Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Yogita S. Patil"'
Publikováno v:
Materials Today: Proceedings. 28:1865-1871
Nanorods of pure and Mn doped ZnO were synthesized by precipitation method. Thick films of synthesized materials were prepared by screen printing method. Structural and morphological characterizations were carried out by XRD, FESEM and EDAX. The gas
Autor:
Manish Joshi, Yogita S. Patil
Publikováno v:
2020 International Conference on System, Computation, Automation and Networking (ICSCAN).
Trend prediction of the volatile stock market has been an interesting and challenging task for many researchers over many years. In this paper, we present how rough set-based BIRCH clustering can be used to develop stock data prediction model. The pr
Publikováno v:
Indian Journal of Science and Technology. 10:1-5
Objective: The tribiological activity of aluminium bronze (CuAl 8 Fe 3 ) has been explored using the pin-on-discmachine at various loads under dry sliding wear condition. Method/Analysis: The work piece had a size of 11.4mm in Diameter, 103 mm in len
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 1126:012046
In this paper, we report precipitation method for preparation of pure and Cd-ZnO nanorod using different doing concentration. Thick films are fabricated by screen printing technique. For structural, morphological, compositional and optical characteri
Autor:
Manish Joshi, Yogita S. Patil
Publikováno v:
Smart Intelligent Computing and Applications ISBN: 9789811319266
Clustering is unsupervised learning technique to group similar objects. The quality of clustering is assessed by several internal as well as external measures such as Dunn index, Davies–Bouldin index (DB), Calinski-Harabasz index (CH), Silhouette i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb731750e72c7e6c1326f7ebe20afd5b
https://doi.org/10.1007/978-981-13-1927-3_58
https://doi.org/10.1007/978-981-13-1927-3_58
Publikováno v:
Proceedings of International Conference on Intelligent Manufacturing and Automation ISBN: 9789811324895
Palladium-doped zinc oxide nanostructures were synthesized by a microwave-assisted chemical method. The structural and morphological characteristics were studied from X-ray diffractogram and field emission scanning electron microscopy. The Pd–ZnO n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73770819ec9907a2d9c6eaef3fabc13b
https://doi.org/10.1007/978-981-13-2490-1_33
https://doi.org/10.1007/978-981-13-2490-1_33
Publikováno v:
pjct. 15:81-84
Pesticide pollution is a serious problem being faced. Harmful levels of pesticides are found in the water which is used for daily purposes. In the event of such a scenario, this paper presents a working solution for bringing down the Pesticide levels
Autor:
Manish Joshi, Yogita S. Patil
Publikováno v:
2016 IEEE International Conference on Current Trends in Advanced Computing (ICCTAC).
Clustering is one of the data mining techniques used in a knowledge discovery process. It is assumed that a good representation of data points may yield good clustering results [6]. This paper discusses the effect of the coordinate system on the clus
Publikováno v:
2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT).
ZnO and Sb-doped ZnO nanostructures were synthesized using microwave assisted precipitation method. Thick films of prepared powders were fabricated using screen printing method. The X-ray diffraction studies show that the nanostructures are crystalli
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319137278
It has been established that mammogram plays vital role in early detection of breast diseases. We also know that computational empowerment of mammogram facilitates relevant and significant information. Several research groups are exploring various as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e8eaed716d68cb94ddc5e183f17be5a
https://doi.org/10.1007/978-3-319-13728-5_32
https://doi.org/10.1007/978-3-319-13728-5_32