- 3.5 Normalization -- 3.6 Dataset Train and Test Methods -- 4 Results -- 5 Conclusion -- References -- Identifying and Categorizing Skin Disorders by Using CNN to Diagnose Five Prevalent Skin Disease from Skin Images -- 1 Introduction -- 2 Literature Survey. 3 Methodology. |
| Record Nr. | UNINA-9910983490803321 |
Bhateja Vikrant
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||