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2. A Survey on Imparting Education Using Augmented Reality

Author

Masurkar, Sakshi, Jha, Rishu, Mali, Hemantkumar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Senjyu, Tomonobu, editor, So–In, Chakchai, editor, and Joshi, Amit, editor

Published
2024
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3. Performance Analysis for Trichoscopy and Trichogram Using Deep Learning and Image Processing—A Survey

Author

Jain, Divyanshu, Masurkar, Purva, Kakde, Shreyash, Khot, Mohammed Siddique, Waghmare, Aditya, Gohil, Unnati, Pawar, Rahul, Patel, Dhananjay, Patil, Pradeep, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Joshi, Amit, editor, Mahmud, Mufti, editor, Ragel, Roshan G., editor, and Karthik, S., editor

Published
2024
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4. 'TRICHOASSIST' Trichogram Hair and Scalp Feature Extraction and Analysis Using Image Processing

Author

Waghmare, Aditya, Khot, Mohammed Siddique, Kakde, Shreyash, Masurkar, Purva, Jain, Divyanshu, Pawar, Rahul, Gohil, Unnati, Patel, Dhananjay, Patil, Pradeep, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Joshi, Amit, editor, Mahmud, Mufti, editor, Ragel, Roshan G., editor, and Karthik, S., editor

Published
2024
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8. Design and Development of an Indexing Drill Jig for Currency Counting Machine

Author

Masurkar, Parth, Narkar, Vaishavi, Phanse, Shubham, Chaudhari, Amit, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Haddar, Mohamed, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Vasudevan, Hari, editor, Kottur, Vijaya Kumar N., editor, and Raina, Amool A., editor

Published
2023
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11. Payload Measurement Using Suspension System in Goods Carrier

Author

Mavali, Nikhil V., Tatale, Omkar V., Masurkar, Vighnesh V., Dake, Pradeep N., Shevade, Dhanashri S., Yadav, Shrikant K., Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, di Mare, Francesca, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Palani, I. A., editor, Sathiya, P., editor, and Palanisamy, D., editor

Published
2022
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12. Detection and Classification of Fetal Heart Rate (FHR)

Author

Haque, Emad, Gupta, Tanishka, Singh, Vinayak, Nene, Kaustubh, Masurkar, Akhil, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Sanyal, Goutam, editor, Travieso-González, Carlos M., editor, Awasthi, Shashank, editor, Pinto, Carla M. A., editor, and Purushothama, B. R., editor

Published
2022
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18. Enhanced Lightweight Model for Detection of Phishing URL Using Machine Learning

Author

Siddhesh Masurkar and Vipul Dalal

Subjects
Boosting (machine learning), business.industry, Computer science, computer.software_genre, Computer security, Phishing, Malware, The Internet, business, Set (psychology), computer, Private information retrieval, Personally identifiable information, Hacker
Abstract

Due to the increase in the use of the Internet and the advancement of technology, more people are browsing on the Internet. No need to mention that most people are not well aware of basic precautions, preventive measures that have to be taken while performing transactions over the net. This lack of knowledge among most people is well exploited by the phishers or attackers to acquire valuable private information from the user. Those security threats can cause user’s mobile or computer to be hacked by the remote person usually called a hacker by executing some malware in the computer or mobile when the user clicks on the links purposely sent to the user. The phisher or attacker or hackers use sophisticated technics to cheat the user or to make scam in the virtual world by creating a fake site which looks almost similar to the original one. Therefore, if proper attention is not provided while filing user credentials or clicking on unknown links, those the security of the user can be compromised, and its private information can be sent to the person who can take advantage of it. Phishing is new kind of an attack which is prevalent nowadays on the Internet to jeopardize privacy of the user and subsequently of an organization. Therefore, many works are going on to detect and identify the phishing sites, so user can be saved from entering his personal information and to prevent security attacks. Nut at the same time the way of designing phishing links is also evolving by improving content of the link in such way that the detection rate would below. This paper is presenting a detection system which gives emphasis on boosting algorithm. At the time, various other classifiers are used on same set of datasets to evaluate the performance of the Boosting algorithm. We implemented five classification algorithms and some unusual features from the URLs. The experimental results exhibit better accuracy and other parameters of the Boosting algorithm as compared to other traditional classifiers.

Published
2021

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