Zobrazeno 1 - 10
of 568
pro vyhledávání: '"Praveen Kumar Reddy"'
An explainable transfer learning framework for multi-classification of lung diseases in chest X-rays
Autor:
Aryan Nikul Patel, Ramalingam Murugan, Gautam Srivastava, Praveen Kumar Reddy Maddikunta, Gokul Yenduri, Thippa Reddy Gadekallu, Rajeswari Chengoden
Publikováno v:
Alexandria Engineering Journal, Vol 98, Iss , Pp 328-343 (2024)
In the field of medical imaging, the increasing demand for advanced computer-aided diagnosis systems is crucial in radiography. Accurate identification of various diseases, such as COVID-19, pneumonia, tuberculosis, and pulmonary lung nodules, holds
Externí odkaz:
https://doaj.org/article/e23edc9bb26a46bbb6ab3242a4532b15
Autor:
Gokul Yenduri, M. Ramalingam, G. Chemmalar Selvi, Y. Supriya, Gautam Srivastava, Praveen Kumar Reddy Maddikunta, G. Deepti Raj, Rutvij H. Jhaveri, B. Prabadevi, Weizheng Wang, Athanasios V. Vasilakos, Thippa Reddy Gadekallu
Publikováno v:
IEEE Access, Vol 12, Pp 54608-54649 (2024)
The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the domain of natural language processing, which is propelling us toward the development of machines that can understand and communicate using language in a manner that
Externí odkaz:
https://doaj.org/article/96750fcc651d4aab80220ee584b2ca02
Autor:
Nancy Victor, Praveen Kumar Reddy Maddikunta, Delphin Raj Kesari Mary, Ramalingam Murugan, Rajeswari Chengoden, Thippa Reddy Gadekallu, Nitin Rakesh, Yaodong Zhu, Jeongyeup Paek
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5920-5945 (2024)
Agriculture can be regarded as the backbone of human civilization. As technology evolved, the synergy between agriculture and remote sensing has brought about a paradigm shift, thereby entirely revolutionizing the traditional agricultural practices.
Externí odkaz:
https://doaj.org/article/858748d50f594b1c81ffb634c1025ba4
Publikováno v:
IEEE Access, Vol 12, Pp 18913-18930 (2024)
The Internet of Things (IoT) is being the key strategic enabler for realizing the vision of smart cities by allowing everyday objects to be connected through wireless sensor networks (WSNs). In large-scale WSNs, scalability, versatility, path perform
Externí odkaz:
https://doaj.org/article/8f81e1d073854097b31b5d9f2f2e0321
Autor:
Rawia Ahmed, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Naif Khalaf Alshammari, Fatma Ali Hendaoui
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
The rapid spread of COVID-19 pandemic across the world has not only disturbed the global economy but also raised the demand for accurate disease detection models. Although many studies have proposed effective solutions for the early detection and pre
Externí odkaz:
https://doaj.org/article/51035eca58954339a68e44551e17dd37
Publikováno v:
International Journal of Cognitive Computing in Engineering, Vol 4, Iss , Pp 220-239 (2023)
Healthcare is an emerging sector with the integration of emerging technologies aiming to improve Quality of Life of an individual through various medical services. Most of the healthcare services work with sensitive information of patients either col
Externí odkaz:
https://doaj.org/article/e2e0d6a520d94404a011f36bf9e0d00f
Autor:
M. Ramalingam, G. Chemmalar Selvi, Nancy Victor, Rajeswari Chengoden, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Duehee Lee, Md. Jalil Piran, Neelu Khare, Gokul Yenduri, Thippa Reddy Gadekallu
Publikováno v:
IEEE Access, Vol 11, Pp 107309-107330 (2023)
Blockchain (BC) and Computer Vision (CV) are the two emerging fields with the potential to transform various sectors. BC can offer decentralized and secure data storage, while CV allows machines to learn and understand visual data. The integration of
Externí odkaz:
https://doaj.org/article/94b219dac44c4810893859cb51c7e7dc
Autor:
P. Anilkumar, P. Venugopal, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Amal Al-Rasheed, Mohamed Abbas, Ben Othman Soufiene
Publikováno v:
IEEE Access, Vol 11, Pp 106688-106705 (2023)
Semantic segmentation is a significant task in the field of Remote Sensing and Computer Vision. DeepLabV3+ is a convolutional neural network architecture that excels in the task of semantic segmentation, which involves assigning a class label to each
Externí odkaz:
https://doaj.org/article/40fb090ac80c40efb6e16e3755369fb2
Autor:
Rajeswari Chengoden, Nancy Victor, Thien Huynh-The, Gokul Yenduri, Rutvij H. Jhaveri, Mamoun Alazab, Sweta Bhattacharya, Pawan Hegde, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu
Publikováno v:
IEEE Access, Vol 11, Pp 12765-12795 (2023)
The rapid progress in digitalization and automation have led to an accelerated growth in healthcare, generating novel models that are creating new channels for rendering treatment at reduced cost. The Metaverse is an emerging technology in the digita
Externí odkaz:
https://doaj.org/article/46f1f7310ac7414d9552dca550253208
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 3757 (2023)
Recent advancement in IoT technology has boosted the healthcare domain with enormous usage of IoT devices to provide elevated services to patients with chronic disorders on a real-time basis by the incorporation of IoT sensors on patients’ bodies.
Externí odkaz:
https://doaj.org/article/dbfc390376204222a540bc0023e8eb7f