"A Deep Learning Framework for Heart Disease Classification in an IoTs-Based System"

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Book	Author(s)	Year	Publisher
Community-Based Language Learning: A Framework for Educators	Joan Clifford and Deborah S. Reisinger	2018	Georgetown University Press
C++ Template Metaprogramming in Practice: A Deep Learning Framework	Li Wei	2020	Routledge
Deep Learning for Hyperspectral Image Analysis and Classification	Linmi Tao; Atif Mughees	1st ed. 2021	Springer Nature Singapore
Deep Learning-Based Approaches for Sentiment Analysis	Basant Agarwal; Richi Nayak; Namita Mittal; Srikanta Patnaik	1st ed. 2020	Springer Nature Singapore
Psychotherapy for Ischemic Heart Disease: An Evidence-based Clinical Approach	Adriana Roncella; Christian Pristipino	1st ed. 2016	Springer International Publishing
Deep Learning-Based Face Analytics	Nalini K Ratha; Vishal M. Patel; Rama Chellappa	1st ed. 2021	Springer International Publishing
Practical Deep Learning: A Python-Based Introduction	Ron Kneusel	2021	No Starch Press
Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications	George A. Tsihrintzis; Lakhmi C. Jain	1st ed. 2020	Springer International Publishing
Deep Learning Based Speech Quality Prediction	Gabriel Mittag	1st ed. 2022	Springer International Publishing
Automated Software Engineering: A Deep Learning-Based Approach	Suresh Chandra Satapathy; Ajay Kumar Jena; Jagannath Singh; Saurabh Bilgaiyan	1st ed. 2020	Springer International Publishing
Practical MATLAB Deep Learning: A Project-Based Approach	Michael Paluszek; Stephanie Thomas	1st ed.	Apress
Implementing the National Service Framework for Coronary Heart Disease in Primary Care	Zafar Iqbal; Ruth Chambers; Paul Woodmansey	December 1, 2001	Radcliffe Publishing Ltd
An ecological land classification framework for the United States	Richard S. Driscoll	1984	U.S. Dept. of Agriculture, Forest Service;For sale by the Supt. of Docs., U.S. G.P.O.
Microcomputer-based instrumentation system for monitoring ground support in a deep mine shaft	J. K. Whyatt	1985	U.S. Dept. of the Interior, Bureau of Mines
Deep in a Texans Heart	Sara Orwig	2013	Harlequin (UK)
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks	Umberto Michelucci	1st ed.	Apress
Learning capitalist culture: deep in the heart of tejas	Douglas E. Foley	2010	University of Pennsylvania Press
Learning capitalist culture: deep in the heart of Tejas	Douglas E. Foley	1990	University of Pennsylvania Press
Deep Neural Networks in a Mathematical Framework	Anthony L. Caterini; Dong Eui Chang	1st ed. 2018	Springer International Publishing
Problem-Based Learning Mystery Disease: Problem-Based Learning (Grades 5-8)	Mark A. Bohland; Stephanie O’Shaughnessy	2005	Routledge
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A Deep Learning Framework for Heart Disease Classification in an IoTs-Based System	Thanh-Hai Nguyen; Thanh-Nghia Nguyen; Thanh-Tam Nguyen	A Handbook of Internet of Things in Biomedical and Cyber Physical System	Valentina E. Balas; Vijender Kumar Solanki; Raghvendra Kumar; Md. Atiqur Rahman Ahad	1st ed. 2020	Springer International Publishing
Knowledge Framework for Deep Learning: Congenital Heart Disease	Ritu Chauhan; Harleen Kaur	Deep Learning in Data Analytics: Recent Techniques, Practices and Applications	Debi Prasanna Acharjya; Anirban Mitra; Noor Zaman	1st ed. 2022	Springer International Publishing
Deep Learning-Based Cauliflower Disease Classification	Md. Abdul Malek; Sanjida Sultana Reya; Nusrat Zahan; Md. Zahid Hasan; Mohammad Shorif Uddin	Computer Vision and Machine Learning in Agriculture, Volume 2	Mohammad Shorif Uddin; Jagdish Chand Bansal	1st ed. 2022	Springer Nature Singapore
A Deep Learning-Based Approach for Potato Disease Classification	Md. Zahid Hasan; Nusrat Zahan; Nahid Zeba; Amina Khatun; Mohammad Reduanul Haque	Computer Vision and Machine Learning in Agriculture	Mohammad Shorif Uddin; Jagdish Chand Bansal	1st ed. 2021	Springer Nature Singapore
Deep Learning-Based Lentil Leaf Disease Classification	Kaniz Fatema; Md. Awlad Hossen Rony; Kazi Mumtahina Puspita; Md. Zahid Hasan; Mohammad Shorif Uddin	Proceedings of International Joint Conference on Advances in Computational Intelligence: IJCACI 2021	Mohammad Shorif Uddin; Prashant Kumar Jamwal; Jagdish Chand Bansal	1st ed. 2022	Springer Nature Singapore
A Predictive System for IoTs Reconfiguration Based on TensorFlow Framework	Tuan Nguyen-Anh; Quan Le-Trung	Industrial Networks and Intelligent Systems: 6th EAI International Conference, INISCOM 2020, Hanoi, Vietnam, August 27–28, 2020, Proceedings	Nguyen-Son Vo; Van-Phuc Hoang	1st ed. 2020	Springer International Publishing
Deep Learning-Based Enhanced Classification Model for Pneumonia Disease	S. Jeba Priya; S. Joshua Jaistein; G. Naveen Sundar; T. Raja Sundrapandiyanleebanon	Smart Computing Techniques and Applications: Proceedings of the Fourth International Conference on Smart Computing and Informatics, Volume 2	Suresh Chandra Satapathy; Vikrant Bhateja; Margarita N. Favorskaya; T. Adilakshmi	1st ed. 2021	Springer Nature Singapore
A Garbage Image Classification Framework Based on Deep Learning	Chengchuang Lin; Gansen Zhao; Lei Zhao; Bingchuan Chen	The 10th International Conference on Computer Engineering and Networks	Qi Liu; Xiaodong Liu; Tao Shen; Xuesong Qiu	1st ed. 2021	Springer Nature Singapore
A Robust Classification Framework for Medical Patents Based on Deep Learning	Siyuan Wang; Mei Long; Xiaoyu Shi; Xianbo He; Mingsheng Shang	Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery	Hongying Meng; Tao Lei; Maozhen Li; Kenli Li; Ning Xiong; Lipo Wang	1st ed. 2021	Springer International Publishing
Deep learning–based decision support system for multicerebral disease classification and identification	Shiyona Dash; Rajat Ajay Thakur; Smiti Tripathy; Sumit Kumar Jindal	Brain Tumor MRI Image Segmentation Using Deep Learning Techniques	Jyotismita Chaki	2021	Academic Press
Deep Learning Based Classification System for Recognizing Local Spinach	Mirajul Islam; Nushrat Jahan Ria; Jannatul Ferdous Ani; Abu Kaisar Mohammad Masum; Sheikh Abujar; Syed Akhter Hossain	Advances in Deep Learning, Artificial Intelligence and Robotics: Proceedings of the 2nd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2020	Luigi Troiano; Alfredo Vaccaro; Roberto Tagliaferri; Nishtha Kesswani; Irene Díaz Rodriguez; Imene Brigui; Domenico Parente	1st ed. 2022	Springer International Publishing
A SVM Algorithm for Falling Detection in an IoTs-Based System	Thanh-Hai Nguyen; Thanh-Tam Nguyen; Ba-Viet Ngo	A Handbook of Internet of Things in Biomedical and Cyber Physical System	Valentina E. Balas; Vijender Kumar Solanki; Raghvendra Kumar; Md. Atiqur Rahman Ahad	1st ed. 2020	Springer International Publishing
A Unified Framework for MR Based Disease Classification	Kilian M. Pohl; Mert R. Sabuncu	Information Processing in Medical Imaging: 21st International Conference, IPMI 2009, Williamsburg, VA, USA, July 5-10, 2009, Proceedings	Jerry L. Prince; Dzung L. Pham; Kyle J. Myers	2009	Springer Berlin Heidelberg
An Efficient Deep Learning Based Approach for Malware Classification	Madhurima Rana; Swathi Edem	Machine Learning Technologies and Applications: Proceedings of ICACECS 2020	C. Kiran Mai; A. Brahmananda Reddy; K. Srujan Raju	1st ed. 2021	Springer Nature Singapore
An Adaptation Framework for Web Based Learning System		Knowledge-Based Intelligent Information and Engineering Systems: 8th International Conference, Kes 2004, Wellington, New Zealand, September 20-25, 2004, Proceedings, Part I	Howlett R.J. (ed.), Jain L.C. (ed.)	2004	Springer
A Deep Learning-Based Framework for the Classification of Non-functional Requirements	Maliha Sabir; Ebad Banissi; Mike Child	Trends and Applications in Information Systems and Technologies: Volume 2	Álvaro Rocha; Hojjat Adeli; Gintautas Dzemyda; Fernando Moreira; Ana Maria Ramalho Correia	1st ed. 2021	Springer International Publishing
Alzheimer’s disease classification using deep learning	V.S. Jayanthi; Blessy C. Simon; D. Baskar	Computational Intelligence and Its Applications in Healthcare	Jitendra Verma; Prashant Johri andSudip Paul	2020	Academic Press
Deep Learning Based Framework for Breast Cancer Mammography Classification Using Resnet50	Pandit Byomakesha Dash; H. S. Behera; Manas Ranjan Senapati	Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2022	Asit Kumar Das; Janmenjoy Nayak; Bighnaraj Naik; S. Vimal; Danilo Pelusi	1st ed. 2022	Springer Nature Singapore
Deep Learning-Based Methods for Plant Disease	Vu Thanh Nguyen; Triet Quang Duong; Tuan Dinh Le; Anh Thi Dieu Nguyen	Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4. 0 Applications: 7th International Conference, FDSE 2020, Quy Nhon, Vietnam, November 25–27, 2020, Proceedings	Tran Khanh Dang; Josef Küng; Makoto Takizawa; Tai M. Chung	1st ed. 2020	Springer Nature Singapore
Text mining and deep learning for disease classification	Yifan Peng; Zizhao Zhang; Xiaosong Wang; Lin Yang; Le Lu	Handbook of Medical Image Computing and Computer Assisted Intervention	Daniel Rueckert; Gabor Fichtinger andS. Kevin Zhou	2020	Academic Press
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