PROCEEDINGS – Page 4 – Digital Library

IMPLEMENTATION OF EHEALTH FRAMEWORK FOR MEDICAL IMAGE ANALYSIS USING HUMAN-CENTRED ARTIFICIAL INTELLIGENCE FOR CARDIOVASCULAR DISEASES

Oct 4, 2024Nigeria Computer Society

ABSTRACT Human-centered artificial intelligence (HCAI) is pivotal for timely diagnosis and prediction of ailments such as hypertension, stroke, and diabetes. This paper explores HCAI’s role in early disease detection and immediate treatment solutions for detected diseases. By designing transparent, ethical, and interactive systems, HCAI ensures the best interests of humans are upheld. Leveraging machine learning

IDENTIFICATION OF CASSAVA LEAF DISEASES BASED ON OPTIMIZED SUPPORT VECTOR MACHINE

Oct 4, 2024Nigeria Computer Society

ABSTRACT Cassava is one of the principal crops farmed and extensively consumed in Nigeria, especially in the Southwest. While cassava is widely used and gives many households a source of income, it is prone to several diseases, including cassava brown streak disease (CBSD) and cassava bacterial blight disease (CBBD). Farmers find it very difficult to

Enhancing Privacy in Mobile Social Networks: A Novel Approach Utilizing FRS and ABE-CP Algorithm for Improved Protection

Oct 4, 2024Nigeria Computer Society

ABSTRACT The increasing numbers of social network users have grown recent. Users share vast information due to different services on networks. Among the vital challenges these networks faced include unauthorized access, privacy violation by network providers, malicious attacks etc. Researchers have explored several ways to curb with these challenges to include encryption, policies, anti malwares

ENHANCED ADVANCED ENRYPTION STANDARD (AES) WITH RANDOMIZED ROUND KEY AND SHIFT ROWS OPERATIONS

Oct 4, 2024Nigeria Computer Society

ABSTRACT To prevent unauthorized access to data in transit, cryptographic methods are increasingly utilized. The most popular symmetric cryptographic technique is the Advanced Encryption Standard (AES). Due to its popularity, the algorithm become susceptible to cryptanalysis and brute force attacks as shown in several studies, hence the need to strengthen the algorithm. An enhanced AES

EFFECT OF AUTOMATIC TELLER MACHINES (ATM) ON CUSTOMER SATISFACTION ON BANKS CUSTOMERS IN SAMARU ZARIA, KADUNA STATE

Oct 4, 2024Nigeria Computer Society

ABSTRACT Technology has obviously improved the speed, efficiency and productivity in various sectors of human endeavours. The impacts of these technological innovations are far reaching and promising. The introduction of Automatic Teller Machines into the banking sector in Nigeria gave a huge relief for both bank staff and their customers. Several banking transactions could be

DIGITAL TWIN TECHNOLOGY FOR SMARTHEALTHCARE SYSTEM

Oct 4, 2024Nigeria Computer Society

ABSTRACT Digital Twin represent a significant advancement in technology, broadening the scope of digital models to encompass tangible items or intricate operations. Within the healthcare domain, a digital twin constitutes an exact virtual counterpart of the complete human anatomy or elaborate procedures, empowered by live data feeds. It employs sophisticated computational techniques to emulate and

DETECTION OF IMAGE-BASED CASSAVA DISEASES USING DEEP LEARNING ALGORITHM

Oct 4, 2024Nigeria Computer Society

ABSTRACT In this paper, we proposed a novel method for detecting cassava plant diseases through deep learning models to reduce the drawbacks of traditional ways and improve food security across the globe in cassava-dependent areas. Both models were prepared on a high-resolution dataset for a variety of disease states, and other limitations linked to overfitting,

DESIGN OF AN INTEGRATED MODEL FOR ENHANCING PUBLIC CLOUD SECURITY AND PRIVACY

Oct 4, 2024Nigeria Computer Society

ABSTRACT The Cloud has gained so much attention in recent years. This is not unconnected to the numerous benefits associated with cloud storage and retrieval. However, sensitive data being stored in the cloud are today facing numerous challenges including unauthorized access, data breaches and cyber-attacks. Existing models in literature have failed to address the gap.

Delay Network Performance Enhancement Distributed Model for LTE and WiMAX in Wireless Communication System Using Distributed Model

Oct 4, 2024Nigeria Computer Society

ABSTRACT Worldwide Interoperability for Microwave Access (WiMAX) and Long-Term Evolution (LTE) Networks are one of the best wireless networks designed to facilitate quick and efficient communication among internet users for resource sharing and access. Several research have attempted to alleviate the Network Delay problem for users by proposing a number of solutions in the area

Comparative Study of Random Forest and Decision Tree Model for Loan Default Prediction

Oct 4, 2024Nigeria Computer Society

ABSTRACT It remains an overwhelming task for financial institutions and banks to predict clients who will not redeem their loan. Several machine learning algorithms in literature have been applied to address the problem of misclassification in prediction models. This research applies classical machine learning algorithms; Random Forest (RF) and Decision Trees (DT) algorithms to predict