Gait is a behavioural biometric which sometimes changes due to diseases but it is still a strong identification metric that is widely used in forensic works, state biometric preserve sectors, and medical laboratories. Gait...
For optimum placement of distributed generation (DG) units in balanced radial distribution network for loss minimization, implementation of whale optimization algorithm (WOA), a state-of-the-art meta-heuristic optimization...
AbstractAdopting low-cost (shoestring) digital solutions in organisations should be followed by assessing the business and digitalisation impact. Evaluating the impact of low-cost...
A mutual fund is a pool of money managed by an Asset Management Company (AMC) that collect funds from different individuals as well as institutional investors, and invest those funds in various securities, capital assets...
Penalized likelihood approaches are widely used for high-dimensional regression. Although many methods have been proposed and the associated theory is now well developed, the relative efficacy of different approaches in...
This paper frames causal structure estimation as a machine learning task. The idea is to treat indicators of causal relationships between variables as 'labels' and to exploit available data on the variables of interest to...
Current advances in materials science have resulted in the rapid emergence of thousands of functional adsorbent materials in recent years. This clearly creates multiple opportunities for their potential application, but it also...
This article provides a comprehensive review of the use of information and communication technologies by urban local bodies in India in their war against the COVID-19 pandemic based on a detailed survey conducted during the...
A mutual fund is a pool of money managed by an Asset Management Company (AMC) that collect funds from different individuals as well as institutional investors, and invest those funds in various securities, capital assets...
Abstract: Penalized likelihood approaches are widely used for high-dimensional regression. Although many methods have been proposed and the associated theory is now well developed, the relative efficacy of different approaches...
Virtual resources team up to create a computational grid, which is used in computation-intensive problem solving. A majority of these problems require high performance resources to compute and generate results, making grid...
Neurons contain polarised microtubule arrays essential for neuronal function. How microtubule nucleation and polarity are regulated within neurons remains unclear. We show that γ-tubulin localises asymmetrically to the somatic...
Risk prediction models are a crucial tool in healthcare. Risk prediction models with a binary outcome (i.e., binary classification models) are often constructed using methodology which assumes the costs of different...
Abstract: Penalized likelihood approaches are widely used for high-dimensional regression. Although many methods have been proposed and the associated theory is now well developed, the relative efficacy of different approaches...
INTRODUCTION: There is growing interest in the prediction of incident atrial fibrillation (AF). The 12-lead electrocardiogram (ECG) has been a particularly rich target for possible prediction strategies. PURPOSE: The P-wave axis...