"Smart Attendance System Using Deep Transfer Learning"

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Book	Author(s)	Year	Publisher
Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras	Dipanjan Sarkar; Raghav Bali; Tamoghna Ghosh	2018	Packt Publishing
Hands-On Transfer Learning with Python Implement Advanced Deep Learning and Neural Network Models Using TensorFlow and Keras	Dipanjan Sarkar, Raghav Bali, Tamoghna Ghosh	2018	Packt 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
Neural networks with R: smart models using CNN, RNN, deep learning, and artificial intelligence principles /	Ciaburro, Giuseppe,; Venkateswaran, Balaji,		Packt Publishing Ltd
Network Intrusion Detection using Deep Learning: A Feature Learning Approach	Kwangjo Kim; Muhamad Erza Aminanto; Harry Chandra Tanuwidjaja	1st ed. 2018	Springer Nature Singapore
Quantum Computing: Physics, Blockchains, And Deep Learning Smart Networks:	Melanie Swan, Renato P. dos Santos, Frank Witte	2020	World Scientific
Malware Analysis Using Artificial Intelligence and Deep Learning	Mark Stamp; Mamoun Alazab; Andrii Shalaginov	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
Transfer Learning	Qiang Yang; Yu Zhang; Wenyuan Dai; Sinno Jialin Pan	2020-02	Cambridge University Press
Smart Learning with Educational Robotics: Using Robots to Scaffold Learning Outcomes	Linda Daniela	1st ed. 2019	Springer International Publishing
Brain Tumor MRI Image Segmentation Using Deep Learning Techniques	Jyotismita Chaki	2021	Academic Press
Smart Agriculture: Emerging Pedagogies of Deep Learning, Machine Learning and Internet of Things	Govind Singh Patel; Amrita Rai; Nripendra Narayan Das; R.P. Singh	2021	Routledge
Deep learning /	Goodfellow, Ian,; Bengio, Yoshua,; Courville, Aaron,		MIT Press
Deep Learning	John D. Kelleher	2019	MIT Press,
Deep Learning	Ian Goodfellow, Yoshua Bengio, Aaron Courville	2017	MIT
Deep South: Travel Smart	Carol Thalimer; Dan Thalimer	April 1998	John Muir Pubns
Sediment transfer from shelf to deep water: revisiting the delivery system	Roger M. Slatt; Carlos Zavala	2011	Co-published by the American Association of Petroleum Geologists and SEPM
Sediment transfer from shelf to deep water: revisiting the delivery system	Slatt, Roger M.; Zavala, Carlos	2012	American Association of Petroleum Geologists
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
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Smart Attendance System Using Deep Transfer Learning	V. Umme Kulsum Faiza; M. Samreen Taj; H. Shakira Banu; K. O. Mohammed Aarif; G. Shajedha Parveen; K. Samira Thahsin	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
Smart Attendance System Using Deep Learning Convolutional Neural Network	I. Pooja; J. Gaurav; C. R. Yamuna Devi; H. L. Aravindha; M. Sowmya	Cyber-physical Systems and Digital Twins: Proceedings of the 16th International Conference on Remote Engineering and Virtual Instrumentation	Michael E. Auer; Kalyan Ram B.	1st ed. 2020	Springer International Publishing
Deep Learning-Based Smart Attendance Monitoring System	Rohit Halder; Rajdeep Chatterjee; Debarshi Kumar Sanyal; Pradeep Kumar Mallick	Proceedings of the Global AI Congress 2019	Jyotsna Kumar Mandal; Somnath Mukhopadhyay	1st ed. 2020	Springer Nature Singapore
Smart Attendance System Using Machine Learning Algorithms	M. Nitin Chowdary; V. Sujana; K. Satvika; K. Lakshmi Srinivas; P. S. Suhasini	Machine Learning and Autonomous Systems: Proceedings of ICMLAS 2021	Joy Iong-Zong Chen; Haoxiang Wang; Ke-Lin Du; V. Suma	1st ed. 2022	Springer Nature Singapore
Automatic Attendance System Using Deep Learning Framework	Pinaki Ranjan Sarkar; Deepak Mishra; Gorthi R. K. Sai Subhramanyam	Machine Intelligence and Signal Analysis	M. Tanveer; Ram Bilas Pachori	1st ed. 2019	Springer Nature Singapore
Smart attendance system	Gaurav Kumar Singh; Grandhi Abhisar; Vaishali Ingale; Prashant Kumar Singh; Jatin Kumar	Application of Communication Computational Intelligence and Learning: Proceeding of National Conference on Communication, Computational Intelligence and Learning (NCCC IL 2022), January 12th–13th Pune, India	Sangeeta Jadhav; Rahul Desai; Ashwini Sapkal	2022	Routledge
Deep Learning-Based Paperless Attendance Monitoring System	Pallavi Derkar; Jitesh Jha; Mayuresh Mohite; Rushikesh Borse	Advances in Signal and Data Processing : Select Proceedings of ICSDP 2019	S. N. Merchant; Krishna Warhade; Debashis Adhikari	1st ed. 2021	Springer Nature Singapore
Automatic Attendance System Using Face Recognition with Deep Learning Algorithm	Ibrahim Al-Amoudi; Rosdiyana Samad; Nor Rul Hasma Abdullah; Mahfuzah Mustafa; Dwi Pebrianti	Proceedings of the 12th National Technical Seminar on Unmanned System Technology 2020: NUSYS’20	Khalid Isa; Zainah Md. Zain; Rosmiwati Mohd-Mokhtar; Maziyah Mat Noh; Zool H. Ismail; Ahmad Anas Yusof; Ahmad Faisal Mohamad Ayob; Syed Saad Azhar Ali; Herdawatie Abdul Kadir	1st ed. 2022	Springer Nature Singapore
Automated Attendance Marking System Using Computer Vision and Deep Learning	R. Kishor Kumar; C. Ganesh Prasad; Reshma Upadhyaya; Rahul A. Aithal	ICDSMLA 2020: Proceedings of the 2nd International Conference on Data Science, Machine Learning and Applications	Amit Kumar; Sabrina Senatore; Vinit Kumar Gunjan	1st ed. 2022	Springer Nature Singapore
Implementation of Real-Time Automated Attendance System Using Deep Learning	Hafiz Mahdi Hasan; Md. Mahfujur Rahman; Md. Al-Amin Khan; Tamara Islam Meghla; Shamim Al Mamun; M. Shamim Kaiser	Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering: TCCE 2021	M. Shamim Kaiser; Kanad Ray; Anirban Bandyopadhyay; Kavikumar Jacob; Kek Sie Long	1st ed. 2022	Springer Nature Singapore
Start Deep Learning Faster Using Transfer Learning		MATLAB Deep Learning Toolbox™ User's Guide	The MathWorks, Inc.	2020	The MathWorks, Inc.
Deep Learning-Based Smart Surveillance System	G. Sreenivasulu; N. Thulasi Chitra; S. Viswanadha Raju; Venu Madhav Kuthadi	Smart Trends in Computing and Communications: Proceedings of SmartCom 2022	Yu-Dong Zhang; Tomonobu Senjyu; Chakchai So-In; Amit Joshi	1st ed. 2023	Springer Nature Singapore
Deep Transfer Learning	Tariq M. Arif	Introduction to Deep Learning for Engineers: Using Python and Google Cloud Platform	Tariq M. Arif		Springer International Publishing
Deep Transfer Learning		Introduction to Deep Learning for Engineers: Using Python and Google Cloud Platform	Tariq M Arif	2020	Morgan & Claypool
Developing a Smart PACS: CBIR System Using Deep Learning	Michela Gravina; Stefano Marrone; Gabriele Piantadosi; Vincenzo Moscato; Carlo Sansone	Pattern Recognition. ICPR International Workshops and Challenges: Virtual Event, January 10–15, 2021, Proceedings, Part II	Alberto Del Bimbo; Rita Cucchiara; Stan Sclaroff; Giovanni Maria Farinella; Tao Mei; Marco Bertini; Hugo Jair Escalante; Roberto Vezzani	1st ed. 2021	Springer International Publishing
Smart Crop Protection System from Birds Using Deep Learning	Devika Sunil; R. Arjun; Arjun Ashokan; Firdous Zakir; Nithin Prince John	Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2020, Volume 2	Aboul Ella Hassanien; Siddhartha Bhattacharyya; Satyajit Chakrabati; Abhishek Bhattacharya; Soumi Dutta	1st ed. 2021	Springer Nature Singapore
Neural Style Transfer Using Deep Learning		Image Processing Toolbox™User's Guide	coll	2021	The MathWorks, Inc.
Neural Style Transfer Using Deep Learning		MATLAB Image Processing Toolbox™ User's Guide	The MathWorks, Inc.	2020	The MathWorks, Inc.
Neural Style Transfer Using Deep Learning		MATLAB Deep Learning Toolbox™ User's Guide	The MathWorks, Inc.	2020	The MathWorks, Inc.
22 Smart Attendance System Using RFID and Firebase		Let's Get IoT-fied!: 30 IoT Projects for All Levels	Shriram K. Vasudevan, Anudeep Juluru, T.S. Murugesh	2022	CRC Press
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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