Bioinformatics and medical applications : big data using deep learning algorithms / / edited by A. Suresh |
Pubbl/distr/stampa | Hoboken, NJ : , : John Wiley & Sons, Inc., , [2022] |
Descrizione fisica | 1 online resource (343 pages) |
Disciplina | 005.7 |
Soggetto topico |
Bioinformatics
Big data Deep learning (Machine learning) |
Soggetto genere / forma | Electronic books. |
ISBN |
1-119-79267-3
1-119-79266-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910555168103321 |
Hoboken, NJ : , : John Wiley & Sons, Inc., , [2022] | ||
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Lo trovi qui: Univ. Federico II | ||
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Bioinformatics and medical applications : big data using deep learning algorithms / / edited by A. Suresh [and four others] |
Pubbl/distr/stampa | Hoboken, NJ : , : Wiley, , ℗2022 |
Descrizione fisica | 1 online resource (343 pages) |
Disciplina | 005.7 |
Soggetto topico |
Medical informatics
Bioinformatics Big data Deep learning (Machine learning) |
ISBN |
1-119-79267-3
1-119-79266-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Probabilistic Optimization of Machine Learning Algorithms for Heart Disease Prediction / Jaspreet Kaur, Bharti Joshi, Rajashree Shedge -- Cancerous Cells Detection in Lung Organs of Human Body: IoT-Based Healthcare 4.0 Approach / Rohit Rastogi, DK Chaturvedi, Sheelu Sagar, Neeti Tandon, Mukund Rastogi -- Computational Predictors of the Predominant Protein Function: SARS-CoV-2 Case / Carlos Polanco, Manlio F M̀rquez, Gilberto Vargas-Alarc̤n -- Deep Learning in Gait Abnormality Detection: Principles and Illustrations / Saikat Chakraborty, Sruti Sambhavi, Anup Nandy -- Broad Applications of Network Embeddings in Computational Biology, Genomics, Medicine, and Health / Akanksha Jaiswar, Devender Arora, Manisha Malhotra, Abhimati Shukla, Nivedita Rai -- Heart Disease Classification Using Regional Wall Thickness by Ensemble Classifier / J Prakash, Kumar B Vinoth, R Sandhya -- Deep Learning for Medical Informatics and Public Health / K Aditya Shastry, H A Sanjay, M Lakshmi, N Preetham -- An Insight Into Human Pose Estimation and Its Applications / Shambhavi Mishra, Janamejaya Channegowda, Kasina Jyothi Swaroop -- Brain Tumor Analysis Using Deep Learning: Sensor and IoT-Based Approach for Futuristic Healthcare / Rohit Rastogi, DK Chaturvedi, Sheelu Sagar, Neeti Tandon, Akshit Rajan Rastogi -- Study of Emission From Medicinal Woods to Curb Threats of Pollution and Diseases: Global Healthcare Paradigm Shift in 21st Century / Rohit Rastogi, Mamta Saxena, Devendra Kr Chaturvedi, Sheelu Sagar, Neha Gupta, Harshit Gupta, Akshit Rajan Rastogi, Divya Sharma, Manu Bhardwaj, Pranav Sharma -- An Economical Machine Learning Approach for Anomaly Detection in IoT Environment / N Ambika -- Indian Science of Yajna and Mantra to Cure Different Diseases: An Analysis Amidst Pandemic With a Simulated Approach / Rohit Rastogi, Mamta Saxena, Devendra Kumar Chaturvedi, Mayank Gupta, Puru Jain, Rishabh Jain, Mohit Jain, Vishal Sharma, Utkarsh Sangam, Parul Singhal, Priyanshi Garg -- Collection and Analysis of Big Data From Emerging Technologies in Healthcare / K Nagashri, D S Jayalakshmi, J Geetha -- A Complete Overview of Sign Language Recognition and Translation Systems / Kasina Jyothi Swaroop, Janamejaya Channegowda, Shambhavi Mishra -- Index |
Record Nr. | UNINA-9910830347903321 |
Hoboken, NJ : , : Wiley, , ℗2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Deep learning and edge computing solutions for high performance computing / / A. Suresh, Sara Paiva, editors |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (XII, 279 p. 117 illus.) |
Disciplina | 610.285 |
Collana | EAI/Springer innovations in communication and computing |
Soggetto topico | Medical informatics |
ISBN | 3-030-60265-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Deep learning methods for applications -- High performance Computing systems for applications in Healthcare -- Hyperspectral data analysis and intelligent systems -- Microarray data analysis -- Sequence analysis -- Genomics based analytics -- Disease network analysis -- Techniques for big data Analytics and health information technology -- Deep Learning and Cross-Media Methods for Big Data Representation -- Mobile edge computing for Large-scale multimodal data acquisition techniques -- Personal Big data driven approaches to collect and analyze large volumes of information from emerging technologies -- Mobile edge computing techniques for healthcare applications -- Swarm intelligence big data computing for healthcare applications -- Conclusion. |
Record Nr. | UNINA-9910484365803321 |
Cham, Switzerland : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. Federico II | ||
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