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

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...

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...

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...

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...

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...

AN ENHANCED DYNAMIC TIME QUANTUM MEAN ROUND ROBIN ALGORITHM FOR EFFICIENT RESOURCE ALLOCATION IN CLOUD COMPUTING

Bamaiyi Sule*, Dr. Etemi Joshua Garba, Dr. Yusuf Musa Malgwi

This study presents an impartial scheduling algorithm that allocates the same time quantum to all processes. The selection of time quantum and preemptive strategies significantly impacts the algori...

IMPLEMENTATION OF MACHINE LEARNING-BASED APPROACH FOR THE EARLY DETECTION OF STRESS AND HYPERTENSION IN PREGNANT WOMEN: A REVIEW

Ugwu Edith Angela

The paper presents a review of machine learning approaches for the early detection of Stress and Hypertension (SH) in pregnant women. It discusses the management of SH in pregnant women and its cau...

RANKING OPTIMAL SENSOR NODES IN WSN USING SIMPLE ADDITIVE WEIGHTING (SAW) APPROACH

*Ezeh N.C., Eke James, Ogili S.N.

Wireless Sensor Networks (WSNs) are crucial for various applications, and ranking sensor nodes within these networks is a fundamental challenge. The Simple Additive Weighting (SAW) approach, a Mult...

REAL TIME GUARANTEE: CRITICAL ISSUES IN WIRELESS INDUSTRIAL PROCESS CONTROL - EXPLORING ENHANCEMENT OPTIONS

*Dr. Ulagwu-Echeu A.C.

Ensuring real-time data transfer in Wireless Industrial Control System (WICS) networks has been a persistent challenge, marked by issues such as security vulnerabilities, high power consumption, in...

THE CHALLENGES OF IMPLEMENTING IOT-BASED MONITORING AND CONTROL SYSTEMS FOR OIL PIPELINES

*Ola E.O., Prof. Eke James, Ezeh N.C.

The adoption of Internet of Things (IoT)-based monitoring and control systems in the oil and gas industry offers the promise of revolutionizing pipeline management. These systems have the potential...

IMPROVING JUDICIAL ADMINISTRATION: AN ELECTRONIC COURT CASE MANAGEMENT SYSTEM APPROACH

*Onyia U. C., Olofin B.B., Asogwa T.C.

Recently, the need for efficient case management and the prompt delivery of justice has become increasingly evident as a catalyst to improve the integrity, reliability, and confidence in the Nigeri...

MODELLING OF AN INTELIGENT AUTOMATED IDENTIFICATION SYSTEM FOR TRACKING IN MARITIME SURVEILLANCE SECURITY

Afagha Celestine, *Eke James

Over the years the maritime industries have faced many challenges of insecurity, theft, piracy and maritime terrorism among other problems which have often threatened the lives and peace of onboard...

Kalman Filter Based Sliding Window Approach For Optimized Link Control In 4G Wireless Network

Okoro Patience Njideka*, Eke James and Onuigbo C. M.

This paper presents smart link control scheme for wireless networks based on Kalman filter-sliding window controller. The scheme aims at improving the controller adjustment and the network link qua...