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Advanced Computational and Communication Paradigms : Proceedings of International Conference on ICACCP 2017, Volume 2 / / edited by Siddhartha Bhattacharyya, Nabendu Chaki, Debanjan Konar, Udit Kr. Chakraborty, Chingtham Tejbanta Singh
Advanced Computational and Communication Paradigms : Proceedings of International Conference on ICACCP 2017, Volume 2 / / edited by Siddhartha Bhattacharyya, Nabendu Chaki, Debanjan Konar, Udit Kr. Chakraborty, Chingtham Tejbanta Singh
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (791 pages)
Disciplina 006.3
Collana Advances in Intelligent Systems and Computing
Soggetto topico Signal processing
Image processing
Speech processing systems
Electrical engineering
Computer communication systems
Signal, Image and Speech Processing
Communications Engineering, Networks
Computer Communication Networks
ISBN 981-10-8237-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Dedication -- About the Editors -- Table of Contents -- 77 Papers -- Author Index.
Record Nr. UNINA-9910299929303321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018
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Lo trovi qui: Univ. Federico II
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Advanced Computational Paradigms and Hybrid Intelligent Computing : Proceedings of ICACCP 2021
Advanced Computational Paradigms and Hybrid Intelligent Computing : Proceedings of ICACCP 2021
Autore Gandhi Tapan Kumar
Pubbl/distr/stampa Singapore : , : Springer Singapore Pte. Limited, , 2022
Descrizione fisica 1 online resource (653 pages)
Altri autori (Persone) KonarDebanjan
SenBiswaraj
SharmaKalpana
Collana Advances in Intelligent Systems and Computing Ser.
Soggetto genere / forma Electronic books.
ISBN 9789811643699
9789811643682
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910512174303321
Gandhi Tapan Kumar  
Singapore : , : Springer Singapore Pte. Limited, , 2022
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Lo trovi qui: Univ. Federico II
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Computer Vision and Machine Intelligence in Medical Image Analysis : International Symposium, ISCMM 2019 / / edited by Mousumi Gupta, Debanjan Konar, Siddhartha Bhattacharyya, Sambhunath Biswas
Computer Vision and Machine Intelligence in Medical Image Analysis : International Symposium, ISCMM 2019 / / edited by Mousumi Gupta, Debanjan Konar, Siddhartha Bhattacharyya, Sambhunath Biswas
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XII, 150 p. 62 illus., 31 illus. in color.)
Disciplina 006.3
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Signal processing
Image processing
Speech processing systems
Biomedical engineering
Computational Intelligence
Signal, Image and Speech Processing
Biomedical Engineering and Bioengineering
ISBN 981-13-8798-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. A Novel Method for Pneumonia Diagnosis from Chest X-Ray Images Using Deep Residual Learning with Separable Convolutional Networks -- Chapter 2. Identification of Neural Correlates of Face Recognition Using Machine Learning Approach -- Chapter 3. An Overview of Remote Photoplethysmography Methods for Vital Sign Monitoring -- Chapter 4. Fuzzy Inference System for Efficient Lung Cancer Detection -- Chapter 5. Medical Image Compression Scheme Using Number Theoretic Transform -- Chapter 6. The Retinal Blood Vessel Segmentation Using Expected Maximization Algorithm -- Chapter 7. Classification Algorithms to Predict Heart Diseases-A Survey -- Chapter 8. A Hybrid Filtering Based Retinal Blood Vessel Segmentation Algorithm -- Chapter 9. Laser Scar Classification in Retinal Fundus Images Using Wavelet Transform and Local Variance -- Chapter 10. Automated Segmentation of Cervical Cells Using MSER Algorithm and Gradient Embedded Cost Function Based Level Set Method -- Chapter 11. Macroscopic Reconstruction for Histopathology Images A Survey -- Chapter 12. Likelihood Prediction of Diabetes at Early Stage Using Data Mining Techniques -- Chapter 13. Medical Diagnosis Under Uncertain Environment Through Bipolar-valued Fuzzy Sets -- Chapter 14. Design and Analysis of Novel Room Temperature T-Ray Source for Biomedical Imaging: Application in Full Body Prosthetics.
Record Nr. UNINA-9910483252203321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
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Lo trovi qui: Univ. Federico II
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Hybrid Machine Intelligence for Medical Image Analysis / / edited by Siddhartha Bhattacharyya, Debanjan Konar, Jan Platos, Chinmoy Kar, Kalpana Sharma
Hybrid Machine Intelligence for Medical Image Analysis / / edited by Siddhartha Bhattacharyya, Debanjan Konar, Jan Platos, Chinmoy Kar, Kalpana Sharma
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (xvi, 293 pages)
Disciplina 616.0754
Collana Studies in Computational Intelligence
Soggetto topico Signal processing
Image processing
Speech processing systems
Artificial intelligence
Optical data processing
Pattern recognition
Signal, Image and Speech Processing
Artificial Intelligence
Image Processing and Computer Vision
Pattern Recognition
ISBN 981-13-8930-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Introduction -- Brain Tumor Segmentation from T1 Weighted MRI Images Using Rough Set Reduct and Quantum Inspired Particle Swarm Optimization -- Automated Region of Interest detection of Magnetic Resonance (MR) images by Center of Gravity (CoG) -- Brain tumors detection through low level features detection and rotation estimation -- Automatic MRI Image Segmentation for Brain tumors detection using Multilevel Sigmoid Activation (MUSIG) function -- Automatic Segmentation of pulmonary nodules in CT Images for Lung Cancer detection using self-supervised Neural Network Architecture -- A Hierarchical Fused Fuzzy Deep Neural Network for MRI Image Segmentation and Brain Tumor Classification -- Computer Aided Detection of Mammographic Lesions using Convolutional Neural Network (CNN) -- Conclusion.
Record Nr. UNINA-9910366605203321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
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Lo trovi qui: Univ. Federico II
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