Introduction: Cystic duct connects neck of the gallbladder with the common hepatic duct. It conveys bile from the gallbladder to the common hepatic duct. Gallbladder and cystic duct are developed from cystic bud which has been derived from the hepatic diverticulum. Variations in the cystic duct are not uncommon. The success of surgical procedures on gallbladder and hepatic apparatus depends on the knowledge of the normal anatomy and their variations.
Introduction: The lateral cord of brachial plexus is formed from the anterior divisions of upper and middle trunks, formed from roots C5, C6 and C7. Variations in the formation and branching of lateral cord are not uncommon. Considering its variations, a detailed knowledge is necessary to neurosurgeons, anaesthetists and orthopedicians to avoid complications.
: Conservation of integrated watershed management essential resources plays an active role in reduction of unfavorable effects like soil erosion, production of food determining the exact water potential zones etc. Land potential is the main basis of managing watershed. Watershed management studies demand is increasing in the recent years. The study is not limited to drought prone areas, but also in humid and semi humid areas in order to maintain the survival of the crops in critical stages. The main objective of the current study area is management of Maheshwaram Watershed based on the rainfall data. In the study area the rainfall data is collected for the 10 years span (2006-2015) from ARI (Agricultural Research Institute) from Rajendra Nagar Hyderabad. Topographic maps are collected from Survey of India in order to prepare base map, digital elevation model (DEM), contour map, drainage map. The Second main objective of the study area is approximation on annual and monthly run-off by using rainfall data. Further Base map, DEM(Digital Elevation Model), contour map, drainage map, slope map, land use and Land cover map, TIN(Triangulated Irregular Network) maps were generated by Survey of India toposheet maps to prepare maps by using ArcGIS Software. Analysis of the study helps the decision makers to provide sustainable planning of the environment and economy in the future.
This research covers deep learning approaches, a supervised machine learning model for fruit illness diagnosis, and a convolutional neural network-based fruit grading system. We employed a Visual Geometry Group (VGG) which is a part of the Convolutional Neural Network (CNN) and it produced an accurate result. Fruit disease detection is a tough task for a manual inspection system, so we have designed a system that detects the fruit disease and grades it. In recent times the machines are incorporated with a high-speed computing hardware device that allows the developers to develop the complex system using different types of machine learning models, and algorithms for better results and near accuracy. Using these advanced models of neural networks, a good model is built for classifying the better fruit. The dataset is taken from kaggle.com, and various sorts of fruit photos were utilized to train and test the model, resulting in an accurate result. Key Terms: Supervised machine learning model, Convolutional Neural Network, Visual Geometry Group, Pre-Processing, Feature Extraction, Classification, Gray Scale Conversion, Noise Removal, Thresholding, and Image Sharpening.
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