Zobrazeno 1 - 10
of 1 679
pro vyhledávání: '"Kuppan, A."'
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-12 (2024)
Abstract Wine industry faces significant sustainability challenges in the wake of climate change. Life cycle assessments for carbon footprint in wineries suggest that the conventional farming exhibits higher values of 0.06–3.0 kg CO2-eq bottle–1
Externí odkaz:
https://doaj.org/article/2658c3809523419b81184143b244cb3d
Publikováno v:
Journal of Orthopaedic Diseases and Traumatology, Vol 7, Iss 1, Pp 35-39 (2024)
Context: Plantar fasciitis is one of the most typical causes of heel pain, affecting approximately 10% of the general population. Standard treatment for plantar fasciitis is conservative; however, approximately 10% of patients fail to respond. The ra
Externí odkaz:
https://doaj.org/article/f43b2c9049c14e318dd65967b2fadbac
Autor:
Narendra Kuppan, Midhila Padman, Manjushree Mahadeva, Subramani Srinivasan, Raajasubramanian Devarajan
Publikováno v:
Waste Management Bulletin, Vol 2, Iss 3, Pp 154-171 (2024)
Bioremediation, an advanced and environmentally sustainable technology, utilizes biological microorganisms to mitigate pollution. This review combines insights from two perspectives: one focusing on the mechanisms, applications, and types of bioremed
Externí odkaz:
https://doaj.org/article/5704451e5c844daeab5228153cac2560
Autor:
Sarma Rajeev Kumar, Einstein Mariya David, Gangigere Jagadish Pavithra, Gopalakrishnan Sajith Kumar, Kuppan Lesharadevi, Selvaraj Akshaya, Chavadi Basavaraddi, Gopal Navyashree, Panakanahalli Shivaramu Arpitha, Padmanabhan Sreedevi, Khan Zainuddin, Saiyyeda Firdous, Bondalakunta Ravindra Babu, Muralidhar Udagatti Prashanth, Ganesan Ravikumar, Palabhanvi Basavaraj, Sandeep Kumar Chavana, Vinod Munisanjeeviah Lakshmi Devi Kumar, Theivasigamani Parthasarathi, Ezhilkani Subbian
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionMore than half of the world’s population consumes rice as their primary food. The majority of rice production is concentrated in Asia, with the top 10 rice-growing countries accounting for 84% of the world’s total rice cultivation. Ho
Externí odkaz:
https://doaj.org/article/bd2189974af04c73a615ed444f9ded2a
Publikováno v:
In Energy Storage Materials November 2024 73
Autor:
Koonce, Nathan A., Mathew, Ammu, Popescu, Ioana-Mihaela, Davis, Kelly, Wagner, Doug, Kuppan, Gokulan, Manjanatha, Mugimane, Leakey, Julian E.A., Patri, Anil K.
Publikováno v:
In NanoImpact October 2024 36
Autor:
Mohamed Lahiani, Kuppan Gokulan, Vicki Sutherland, Helen C. Cunny, Carl E. Cerniglia, Sangeeta Khare
Publikováno v:
Journal of Xenobiotics, Vol 14, Iss 1, Pp 193-213 (2024)
Triclosan (TCS), a broad-spectrum antibacterial chemical, is detected in human urine, breast milk, amniotic fluid, and feces; however, little is known about its impact on the intestinal microbiome and host mucosal immunity during pregnancy and early
Externí odkaz:
https://doaj.org/article/589e39325a314596b6fb4969ace900ec
Autor:
Ark Dev, Vineet Kumar, Diwaker Pathak, Ayyarao S. L. V. Tummala, Sachin Sharma, Vasudevan Kuppan
Publikováno v:
IEEE Access, Vol 12, Pp 181217-181231 (2024)
Accurate parameter estimation is essential for optimizing the performance of solar photovoltaic (PV) models. Traditional methods, such as deterministic approaches, often face challenges due to the inherent nonlinearity of PV systems, resulting in hig
Externí odkaz:
https://doaj.org/article/af778f83ca4a443990a33321e472de39
Publikováno v:
IEEE Access, Vol 12, Pp 181282-181302 (2024)
This paper provides a comprehensive survey on the applications, challenges, and future directions of Artificial Intelligence (AI) in the insurance and real estate sectors. We explore key AI-driven solutions, such as advanced risk assessment, predicti
Externí odkaz:
https://doaj.org/article/5f714c7abe9b4653b09fdedb00550982
Publikováno v:
IEEE Access, Vol 12, Pp 154022-154034 (2024)
This paper introduces a framework that integrates fairness and transparency into advanced machine learning models, specifically LightGBM and XGBoost, applied to loan approval and house price prediction datasets. The key contribution is using fairness
Externí odkaz:
https://doaj.org/article/1ac4a2290f3f481ea1a58eb9948d6707