Justice Kwame Appati

Lending institutions face key challenges in making accurate predictions of loan defaults. Large sums of money given as loans are defaulted and this causes a substantial loss in...

Security threats continue to pose enormous challenges to network and applications security, particularly with the emerging IoT technologies and cloud computing services. Current...

Successful profile cloning attacks have far-reaching consequences for the victims. People whose profiles are cloned suffer defamation, mistrust, loss of job, interdiction, public...

Prediction of the stock price is a crucial task as predicting it may lead to profits. Stock price prediction is a challenge owing to non-stationary and chaotic data. Thus, the...

Biometric authentication is gaining ground in security-related issues in business, corporate management, and other settings. A considerable amount of research has been conducted...

One among a lot of public health concerns in rural and tropical areas is the human intestinal parasite. Traditionally, diagnosis of these parasites is by visual analysis of stool...

The open nature of the internet of things network makes it vulnerable to cyber-attacks. Intrusion detection systems aid in detecting and preventing such attacks. This paper...

An accurate and reliable cocoa swollen shoot disease diagnosis is the desire of traditional farmers with low-resolution smart devices. In this study, an efficient cocoa swollen...

This study proposes a deep learning approach for stock price prediction by bridging the long short-term memory with gated recurrent unit. In its evaluation, the mean absolute...

The fast growth of internet access globally without boundary has led to some negative impacts among children who are exposed to pornographic contents daily. Many parental control...

This study aims to analyze the Chan-Vese model's performance using a variety of tumor images. The processes involve the tumors' segmentation, detecting the tumors...

This work presents an ensemble method which combines both the strengths and weakness of particle swarm optimization (PSO) with genetic algorithm (GA) operators like crossover and...

This study aims to analyze the performance of machine learning models for detecting Internet of Things malware utilizing a recent IoT dataset. Experiments on the IoT dataset were...

This review aims to systematically analyze ML models from four aspects: type of ML technique, estimation accuracy, model comparison, and estimation context. A systematic...

Credit card fraud has been on the rise for some years now after the introduction of card payment systems. To curb this menace, computational methods have been proposed....

This study aims at modelling and evaluating the performance of machine learning techniques on a recent network intrusion dataset. Five machine learning algorithms, which include...