Prakash R

A linear stability analysis of thermal convection in variable viscosity Newtonian ferromagnetic liquid by considering all possible boundary combinations is studied. The importance of this problem lies in the interesting possibility of regulating convection using heat source (sink). Using Galerkin technique the critical eigenvalue and wave number for stationary convection are obtained. These critical values are then improved upon by the shooting method. The influence of various parameters on the onset of convection has been analyzed. � 2017, Springer India Pvt. Ltd.

3-Dimensional (3D) image segmentation in medical images is essential for early detection and diagnosis of diseases. It also aids in effective monitoring and treatment preparation. Traditional methods of delineating the image manually requires anatomical knowledge and is error-prone, cumbersome and expensive. Deep learning methods, especially V-shaped Convolutional Neural Network (CNN) architectures have achieved state-of-the-art performance on 2-Dimensional (2D) clinical image data. However, when it comes to 3D medical images, they suffer from anisotropy which is non-homogeneity in all directions. This paper shows that conventional convolution-based networks are insufficient to accurately segment this kind of data and proposes a 'U-shaped' transformer-based network, leveraging the self-attention mechanism to achieve better segmentation results. The proposed model outperforms baseline convolution-based models in 3D lung cancer segmentation. � 2022 IEEE.

The laser beam cutting machining (LBM) process is most extensively used for the making of reliable and complex geometrical shapes on various metals like ceramics, plastic, ferrous, stones and non-ferrous components. The parameters like cutting speed, laser power, gas power, pulse energy, temperature line spacing, scanning speed, etc., will affect the process. Also the three levels for each parameter to be considered to get optimum parameters for the machining process. Using analysis of variance (ANOVA) and regression in Minitab, the percentage of the effect of parameters by considering cutting speed, laser power and gas power. The results of main effect and optimization plots show that cutting speed plays a vital role in detecting the roughness of the surface. The most noteworthy parameters like cutting speed and laser power affecting the roughness of the surface majorly compared to gas pressure. The optimal parameters and levels are determined using Taguchi methods. � The Electrochemical Society

As Machine Learning algorithms are becoming popular to solve everyday challenges, it is being used to make predictions on data across different industries. To obtain an advantage over the competitive pressures, a service or goods supplying firm needs a strong marketing strategy to understand their clients and grasp how people think, reason and choose among the various items and services supplied in the market. By effectively understanding customer's purchasing behavior, a firm can predict the future purchases of the customer enhance user experiences, design marketing strategies to create new consuming markets, and boost sales revenue. The purpose of this research is to investigate the purchasing behavior of e-commerce retailer customers to enable to provide better services and products. The data analysis conducted on customer data enables understanding of the type of products the customers are likely to purchase based on the description of their previous transactions. Logistic Regression, K-Nearest Neighbor, Support Vector Machine, Random Forest, Recurrent Neural Network and Long Short Term Memory were applied and their performance was compared to predict the products that customers are most likely to purchase. � The Electrochemical Society

A linear stability analysis of buoyancy and surface tension driven convection in temperature and magnetic field sensitive Newtonian ferromagnetic liquid is studied. The importance of this problem lies in the interesting possibility of regulating convection using a heat source (sink). The problem discussed in this paper leads to a situation that the basic temperature gradient here is non-uniform. The governing equations thereby are of variable coefficients. The principle of exchange of stabilities is shown to be valid. The critical values are obtained using higher order Galerkin technique. The influence of various magnetic and nonmagnetic parameters on the onset of convection has been analyzed. It is found that there is tight coupling between Rayleigh and Marangoni numbers, with an increase in one resulting in a decrease in the other. Variable viscosity parameter and heat source destabilize the system. The effect of heat sink is to stabilize the system. Buoyancy magnetization parameter destabilizes the system both in presence/absence of heat source/sink. Copyright � 2013 by ASME.

The effect of surface tension and vertical throughflow in magnetic field and temperature sensitive liquid of Newtonian ferromagnetic type is examined. Combining shooting and Galerkin techniques the stationary critical eigenvalues are computed. On the ferroconvection onset, M3, non-buoyancy magnetic parameter and Pr (>1), Prandtl number have no influence. For upward or downward directions dual effect of destabilizing or stabilizing the system is observed in the presence of vertical throughflow. Throughflow effect studied through Pe, Peclet number delays ferroconvection onset and is observed to be independent to flow direction. M1, the magnetic buoyancy number, and V, the variable viscosity parameters have destabilizing influences on the system. Ferrofluids being fascinating materials are used as constant agents for magnetic resonance imaging (MRI). The great variety of magnetic fluids are tailored for technological, biological, medical and material science applications. � The Electrochemical Society