"Emotion Detection Using Deep Convolutional Neural Network [Bs Computer Science]"

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Book	Author(s)	Year	Publisher
Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection	Umberto Michelucci	1st ed.	Apress
Deep Convolutional Neural Network for The Prognosis of Diabetic Retinopathy	A. Shanthini; Gunasekaran Manogaran; G. Vadivu	1st ed. 2023	Springer Nature Singapore
Practical Convolutional Neural Networks: Implement advanced deep learning models using Python	Mohit Sewak; Rezaul Karim; Pradeep Pujari	2018	Packt Publishing - ebooks Account
Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras	Vaibhav Verdhan	1st ed.	Apress
Deep Neural Network Applications	Hasmik Osipyan; Bosede Iyiade Edwards; Adrian David Cheok	2022	Routledge
Network Intrusion Detection using Deep Learning: A Feature Learning Approach	Kwangjo Kim; Muhamad Erza Aminanto; Harry Chandra Tanuwidjaja	1st ed. 2018	Springer Nature Singapore
A Guide to Convolutional Neural Networks for Computer Vision	Salman Khan; Hossein Rahmani; Syed Afaq Ali Shah; Mohammed Bennamoun		Springer International Publishing
Neural network analysis using Simulnet	Edward J. Rzempoluck	1998	Springer
Deep neural network design for radar applications	Gurbuz, Sevgi Zubeyde		Institution of Engineering & Technology
Deep Neural Network Design for Radar Applications	Sevgi Zubeyde Gurbuz	2021	SciTech Publishing
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics	Le Lu; Xiaosong Wang; Gustavo Carneiro; Lin Yang	1st ed. 2019	Springer International Publishing
Deep Learning Projects Using TensorFlow 2: Neural Network Development with Python and Keras	Vinita Silaparasetty	1st ed.	Apress
Automated Deep Learning Using Neural Network Intelligence: Develop and Design PyTorch and TensorFlow Models Using Python	Ivan Gridin	1st ed.	Apress
Computer Network Simulation Using NS2	Ajit Kumar Nayak; Satyananda Champati Rai; Rajib Mall	2016	Routledge
Neural Network Data Analysis Using Simulnet™	Edward J. Rzempoluck	1998	Springer New York
Deep learning with PyTorch: a practical approach to building neural network models using PyTorch	Subramanian, Vishnu	2018	Packt Publishing.
Deep learning with PyTorch: a practical approach to building neural network models using PyTorch	Subramanian, Vishnu	2018	Packt Publishing
Guide to Convolutional Neural Networks: A Practical Application to Traffic-Sign Detection and Classification	Hamed Habibi Aghdam; Elnaz Jahani Heravi	1st ed. 2017	Springer International Publishing
BS 5839 - 2002 Fire Detection		December 30, 1999	BSI Standards
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
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Pothole Detection Using Deep Convolutional Neural Network	Ved Prakash; Sirisha Velampalli	Advances in Information and Communication: Proceedings of the 2021 Future of Information and Communication Conference (FICC), Volume 2	Kohei Arai	1st ed. 2021	Springer International Publishing
Emergency Vehicle Detection Using Deep Convolutional Neural Network	Samiul Haque; Shayla Sharmin; Kaushik Deb	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
Wild Animal Detection Using Deep Convolutional Neural Network	Gyanendra K. Verma; Pragya Gupta	Proceedings of 2nd International Conference on Computer Vision & Image Processing: CVIP 2017, Volume 2	Bidyut B. Chaudhuri; Mohan S. Kankanhalli; Balasubramanian Raman	1st ed. 2018	Springer Nature Singapore
Intracranial Hemorrhage Detection Using Deep Convolutional Neural Network	K. Thirunavukkarasu; Anmol Gupta; Satheesh Abimannan; Shahnawaz Khan	Innovations in Computer Science and Engineering: Proceedings of 8th ICICSE	H. S. Saini; Rishi Sayal; A. Govardhan; Rajkumar Buyya	1st ed. 2021	Springer Nature Singapore
9 Object Detection using Deep Convolutional Neural Network		Machine Learning Methods for Signal, Image and Speech Processing	Kantipudi MVV Prasad; Sheng-Lung Peng; Mamun Bin Ibne Reaz; Ana Maria Madureira; M. A. Jabbar	2021	River Publishers
Malaria Detection Using VGG19 and Deep Convolutional Neural Network	Gaurav Prasad; Angana Chakraborty; Ananya Banerjee	Internet of Things and Its Applications: Select Proceedings of ICIA 2020	Keshav Dahal; Debasis Giri; Sarmistha Neogy; Subrata Dutta; Sanjay Kumar	1st ed. 2022	Springer Nature Singapore
Malaria Detection Using Convolutional Neural Network	Khaled Almezhghwi	11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence - ICSCCW-2021	Rafik A. Aliev; Janusz Kacprzyk; Witold Pedrycz; Mo Jamshidi; Mustafa Babanli; Fahreddin M. Sadikoglu	1st ed. 2022	Springer International Publishing
Face Detection Using Convolutional Neural Network	Abhishek Pandey; Deepak Prasad; K. Kushwanth Reddy; K. Venkatesh; Ajay Chand; Vijay Nath	Microelectronics, Communication Systems, Machine Learning and Internet of Things: Select Proceedings of MCMI 2020	Vijay Nath; Jyotsna Kumar Mandal	1st ed. 2023	Springer Nature Singapore
Edge Detection Using Convolutional Neural Network	Ruohui Wang	Advances in Neural Networks – ISNN 2016: 13th International Symposium on Neural Networks, ISNN 2016, St. Petersburg, Russia, July 6-8, 2016, Proceedings	Long Cheng; Qingshan Liu; Andrey Ronzhin	1st ed. 2016	Springer International Publishing
Cancer Detection Using Convolutional Neural Network	Ishani Dabral; Maheep Singh; Krishan Kumar	Conference Proceedings of ICDLAIR2019	Meenakshi Tripathi; Sushant Upadhyaya	1st ed. 2021	Springer International Publishing
Malaria Detection Using Convolutional Neural Network	Pankaj Pundir; Shivam Aggarwal; Maroti Deshmukh	Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2020	Aboul Ella Hassanien; Roheet Bhatnagar; Ashraf Darwish	1st ed. 2021	Springer Nature Singapore
Dysarthria Detection Using Convolutional Neural Network	Pratibha Dumane; Bilal Hungund; Satishkumar Chavan	Techno-Societal 2020: Proceedings of the 3rd International Conference on Advanced Technologies for Societal Applications—Volume 1	Prashant M. Pawar; R. Balasubramaniam; Babruvahan P. Ronge; Santosh B. Salunkhe; Anup S. Vibhute; Bhuwaneshwari Melinamath	1st ed. 2021	Springer International Publishing
Pedestrian Detection with Deep Convolutional Neural Network	Xiaogang Chen; Pengxu Wei; Wei Ke; Qixiang Ye; Jianbin Jiao	Computer Vision - ACCV 2014 Workshops: Singapore, Singapore, November 1-2, 2014, Revised Selected Papers, Part I	C.V. Jawahar; Shiguang Shan	2015	Springer International Publishing
Deep Convolutional Neural Network for Fog Detection	Jun Zhang; Hui Lu; Yi Xia; Ting-Ting Han; Kai-Chao Miao; Ye-Qing Yao et al.	Intelligent Computing Theories and Application: 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part II	De-Shuang Huang; Kang-Hyun Jo; Xiao-Long Zhang	1st ed. 2018	Springer International Publishing
Emotion Recognition Using a Convolutional Neural Network	Ramon Zatarain-Cabada; Maria Lucia Barron-Estrada; Francisco González-Hernández; Hector Rodriguez-Rangel	Advances in Computational Intelligence: 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Enseneda, Mexico, October 23-28, 2017, Proceedings, Part II	Félix Castro; Sabino Miranda-Jiménez; Miguel González-Mendoza	1st ed. 2018	Springer International Publishing
Cataract Detection Using Deep Convolutional Neural Networks	Aida Jones; K. Abisheek; R. Dinesh Kumar; M. Madesh	Soft Computing and Signal Processing: Proceedings of 4th ICSCSP 2021	V. Sivakumar Reddy; V. Kamakshi Prasad; Jiacun Wang; K.T.V. Reddy	1st ed. 2022	Springer Nature Singapore
Skin Identification Using Deep Convolutional Neural Network	Mahdi Maktab Dar Oghaz; Vasileios Argyriou; Dorothy Monekosso; Paolo Remagnino	Advances in Visual Computing: 14th International Symposium on Visual Computing, ISVC 2019, Lake Tahoe, NV, USA, October 7–9, 2019, Proceedings, Part I	George Bebis; Richard Boyle; Bahram Parvin; Darko Koracin; Daniela Ushizima; Sek Chai; Shinjiro Sueda; Xin Lin; Aidong Lu; Daniel Thalmann; Chaoli Wang; Panpan Xu	1st ed. 2019	Springer International Publishing
Diagnosing Tuberculosis Using Deep Convolutional Neural Network	Mustapha Oloko-Oba; Serestina Viriri	Image and Signal Processing: 9th International Conference, ICISP 2020, Marrakesh, Morocco, June 4–6, 2020, Proceedings	Abderrahim El Moataz; Driss Mammass; Alamin Mansouri; Fathallah Nouboud	1st ed. 2020	Springer International Publishing
Video Based Deception Detection Using Deep Recurrent Convolutional Neural Network	Sushma Venkatesh; Raghavendra Ramachandra; Patrick Bours	Computer Vision and Image Processing: 4th International Conference, CVIP 2019, Jaipur, India, September 27–29, 2019, Revised Selected Papers, Part II	Neeta Nain; Santosh Kumar Vipparthi; Balasubramanian Raman	1st ed. 2020	Springer Nature Singapore
Diabetes Detection Using Deep Neural Network	Saumendra Kumar Mohapatra; Susmita Nanda; Mihir Narayan Mohanty	Soft Computing Systems: Second International Conference, ICSCS 2018, Kollam, India, April 19–20, 2018, Revised Selected Papers	Ivan Zelinka; Roman Senkerik; Ganapati Panda; Padma Suresh Lekshmi Kanthan	1st ed. 2018	Springer Nature Singapore
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