Published Papers

This research paper aims to test and compare natural remedies to antifungal medications to see if they can be viable replacements for the medications. It aims to offer alternatives to people who may not have access to antifungal medications and avoid the overuse of medication. Through incubation, it found that garlic was an effective antifungal and the extent of its effect was the same as the antifungal medications, while castor oil and coconut oil were not as effective. Therefore, it states that garlic is a viable alternative to antifungal medications for yeast infections and encourages further testing to find more replacements for various types of infections.

Energy can neither be created nor can it be destroyed. It can only change from one form to another. This paper examines if the law of conservation of energy holds true in projectile motion. With advances in computing, we do not require artillery guns and sophisticated equipment for testing these concepts now. A Python-based computer simulation coded with the appropriate rules and set to accept the correct parameters (Mass of the object, Angle of Projection, and Initial Velocity) can conduct an infinite number of experiments and simplify reporting. Through this paper, we test the law of conservation of energy at different points along the projectile’s trajectory and for three different parameters namely Mass of the object, Angle of Projection, and Initial Velocity and present our findings.

An artificial neural network is a model from the field of machine learning that was inspired by the structure and function of the brain. Whilst deep learning involves neural networks with multiple layers between the input and output layers. This paper shows how neural networks work, and describes various features. Backpropagation is explained in detail, and the common issues that one can face whilst training a neural network are described. Methods of mitigating these issues are also given. Finally, a neural network is employed to build a daily Bitcoin trading system. The results were inferior to multiple linear regression. The neural network likely suffered from overfitting, but regularisation using dropout helped to mitigate this.

Classical computers use bits, whilst quantum computers use quantum bits (qubits). Quantum computers can perform tasks that classical computers are unable to perform. When ideal quantum computers are developed, they will be a serious threat to current encryption systems. This has prompted the development of post-quantum cryptography. The National Institute of Standards and Technology (NIST) have selected four post-quantum algorithms. Three employ lattice-based cryptography, whilst one employs hash-based cryptography. Although recent attacks on lattice-based cryptography mean that the post-quantum algorithms of the future are uncertain

Various games can have multiple outcomes, based on the decisions of the various stakeholders or players. In this paper, we created a program (in Python) that finds the type of dominant strategy in 2-player games, using the potential payoffs or utility returns for each of the possible moves a player plays. Specifically, the code was ideally made for a game where each of the players has 2 moves thus 4 total possible outcomes for each player with their own payoffs. We were able to process the inputted data for each of the 2 players through the use of a 2:2 matrix. By comparing payoffs or specific values in the matrix using logical steps and conditions, we were able to determine what move would be most beneficial and effective for each player, along with the type of dominance that move has.

The present invention relates to an IoT based/integrated device for regulating waterflow through taps. More specifically the invention relates to a device wherein waterflow is regulated by fitting the device to any existing tap to optimize the flow of water to measure water consumption and conserve water.