Zobrazeno 1 - 10
of 87
pro vyhledávání: '"K. Bajracharya"'
Publikováno v:
Kathmandu University Medical Journal; Oct-Dec2023, Vol. 21 Issue 4, p399-403, 5p, 1 Chart, 2 Graphs
Employing off-the-shelf machine learning models is not an innovation. The journey through technicalities and innovation in the machine learning field is ongoing, and we hope this book serves as a compass, guiding the readers through the evolving land
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Autor:
Suresh K. Rai, Sanu K. Bajracharya
Publikováno v:
Nepal Agriculture Research Journal. 9:49-55
Pot experiment was conducted in a randomized complete block design with three replication and six treatments in the screenhouse of Soil Science Division, Khumaltar during the year 2003 and 2004. The objective of the experiment was to find out the eff
Publikováno v:
Journal of Universal College of Medical Sciences. 2:35-39
INTRODUCTION: Low vision is an important public health problem; however, very few low vision clinics are available to address the needs of low vision patients in most developing countries. The purpose of this study was to describe the characteristics
Publikováno v:
Water Resources Management. 22:321-341
We developed an integrated biophysical and economic modeling framework to assess impact of various groundwater management options on seawater intrusion and waterlogging and ultimate impact on sugarcane profitability in a coastal region of North Queen
Publikováno v:
Australasian Journal of Water Resources. 11:207-220
Excessive irrigation has caused waterlogging in some parts of the Burdekin delta, while continued extraction of groundwater has reduced the hydraulic head of the aquifer and resulted in seawater intrusion. A groundwater management model was adapted t
Publikováno v:
Environment International, Vol 28, Iss 6, Pp 493-502 (2002)
Desorption of cadmium (Cd) from sand was studied by both batch and flow-through methods. Batch experiments were conducted at three pH values (5.5, 6.0 and 6.5). In each case, the amount of Cd desorbed was low compared with the quantity of Cd adsorbed
Publikováno v:
Systems Analysis Modelling Simulation. 42:585-596
This paper presents a method to estimate the long-range dependence and multifractality in data on porosity observed at two separate locations of a saltwater monitoring network. The method is useful in the classification and clustering of the network.