Cryptocurrency

Autor: Dr. Shubhangi DC, Dr. M.A Waheed, Qureshi, Ayesha Mohammadi, Dr. Basavaraj Gadgay

Despite the widespread interest in cryptocurrencies and the many studies into DLT, very little has been done to examine cryptocurrencies themselves. This paper presents a landscape of a subset of cryptocurrencies in order to give business and technic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fd83b05031fdd4eba56013f5577f22f8

A Machine Learning approach for Detecting Malicious URL using different algorithms and NLP techniques

Autor: M.A. Waheed, Baswaraj Gadgay, Shubhangi DC, Vishwanath P, Qurat Ul Ain

Publikováno v: 2022 IEEE North Karnataka Subsection Flagship International Conference (NKCon).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c7ed8608f6de2ac42df4dfb6b2a3bc4f
https://doi.org/10.1109/nkcon56289.2022.10126798

Scrutiny For Cybernated Embezzlement Of Credit Card In Modern Era Based On Machine Learning Using Smote & AdaBoost

Autor: Shubhangi Dc, Basawaraj Gadgay, Amtul Fatima Heeba, M.A Waheed

Publikováno v: 2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2a1864fcc59acc83ffdaa5e605efa310
https://doi.org/10.1109/icetems56252.2022.10093646

A Smart Solution for Cancer Patient Monitoring Based on Internet of Medical Things Using Machine Learning Approach.

Autor: Sriram A; IT Department, Anurag University, Hyderabad, India., Sekhar Reddy G; IT Department, Anurag University, Hyderabad, India., Anand Babu GL; Department of Information Technology, Anurag University, Hyderabad, India., Bachanna P; Department of ECE, Institute of Aeronautical Engineering, Dundigal, Hyderabad, India., Gurpreet SC; Department of CSE, GITAM Institute of Technology, GITAM (Deemed to be University), Visakhapatnam, AP, India., Moyal V; SVKM's Institute of Technology, Dhule, MS 424001, India., Shubhangi DC; Department of Computer Science and Engineering, Visvesvaraya Technological University (VTU), Center for PG Studies, Kalaburagi 585105, Karnataka, India., Sahu AK; Bharat Institute of Engineering and Technology, Hyderabad, Telangana 501510, India., Bhonsle D; Shri Shankaracharya Technical Campus, Bhilai, Chhattisgarh 490020, India., Madana Mohana R; Department of Computer Science and Engineering, Bharat Institute of Engineering and Technology, Ibrahimpatnam, Hyderabad 501510, Telangana, India., Srihari K; Snsct, Cse, Coimbatore, India., Chamato FA; Department of Chemical Engineering, College of Biological and Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia.

Publikováno v: Evidence-based complementary and alternative medicine : eCAM [Evid Based Complement Alternat Med] 2022 Jun 24; Vol. 2022, pp. 2056807. Date of Electronic Publication: 2022 Jun 24 (Print Publication: 2022).

A novel hybridized feature selection strategy for the effective prediction of glaucoma in retinal fundus images.

Autor: Singh, Law Kumar, Khanna, Munish, Thawkar, Shankar, Singh, Rekha

Publikováno v: Multimedia Tools & Applications; May2024, Vol. 83 Issue 15, p46087-46159, 73p