Pose Scoring and Minimization using Convolutional Neural Networks
In this work the usage of a Convolutional Neural Network (CNN) to predict the distance of an arbitrary ligand pose from the true binding pose of a protein-ligand complex is used.
In this work the usage of a Convolutional Neural Network (CNN) to predict the distance of an arbitrary ligand pose from the true binding pose of a protein-ligand complex is used.
The intent of this research is to review literature published on the prevalence of bacterial foodborne pathogens found in milk and dairy environments.
Our intentions are to see if we can adapt our understanding of the P2X7 receptors’ response to pain for future models that will hopefully enable successful human therapy and treatment
This study aims at carrying out extensive research from different peer-reviewed journals to identify the effectiveness of creatine on athletes.
A literature review on the link between maternal zinc deficiency and increased rates of neonate low birth weight.
This dissertation is primarily concerned with the arguments that are currently active in relation to the benefits and disadvantages of having either an active or passive third stage of labour.
This paper looks at the issues facing the European car industry with regard to environmental issues. This is done by looking at past and present published material that revolves around the subject matter under specified themes.
The objective of this research is to identify the factors that influence a person into making a decision to buy a certain brand of malt-based health drink.
This study presents the analysis of performance management issues on Marks and Spencer’s (M&S) employee motivation and training.
The purpose of this experiment is to comprehend and develop an understanding of the biochemical and physiological purposes of different species of bacteria.
This paper will research various data visualisation approaches and analyse their usefulness and restrictions and how they handle increasing data complexity and the user-data interactions.
In this paper, we propose an unsupervised method which learns low-dimensional continuous vectors for transactions based on information of both singleton items and FIs.
This paper is a literature review of a previous research paper, named,
Introduction to a study which aims to compare and contrast various classification data mining algorithm techniques, as well as different feature selection scenarios.
This project will focus on researching web security threats, exploring them, and try to find new strategies to protect against them.
In my task I proposed a machine learning technique for providing the solution to a Sudoku puzzle. The solver is equipped for solving the puzzle from a picture caught from any advanced camera.
The purpose of this research is to examine the effect of the 2016 working conditions and practices on the motivation and happiness of Sports Direct employees and the company’s performance.
The aim is to utilize the concept of machine learning and to build a model using ensemble algorithm which can be trained efficiently to detect malwares in a system.
This literature review is to analyse and clarify points of agreement and opposition of the argument on prison privatization warehousing prisoners for servitude or rehabilitation.
The purpose of this literature review is to propose the decriminalization of illicit drugs within Ireland and analyse the benefits it will have on society while comparing to other foreign policies.

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