Background of the study
Library is a fast growing organization, the ancient methods of maintaining it are no longer dynamic and efficient for expeditions, retrieval and dissemination of information and better service for the students; application of modern techniques ha...
BACKGROUND TO THE STUDY
Library is a fast growing organization, the ancient methods of maintaining it are no longer dynamic and efficient for expeditions, retrieval and dissemination of information and better service for the students; application of mod...
Background to the Study
Learning of mathematics developsgood knowledgeand understanding because of its application to all fields of human endeavor. It is a field of study that brings about logical thinking and reasoning toward a solution to problem that...
Background To The Study.
At independence, Nigeria joined the committee of nation with the hope for a better tomorrow. We were able to feed ourselves and were of course almost self-sufficient. Subsequently our hopes seemed unattainable. We seem to be go...
STATEMENT OF THE PROBLEM
As transportation, communication, and utility networks continue to grow in complexity and size, the likelihood of two or more networks occupying a common right-of-way or intersecting each other also continues to increase. Conflicts arise when on...
AIM AND OBJECTIVES
The primary aim of this project work is to provide lasting solution to the problem by computerizing the maintenance of record of NOKIA users to help track down user’s services and follow up provision of wireless voice overIP. To eli...
BACKGROUND OF THE STUDY
In our contemporary environment, advances in technology cause individuals all over the world to alter both their patterns of behavior and the ways in which they consume goods. As opined by Mahamud & Fordjour (2015)) the...
BACKGROUND OF THE STUDY
In our contemporary environment, advances in technology cause individuals all over the world to alter both their patterns of behavior and the ways in which they consume goods. As opined by Mahamud & Fordjour (2015)) the use of...
BACKGROUND OF STUDY
For certain infectious diseases, there are individuals who are able to transmit their illness but do not exhibit any symptoms. These individuals are called “carriers” and they play an important role in the t...
ABSTRACT
This research is aimed at the modelling and structural analysis of the ball-on-sphere system using bond graph technique. To achieve the bond graph model of the ball-on- sphere system, the various s...
ABSTRACT
The control of voltage level has been identified as one of the most important operational
needs for efficient and reliable operation of power system equipment. Due to the fact
that both the utility and customer equipment are designed to ope...
Problem Statement
The successful operation of cognitive radios depends largely on the results of spectrum sensing. Energy detection being the simplest to implement in terms of computational complexity has attracted a great deal of attention from researchers in order to...
ABSTRACT
This research developed a distributed big data fusion architecture for machine to machine communication using ensemble learning. This is implemented to mitigate the challenges that characterize centralized big data fusion architecture commonly adopted through the use of Hadoop...
ABSTRACT
This research presents the development of a modified token-based congestion control scheme with adaptive forwarding mechanism (mTBCC) algorithm for addressing congestion problems in opportunistic networks (OppNets). The algorithm addresses the limitations associated with the st...
ABSTRACT
Pilot Contamination (PC) has been considered as a majorlimiting factor of Time Division Duplexing (TDD) Massive Multiple-Input Multiple-Output (M-MIMO) systems, as itsaturates the signal to interference plus noise ratio (SINR) saturated. Similarly, several mitigation techniques...
Excerpt from the Study
Combinatorial optimization involves the mathematical study of arraignment, ordering, selection or grouping of discrete objects. The complexity of combinatorial problem usually increases as the problem dimension becomes very large. Solving these la...
ABSTRACT
This study presents the development of an improved application specific tunnelling protocol selection scheme (iASTPSS) for site-to-site virtual private network (VPN). The aim is to develop an improved tunnelling protocol selection scheme for site to site VPN that is application...
ABSTRACT
This dissertation presents the development of an optimized routing scheme for a capacitated vehicle model using Firefly Algorithm (FFA). The conventional model is a formal description involving mathematical equations formulated to simplify a more complex structure of logistic p...
ABSTRACT
Inspired by the previous findings on the structural requirements needed for good antimalarial activity by chalcones against Plasmodium proteases, seventeen chalcone derivatives were designed and synthesized using Claisen-Schmidt condensation of appropriate aldehydes and methyl...
1 BACKGROUND TO THE STUDY
According to wikipedia (2015), artificial intelligence (AI) is the intelligence exhibited by machines or software. It is also the name of the academic field of study in computer science which studies how to create computers and compute...
Introduction and Background
Understanding the physics of our surrounding has driven science and technology for a long time and while some part of the earth is well know and understood, its subsurface is mostly unknown. The subsurface is one of today’s most important challenges. Fi...
Abstract
Inspired by the rise of smaller computing devices and ubiquitous network connectivity, this dissertation focuses on the dynamics of extremely large scale computer networks and mechanisms to improve their performance. Traditional networks were not designed to support the billion...
ABSTRACT
Knowledge maps have been widely used in knowledge elicitation and representation to evaluate and guide students’ learning. To improve upon current computational approaches to construct and assess knowledge maps, this thesis adopts a hybrid methodology that combines...
Abstract
Fully autonomous aerial systems (FAAS) combine edge and cloud hardware with UAVs and considerable software support to create self-governing systems. FAAS complete complicated missions with no human piloting by sensing and responding to their environment in real-time. FAAS requi...
ABSTRACT
The growth of the telecommunication industry is fast paced with ground-breaking engineering achievements. Despite this, portable mobile handheld devices have very low computational, storage and energy carrying capacity occasioned by the needs to satisfy portability, very small...
Introduction
This chapter introduces the dissertation by describing its context, the identified challenges, how the chosen challenge was met, the achieved impact, relevant publications, and how the thesis is structured. 1.1 Context In science data is the essential focal point in todays...
ABSTRACT
Wireless sensor networks (WSN) consist of micro-sensors capable of monitoring physical and environmental factors. These are often mainly made up of resource constrained sensor nodes and gateways. Networking these nodes presents several challenges because the devices have limite...
ABSTRACT
The purpose of this work is to model and simulate the Fluid Catalytic Cracking Unit (FCCU) riser of a refinery having Kaduna Refining and Petrochemical Company (KRPC) Kaduna as a study. The unit’s operation is cracking of heavy gasoil (VGO) to light weight oils in the pre...
ABSTRACT
Thermal management of data centers remains a challenge because of their everincreasing power densities and decreasing server footprints. Current lack of dynamic control over global provisioning and local distribution of cooling resources often result in wasteful overcooling. Th...
ABSTRACT
A political economy environment typified by political corruption, poor implementation of economic policy rules and weak policy coordination, can alter the fiscal behaviour of government and how it interacts with the monetary policy of the Central Bank. This study solved and est...
ABSTRACT
One of the major challenges in bioinformatics is the development of efficient computational tools for mining patterns. Structured motifs, like DNA binding sites in organisms with peculiarities in their genomic sequence like malaria parasite, Plasmodium falciparum have not been...
ABSTRACT
This study examined the application of NLP Techniques to analyse sentiment and emotion on social media data. Sentiment analysis has proven to be one of the most challenging ...
Background of the study
Cryptography has a long and intricate history that intertwines with the development of number theory. From the ancient ciphers of Julius Caesar to the complex algorithms used in modern-day encryption, the evolution of cryptograph...
Background of the study
Artificial intelligence (AI) has become an integral part of many industries, revolutionizing traditional practices and offering innovative solutions to complex problems. In the context of education, AI technologies are inc...
1.1 Background of the Study
The drug discovery and development process is often characterized by high costs, extensive timelines, and a significant risk of failure. Traditional methods rely on trial-and-error approaches that are resource-intensive and time-consuming. Artificial Intellig...
1.1 Background of the Study
The increasing sophistication of financial fraud poses significant challenges to banking systems worldwide. In Nigeria, fraudulent activities such as identity theft, account takeovers, and unauthorized transactions have escalated, necessitating advanced tools...
1.1 Background of the Study
In traditional educational settings, assessment and grading are critical components of evaluating student performance and ensuring academic progress. However, as educational systems grow, the manual process of grading becomes increasingly cumbersome, time-con...
1.1 Background of the Study
The application of Artificial Intelligence (AI) in educational settings has expanded significantly in recent years, offering innovative approaches to enhance student outcomes. Predictive analytics, powered by AI, has emerged as a powerful tool for forecasting...
1.1 Background of the Study
In the manufacturing sector, equipment failure and downtime have long been a significant challenge, leading to reduced productivity, increased operational costs, and lost revenue. For companies like Dangote Cement Factory in Kogi State, which operates with co...
1.1 Background of the Study
The integration of Artificial Intelligence (AI) and robotics into production lines has transformed the manufacturing industry worldwide. By automating various tasks, AI-powered robotics systems can increase the efficiency of production lines, reduce human err...
1.1 Background of the Study
Small and Medium-sized Enterprises (SMEs) form a critical component of the Nigerian economy, contributing significantly to employment and economic development. However, SMEs often face challenges such as limited access to capital, outdated technology, and ine...
1.1 Background of the Study
Dynamic pricing is an AI-powered pricing strategy that adjusts prices of goods or services in real-time based on market demand, competition, customer preferences, and other external factors (Sanni et al., 2024). In the retail industry, dynamic pricing algorit...
1.1 Background of the Study
Tenant screening is a critical aspect of property management that directly impacts landlords' ability to maintain profitable and well-managed properties. Traditionally, this process involves manual reviews of financial records, credit his...
1.1 Background of the Study
Agricultural productivity in Nigeria is heavily reliant on accurate data for land management, crop monitoring, and resource allocation. Satellite imagery has proven to be a valuable source of such data, offering insights into crop health, soi...
1.1 Background of the Study
Climate modeling plays a crucial role in understanding and mitigating the impacts of climate change. Northern Nigeria faces significant environmental challenges, including desertification, erratic rainfall patterns, and rising temperatures, which threaten agr...
1.1 Background of the Study
The rapid proliferation of digital technologies has transformed the advertising landscape globally. Artificial Intelligence (AI) tools, such as predictive analytics, natural language processing (NLP), and machine learning algorithms, have emerged as pivotal i...
Background of the Study: Data mining, the process of discovering patterns and trends from large datasets, has become a cornerstone of modern business intelligence practices (Hussain & Qamar, 2023). By leveraging sophisticated algorithms and machine learning techniques, businesses can gain val...
Background of the Study
Fraud risk assessment is an essential part of ensuring the security and trustworthiness of digital payment platforms. Machine learning algorithms are increasingly being used in fraud detection to analyze patterns, identify anomalies, and predict...
Background of the Study
Customer segmentation is a fundamental marketing strategy used by businesses to identify and understand distinct groups within their customer base. Through segmentation, supermarkets can tailor their marketing, pricing, and product placement stra...
Background of the Study
Sentiment analysis, a branch of natural language processing, is increasingly used to gauge public opinion during political campaigns. By analyzing social media posts, public speeches, and news articles, sentiment analysis provide...