"Using Deep Learning Methods to Predict Walking Intensity from Plantar Pressure Images"

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Book	Author(s)	Year	Publisher
Using inductive learning to predict bankruptcy	James A. Gentry	1992	College of Commerce and Business Administration, University of Illinois at Urbana-Champaign
Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R	Taweh Beysolow II	1st ed.	Apress
Deep Learning: Methods and Applications	Li Deng, Dong Yu	2014	Now Publishers
Deep Learning for Beginners; A beginner's guide to getting up and running with deep learning from scratch using Python	Dr. Pablo Rivas	2020	Packt
Programming Machine Learning: From Coding to Deep Learning	Paolo Perrotta	2020	Pragmatic Bookshelf
Using Modeling to Predict and Prevent Victimization	Ken Pease; Andromachi Tseloni	2014	Springer International Publishing
Visual Impact, Visual Teaching: Using Images to Strengthen Learning	Timothy Gangwer	Corwin	Corwin
Visual impact, visual teaching: using images to strengthen learning	Timothy Gangwer	2009	Corwin Press
Visual impact,visual teaching: using images to strengthen learning	Timothy Gangwer	2005	Brain Store, Inc.
How to predict the spread and intensity of forest and range fires	Richard C. Rothermel	1983	U.S. Dept. of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station
Application of Machine Learning and Deep Learning Methods to Power System Problems	Morteza Nazari-Heris; Somayeh Asadi; Behnam Mohammadi-Ivatloo; Moloud Abdar; Houtan Jebelli; Milad Sadat-Mohammadi	1st ed. 2021	Springer International Publishing
Network Intrusion Detection using Deep Learning: A Feature Learning Approach	Kwangjo Kim; Muhamad Erza Aminanto; Harry Chandra Tanuwidjaja	1st ed. 2018	Springer Nature Singapore
Malware Analysis Using Artificial Intelligence and Deep Learning	Mark Stamp; Mamoun Alazab; Andrii Shalaginov	1st ed. 2021	Springer International Publishing
Tensorflow for Deep Learning: From Linear Regression to Reinforcement Learning	Bharath Ramsundar	2018	O'Reilly Media
Variational Methods for Machine Learning with Applications to Deep Networks	Lucas Pinheiro Cinelli; Matheus Araújo Marins; Eduardo Antônio Barros da Silva; Sérgio Lima Netto	1st ed. 2021	Springer International Publishing
Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques	Ramchandra S. Mangrulkar; Antonis Michalas; Narendra M. Shekokar; Meera Narvekar; Pallavi V. Chavan	2021	Routledge
Design of a space based sensor to predict the intensity and location of earthquakes from electromagnetic radiation	Michael L. Whyms	1985
Machine Learning Using TensorFlow Cookbook: Over 60 recipes on machine learning using deep learning solutions from Kaggle Masters and Google Developer Experts	Alexia Audevart, Konrad Banachewicz, Luca Massaron	2021	Packt Publishing
R deep learning essentials: a step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet /	Hodnett, Mark,; Wiley, Joshua F.,	2018.	Packt Publishing Ltd,
Advanced Methods and Deep Learning in Computer Vision	E. R. Davies and Matthew Turk	2022	Academic Press
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Using Deep Learning Methods to Predict Walking Intensity from Plantar Pressure Images	Hsing-Chung Chen; Sunardi; Yih-Kuen Jan; Ben-Yi Liau; Chih-Yang Lin; Jen-Yung Tsai et al.	Advances in Physical, Social & Occupational Ergonomics: Proceedings of the AHFE 2021 Virtual Conferences on Physical Ergonomics and Human Factors, Social & Occupational Ergonomics, and Cross-Cultural Decision Making, July 25-29, 2021, USA	Ravindra S. Goonetilleke; Shuping Xiong; Henrijs Kalkis; Zenija Roja; Waldemar Karwowski; Atsuo Murata	1st ed. 2021	Springer International Publishing
Story Generation from Images Using Deep Learning	Abrar Alnami; Miada Almasre; Norah Al-Malki	Information, Communication and Computing Technology: 6th International Conference, ICICCT 2021, New Delhi, India, May 8, 2021, Revised Selected Papers	Mahua Bhattacharya; Latika Kharb; Deepak Chahal	1st ed. 2021	Springer International Publishing
Using Microscopic Images to Predict Plant Diseases in a Deep Learning Environment	Priyadarshini Patil; Prashant Narayankar; Deepa Mulimani; Mayur Patil	ICT for Competitive Strategies: Proceedings of 4th International Conference on Information and Communication Technology for Competitive Strategies (ICTCS 2019), December 13th-14th, 2019, Udaipur, India	Durgesh Kumar Mishra; Nilanjan Dey; Bharat Singh Deora; Amit Joshi	2020	Routledge
Deep Learning in IVF to Predict the Embryo Infertility from Blastocyst Images	Satya kiranmai Tadepalli; P. V. Lakshmi	ICCCE 2020: Proceedings of the 3rd International Conference on Communications and Cyber Physical Engineering	Amit Kumar; Stefan Mozar	1st ed. 2021	Springer Nature Singapore
Pneumonia Detection from Chest X-Ray Images Using Deep Learning Methods	C. Lenny; A. Ajitha Margharet; B. Shiny; Sabnam Tigga; S. Thomas George	Disruptive Technologies for Big Data and Cloud Applications: Proceedings of ICBDCC 2021	J. Dinesh Peter; Steven Lawrence Fernandes; Amir H. Alavi	1st ed. 2022	Springer Nature Singapore
Retinal Disease Classification from Retinal-OCT Images Using Deep Learning Methods	Archana Naik; B. S. Pavana; Kavitha Sooda	Machine Intelligence and Data Science Applications: Proceedings of MIDAS 2021	Vaclav Skala; T. P. Singh; Tanupriya Choudhury; Ravi Tomar; Md. Abul Bashar	1st ed. 2022	Springer Nature Singapore
Age Estimation from Face Images using Deep Learning	Hassan Ugail	Deep Learning in Visual Computing: Explanations and Examples	Hassan Ugail	2022	Routledge
Vehicle Pollution Detection from Images Using Deep Learning	Srimanta Kundu; Ujjwal Maulik	Intelligence Enabled Research: DoSIER 2019	Siddhartha Bhattacharyya; Sushmita Mitra; Paramartha Dutta	1st ed. 2020	Springer Nature Singapore
Using Case Facts to Predict Penalty with Deep Learning	Yu Li; Tieke He; Ge Yan; Shu Zhang; Hui Wang	Data Science: 5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2019, Guilin, China, September 20–23, 2019, Proceedings, Part II	Rui Mao; Hongzhi Wang; Xiaolan Xie; Zeguang Lu	1st ed. 2019	Springer Nature Singapore
Classify Hyperspectral Images Using Deep Learning		Image Processing Toolbox™User's Guide	coll	2021	The MathWorks, Inc.
Classify Webcam Images Using Deep Learning		MATLAB Deep Learning Toolbox™ User's Guide	The MathWorks, Inc.	2020	The MathWorks, Inc.
Gender Classification from NIR Iris Images Using Deep Learning	Juan Tapia; Carlos Aravena	Deep Learning for Biometrics	Bir Bhanu; Ajay Kumar	1st ed. 2017	Springer International Publishing
Medicinal Plant Recognition from Leaf Images Using Deep Learning	Md. Ariful Hassan; Md. Sydul Islam; Md. Mehedi Hasan; Sumaita Binte Shorif; Md. Tarek Habib; Mohammad Shorif Uddin	Computer Vision and Machine Learning in Agriculture, Volume 2	Mohammad Shorif Uddin; Jagdish Chand Bansal	1st ed. 2022	Springer Nature Singapore
Road Network Extraction from Satellite Images Using Deep Learning	Yadav Maharaj; Jules-Raymond Tapamo	Communication and Intelligent Systems: Proceedings of ICCIS 2021	Harish Sharma; Vivek Shrivastava; Kusum Kumari Bharti; Lipo Wang	1st ed. 2022	Springer Nature Singapore
WMDeepConvNets Windmill Detection Using Deep Learning from Satellite Images	A. Mridula; Shashank Sharma	Data Science and Intelligent Applications: Proceedings of ICDSIA 2020	Ketan Kotecha; Vincenzo Piuri; Hetalkumar N. Shah; Rajan Patel	1st ed. 2021	Springer Nature Singapore
Emotion Analysis Using Deep Learning Methods	Bekir Aksoy; İrem Sayin	Trends in Data Engineering Methods for Intelligent Systems: Proceedings of the International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2020)	Jude Hemanth; Tuncay Yigit; Bogdan Patrut; Anastassia Angelopoulou	1st ed. 2021	Springer International Publishing
Deep Learning Methods		Supervised Machine Learning for Text Analysis in R	Emil Hvitfeldt; Julia Silge	2021	Routledge
Deep Learning Methods	Xihui Bian	Chemometric Methods in Analytical Spectroscopy Technology	Xiaoli Chu; Yue Huang; Yong-Huan Yun; Xihui Bian	1st ed. 2022	Springer Nature Singapore
Deep Learning Methods		Practical Synthetic Data Generation: Balancing Privacy and the Broad Availability of Data	Khaled El Emam, Lucy Mosquera, Richard Hoptroff	2020	O'Reilly Media
Deep learning methods		Python Artificial Intelligence Projects for Beginners: Get up and running with Artificial Intelligence using 8 smart and exciting AI applications	Joshua Eckroth	2018	Packt Publishing
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Showing 1 to 20 of 100 entries

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