"Real-Time Soybean Crop Insect Classification Using Customized Deep Learning Models"

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Book	Author(s)	Year	Publisher
Machine Learning and Deep Learning in Real-Time Applications	Paawan Sharma, Kamal Kant Hiran, Gaurav Meena, Mehul Mahrishi	2020	Engineering Science Reference
Concepts and Real-Time Applications of Deep Learning	Smriti Srivastava; Manju Khari; Ruben Gonzalez Crespo; Gopal Chaudhary; Parul Arora	1st ed. 2021	Springer International Publishing
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
Practical Convolutional Neural Networks: Implement advanced deep learning models using Python	Mohit Sewak; Rezaul Karim; Pradeep Pujari	2018	Packt Publishing - ebooks Account
Java Deep Learning Projects: Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs	MD Rezaul Karim	2018	Packt Publishing
Java Deep Learning Projects - Implement 10 Real-World Deep Learning Applications Using Deeplearning4j and Open Source APIs.	Rezaul Karim	2018	Packt
Heat-unit calculations in cotton crop and insect models	K. E. Fry	1983	Agricultural Research Service (Western Region), U.S. Dept. of Agriculture;Available from the Cotton Research Center
Advanced Analytics and Deep Learning Models	Shaveta Malik; Amit Kumar Tyagi; Archana Mire	2022	John Wiley & Sons
Deep Learning Models for Medical Imaging	KC Santosh; Nibaran Das and Swarnendu Ghosh	2021	Academic Press
Inside Deep Learning: Math, Algorithms, Models	Edward Raff	2022	Manning Publications
The TensorFlow Workshop: A hands-on guide to building deep learning models from scratch using real-world datasets	Matthew Moocarme	2021	Packt Publishing - ebooks Account
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,
Real-Time Object Measurement and Classification	Anil K. Jain	1988	Springer Berlin Heidelberg
Automated Deep Learning Using Neural Network Intelligence: Develop and Design PyTorch and TensorFlow Models Using Python	Ivan Gridin	1st ed.	Apress
Java Deep LearningCookbook - Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j.	Rahul Raj	2020	Packt
Multi-faceted Deep Learning: Models and Data	Jenny Benois-Pineau; Akka Zemmari	1st ed. 2021	Springer International Publishing
Inside Deep Learning: Math, Algorithms, Models [MEAP]	Edward Raff	2020	Manning Publications
CROP CIRCLE CLASSIFICATION.	Patrick T. R. Palgrave-Moore	1991	Elvery Dowers
Deep Learning for Hyperspectral Image Analysis and Classification	Linmi Tao; Atif Mughees	1st ed. 2021	Springer Nature Singapore
Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch	Nikhil Ketkar; Jojo Moolayil	2nd ed.	Apress
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Real-Time Soybean Crop Insect Classification Using Customized Deep Learning Models	Vivek Tiwari; Himanshu Patel; Ritvik Muttreja; Mayank Goyal; Muneendra Ojha; Shailendra Gupta et al.	Data Management, Analytics and Innovation: Proceedings of ICDMAI 2021, Volume 1	Neha Sharma; Amlan Chakrabarti; Valentina Emilia Balas; Alfred M. Bruckstein	1st ed. 2021	Springer Nature Singapore
Real-Time Traffic Sign Recognition and Classification Using Deep Learning	Ilaiah Kavati; E. Suresh Babu; Ramalingaswamy Cheruku	Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020)	Ajith Abraham; Yukio Ohsawa; Niketa Gandhi; M.A. Jabbar; Abdelkrim Haqiq; Seán McLoone; Biju Issac	1st ed. 2021	Springer International Publishing
Road Type Classification Using Acoustic Signals: Deep Learning Models and Real-Time Implementation	Giovanni Pepe; Leonardo Gabrielli; Emanuele Principi; Stefano Squartini; Luca Cattani	Progresses in Artificial Intelligence and Neural Systems	Anna Esposito; Marcos Faundez-Zanuy; Francesco Carlo Morabito; Eros Pasero	1st ed. 2021	Springer Nature Singapore
Soybean Crop Non-beneficial Insect Identification Using Mask RCNN	Vivek Tiwari; Shailendra Gupta; Priyadarshini Roy; Chinky Karda; Shalini Agrawal; Manorama Singh Rathore et al.	Information and Communication Technology for Competitive Strategies (ICTCS 2020): ICT: Applications and Social Interfaces	Amit Joshi; Mufti Mahmud; Roshan G. Ragel; Nileshsingh V. Thakur	1st ed. 2022	Springer Nature Singapore
Diabetes Classification Using Machine Learning and Deep Learning Models	Lokesh Malviya; Sandip Mal; Praveen Lalwani; Jasroop Singh Chadha	Machine Vision and Augmented Intelligence—Theory and Applications: Select Proceedings of MAI 2021	Manish Kumar Bajpai; Koushlendra Kumar Singh; George Giakos	1st ed. 2021	Springer Nature Singapore
Tuberculosis Classification Using Pre-trained Deep Learning Models	G. Seshu Babu; T. K. Sachin Saj; V. Sowmya; K. P. Soman	Advances in Automation, Signal Processing, Instrumentation, and Control: Select Proceedings of i-CASIC 2020	Venkata Lakshmi Narayana Komanapalli; N. Sivakumaran; Santoshkumar Hampannavar	1st ed. 2021	Springer Nature Singapore
Classification of Lung Diseases Using Deep Learning Models	Matthew Zak; Adam Krzyżak	Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part III	Valeria V. Krzhizhanovskaya; Gábor Závodszky; Michael H. Lees; Jack J. Dongarra; Peter M. A. Sloot; Sérgio Brissos; João Teixeira	1st ed. 2020	Springer International Publishing
Deep Learning-Based Real-Time Object Classification and Recognition Using Supervised Learning Approach	J. Harikrishna; Ch. Rupa; R. Gireesh	Sentimental Analysis and Deep Learning: Proceedings of ICSADL 2021	Subarna Shakya; Valentina Emilia Balas; Sinchai Kamolphiwong; Ke-Lin Du	1st ed. 2022	Springer Nature Singapore
Deploying Deep Learning Models for Various Real-Time Applications Using Keras	D. Sumathi; Kumarraju Alluri	Advanced Deep Learning for Engineers and Scientists: A Practical Approach	Kolla Bhanu Prakash; Ramani Kannan; S.Albert Alexander; G. R. Kanagachidambaresan	1st ed. 2021	Springer International Publishing
Sequence Classification Using Deep Learning		MATLAB Deep Learning Toolbox™ User's Guide	The MathWorks, Inc.	2020	The MathWorks, Inc.
Image classification using deep learning		Deep Learning with PyTorch 1. x: Implement deep learning techniques and neural network architecture variants using Python, 2nd Edition	Laura Mitchell, Sri. Yogesh K., Vishnu Subramanian	2019	Packt Publishing
Image classification using deep learning		Deep learning with PyTorch: a practical approach to building neural network models using PyTorch	Subramanian, Vishnu	2018	Packt Publishing
Image classification using deep learning		Deep Learning with PyTorch	Vishnu Subramanian	2018	Packt Publishing
Fruit Classification Using Deep Learning	Jinu Lilly Joseph; Veena A. Kumar; Santhosh P. Mathew	Innovations in Electrical and Electronic Engineering: Proceedings of ICEEE 2021	Saad Mekhilef; Margarita Favorskaya; R. K. Pandey; Rabindra Nath Shaw	1st ed. 2021	Springer Nature Singapore
Crop Classification Using Machine Learning Algorithm	Pravalika Garipelly; Divya Bujarampet; Rambabu Palaka	Recent Developments in Sustainable Infrastructure (ICRDSI-2020)—GEO-TRA-ENV-WRM: Conference Proceedings from ICRDSI-2020 Vol. 2	B. B. Das; Hiroshan Hettiarachchi; Prasanta Kumar Sahu; Satyajeet Nanda	1st ed. 2022	Springer Nature Singapore
Real Time Static Gesture Detection Using Deep Learning	Kalpdrum Passi; Sandipgiri Goswami	Big Data Analytics: 7th International Conference, BDA 2019, Ahmedabad, India, December 17–20, 2019, Proceedings	Sanjay Madria; Philippe Fournier-Viger; Sanjay Chaudhary; P. Krishna Reddy	1st ed. 2019	Springer International Publishing
Real-Time Facial Emotion Recognition Using Deep Learning	Shruti Chand; Apoorva Singh; Ria Bhatia; Ishween Kaur; K. R. Seeja	Intelligent Computing and Communication Systems	Brahmjit Singh; Carlos A. Coello Coello; Poonam Jindal; Pankaj Verma	1st ed. 2021	Springer Nature Singapore
Real-Time Drone Detection Using Deep Learning Approach	Manjia Wu; Weige Xie; Xiufang Shi; Panyu Shao; Zhiguo Shi	Machine Learning and Intelligent Communications: Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings	Limin Meng; Yan Zhang	1st ed. 2018	Springer International Publishing
Crop Classification from UAV-Based Multi-spectral Images Using Deep Learning	B. Sudarshan Rao; Manjit Hota; Uttam Kumar	Computer Vision and Image Processing: 5th International Conference, CVIP 2020, Prayagraj, India, December 4-6, 2020, Revised Selected Papers, Part I	Satish Kumar Singh; Partha Roy; Balasubramanian Raman; P. Nagabhushan	1st ed. 2021	Springer Nature Singapore
Real-Time Deep Learning Pedestrians Classification on a Micro-Controller	Zhaoyang Huang	Advances in Artificial Intelligence: 31st Canadian Conference on Artificial Intelligence, Canadian AI 2018, Toronto, ON, Canada, May 8–11, 2018, Proceedings	Ebrahim Bagheri; Jackie C.K. Cheung	1st ed. 2018	Springer International Publishing
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