Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Naveen Venkat"'
Autor:
Sharma, Aashish, Madeva Naik, Santosh, Dutt, Himanish, Shukla, Rishabh, Naveen Venkat Sai, Ch
Publikováno v:
In Materials Today: Proceedings 2021 46 Part 1:70-75
Autor:
Naveen Venkat, Vishal Vaghasiya, Montu Bhatiya, Sahil Gondaliya, Snehal Mishra, Denish Zalavadiya
Publikováno v:
Asian Journal of Agricultural Extension, Economics & Sociology. :430-435
The study was aimed on “Problem Identification of Groundnut Cultivation in Bhadthar Market of Devbhoomi Dwarka District”. The study type was descriptive research. Since groundnut was the most important crop farmed in the area during the Kharif se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96028d90b6a36c7528970b6f7d11490d
https://doi.org/10.9734/ajaees/2022/v40i121813
https://doi.org/10.9734/ajaees/2022/v40i121813
Autor:
Denish Zalavadiya, Naveen Venkat, Sahil Gondaliya, Montu Bhatiya, Snehal Mishra, Vishal Vaghasiya
Publikováno v:
Asian Journal of Agricultural Extension, Economics & Sociology. :424-429
The supply chain begins with acquiring fundamental raw materials and ends with delivering the finished product to the consumer. The growing interest in Agricultural Supply Chain Management (ASCM) can be attributed to two main factors: agricultural in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91691c13aa3378cce3614dc1105d601b
https://doi.org/10.9734/ajaees/2022/v40i121812
https://doi.org/10.9734/ajaees/2022/v40i121812
Publikováno v:
Materials Today: Proceedings. 46:70-75
A 6061 Aluminium alloy with Silicon carbide as the reinforcing agent is implemented as composite constituent. The reinforcement content is diversified in terms of weight percentage. Further, the casted specimens are made to experience high strain thr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6f5d6b083970d468e41ce76c1abb848
https://doi.org/10.1016/j.matpr.2020.06.077
https://doi.org/10.1016/j.matpr.2020.06.077
Publikováno v:
Heliyon, Vol 10, Iss 19, Pp e38498- (2024)
This study proposes a vision transformer to detect visual defects on steel surfaces. The proposed approach utilizes an open-source image dataset to classify steel surface conditions into six fault categories namely, crazing, inclusion, rolled in, pit
Externí odkaz:
https://doaj.org/article/7952084256ec49e98a9ac54bf44ff9ef
Autor:
Sivagurunathan Viswanathan, Naveen Venkatesh Sridharan, Jegadeeshwaran Rakkiyannan, Sugumaran Vaithiyanathan
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102857- (2024)
Brake fault diagnosis is a crucial aspect of enhancing driving safety, as various faults such as air in brake fluid, brake oil spill, reservoir leak, mechanical fade and distinct types of brake pad wear can compromise vehicle safety. This study prese
Externí odkaz:
https://doaj.org/article/a6e3eacf4262430fba7db34348905576
Publikováno v:
Procedia Computer Science. 172:922-926
Learning from our own mistakes is one of the best ways of impactful learning. This comes into play when we practically apply and experience theoretical knowledge. This is where the concept of project based learning becomes the most powerful method. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bfc02745fed6cb6f08b9f62952a5eed
https://doi.org/10.1016/j.procs.2020.05.133
https://doi.org/10.1016/j.procs.2020.05.133
Publikováno v:
Automatika, Vol 65, Iss 2, Pp 523-537 (2024)
The novelty of this paper revolves around monitoring the condition of nitrogen-filled tires through the fusion of features and utilization of weightless neural networks. A tire pressure monitoring system (TPMS) plays a crucial role in ensuring vehicl
Externí odkaz:
https://doaj.org/article/13fea926b0694096aa6e859288409a77
Publikováno v:
Frontiers in Computer Science, Vol 6 (2024)
Industry 5.0 promises to revolutionize the industry by focusing on human-centric, sustainability, and resilience empowered by emerging technologies such as Artificial Intelligence (AI) and digitalization. This paradigm shift is expected to bring sign
Externí odkaz:
https://doaj.org/article/4591218db90c4602ba774819c300774d
Publikováno v:
CVPR Workshops
Adversarial Training (AT) is a straight forward solution to learn robust models by augmenting the training mini-batches with adversarial samples. Adversarial attack methods range from simple non-iterative (single-step) methods to computationally comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::707f6c20025350a007c8d5612f26a044
https://doi.org/10.1109/cvprw50498.2020.00023
https://doi.org/10.1109/cvprw50498.2020.00023