1. DESIGN AND IMPLEMENTATION OF A MEDICAL DIAGNOSTIC SYSTEM
BACKGROUND OF STUDY
Medical diagnosis, (often simply termed diagnosis) refers both to the process of attempting to determine or identifying a possible disease or disorder to the opinion reached by this process. A diagnosis in the sense of diagnostic procedure can be re...
2. DESIGN AND IMPLEMENTATION OF A MEDICAL DIAGNOSTIC SYSTEM
BACKGROUND OF STUDY
Medical diagnosis, (often simply termed diagnosis) refers both to the process of attempting to determine or identifying a possible disease or disorder to the opinion reached by this process. A diagnosis in the sense of diagnostic procedure can be re...
3. SMART TRAFFIC CONTROL SYSTEM USING YOLO-MODEL
Background of the study
Traffic congestion is a major problem in many cities, and the fixed-cycle light signal controllers are not resolving the high waiting time in the intersection. We see often a policeman managing the movements instead of the traffi...
4. DEVELOPMENT OF A DEEP LEARNING BASED VEHICLE LICENSE PLATE DETECTION SCHEME
ABSTRACT
This research developed a license plate and classification scheme using deep learning architecture which utilized transfer learning using pre-trained Convolutional Neural Network (CNN). The developed scheme used images obtained from Caltech dataset, Peking University VehicleID...
5. DEVELOPMENT OF AN IMPROVED SHORT-TERM PEAK LOAD FORECASTING MODEL BASED ON SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE AND NONLINEAR AUTOREGRESSIVE NEURAL NETWORK FOR NIGERIA POWER SYSTEM GRID
ABSTRACT
Electricity demand forecasting is a central and integral process for planning periodical operations and facility expansion in the electricity sector. Demand pattern is very complex due to the highly unpredictable behavior of consumers load consumption. Therefore, finding an app...
6. HARMONICS MITIGATION ON VARIABLE FREQUENCY DRIVE USING SINGLE PHASE SHUNT ACTIVE POWER FILTER CONTROLLED BY ARTIFICIAL NEURAL NETWORK
ABSTRACT
This research presents effect of harmonic generated by variable frequency drives (VFD).In the past, electrical power system equipment and devices were designed to produce nearly sinusoidal voltage and current waveforms. However, nowadays, with much interest and wide spreads of...
7. PREDICTING STUDENTS ACADEMIC PERFORMANCE USING ARTIFICIAL NEURAL NETWORK
BACKGROUND TO THE STUDY
Predicting student academic performance has long been an important research topic. Among the issues of education system, questions concerning admissions into academic institutions (secondary and tertiary level) remain important (Ting, 2008). The...
8. Improving Deep Representations by Incorporating Domain Knowledge and Modularization for Synthetic Aperture Radar and Physiological Data
Abstract
Machine Learning (ML) using Artificial Neural Networks (ANNs), referred to as Deep Learning (DL), is a very popular and powerful method of statistical inference. A primary advantage of deep-learning has been the automatic learning of informative features (that encodes the data...
9. LEARNING FROM NATURAL HUMAN INTERACTIONS FOR ASSISTIVE ROBOTS
ABSTRACT.
In our everyday lives, we interact with agents like personal computers, search engines, cars, etc., and reveal many of our personal choices, biases, and preferences. Improving agents by analyzing their interactions with humans is an active area of research. However, the algori...
10. Predicting High Stress Regions in a Microstructure using Convolutional Neural Networks
Abstract
Origins of failure are often driven by localizations in material response due to the applied stress/strain state. These stress “hot spots” intuitively represent regions that accumulate higher damage than their surroundings, serving as prime locations for crack nucle...
11. DESIGN & IMPLEMENTATION OF A NEURAL MACHINE TRANSLATION SYSTEM (LET’S TALK) FOR THE TRANSLATION OF HYAM TO ENGLISH
ABSTRACT
In Southern Kaduna, the Hyam Community always welcome foreigners every year, due to their friendliness and hospitable nature. They have even welcomed Igbos in the past and when the Hausas wanted to kill them, they hid them and gave them a safe route back to the east. Now with t...
12. DESIGN AND IMPLEMENTATIONOF A MEDICAL DIAGNOSTIC SYSTEM
BACKGROUND OF STUDY
Medical diagnosis, (often simply termed diagnosis) refers both to the process of attempting to determine or identifying a possible disease or disorder to the opinion reached by this process. A diagnosis in the sense of diagnostic procedure can be regarded as an attem...
13. DEVELOPMENT OF AN INTERNET OF THINGS BASED WATER MANAGEMENT SYSTEM USING DECISION TREE AND DEEP NEURAL NETWORK ALGORITHMS
ABSTRACT
Distribution of Water has been a major source of concern all over the world. Despite the fact that water is a scarce commodity, a lot of human activities in terms of poor management such as opening taps when not needed and careless attitudes towards broken pipes contribute to p...
14. APPLICATION OF GEOGRAPHIC INFORMATION SYSTEM TECHNOLOGY IN ANALYSING URBAN DENSIFICATION AND HOUSING MARKET IN BIDA, NIGERIA
ABSTRACT
Urban densification is as a result of increase in the level of urbanisation of a limited area which causes challenges in the housing affordability due to the increase in price of houses, high rental values, high demand and shortage in supply to meet the need of the urban reside...
15. ARTIFICIAL NEURAL NETWORK BASED PREDICTION AND COOLING ENRGY OPTIMIZATION OF DATA CENTERS
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...
16. RAINFALL PREDICTION FOR MINNA METROPOLIS USING ARTIFICIAL NEURAL NETWORK
ABSTRACT
The effect of rainfall in our society today is stupendous. Rainfall is seen as a benefit to crops and lives. Accurate and timely rainfall prediction can be very helpful for effective security measures for planning water resources management, transportation activities, agricultu...
17. INHIBITION OF PLANT LEAF EXTRACTS ON ALUMINUM AND MILD STEEL IN ACIDIC AND ALKALINE MEDIA USING DIFFERENT TECHNIQUES
Statement of the Problem
The obnoxious state of the Nigerian manufacturing sector has created a dire need for accurate bankruptcy prediction models about the overall outlook of companies. This is precipitated on the overbearing consequences of corporate bankruptcy on key stakeholders. P...
18. KINETICS AND ENGINE PERFORMANCE OF BIODIESEL PRODUCED FROM SELECTED NON EDIBLESEEDSOILS USING ACTIVATED CLAY CATALYSTS
ABSTRACT
The kinetics and engine performance of biodiesel from African pear seed oil (APO) and Gmelina seed oil (GSO) by modified clay catalysts were carried out. The catalyst was synthesized by activating it with heat, phosphoric acid and sodium hydroxide. They were characterized using...
19. KINETICS AND OPTIMIZATION OF PHENOL UPTAKE FROM AQUEOUS SOLUTION USING AGRICULTURAL WASTES
ABSTRACT The uptake of phenol from simulated aqueous solution using agricultural wastes as adsorbents is the focus of this research work. The agricultural wastes used were corn cob and rice husk which were modified with tetraoxophosphate V acid (H3PO4) and carbonized to give corn cob activated ca...
20. DEEP LEARNING BASED CERVICAL CANCER DISEASE DETECTION AND CLASSIFICATION MODEL
Abstract
Cervical cancer is the second most common and second most deadly cancer in Ethiopia. The disease's incidence and prevalence are increasing over time due to population growth and aging, as well as an...
