• MOTION PATH PLANNING OF MOBILE ROBOT USING REINFORCEMENT LEARNING ALGORITHM 

  OSHO, ADENIKE BILIKISU (FEDERAL UNIVERSITY OF TECHNOLOGY AKURE, 2021-10)

  Path planning has applications in many areas, for example, industrial robotics, autonomous systems, virtual prototyping, and computer-aided drug design. Much research has been done on path planning especially in the robotic ...
• GEOFENCE-BASED SYSTEM FOR THE PREVENTION OF HUMAN KIDNAPPING 

  OGUNFEITIMI, OLAYINKA, OLUWASEUN (FEDERAL UNIVERSITY OF TECHNOLOGY AKURE, 2021-05)
• FUZZY LOGIC MODEL FOR CANDIDATE RATING AND SELECTION IN FINANCIAL INSTITUTION RECRUITMENT PROCESSES 

  IDOWU, AYOWOLE OLUWATAYO (FEDERAL UNIVERSITY OF TECHNOLOGY AKURE, 2021-11)

  The traditional ways of candidate selection and recruitment are prone to subjectivity, imprecision and vagueness. With a view to achieving objective and precise selection and recruitment while keeping up with technological ...
• A LATTICE CRYPTOGRAPHY AND FOG COMPUTING-BASED MODEL FOR PRIVACY PRESERVATION OF MEDICAL BIG DATA 

  FATOKUN, YEMI TUNRAYO (FEDERAL UNIVERSITY OF TECHNOLOGY AKURE, 2021-08)

  The expanding success of cloud computing in the management of Electronic Health Records (EHRs) also comes with loads of challenges, especially those that bothers on the preservation of users’ privacy, personal data ...
• PRIVACY PRESERVING RECOMMENDER SYSTEM FOR DEPRESSED PATIENTS 

  FAMILOYE, EMMANUEL OLUWATOSIN (FEDERAL UNIVERSITY OF TECHNOLOGY AKURE, 2022-01)

  Information is found of great importance in today’s world. This has greatly increased in the health domain which makes patients with one problem or the other seek solutions to their ailing health (problems) on the internet. ...
• GENETIC ALGORITHM BASED INVENTORY CONTROL AND MANAGEMENT SYSTEM 

  ALIMI, SHAKIRAT ADEOLA (FEDERAL UNIVERSITY OF TECHNOLOGY AKURE, 2021-11)

  The success of any business hinges on its ability to meet customer expectations. Meeting customers’ expectation has to do with the ability to deliver the right products and services to the right place and people and it is ...
• BEST-FIT STRATEGY FOR OPTIMAL LOCATION OF TELECOMMUNICATION MAST USING HYBRID GENETIC-CUCKOO SEARCH ALGORITHMS 

  AKANNO, KEVIN OBINWANNE (FEDERAL UNIVERSITY OF TECHNOLOGY AKURE, 2022-01)

  The throughput and signal strength of a telecommunication system depends largely on effective installation of communication infrastructure especially the telecommunication mast so as to boost and support wider population. ...
• DEVELOPMENT OF A NEURAL NETWORK MODEL FOR DIAGNOSING MALARIA FEVER 

  ADEYEMI, ADEOLA RUTH (FEDERAL UNIVERSITY OF TECHNOLOGY AKURE, 2022-01)

  Malaria remains one of the major threats to public health and economic development, accounting for deaths of millions of people annually. Diagnosis of malaria fever has been inaccurate in many cases owing to factors such ...
• A DIET RECOMMENDATION SYSTEM FOR SCHOOL-AGED CHILDREN 

  UMOREN, UDUAKOBONG MFONISO (FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE, 2021-08)

  People in every walk of life have need for good recommendations to aid them in decision making hence the need for computer-based recommender systems which are developed to make up for human inadequacies and solve the ...
• DEVELOPMENT OF A PREDICTIVE FRAMEWORK FOR LITHOLOGY AND ENTRAPPED FLUID IN OIL AND GAS WELL 

  OWOSENI, ALABA TIMOTHY (FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE, 2021-08)

  Adaptive neuro-fuzzy inference system (ANFIS) is useful in predicting outcomes of event, process or system with its effectiveness relying on some factors most especially its set of rules that models data behaviour, and ...
• ASSOCIATION RULE BASED ANOMALY DETECTION IN DIABETIC PATIENTS’ DATA. 

  OWOJORI, OLUSOLA FLORENCE (FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE, 2021-02)

  Discovering interesting patterns within symptoms of diabetes mellitus data remains a major data mining application. This paper presents an association rule based approach towards detecting anomalies in diabetes mellitus ...
• MONTE CARLO GAME THEORETIC APPROACH FOR CYBER ACCESS CONTROL 

  ONI, PATRICIA YETUNDE (FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE, 2021-09)

  Access control is a major mechanism in computer network security as it serves as gateway for integrity, confidentiality and availability of information. Computing environment grows enormously daily as well as information ...
• DEVELOPMENT OF A MULTI-LEVEL SECURITY MODEL FOR MOBILE PAYMENT SYSTEM 

  OLADAPO, MOBOLAJI FOLASADE (FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE, 2021-10)

  The emergence of mobile commerce has created new financial needs that in many cases cannot be effectively fulfilled by the traditional payment systems. In mobile payments, the core is authentication, which is a critical ...
• ADAPTIVE CHANNEL ALLOCATION TECHNIQUE FOR QUALITY OF SERVICE IN GSM NETWORKS 

  OJO, OLUWATOSIN RAPHAEL (FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE, 2021-09)

  Wireless technology has progressed significantly over time. The reason for this growth is the allowance of mobility and access in many areas of applications. The transfer of high-speed data with advanced mobile phones ...
• DEVELOPMENT OF AN INTELLIGENT TRAFFIC INFORMATION SYSTEM USING INTERNET OF THING (IoT) 

  JEGEDE, OLUWAKEMI CHRISTIANAH (FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE, 2021-09)

  The Traffic congestion in the urban area happens to occur more frequently than it does in the past due to higher rate of road vehicle users. The traditional traffic light system makes use of a predefined timer which is ...
• A THREE-DIMENSIONAL FACE IDENTIFICATION SYSTEM USING BLOCK-WISE STATISTIC-BASED FEATURES AND KERNEL SPARSE REPRESENTATION 

  FILANI, SIMILEOLU ARAOLUWA (FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE, 2021-10)

  Three dimensional (3D) face recognition has the potential to achieve better accuracy than its two dimensional (2D) counterpart by measuring geometry of rigid features on the face. This avoids such pitfalls of 2D face ...
• CLOUD BASED FOREST LANDSCAPE SPATIAL DATA MODELING 

  ESSIEN, NSIDIBEABASI ENOBONG (FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE, 2021-09)

  Cloud computing is Internet based computing where virtual shared servers provide software, infrastructure, platform, devices and other resources and hosting to customers on a pay-as- you use basis. Cloud computing is ...
• DEVELOPMENT OF CREDIT SCORING MODEL FOR BORROWERS USING MACHINE LEARNING TECHNIQUES 

  EKONG, REBECCA ETIM (FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE, 2021-09)

  Financial organizations such as banks have experienced an increase in demand for loans from borrowers over the years. These organizations are highly interested in knowing whether a borrower can pay back if granted the ...
• DEVELOPMENT OF AN INTRUSION DETECTION SYSTEM USING SUPPORT VECTOR MACHINE AND DECISION TREE. 

  BOBADE, OMOLOLA MARGARET (FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE, 2021-10)

  The continual release of new network attack patterns, and the increasing complexities of these attacks have craved for a secured network. In recent times, machine learning-based intrusion detection systems (ML-IDS) have ...
• ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM BASED UBIQUITOUS LEARNING MIDDLEWARE FOR NORMAL AND HANDICAPPED LEARNERS 

  AMODU, KEHINDE BABASOJI (FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE, 2021-05)

  Lack of standard learning infrastructures in tertiary and secondary institutions in most developing countries has made learning cumbersome as most available learning environments were designed to cater mainly for normal ...

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