"A Hybrid Machine Learning Approach to Fabric Defect Detection and Classification"

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Book	Author(s)	Year	Publisher
Intrusion detection: a machine learning approach	Zhenwei Yu	2011	Imperial College Press;Distributed by World Scientific
A Machine-Learning Approach to Phishing Detection and Defense	I.S. Amiri; O.A. Akanbi and E. Fazeldehkordi	2015	Syngress
Empirical Approach to Machine Learning	Plamen P. Angelov; Xiaowei Gu	1st ed. 2019	Springer International Publishing
Machine learning, neural and statistical classification /	Michie, Donald.; Spiegelhalter, D. J.; Taylor, C. C.,	1994.	Prentice Hall,
Network Anomaly Detection: A Machine Learning Perspective	Dhruba Kumar Bhattacharyya; Jugal Kumar Kalita	2013	Routledge
Moving Objects Detection Using Machine Learning	Navneet Ghedia; Chandresh Vithalani; Ashish M. Kothari; Rohit M. Thanki	1st ed. 2022	Springer International Publishing
Kinesthetic Perception: A Machine Learning Approach	Subhasis Chaudhuri; Amit Bhardwaj	1st ed. 2018	Springer Nature Singapore
Biometric authentication: a machine learning approach /	Kung, S. Y.; Mak, M. W.; Lin, Shang-Hung,	[2005], ©2005.	Prentice Hall Professional Technical Reference,
Statistical Regression and Classification: From Linear Models to Machine Learning	Norman Matloff	2017	Routledge
Bioinformatics: the machine learning approach /	Baldi, Pierre.; Brunak, Søren.	©1998.	MIT Press,
Bioinformatics: the machine learning approach /	Baldi, Pierre.; Brunak, Søren.	[1998], ©1998.	MIT Press,
Bioinformatics: the machine learning approach /	Baldi, Pierre.; Brunak, Søren.	[2001], ©2001.	MIT Press,
Bioinformatics: the machine learning approach	Pierre Baldi	1998	MIT Press
Machine Learning for Beginners: The Ultimate Guide to Learn and Understand Machine Learning – A Practical Approach to Master Machine Learning to Improve and Increase Business Results	Coen, Anderson	2020
Network Intrusion Detection using Deep Learning: A Feature Learning Approach	Kwangjo Kim; Muhamad Erza Aminanto; Harry Chandra Tanuwidjaja	1st ed. 2018	Springer Nature Singapore
Machine Learning: An Artificial Intelligence Approach, Volume II (Machine Learning)	Ryszard S. Michalski; Jaime G. Carbonell; Tom M. Mitchell	January 1, 1986	Morgan Kaufmann
Facial Kinship Verification: A Machine Learning Approach	Haibin Yan; Jiwen Lu	1st ed. 2017	Springer Nature Singapore
Combinatorial Machine Learning: A Rough Set Approach	Mikhail Moshkov; Beata Zielosko	2011	Springer Berlin Heidelberg
Multi-Agent Machine Learning: A Reinforcement Approach	Howard M. Schwartz	2014	John Wiley & Sons
Thoughtful Machine Learning: A Test-Driven Approach	Kirk, Matthew	2014;2015	O'Reilly Media
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
A Hybrid Machine Learning Approach to Fabric Defect Detection and Classification	Swash Sami Mohammed; Hülya Gökalp Clarke	Electrical and Computer Engineering: First International Congress, ICECENG 2022, Virtual Event, February 9–12, 2022, Proceedings	Muhammet Nuri Seyman	1st ed. 2022	Springer International Publishing
Fabric defect detection		Applications of Computer Vision in Fashion and Textiles	Calvin Wong	2018	Woodhead Publishing
A Rough-Hybrid Approach to Software Defect Classification	Sheela Ramanna; Rajen Bhatt; Piotr Biernot	Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007	Aijun An; Jerzy Stefanowski; Sheela Ramanna; Cory Butz; Witold Pedrycz	2007	Springer Berlin Heidelberg
Fabric Defect Detection System	Tanjim Mahmud; Juel Sikder; Rana Jyoti Chakma; Jannat Fardoush	Intelligent Computing and Optimization: Proceedings of the 3rd International Conference on Intelligent Computing and Optimization 2020 (ICO 2020)	Pandian Vasant; Ivan Zelinka; Gerhard-Wilhelm Weber	1st ed. 2021	Springer International Publishing
Fabric Defect Detection Using Deep Learning Techniques	K. Gopalakrishnan; P. T. Vanathi	Ubiquitous Intelligent Systems: Proceedings of Second ICUIS 2022	P. Karuppusamy; Fausto Pedro García Márquez; Tu N. Nguyen	1st ed. 2022	Springer Nature Singapore
Machine Learning for Hybrid Detection	Sumeet Dua; Xian Du	Data Mining and Machine Learning in Cybersecurity	Sumeet Dua; Xian Du	2011	Routledge
Machine Learning System for Textile Fabric Defect Detection Using GLCM Technique	Shridevi Soma; Hattarki Pooja	Proceedings of Second International Conference on Advances in Computer Engineering and Communication Systems: ICACECS 2021	A. Brahmananda Reddy; B.V. Kiranmayee; Raghava Rao Mukkamala; K. Srujan Raju	1st ed. 2022	Springer Nature Singapore
Intrusion Detection: A Machine Learning Approach	Vipul Borhade; Aparna Nayak; R. Dakshayani	Advanced Computing Technologies and Applications: Proceedings of 2nd International Conference on Advanced Computing Technologies and Applications—ICACTA 2020	Hari Vasudevan; Antonis Michalas; Narendra Shekokar; Meera Narvekar	1st ed. 2020	Springer Nature Singapore
A New Machine Learning Approach to Fingerprint Classification	Yuan Yao; Gian Luca Marcialis; Massimiliano Pontil; Paolo Frasconi; Fabio Roli	AI*IA 2001: Advances in Artificial Intelligence: 7th Congress of the Italian Association for Artificial Intelligence, Bari, Italy, September 25-28, 2001. Proceedings	Floriana Esposito	2001	Springer Berlin Heidelberg
A Machine Learning Approach to Comment Toxicity Classification	Navoneel Chakrabarty	Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2019	Asit Kumar Das; Janmenjoy Nayak; Bighnaraj Naik; Soumen Kumar Pati; Danilo Pelusi	1st ed. 2020	Springer Nature Singapore
Hybrid Approach for Fall Detection Based on Machine Learning	Aythem Khairi Kareem; Khattab M. Ali Alheeti	New Trends in Information and Communications Technology Applications: 5th International Conference, NTICT 2021, Baghdad, Iraq, November 17–18, 2021, Proceedings	Abbas M. Al-Bakry; Safaa O. Al-Mamory; Mouayad A. Sahib; Loay E. George; Jaafar A. Aldhaibani; Haitham S. Hasan; George S. Oreku	1st ed. 2021	Springer International Publishing
An Intelligent Approach to Fabric Defect Detection in Textile Processes	M. Mufti; G. Vachtsevanos; L. Dorrity	Machine Vision for the Inspection of Natural Products	Mark Graves; Bruce Batchelor	2003	Springer London
Machine Learning Approach to Search Query Classification		Innovations in Supply Chain Management for Information Systems: Novel Approaches (Premier Reference Source)	Amanda Spink, Bernard J. Jansen, Isak Taksa, Bernard J. Jansen, Isak Taksa, Am Spink	2008	Information Science Reference
Hybrid Approach: Defect Closure	Gareth Morgan; Eric Rosenthal	Cardiac Catheterization for Congenital Heart Disease: From Fetal Life to Adulthood	Gianfranco Butera; Massimo Chessa; Andreas Eicken; John Thomson	2015	Springer Milan
Hybrid Approach: Defect Closure	Gareth Morgan; Eric Rosenthal	Cardiac Catheterization for Congenital Heart Disease: From Fetal Life to Adulthood	Gianfranco Butera; Massimo Chessa; Andreas Eicken; John Thomson	2nd ed. 2021	Springer International Publishing
Detection of DDOS Attacks Using Machine Learning Techniques: A Hybrid Approach	Datla Anurag Varma; Ravi Ashish; V. Venkata Sai Sandeep; B. Venkatesh; R. Kannadasan	ICT Systems and Sustainability: Proceedings of ICT4SD 2020, Volume 1	Milan Tuba; Shyam Akashe; Amit Joshi	1st ed. 2021	Springer Nature Singapore
A Hybrid Approach to Texture Classification	B. Vijayalakshmi; V. Subbiah Bharathi	Advances in Network Security and Applications: 4th International Conference, CNSA 2011, Chennai, India, July 15-17, 2011, Proceedings	David C. Wyld; Michal Wozniak; Nabendu Chaki; Natarajan Meghanathan; Dhinaharan Nagamalai	2011	Springer Berlin Heidelberg
Human Pose Detection: A Machine Learning Approach	Munindra Kakati; Parismita Sarma	Computational Vision and Bio-Inspired Computing: ICCVBIC 2019	S. Smys; João Manuel R. S. Tavares; Valentina Emilia Balas; Abdullah M. Iliyasu	1st ed. 2020	Springer International Publishing
Detection and Binary Classification of Spear-Phishing Emails in Organizations Using a Hybrid Machine Learning Approach	Popoola Favourite Akinwale; Hamid Jahankhani	Artificial Intelligence in Cyber Security: Impact and Implications: Security Challenges, Technical and Ethical Issues, Forensic Investigative Challenges	Reza Montasari; Hamid Jahankhani	1st ed. 2021	Springer International Publishing
A machine learning approach to damage detection of bridges	R.C. George	Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations: Proceedings of the Tenth International Conference on Bridge Maintenance, Safety and Management (IABMAS 2020), June 28-July 2, 2020, Sapporo, Japan	Hiroshi Yokota; Dan M. Frangopol	2021	Routledge
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