Isaac Kofi Nti

Isaac Kofi Nti
University of Cincinnati | UC · College of Education, Criminal Justice and Human Services (CECH)

PhD Computer Science

About

83
Publications
135,637
Reads
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2,279
Citations
Introduction
Dr. Isaac Kofi Nti is an Assistant Professor and Co-lead of the Information Technology Analytics Center (ITAC) at the School of Information Technology, University of Cincinnati, Ohio, USA. He has over 16 years of experience in higher education. Dr. Nti's research interests include applied machine learning in cybersecurity, education, health informatics, energy systems, agriculture, finance, and data privacy.
Additional affiliations
August 2022 - present
University of Cincinnati
Position
  • Assistant Professor
September 2009 - May 2021
Sunyani Technical University
Position
  • Lecturer
Education
September 2017 - December 2021
August 2017 - December 2021
August 2013 - September 2016

Publications

Publications (83)
Article
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The stock market is a key pivot in every growing and thriving economy, and every investment in the market is aimed at maximising profit and minimising associated risk. As a result, numerous studies have been conducted on the stock-market prediction using technical or fundamental analysis through various soft-computing techniques and algorithms. Thi...
Article
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Stock-market prediction using machine-learning technique aims at developing effective and efficient models that can provide a better and higher rate of prediction accuracy. Numerous ensemble regressors and classifiers have been applied in stock market predictions, using different combination techniques. However, three precarious issues come in mind...
Article
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Predicting the stock market remains a challenging task due to the numerous influencing factors such as investor sentiment, firm performance, economic factors and social media sentiments. However, the profitability and economic advantage associated with accurate prediction of stock price draw the interest of academicians, economic, and financial ana...
Article
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Predicting stock-price remains an important subject of discussion among financial analysts and researchers. However, the advancement in technologies such as artificial intelligence and machine learning techniques has paved the way for better and accurate prediction of stock-price in recent years. Of late, Support Vector Machines (SVM) have earned p...
Article
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Engineering and manufacturing processes and systems designs involve many challenges, such as dynamism, chaotic behaviours, and complexity. Of late, the arrival of big data, high computational speed, cloud computing and artificial intelligence techniques (like machine learning and deep learning) has reformed how many engineering and manufacturing pr...
Preprint
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Computing internships are the most common way for students to gain practical real-world experience. Internships have become a major part of most computing curricula because they help match student abilities or expectations with the demand of the workforce. The internship experience for students vary due to diverse factors such misconceptions about...
Conference Paper
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Happiness in its subjective form is difficult but important to measure. Various happiness indicators are considered when attempting to quantify the level of happiness of countries in the world. The ability to predict the happiness index based on any combination of indicators will provide governments with the understanding for better decision-making...
Preprint
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Polycystic Ovary Syndrome (PCOS) is a condition that leads to lifelong health problems outside of infertility. The lack of a single, known cause and universal symptoms makes diagnosis challenging. The early and accurate prediction will prevent many subsequent serious and morbid illnesses that can arise from PCOS. Therefore, this study proposes a pr...
Article
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The cultivation of cashew crops carries numerous economic advantages, and countries worldwide that produce this crop face a high demand. The effects of wind speed and wind direction on crop yield prediction using proficient deep learning algorithms are less emphasized or researched. We propose a combination of advanced deep learning techniques, spe...
Preprint
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Data exploration and analysis provide valuable insights for decision making and future predictions. The dawn of technologies such as artificial intelligence (AI), machine learning (ML) and deep learning (DL) has led to the exponential growth in data-driven decision making. However, these advanced technologies require voluminous amounts of data to t...
Article
The spread of the novel coronavirus disease, SARS-CoV-19 (COVID-19), has affected human activities everywhere, resulting in fear and panic among all age groups. Hence, this study implements a novel data science process to empirically model the daily reported cases and Google search queries in 14 countries. We observed a strong positive association...
Article
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The necessity for accurate and early identification of crop diseases is one of the primary difficulties facing the agricultural industries. Diseases have an impact on crop quality and have the potential to destroy hectares of crop yield, resulting in significant losses for farmers. Current diagnostic approaches are time intensive and necessitate th...
Article
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Water scarcity in Kenya is a significant issue that cannot be overlooked. Despite numerous efforts by Water Service Providers to deliver water services to Kenyan residents, the high demand for accessible water across the country remains unmet. In addition, the service provider’s ability to meet this demand is further impeded by various obstacles in...
Article
Computers in education, along with soft-computing technology applications, have revolutionised global interconnectedness and the need for a well-educated workforce. Many studies worldwide explore technology in education, often relying on systematic reviews, though concerns about selection bias have emerged. This article takes a different approach,...
Article
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The increasing global population has heightened the importance of agriculture and the need for food security. This study focuses on developing and evaluating tree-based ensemble learning models for predicting crop suitability and productivity to achieve Agenda Zero Hunger by 2030. The study encompasses two primary objectives: (1) exploring and anal...
Article
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Technology application in healthcare is a recent field devoted to sustainability in the healthcare industry. However, research in this sector has grown at a rapid pace. While this expansion has been advantageous for the discipline, it has also made it more difficult to grasp its extent. As a result, answering questions such as the most important em...
Article
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Several topics, problems, and established legal principles are already being challenged using artificial intelligence (AI) in numerous applications. The powers of AI have been snowballing to the point where it is evident that AI applications in law and various economic sectors aid in promoting a good society. However, questions such as who the prol...
Article
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Artificial Intelligence (AI) has been evident in the agricultural sector recently. The objective of AI in agriculture is to control crop pests/diseases, reduce cost, and improve crop yield. In developing countries, the agriculture sector faces numerous challenges in the form of knowledge gap between farmers and technology, disease and pest infestat...
Chapter
Heart disease accounts for a sizable portion of worldwide mortality and morbidity.Using clinical data analytics to predict heart disease survival is a challenging task. However, the inception of data mining tools and platforms helps transform large amounts of unstructured data generated by the healthcare industry into relevant information that allo...
Article
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Stroke is believed to be among the leading causes of adult disability worldwide. It is wreaking havoc on African people, families, and governments, with ramifications for the continent’s socio-economic development. On the other hand, stroke research output is insufficient, resulting in a dearth of evidence-based and context-driven guidelines and st...
Article
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Background: Most subscriber identification module (SIM) which usually finds their way to mobile phone users are primarily unregistered or pre-registered. Criminals buy these SIM cards, which have fake personal information, activate them and then use them as a channel of attacking vulnerable mobile phone users. Objective: to investigate the existi...
Conference Paper
The global impact of the COVID-19 pandemic has been felt in diverse ways. Although the death rate in Africa has not been as devastating as predicted by the World Health Organization (WHO), its economic and social impact has been fully felt by the African continent. As the world goes through the vaccination process to achieve herd immunity, Africa h...
Article
Machine learning offers the ability to analyze large financial data and extract hidden knowledge for anomalous patterns. In the current study, we propose an ensemble machine learning framework using eXtreme Gradient Boosting (XGBoost) and random forest for the detection of financial frauds. The model used an adaptive synthetic (ADASYN) algorithm ov...
Article
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Capsule Networks have shown great promise in image recognition due to their ability to recognize the pose, texture, and deformation of objects and object parts. However, the majority of the existing capsule networks are deterministic with limited ability to express uncertainty. Many of them tend to be overconfident on out-of-distribution data, maki...
Article
A successful pregnancy is a contingent upon a complex network of interdependent biological adaptations, including maternal immune responses and hormonal balance. Recent improvements in high-intelligence technology have enabled the combination of clinical and social data with multi-omics biological data can offer the opportunity to detect maternal r...
Article
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There are numerous classical approaches employed by researchers in the generation of gray code sequences, however currently there is no straightforward method or model for generating quantum gray codes. This paper seeks to present three innovative approaches to generating quantum gray codes. The first approach employs the principle of the Pascal tr...
Article
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Network intrusion is a subject of great concern to a variety of stakeholders. Decision fusion (ensemble) models that combine several base learners have been widely used to enhance detection rate of unauthorised network intrusion. However, the design of such an optimal decision fusion classifier is a challenging and open problem. The Matthews Correl...
Article
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The availability of digital technology in the hands of every citizenry worldwide makes an available unprecedented massive amount of data. The capability to process these gigantic amounts of data in real-time with Big Data Analytics (BDA) tools and Machine Learning (ML) algorithms carries many paybacks. However, the high number of free BDA tools, pl...
Conference Paper
Network intrusion detection is a subject of great concern as technology advances. Ensemble models that put together many base learners have been widely used to advance intrusion detection. Nevertheless, a random collection of base learners is challenging. The Matthews correlation coefficient (MCC) is an effective measure for detecting associations...
Conference Paper
Full-text available
Though flooding is seen as a common environmental threat globally, it has dramatically increased recently due to climate change, impacting underdeveloped and developing countries dangerously. For example, in most developing countries like Ghana, flooding has affected over four million people in terms of property damage, loss of lives, income and sp...
Article
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The numerical value of k in a k-fold cross-validation training technique of machine learning predictive models is an essential element that impacts the model's performance. A right choice of k results in better accuracy, while a poorly chosen value for k might affect the model's performance. In literature, the most commonly used values of k are fiv...
Article
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An accurate prediction of the Exchange Rate (ER) serves as the basis for effective financial man-agement, monetary policies, and long-term strategic decision making worldwide. A stable and competitive ER enables economic diversification. Economists, researchers, and investors have conducted several studies to predict trends and facts that influence...
Article
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Artificial intelligence (AI) and machine learning (ML) have influenced every part of our day-today activities in this era of technological advancement, making a living more comfortable on the earth. Among the several AI and ML algorithms, the support vector machine (SVM) has become one of the most generally used algorithms for data mining, predicti...
Article
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The academic performance of students is essential for academic progression at all levels of education. However, the availability of several cognitive and non-cognitive factors that influence students’ academic performance makes it challenging for academic authorities to use conventional analytical tools to extract hidden knowledge in educational da...
Article
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The global increase in social media (or social networking site) usage among college and university students, both outside and inside lecture halls, has open discussions on its effects on their academic performance. However, existing research probing its effects on students’ academic performance is not settled. Thus, a section of studies on social n...
Preprint
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The application of computational methods like Machine Learning (ML) and Artificial Intelligence (AI) in several fields has recently received increased attention from academicians and field professionals. However, the availability of several of these computational techniques requires expertise to make the right choice. In making things easy for non-...
Article
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This paper presents Morphological Dilation Voronoi Diagram Roadmap (MVDRM) algorithm to address unsafe path computation accompanied by high time and space computation complexity problems of roadmap path planning methods in complex environments for mobile robots. Morphological dilation was employed to inflate the obstacles in the environment of the...
Article
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The stock market is very unstable and volatile due to several factors such as public sentiments, economic factors and more. Several Petabytes volumes of data are generated every second from different sources, which affect the stock market. A fair and efficient fusion of these data sources (factors) into intelligence is expected to offer better pred...
Article
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Provision of internet service on university campuses has become essential and critical drivers to the progress and success of contemporary universities. Despite this intriguing technological advancement, universities are finding it challenging to provide the required quality of internet services to meet the high expectation of users on campus. Prop...
Article
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The creation of the National Health Insurance Scheme (NHIS) in 2005 to replace the traditional "cash and carry" healthcare financial model, was anticipated to offer a safe, reliable, affordable and national coverage healthcare system for the Ghanaian populace. The scheme has recorded several challenges; as a result, policymakers and donor agencies...
Article
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Background/Objectives: The Coronavirus disease in 2019 (COVID-19) was first seen in Wuhan (capital of Hubei, Chain), and has since spread throughout the world, resulting in the World Health Organisation (WHO) declaring the 2019–20 coronavirus a pandemic. Its ongoing spread has resulted in a standstill of the world’s economy, total lockdown in some...
Article
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The economic growth of every nation is highly related to its electricity infrastructure, network, and availability since electricity has become the central part of everyday life in this modern world. Hence, the global demand for electricity for residential and commercial purposes have seen an incredible increase. On the other side, electricity pric...
Article
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Before the introduction of the Ghana Electrical Wiring Regulations 2012 (L.I. 2008), most residential wiring within Sunyani Municipality was carried out by unlicensed artisans. This situation imposed a need to investigate the effectiveness of the earthing systems carried in the Sunyani municipality. Therefore, the current study sought to evaluate e...
Article
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Electricity is the lifeline of almost everything in this 21st century. Residential electricity consumption has seen an increase both locally and globally. Therefore, it has become a global concern of significant importance to promote electrical energy consumption reduction (energy conservation) within the household for a viable development of a nat...
Article
The growth in information, communication and technology (ICT) and the advancement in social networking site (SNSs) have open-up a new opportunity in the educational environment. The e-learning system has seen a tremendous advancement in the emergence of Web 2.0 technologies. These technologies have permitted learning modules that do not depend on l...
Article
The growth in information, communication and technology (ICT) and the advancement in social networking site (SNSs) have open-up a new opportunity in the educational environment. The e-learning system has seen a tremendous advancement in the emergence of Web 2.0 technologies. These technologies have permitted learning modules that do not depend on l...
Article
Full-text available
Skin diseases are reported to be the most common disease in humans among all age groups and a significant root of infection in sub-Saharan Africa. The diagnosis of skin diseases using conventional approaches involves several tests. Due to this, the diagnosis process is seen to be intensely laborious, time-consuming and requires an extensive underst...
Article
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A firm’s equity price on the stock-market is reported to be closely related to the Macroeconomic Variable (MVs) of the country in which the firm trades. For this reason, researchers, market traders, financial analysts and forecasters to examine the association between MVs and stock-price have carried out numerous studies, using time-series statisti...
Article
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Electricity is an essential commodity for all. The generation, transmission and distribution (GTD) of electrical energy needs much planning since every megawatt transmitted for distribution depends on consumer demand. An accurate estimation (prediction) of future demand helps prevent a power shortage and load scheduling ("Dumsor"). This study propo...
Article
Lighting association recommended lighting level suitable for lecture halls was brought to the frontage in this research. The study sought to measure the average light levels in the lecture halls and compare with the international lighting standard for the lecture hall. A handheld photometer was used to measure the illuminance of sixteen halls at 6...
Article
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The advancement in artificial intelligence (AI) and Machine learning (ML) have made it easier to foreknown feature happens from current and past trends. Once Self-efficacy and self-confidence are believed to be, an individual trait associated with academic brilliance. Using a hybridised Random Forest and Support Vector Machine (RFSVM) ML model we p...
Article
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Nowadays information has become anasset to many institutions and as a result these institutions have become targets for people with malicious intents to attack these institutions. The web is now an important means of transacting business and without security, websites cannot thrive in today's complex computer ecosystem as there are new threats emer...
Article
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Storing of data in the cloud (Cloud Computing) offers an effective and quick way of granting access to ones information from a third party service provider, providing business expansion at a lesser cost. Cloud data storage systems provide means to store bigger data in storage servers [1]. The data stored in the cloud are stored and accessed from th...