• DEVELOPMENT OF A DEEP CONVOLUTIONAL NEURAL NETWORKBASED MOBILE APPLICATION FOR DETECTING PNEUMONIA FROM CHESTX-RAY IMAGE 

  DADA, ADEFILA BOLUWAJI (The federal University of Technology, Akure, 2021-11)

  In rural communities, access to reliable healthcare is a major challenge. The rural people depend on traditional remedies to tackle different ailments. Hence, acute inflammation of the respiratory tract caused by viruses ...
• AN INVESTIGATION INTO POWER QUALITY-BASED REINFORCEMENTS AND COSTS FOR SELECTED ELECTRICITY DISTRIBUTION NETWORKS 

  OLAKUNLE, OLUWADARE RAPHAEL (The federal University of Technology, Akure, 2022-01)

  The study aims to provide adequate power quality-based reinforcements for typical electricity distribution networks with the proliferation of non-linear loads and to determine its cost implication to the utility and the ...
• MODELLING AND EVALUATION OF THE PROTECTIVE SYSTEM 

  FALEYE, OLALEKAN PETER (The federal University of Technology, Akure, 2021-06)

  this research, modeling and evaluation of the protective system of Omu Aran/Otun 33 kV feeder network is considered and a search for the protective system improvement is obtained. System data of the feeder network were ...
• DEVELOPMENT OF PATH LOSS MODEL FOR ORANGE FM RADIO STATION IN ONDO STATE, NIGERIA 

  ALABI, KABIR (The federal University of Technology, Akure, 2021-08)

  The measurement of the electric field strength distribution of Orange FM radio station, Akure, Ondo State transmitting on 94.5 MHz was conducted round the stretch of the coverage areas. The latitude, longitude, elevation ...
• INTEGRATION OF SOLAR PHOTOVOLTAIC SYSTEM INTO NIGERIA GRID USING DIgSILENT POWERFACTORY 

  ADELEYE, ADEYEMI OLUWABAMISE (The federal University of Technology, Akure, 2021-12)

  The need to proffer sustainable solution to the present electricity generation crises in Nigeria due to inconsistency in the electricity generation pattern across Nigeria which causes high losses, reactive power issues and ...
• EVALUATION OF DAYLIGHT CONTRIBUTIONS IN THE DESIGN OF LIGHTING FOR LECTURE THEATRES 

  MAKANJU, TOLULOPE DAVID (FEDERAL UNIVERSITY OF TECHNOLOGY AKURE, 2021-07)

  Daylight is a comfortable source of natural light nowadays called renewable energy with variations in luminosity. This research evaluated effectiveness of daylight contributions in lighting design of selected lecture ...
• DEVELOPMENT OF ENERGY CONSUMPTION PREDICTIVE MODEL FROM ACCUMULATED DATA FOR MANAGEMENT AND PLANNING 

  IBIYEYE, ABDULTAWWAB AYOTUNDE (FEDERAL UNIVERSITY OF TECHNOLOGY AKURE, 2021-06)

  Global energy usage has increased due to industrialization and growing energy demand. Current studies revealed that residential building consumes a larger portion of energy generated. The recent deployment of smart meters ...
• DEVELOPMENT OF A COMPUTER AIDED SYSTEM FOR THE TREATMENT OF INSOMNIA BASED ON AUTOMOBILE ENGINE IN-CABIN ACOUSTIC NOISE 

  FALANA, KEHINDE VICTOR (FEDERAL UNIVERSITY OF TECHNOLOGY AKURE, 2021-08)

  This research is aimed at developing a computer aided system for treatment of insomnia based on automobile engine in-cabin acoustic noise. A conventional pharmacologic approach of using sleeping drug has been faulted because ...
• DEVELOPMENT OF A CROWD COUNTING AND DENSITY ESTIMATION MODEL USING CONVOLUTIONAL NEURAL NETWORK 

  ALUBANKUDI, OLAOLUWASENI. (FEDERAL UNIVERSITY OF TECHNOLOGY AKURE, 2021-07)

  A lot of people gather in a particular area for several purposes such as social, political or musical events. Automated crowd analysis can lead to effective and better management of such events to prevent any unwanted ...
• HYBRID PEAK TO AVERAGE POWER RATIO REDUCTION TECHNIQUE IN ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING 

  OYEGOKE, MUIDEEN AYOMIPO (The federal University of Technology, Akure, 2021-09)

  Orthogonal Frequency Division Multiplexing (OFDM) is a multicarrier modulation (MCM) technique that plays a significant role in digital wireless communication. This is due to its ability to provide a high data rate for ...
• DEVELOPMENT OF CONVOLUTIONAL NEURAL NETWORK BASED ALGORITHM FOR COMPUTED TOMOGRAPHY IMAGES OF HUMAN KIDNEY STONE(Renal Calculi) 

  JOSEPH, OROBOSA LIBERT (The federal University of Technology, Akure, 2021-10)

  Computed tomography (CT) scan diagnostics procedures adopt use of image information retrieval system through expertise of radiographer; this is prone to error. Significant height of accuracy is required in healthcare ...
• DEVELOPMENT OF AN IMAGE SURVEILLANCE SYSTEM FOR TRANSFORMER SUBSTATIONS 

  FAJOYE, SAHEED OYERINDE (The federal University of Technology, Akure, 2021-09)

  Vandalism has been an age-long problem in the power sector of Nigeria. It contributes one of the principal dangers to the expected level of efficiency of all the parties involved in power supply right from the Generation ...
• DEEP LEARNING APPLICATION IN TRAFFIC SIGNS RECOGNITION AND DETECTION IN NIGERIA 

  BADMUS, SODIQ ADEDIGBA. (The Federal University of Technology, Akure, 2021-09)

  Mobility is an element that is highly related to the development of society and the quality of individual life. The increase in demand for automobile production and traffic infrastructure construction, advanced countries ...
• DETERMINATION OF THE EFFECTS OF DISTRIBUTED GENERATION (DG) ON FEDERAL UNIVERSITY OF TECHNOLOGY (FUTA) 33/11 kV NETWORK 

  EJIGA, JOSEPH (The federal university of technology,Akure., 2021-07)

  In this research, the Federal University of Technology Akure 33/11 kV Injection Substation Network has been considered under the presence of a distributed generation (DG). The transformer and line data such as phase ...
• DEEP LEARNING APPLICATION IN TRAFFIC SIGNS RECOGNITION AND DETECTION IN NIGERIA 

  BADMUS, SODIQ ADEDIGBA (The federal university of technology,Akure., 2021-09)

  Mobility is an element that is highly related to the development of society and the quality of individual life. The increase in demand for automobile production and traffic infrastructure construction, advanced countries ...
• DEVELOPMENT OF AN IMAGE-BASED DETECTION OF MAIZE LEAF DISEASES USING CONVOLUTIONAL NEURAL NETWORK 

  ADEYEYE, OMOGBEMINIYI ABIMBOLA (The federal university of technology,Akure., 2021-09)

  The area of agricultural information, automatic identification and classification of maize leaf diseases are highly desired and sought-after. One of the major problems facing the agricultural industry as a whole is the ...
• DEVELOPMENT OF A WIRELESS TRANSMISSION SYSTEM FOR ECG SIGNALS USING IEEE802.15.4/ZIGBEE PROTOCOL 

  OLONIBUA, AYODELE ABIODUN (The federal university of technology,Akure., 2014-11)

  Long time encountered by patients in the hospitals sometimes could be frustrating and dangerous in the case of emergency which is as a result of the process involved in data acquisition and transmission to the doctors for ...
• POST-PRIVATIZATION STATUS OF NIGERIA’S ELECTRIC POWER SYSTEM: A CASE STUDY OF AKURE 33kV DISTRIBUTION NETWORK 

  MADU, FRANKLIN CHIBUEZE (The federal university of technology,Akure., 1999-05)

  This research presents a study on the operating status of Akure 33kV distribution network system. The study aimed at evaluating the impact of the Electric Power Sector Reform Programme on the performance of Akure 33kV ...
• ON-LINE CONDITION MONITORING OF SQUIRREL CAGE INDUCTION MOTOR USING CURRENT SIGNATURE ANALYSIS 

  AYOADE, MORUFU ADEWALE (The federal university of technology,Akure., 2010-04)

  This research involves the use of Motor current signature analysis (MCSA) to detect and diagnose induction motor faults. MCSA uses line current spectrum of electromechanical energy conversion system for locating faults ...

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