1. A CRITICAL SURVEY OF ENGLISH COMMON SPELLING ERRORS
BACKGROUND OF THE STUDY
Though many people would agree that the standard of education in Nigeria has deteriorated, no one could have predicted that University Education in Nigeria has deteriorated to an abysmally low level, according to a World Bank rep...
2. AN ASSESSMENT OF TOURISM POTENTIALS IN KADUNA STATE
ABSTRACT
Tourism as an agent of development, leads to a lot of benefit’s, Nigeria as a country richly endowed with a wide range of cultural and natural resource’s relative to other nation‟s in Africa and on a global level, most of which are...
3. EFFECT OF COVID-19 ON BANKING SYSTEM IN NIGERIA
BACKGROUND OF THE STUDY
A pandemic is a disease outbreak that spreads across countries or continents. It affects more people and takes more lives than an epidemic, which according to the World Health Organization (WHO) declared COVID-19 to be a pandemic...
4. INVESTIGATION INTO THE CAUSES AND PREVENTION OF COVID-19 AMONG ALVAN IKOKU FEDERAL COLLEGE OF EDUCATION, OWERRI
Background to the study
Etymologically, Coronavirus (COVID-19) are positive-sense, single stranded RNA viruses and its diameters is 60 nm to140 nm with spike like projection on it’s around which giving it a crown like appearance. Their viral is RN...
5. FLOOD GENERATING STRUCTURES IN KUBWA URBAN LANDSCAPE
ABSTRACT
This research work examined flood generating structures on Kubwa urban landscape Bwari Area Council. It is a combination of field observation through the distribution of questionnaire to the residents of the area and library research. Background for the stu...
6. DEVELOPMENT OF A FUZZY TIME SERIES MODEL USING CAT SWARM OPTIMIZATION CLUSTERING AND OPTIMIZED WEIGHTS OF FUZZY RELATIONS
ABSTRACT
This research developed a hybrid forecasting technique that integrates Cat Swarm Optimization Clustering (CSO-C) and Particle Swarm Optimization (PSO) algorithms with Fuzzy Time Series (FTS) forecasting model. Cat Swarm Optimization Clustering (CSO-C) which is an algorithm for...
7. DEVELOPMENT OF A MODIFIED ENERGY-EFFICIENT CLUSTERING WITH SPLITTING AND MERGING FOR WIRELESS SENSOR NETWORKS USING CLUSTER-HEAD HANDOVER MECHANISM
ABSTRACT
Energy efficiency is one of the most important challenges for Wireless Sensor Networks (WSNs). This is due to the fact that sensor nodes have limited energy capacity. Therefore, the energy of sensor nodes has to be efficiently managed to provide longer lifetime for the network....
8. DEVELOPMENT OF AN IMPROVED KEYFRAME EXTRACTION SCHEME FOR VIDEO SUMMARIZATION BASED ON HISTOGRAM DIFFERENCE AND K-MEANS CLUSTERING
ABSTRACT
The rate of increase in multimedia data necessitated the need for a large number of storage devices. Nonetheless, the stored multimedia data has a lot of redundant video frames. These redundant frames make video browsing and retrieval difficult as well as time-consuming for the...
9. A HYBRID MODEL FOR PREDICTING MALARIA USING DATA MINING TECHNIQUES
ABSTRACT
Data mining is used in extracting rules to predict certain information in many areas of Information Technology, medical science, biology, education, and human resources. Data mining can be applied on medical data to foresee novel, useful and potential knowledge that can save a...
10. A Review of Dimensionality Reduction Methods and Their Applications
ABSTRACT
In the world we live in today, the reduction in data generally has seen a great rise. This is because of the numerous advantages that comes with working with smaller efficient data instead of the original large dataset. With this analogy, we can adopt Dimensionality reduction i...
11. CATEGORIZATION OF DATA USING HIERARCHICAL CLUSTERING
ABSTRACT
In this project, we shall implement the hierarchical clustering algorithm and apply it to various data sets such as the weather data set, the student data set, and the patient data set. We shall then reduce these datasets using the following dimensionality reduction approaches:...
12. CLUSTERING NEWS ARTICLES USING K-MEANS AND N-GRAMS
ABSTRACT
Document clustering is an automatic unsupervised machine learning technique that aimed at grouping related set of items into clusters or subsets. The target is creating clusters with high internal coherence, but different from each other substantially. Simply, items within the...
