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International Journal Of Advances In Artificial Intelligent Trends (IJAIT)

Application of Deep Learning Techniques for Automated Healthcare Data Labelling

*ILOFULUNWA C.G., IKE MGBEAFULUIKE

This paper on automated data labeling for health care using integrated deep learning technique was aimed at developing a software application system in medical image classification. To achieve this...

DEVELOPMENT OF A DEEP LEARNING BASED HUMAN COMPUTER INTERACTIVE SYSTEM

*Iluno Amalachukwu C., Ogochukwu C. Okeke, Ike Mgbeafuluike

Quality education is a fundamental right, but individuals with impairments, such as vision loss, often face significant challenges in accessing equitable learning environments. This study focuses o...

MODELLING OF A RECURSIVE POLYNOMIAL ESTIMATOR WITH MACHINE LEARNING TO IMPROVE SAFETY INTEGRITY LEVEL OF PETROCHEMICAL PROCESS DESIGN

*Analo Pius N., James Eke, Eneh I.I.

This paper presents the application of machine learning technique and recursive polynomial estimator for improving the reliability of critical safety instrument system. The aim of the research is t...

MODELING OF A NEURO-LOGIC SOLVER FOR IMPROVED RISK REDUCTION FACTOR IN PETRO-CHEMICAL INDUSTRY

*Analo Pius N., James Eke, Eneh I.I.

This paper presents improving the reliability of critical safety instrument system using mathematical method and machine learning technique. The aim of the research is to improve the reliability of...

Improving the security of the Nigeria 330kv grid network using intelligent margin and sensitivity-controlled fact devices

*Ani Maduka, Prof. Eneh Innocent I., Eze Robert J.

This study aimed to enhance the security of Nigeria's 330kV grid network through the implementation of intelligent margin and sensitivity-controlled FACT devices. Reviewing existing literature reve...

DEVELOPMENT OF FEED FORWARD NEURAL NETWORK-BASED VEHICLE ACCIDENT PREVENTION SYSTEM

Ugwu Edith Angela

This paper addresses a pressing issue in Nigeria's transportation landscape and proposes an innovative solution using artificial intelligence. The ban on motorcycles due to high crime rates has led...

IMPLEMENTATION OF SUPPORT VECTOR MACHINE ALGORITHM FOR THE CLINICAL DIAGNOSIS OF BREAST CANCER

Ugwu Edith Angela

Over the years, the increasing incidence of mortality among women due to breast cancer has posed a significant challenge, necessitating urgent solutions. While numerous studies have attempted to ad...

UNRAVELING 5G NETWORKS: EXPLORING CONGESTION MANAGEMENT AND QUALITY OF SERVICE DYNAMICS

*Nebo A.N., Olofin B.B., Asogwa T.C.

The proliferation of 5G networks has revolutionized communication paradigms, introducing unprecedented speeds and connectivity. However, the dense deployment of heterogeneous networks and the surge...

IMPROVING THE PERFORMANCACE OF SMART FARM PEST MONITORING AND CONTROL SYSTEM USING MACHING LEARNING TECHNIQUE

*Enya G.N, **Onoh G.N, ***Abonyi D.O

This paper introduces a smart farm pest monitoring and detection system utilizing machine learning techniques. The objective of this study is to develop an intelligent system for monitoring and det...

IMPROVING POWER OUTPUT GENERATION FROM BIOGAS PLANT USING SIMPLEX OPTIMIZATION TECHNIQUE

*Omeje U.C., **Ilo F.U.

This paper presents improving power output generation from biogas using simplex optimization technique. This aim is to address the issues of poor power supply at Amapa community, Benue state due to...

MODELLING OF REAL TIME FLOOD DETECTION AND CONTROL SYSTEM USING MACHINE LEARNING TECHNIQUE

*Ebere Uzoka C, **Eke James

This paper presents the modeling of a real-time flood detection and control system using machine learning techniques. The experimental and simulation methodology was employed to achieve the objecti...

Development Of a Predictive Machine Learning Model For Diabetes Using Stacked Ensemble Approach

*Thompson Ekemini, **Joshua Agbogun, ***Nwogwugwu Benjamin

Diabetes is a global health concern with millions of new cases annually. Early detection of the disease can prevent its progression and complications. In this study, we developed a prediction model...

DEVELOPMENT OF SHORT-TERM LOAD FORECASTING SYSTEM FOR DEMAND SITE MANAGEMENT OF TRANS-EKULU 33/11KVA DISTRIBUTIVE TRANSFORMER USING ARTIFICIAL INTELLIGENCE

*Elom Hyginus U., **Ibekwe Basil

This paper presents the development of an artificial intelligence-based short-term load forecasting system for demand site management of the Trans-Ekulu 33/11KV, 15MVA distributive transformer. Emp...

Minimizing Energy Consumption using IoT based Smart Technologies: A Smart Home Scenario

*Eze, Marcel N., *Onuigbo, Chika M., and *Iyidiobi Jonathan C.

This paper presents a model called Energy Management System (EMS) for minimizing energy consumption in smart homes. IoT sensors are installed throughout the building to provide real-time energy usa...

SIGNATURE BASED DETECTION FOR CLOUD BASED LOG MANAGEMENT USING MACHINE LEARNING TECHNIQUE

*Ogili Solomon Nnaedozie

This paper presents signature based detection mechanism for cloud based log management using machine learning technique. The study aimed at detecting unauthorized log entry files into the cloud ser...

IMPROVING THE QUALITY OF POWER SUPPLY IN DISTRIBUTION NETWORK USING A GENETIC-BASED STATIC VAR COMPENSATOR

*Igodo Ogbonna Ofure, **F. U. ILO

This paper presents improving the quality of power supply in a distribution network using a genetic-based SVC. The research methodologies used in this study were experimental and simulation approac...

IMPROVING THE ACCURACY OF FAULT DETECTION IN A DISTRIBUTION TRANSFORMER USING AN INTELLIGENT TELEMETRIC SCHEME

*Osim Uchenna P. **Ilo F.U

A power transformer is the major and essential component of power systems which are usually intended to contain about 30-years working life span. The idea of power system protection is to notice fa...

DEVELOPMENT OF GHOST WORKERS DETECTION SYSTEM USING BIOMETRIC BASED CONVOLUTIONAL NEURAL NETWORK

*Nzeh Chika D., **Inyama Hyacinth C.

This paper presents the development of ghost workers detection system using biometric based convolutional neural network. The study started with literature review of related works which revealed th...

DEVELOPMENT OF A CARDIOVASCULAR HEART DISEASE CLASSIFICATION MODEL USING NEURAL NETWORK BASED DATA MINING TECHNIQUE

Ezigbo L.I., Okonkwo R.O., Nwobodo L.O

This paper presents the development of a cardiovascular heart disease classification model using neural network based data mining technique. The aim was to develop a classification model for the de...

IMPROVING THE PROTECTION OF 330KV TRANSMISSION LINE AGAINST TRANSIENT INSTABILITY USING INTELLIGENT SOLID STATE RELAY

Ogbuagu C., Alor M.O., and Ugwu K.I.

This paper presents improving the protection of 330KV transmission line against transient instability using an intelligent solid state-based protection schemeâ€™. Sustained faults have been id...