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 and Communication Paradigms : Proceedings of International Conference on ICACCP 2017, Volume 1 / / edited by Siddhartha Bhattacharyya, Tapan Gandhi, Kalpana Sharma, Paramartha Dutta |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (XVI, 592 p. 313 illus.) |
Disciplina | 621.382 |
Collana | Lecture Notes in Electrical Engineering |
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 | 981-10-8240-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- Dedication -- About the Editors -- Table of Contents -- 65 Papers -- Author Index. |
Record Nr. | UNINA-9910299928903321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
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Lo trovi qui: Univ. Federico II | ||
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Applied Nature-Inspired Computing: Algorithms and Case Studies / / edited by Nilanjan Dey, Amira S. Ashour, Siddhartha Bhattacharyya |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (281 pages) |
Disciplina | 006.38 |
Collana | Springer Tracts in Nature-Inspired Computing |
Soggetto topico |
Computational intelligence
Algorithms Computer science—Mathematics Computer simulation Computational Intelligence Algorithm Analysis and Problem Complexity Mathematics of Computing Simulation and Modeling |
ISBN | 981-13-9263-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1. Particle Swarm Optimization of Morphological Filters for Electrocardiogram Baseline Drift Estimation -- Chapter 2. Detection of Breast Cancer using Fusion of MLO and CC View Features Through a Hybrid Technique Based on Binary Firefly algorithm and Optimum Path Forest Classification -- Chapter 3. Recommending Healthy Personalized Daily Menus – A Cuckoo Search based Hyper-Heuristic Approach -- Chapter 4. A Hybrid Bat-Inspired Algorithm for Power Transmission Expansion Planning on a Practical Brazilian Network -- Chapter 5. An Application of Binary Grey Wolf Optimizer (BGWO) variants for Unit Commitment Problem -- Chapter 6. Sensorineural hearing loss identification via discrete wavelet packet entropy and cat swarm optimization -- Chapter 7. Chaotic Variants of Grasshopper Optimisation Algorithm and their application to Protein Structure Prediction -- Chapter 8. Examination of Retinal Anatomical Structures – A Study with Spider Monkey Optimization Algorithm -- Chapter 9. Nature-Inspired Metaheuristics Search Algorithms for Solving the Economic Load Dispatch Problem of Power System: A Comparative Study -- Chapter 10. Parallel-series System Optimization by Weighting Sum Methods and Nature-inspired Computing -- Chapter 11. Development of Artificial Neural Networks trained by Heuristic Algorithms for Prediction of Exhaust Emissions and Performance of a Diesel Engine Fuelled with Biodiesel Blends. |
Record Nr. | UNINA-9910767546503321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Big Data Security / / Shibakali Gupta, Indradip Banerjee, Siddhartha Bhattacharyya |
Autore | Banerjee Indradip |
Pubbl/distr/stampa | De Gruyter, 2019 |
Descrizione fisica | 1 online resource (ix, 144 pages) : illustrations |
Disciplina | 005.7 |
Collana | De Gruyter Frontiers in Computational Intelligence |
Soggetto topico | Big data |
ISBN |
3-11-060596-1
3-11-060605-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Frontmatter -- Preface -- Contents -- List of Contributors -- 1. Introduction -- 2. Digital identity protection using blockchain for academic qualification certificates -- 3. Anomaly detection in cloud big database metric -- 4. Use of big data in hacking and social engineering -- 5. Steganography, the widely used name for data hiding -- 6. Big data security issues with challenges and solutions -- 7. Conclusions |
Record Nr. | UNISA-996333144003316 |
Banerjee Indradip
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De Gruyter, 2019 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Big Data Security / / Shibakali Gupta, Indradip Banerjee, Siddhartha Bhattacharyya |
Autore | Banerjee Indradip |
Pubbl/distr/stampa | De Gruyter, 2019 |
Descrizione fisica | 1 online resource (ix, 144 pages) : illustrations |
Disciplina | 005.7 |
Collana | De Gruyter Frontiers in Computational Intelligence |
Soggetto topico | Big data |
ISBN |
3-11-060596-1
3-11-060605-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Frontmatter -- Preface -- Contents -- List of Contributors -- 1. Introduction -- 2. Digital identity protection using blockchain for academic qualification certificates -- 3. Anomaly detection in cloud big database metric -- 4. Use of big data in hacking and social engineering -- 5. Steganography, the widely used name for data hiding -- 6. Big data security issues with challenges and solutions -- 7. Conclusions |
Record Nr. | UNINA-9910404123603321 |
Banerjee Indradip
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De Gruyter, 2019 | ||
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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 |
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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Confluence of artificial intelligence and robotic process automation / / edited by Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, and Debashis De |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
Descrizione fisica | 1 online resource (417 pages) |
Disciplina | 006.3 |
Collana | Smart Innovation, Systems and Technologies |
Soggetto topico | Artificial intelligence - Industrial applications |
ISBN | 981-19-8296-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1. Intelligent Automation Framework using AI and RPA: An Introduction -- Chapter 2. Role of RPA in Intelligent Auditing -- Chapter 3. Impact of AI and RPA in Banking -- Chapter 4. Robotic Process Automation: The key to Reviving the Supply Chain Processes -- Chapter 5. Intelligent Document Processing in end-to-end RPA contexts: a systematic literature review -- Chapter 6. Challenges in Banking and Solving them using RPA -- Chapter 7. Robotic Process Automation in Healthcare -- Chapter 8. Intellectual Property Management in Healthcare Using Robotic Process Automation during Covid-19 -- Chapter 9. RPA Revolution in the Healthcare Industry during COVID-19 -- Chapter 10. Importance of Artificial Intelligence (AI) and Robotic process automation (RPA) in the Banking Industry: A study from an Indian perspective -- Chapter 11. Integration of RPA and AI in Industry 4.0 -- Chapter 12. A Comprehensive Review on Artificial Intelligence (AI) and Robotic Process Automation (RPA) for the development of Smart Cities -- Chapter 13. The Existing IT Functions and Robotics Process Automation -- Chapter 14. RPA Adoption in Healthcare Application -- Chapter 15. Cognitive IoT meets Robotic Process Automation: The Unique Convergence revolutionizing Digital Transformation in the Industry 4.0 era -- Chapter 16. Confluence of Artificial Intelligence and Robotic Process Automation: Concluding Remarks. . |
Record Nr. | UNINA-9910682590403321 |
Singapore : , : Springer, , [2023] | ||
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Lo trovi qui: Univ. Federico II | ||
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Hybrid Intelligence for Social Networks / / edited by Hema Banati, Siddhartha Bhattacharyya, Ashish Mani, Mario Köppen |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XIV, 327 p. 142 illus., 105 illus. in color.) |
Disciplina | 006.3 |
Soggetto topico |
Artificial intelligence
Computational intelligence Application software Artificial Intelligence Computational Intelligence Computer Appl. in Social and Behavioral Sciences |
ISBN | 3-319-65139-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Social Networks: Fundamentals and Applications -- MapReduce-Based K-FA Algorithm for Detecting Communities in Social Networks -- Group Search Optimization Strategy for Community Detection in Complex Networks -- Strategizing Information Dissemination in Real-Life Networks -- Nature-Inspired Heuristics Approach to Partitioning Complex Interaction Networks -- ROGO: Recommendations on the Go for Travel Tweeters -- Analysing Social Interaction Networks: Improving Teaching Learning Pedagogies -- Adapting Trustworthy Social Web Environments for the Cloud -- Enhanced Black-Hole Algorithm for Viral Marketing -- Comparative Analysis of Network Visualization Tools -- Enacting a Prioritized Health Awareness Campaign for Social Web Users -- Identifying Clusters in Complex Dynamic Social Networks Using Evolutionary Algorithms -- Using Intuitionistic Fuzzy Sets to Prioritize Relationships Among Facebook Users -- A Predictive Approach to Ranking Academic Articles. . |
Record Nr. | UNINA-9910254840903321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
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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 |
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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Hybrid Metaheuristics for Image Analysis / / edited by Siddhartha Bhattacharyya |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (XII, 256 p. 100 illus., 50 illus. in color.) |
Disciplina | 006.3 |
Soggetto topico |
Artificial intelligence
Computational intelligence Optical data processing Artificial Intelligence Computational Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics |
ISBN | 3-319-77625-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Current and Future Trends in Segmenting Satellite Images Using Hybrid and Dynamic Genetic Algorithms -- A Hybrid Metaheuristic Algorithm Based on Quantum Genetic Computing for Image Segmentation -- Genetic Algorithm Implementation to Optimize the Hybridization of Feature Extraction and Metaheuristic Classifiers -- Optimization of a HMM-Based Hand Gesture Recognition System Using a Hybrid Cuckoo Search Algorithm -- Satellite Image Contrast Enhancement Using Fuzzy Termite Colony Optimization -- Image Segmentation Using Metaheuristic-Based DeformableModels -- Hybridization of the Univariate Marginal Distribution Algorithm with Simulated Annealing for Parametric Parabola Detection -- Image Thresholding Based on Fuzzy Particle Swarm Optimization -- Hybrid Metaheuristics Applied to Image Reconstruction for an Electrical Impedance Tomography Prototype. |
Record Nr. | UNINA-9910299349903321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
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Lo trovi qui: Univ. Federico II | ||
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