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International Journal Of Real-Time Applications And Computing Systems (IJORTACS)

MODELING AND CONTROL OF VEHICULAR TRAFFIC SYSTEMS USING ARTIFICIAL INTELLIGENT NETWORK

Utibe-AbasiAbia Udoh, Umana Thompson Itaketo, Udofia Kingsley M., OgbonnayaIrukwu Joe

Artificial intelligence (AI) has emerged as a transformative tool in addressing complex urban challenges, including traffic congestion in densely populated metropolitan areas. This study explores t...

THE REVOLUTION OF THE EDUCATIONAL SECTOR BY MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE

Nnenna Harmony Nwobodo-Nzerebe, Aghaizu Herman Chijioke,

This paper reviews the impacts of machine learning and artificial intelligence technology to improve the educational sector and teaching/learning efficiency. In the study, a systematic review and m...

OPTIMIZING NETWORK RADIO RESOURCE MANAGEMENT USING MACHINE LEARNING TECHNIQUE FOR TRAFFIC IMPROVEMENT

Nnenna Harmony Nwobodo-Nzerebe, Ebere Uzoka Chidi

In the world of communication networks, which provide services to a variety of highly demanding applications, effective resource allocation is essential to guaranteeing maximum efficiency and user ...

DEVELOPMENT OF AN INTELLIGENT FILELESS MALWARE CLASSIFICATION SYSTEM USING OPTIMIZED DEEP LEARNING TECHNIQUE

Nwafor Anthony C*, Mgbeafulike I.J., Okeke O.C.

Fileless malware is a significant cybersecurity threat because of its ability to operate without traditional file-based signatures which makes it challenging for conventional security techniques to...

MULTIMODAL BIOMETRIC RECOGNITION SYSTEM USING DEEP CONVOLUTIONAL NEURAL NETWORK

*Ekpo Michael E.

This study presents a Deep Convolutional Neural Network (Deep CNN) model for multimodal biometric recognition, integrating facial and gait features to enhance person identification, especially in s...

ADVANCE DEEP LEARNING MODEL FOR DIGITAL SEGMENTATION OF PANCREATIC CANCER

Anameje Chinwe A.*, Ike Mgbeaafulike

Pancreatic Cancer (PC) is among the deadliest forms of cancer, with a high mortality rate due to its often-late diagnosis. Early detection plays a critical role in improving survival rates, but thi...

CRITICAL STUDY OF THE OOP, FEATURES, IMPLEMENTATION AND ATTRACTED STRENGHTS TO JAVA PROGRAMMING LANGUAGE

P.E. Kekong *, Ewhenke B. Kekong, Michael E. Ekpo

The Java programming language's Object-Oriented Programming (OOP) characteristics are thoroughly examined in this paper, along with their benefits and drawbacks. The cornerstone for creating reliab...

IMPROVING THE PERFORMANCE OF HUB BASE TRANSCEIVER STATION USING HYBRID OF ADAPTIVE INTERFERENCE CANCELLER AND HIBERNATION MODE TECHNIQUE

Samuel C. Anih*, J. Eke, Emetu Chukwuma Kalu

The paper proposes a hybrid of adaptive interference canceller and fuzzy hibernation controller for improving the performance of a hub base transceiver station. The research involved analyzing the ...

SMART CYBER THREAT DETECTION AND MITIGATION USING DEEP PACKET INSPECTION AND DECEPTION BASED MACHINE LEARNING TECHNIQUE

OgbonnayaIrukwu Joe*, Kufre M. Udofia, Akaninyene Bernard Obot.

The increasing complexity of cyber threats has made traditional network defence mechanisms inadequate; especially in smart environments handling high-volume data traffic. Modern-day attackers utili...

APPLICATION OF ADAPTIVE CONTROL SYSTEM FOR SATELLITE NAVIGATION OPTIMIZATION USING NEURAL NETWORK

*Harbor M.C and Fatai O.A.

Satellite Attitude Determination and Control Systems (ADCS) are critical for maintaining satellite stability and accurate orientation while in orbit. This paper focuses on the Nigeria ThinSat-1A an...

DEVELOPMENT OF AN INTELLIGENT ROBOTIC GRIPPER FOR OBJECT MANIPUTATION USING ADAPTIVE CONTROLLER

Engr. Dr. Harbor M.C.(Ph.D.)

This study presents development of an intelligent robot gripper for précised object manipulation using adaptive controller. The aim was to counter the impact of slip and position displacement cons...

DEVELOPMENT OF A DEEP LEARNING MODEL FOR THE PREVENTION AND CONTROL OF ROAD ACCIDENT

Engr. Dr. Harbor M.C.(Ph.D.)

This paper describes the development of a convolutional neural network (CNN) based vehicle accident prevention and control system which is developed to improve vehicle safety by providing real time...

The Future of Network Security in Developing Economies: Challenges and Opportunities

Ifeanyi Damian Udeani*, Dorathy Obianuju Abonyi

The speed at which developing economies are adopting cloud technologies has begun redefining not only industries but also public services. With this change comes the much-touted promises of cost, f...

CLASSIFICATION MODEL FOR CARDIOTOCOGRAM MACHINE USING FEED FORWARD NEURAL NETWORK

*Pius Ekwo Kekong, Kwubeghari Anthony., Chiawa Chidimma

One of primary concerns during pregnancy is the challenge of accurate monitoring of Fetal Heart Rate (FHR) and interpretation of cardiogram data to help determine the condition of the baby. The aim...

A Novel Method for Medical Image Classification

*Tanima G., Jayanthi N.

Breast cancer stands out as one of the most noticeable and impassive diseases worldwide, primarily affecting women. Detecting it at its initial stage is crucial for an effective management. Many ca...

DATA-DRIVEN APPROACHES TO EDUCATIONAL EQUITY: PREDICTING AND RESOLVING GENDER-BASED ACADEMIC DISPARITIES

*Omeye, Emmanuel C., Anyaragbu Hope U.

This research addresses gender disparity in academic achievement through an innovative approach, integrating predictive analytics and strategic mitigation strategies. Employing Python and Spyder as...

Technological Incubation Center Information Management System And Data Visualization Using Ontology And Data Integration

*Okolo George Nnaemeka, Okorie Kingsley, Okebanama Frank

Technological Incubation Centers (TICs) are vital institutions for fostering entrepreneurship, innovation, and economic development, particularly in emerging economies. In Nigeria, however, the lac...

A SMART ADVERSARIAL THREATS DETECTION SYSTEM USING HYBRID OF BIGAN-BIGRU TECHNIQUE

*Ojiako F.N., Mgbeafulike I.J., Okeke O.C

The study presents modelling a smart adversarial threats detection system using hybrid of Bi-Directional Generative Adversarial Network (Bi-GAN) and Bi-Directional Gated Recurrent Unit (Bi-GRU). Th...

DEVELOPMENT OF AN INTELLIGENT AND SECURED MODEL FOR A CLOUD-BASED DETECTION OF ADVERSARIAL ATTACKS USING ARTIFICIAL NEURAL NETWORK

*Okonkwo Chinonso J., Ogochukwu C. Okeke

To identify and mitigate adversarial attacks, this paper explores the development of an intelligent and secure model for a 5G cloud-based facility utilising Artificial Neural Networks (ANN) and sop...

DEVELOPMENT OF A DEEP LEARNING TECHNOLOGY TO IMPROVE HUMAN-COMPUTER INTERACTION FOR VISUALLY IMPAIRED

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

Accessing equitable learning settings can be extremely difficult for people with disabilities, such as vision loss, despite the fact that receiving a high-quality education is a fundamental right. ...

INTELLIGENT MEDICAL IMAGE DATA LABELLING HEALTHCARE AUTOMATION USING DEEP LEARNING TECHNIQUE

*ILOFULUNWA C.G, AKUNNE O.E

The goal of this paper was to create a software application system medical image classification through automated data labelling for healthcare utilising an integrated deep learning technique. The ...

IMPROVING THE QUALITY OF SERVICE OF A COGNITIVE RADIO NETWORK THROUGH SPECTRUM SENSOR OPTIMIZATION

*Agbo Kenechukwu M., Mba Chioma., Oliokwe Bibian N.,

The underutilization of the constrained spectrum by the fixed channel allocation strategy and the increasing demand for seamless wireless services provide several challenges for wireless communicat...

Enhancement of Frequency Stability of the Nigeria 330kV Transmission Network using Intelligent SSVC.

*Chukwuegbo, A. E., Eleje, N. E., Omeche, A. A.

The Nigerian power sector is grappling with significant frequency instability in its 330kV transmission network, a challenge intensified by aging infrastructure and rising electricity demand. This ...

Frequency Stability of the Nigerian 330kV Transmission Network using ANN Controller

*Chukwuegbo, A. E., Eleje N.E., Ezeh N. C.

The Nigerian power sector faces frequent frequency instability issues that disrupt the balance between electricity supply and demand, causing power outages. This study investigates the enhancement ...

INTELLIGENT TECHNIQUE FOR STABILIZING THE RESPONSE TIME OF TRANSMISSION LINE PROTECTION RELAY

*Eze Robert John, Ani Maduka

It is impossible to develop a fault free system, regardless of how perfect the design might be, as time improves the system reliability and mean time to failure comes into place. This is not an exc...

THE USE OF MACHINE LEARNING MODEL FOR AUTOMATIC DETECTION OF ROAD TRAFFIC SIGNS

*Oji Nkechi Blessing

This study introduces an improved method for traffic sign detection and recognition, specifically designed for complex urban environments and varying lighting conditions. The proposed system is str...

DEVELOPMENT OF A HYBRID INTELLIGENT MODEL FOR CONTRACT LITIGATION

*Nnaemeka C. Onyemelukwe, Ogochukwu C Okeke

The background of the study centres on the challenges faced in contract litigation due to the complexity and volume of legal documents involved. Traditional methods of legal text analysis are often...

DESIGN AND PERFORMANCE OPTIMIZATION OF CAMPUS WI-FI NETWORK (CASE STUDY OF UNIZIK)

*Ekwueme John C., Idigo V.E

A Wi-Fi network is a wireless local area network designed to provide internet connectivity to people within a particular area. In the context of this study, the University of Nnamdi Azikiwe (UNIZIK...

MODELLING OF AN INTELLIGENT VIRTUAL POWER PLANT FOR OPTIMAL ENERGY NETWORK MANAGEMENT AND CONTROL USING MACHINE LEARNING TECHNIQUE

Ozoani Uchechukwu I., Eneh Innocent. I., Ani Okwuchukwu Innocent

This paper presents the modeling of an intelligent virtual power plant for optimal energy network management and control using machine learning techniques. The aim is to present a system that can c...

RESEARCH ON ENHANCING THE PERFORMANCE OF 4G DATA SWITCHED NETWORKS USING THE KNOCKOUT PRINCIPLES AND PARALLEL FABRICS

*Akpan Idongesit T., Prof. Eneh I.I., Princewill Eneh, Ohagwu Walter Akachukwu

This research is focused on enhancing the performance of data switched networks using the knockout principle and parallel fabrics. The high demand of data during peak hours through the internet and...