Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Maheshkumar H. Kolekar"'
Autor:
Agnesh Chandra Yadav, Maheshkumar H. Kolekar, Yash Sonawane, Gargi Kadam, Sanika Tiwarekar, Dhananjay R. Kalbande
Publikováno v:
IEEE Access, Vol 12, Pp 152430-152443 (2024)
The advancement of emerging technologies is fundamentally reshaping the landscape of brain tumor diagnosis and treatment planning, with a notable emphasis on precise segmentation techniques to enable early intervention. Traditional manual segmentatio
Externí odkaz:
https://doaj.org/article/91f73bb3a463447eaeb564e49299e551
Publikováno v:
IEEE Access, Vol 12, Pp 43874-43888 (2024)
Deraining of images plays a pivotal role in computer vision by addressing the challenges posed by rain, enhancing visibility, and refining image quality by eliminating rain streaks. Traditional methods often fall short of effectively handling intrica
Externí odkaz:
https://doaj.org/article/80b12746dbfa4ac68ba06bddb56def20
Publikováno v:
IEEE Access, Vol 11, Pp 124951-124961 (2023)
Detecting traffic violations is essential for improving road safety, ensuring rule compliance, and maintaining smooth traffic flow. It also aids in holding violators accountable and supports data-driven decision-making for infrastructure enhancements
Externí odkaz:
https://doaj.org/article/6494bfbfd7c146fd8215264529b6c2d7
Publikováno v:
International Journal of Information Management Data Insights, Vol 3, Iss 1, Pp 100142- (2023)
The discovery of several machine learning and deep learning techniques has paved the way to extend the reach of humans in various real-world applications. Classical machine learning algorithms assume that training, validation, and testing data come f
Externí odkaz:
https://doaj.org/article/e4e7e8b4bfca43caa01fa73359fea3cb
Autor:
Abhisek Ray, Maheshkumar H. Kolekar
Publikováno v:
Machine Learning Algorithms for Signal and Image Processing. :19-36
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67c05cd93bf237635382dd495c3623a1
https://doi.org/10.1002/9781119861850.ch2
https://doi.org/10.1002/9781119861850.ch2
Publikováno v:
IRBM. 43:325-332
Objective In cardiac patient-care, compression of long-term ECG data is essential to minimize the data storage requirement and transmission cost. Hence, this paper presents a novel electrocardiogram data compression technique which utilizes modified
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a3392a428718b6568afbce344a4f74b
https://doi.org/10.1016/j.irbm.2021.10.001
https://doi.org/10.1016/j.irbm.2021.10.001
Autor:
Nazia Aslam, Maheshkumar H Kolekar
Publikováno v:
Multimedia Tools and Applications. 81:42457-42482
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e294a3aa8611e9103b95a98cd2518101
https://doi.org/10.1007/s11042-022-13496-6
https://doi.org/10.1007/s11042-022-13496-6
Publikováno v:
IRBM. 43:217-228
Objective: Globally, cardiovascular diseases (CVDs) are one of the most leading causes of death. In medical screening and diagnostic procedures of CVDs, electrocardiogram (ECG) signals are widely used. Early detection of CVDs requires acquisition of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17baf27887e68ed20bb5723cca76b97e
https://doi.org/10.1016/j.irbm.2021.06.007
https://doi.org/10.1016/j.irbm.2021.06.007
Autor:
Nazia Aslam, Maheshkumar H. Kolekar
Publikováno v:
The Visual Computer.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a81704ccd52b6d4153d2d0f31696cb46
https://doi.org/10.1007/s00371-023-02882-2
https://doi.org/10.1007/s00371-023-02882-2
Autor:
Nazia Aslam, Maheshkumar H Kolekar
Publikováno v:
2023 IEEE 8th International Conference for Convergence in Technology (I2CT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2087379287706250a88ae47fd91e923d
https://doi.org/10.1109/i2ct57861.2023.10126296
https://doi.org/10.1109/i2ct57861.2023.10126296