DESIGN OF REAL-TIME IN-SITU SEISMIC TOMOGRAPHY IN SENSOR NETWORK
Abstract
Seismic tomography is a technique for illuminating the physical dynamics of the Earth by seismic waves generated by earthquakes or explosions. In both industry and academia,...
A MODEL-DRIVEN ENGINEERING FRAMEWORK FOR HEALTHCARE SYSTEMS MANAGEMENT
ABSTRACT
Traditional mathematical methods such as differential equations formalism have been used for centuries as the main tools for the analysis of complex systems in...
HOW MACHINE LEARNING CAN EVALUATE THE INFLUENCE OF SOCIOECONOMIC AND CLIMATIC...
Abstract:
Agricultural productivity is heavily influenced by various socio-economic and climatic factors. Understanding the complex relationships between these factors and agricultural yield is essential for effective decision-making...
NEURAL COLLABORATIVE FILTERING AND AUTOENCODER ENABLED DEEP LEARNING MODELS FOR RECOMMENDER...
Abstract:
Recommender systems play a crucial role in enhancing user experience and facilitating personalized recommendations in various domains, such as e-commerce, social media, and entertainment....
A LIGHTWEIGHT CONVOLUTIONAL NEURAL NETWORK FOR BREAST CANCER DETECTION USING KNOWLEDGE...
Abstract:
Breast cancer is one of the most prevalent and life-threatening diseases among women worldwide. Early detection plays a crucial role in improving patient outcomes...
A PERFORMANT PREDICT ANALYTICS APPROACH TO RECOMMENDER SYSTEMS USING DEEP LEARNING...
Abstract:
Recommender systems have become an integral part of many online platforms, facilitating personalized recommendations and enhancing user experiences. Deep learning methods have shown great...
CLOUD COMPUTING ADOPTION IN NIGERIA UNIVERSITIES
Abstract:
Cloud computing has emerged as a transformative technology in the field of information technology, offering numerous benefits such as improved scalability, flexibility, and cost-effectiveness....
BIDIRECTIONAL SEARCH IN A STRING USING WAVELET MATRIX AND BURROWS WHEELER...
Abstract:
The efficient search and retrieval of information within large strings or texts are fundamental challenges in various fields, including bioinformatics, text mining, and data compression. Bidirectional...
INTEGRATED INFORMATION SYSTEM FOR A FOOD PROCESSING INDUSTRY
Abstract:
The food processing industry plays a vital role in transforming raw agricultural products into value-added food products. To ensure efficiency, traceability, and quality control,...
TEXT RETRIEVAL USING WAVELET TREE
Abstract:
Text retrieval is a fundamental task in information retrieval systems, aiming to efficiently retrieve relevant documents or passages given a user's query. Traditional text...
CASSAVA LEAF DISEASE CLASSIFICATION WITH DEEP LEARNING
Abstract:
Cassava is a vital staple crop in many countries, providing food security and income for millions of people. However, cassava plants are susceptible to various diseases, which can lead to...
AI-ENABLED PNEUMONIA DETECTION SYSTEM
Abstract:
Pneumonia is a significant respiratory infection that poses a significant public health challenge worldwide. Timely and accurate diagnosis plays a crucial role in improving patient outcomes...
MALERIA PREVENTION USING SOCIAL MEDIA AND TEXT MINING
Abstract:
Malaria continues to be a significant global health challenge, particularly in developing countries. The effective prevention and control of malaria require timely and accurate...
DESIGN AND IMPLEMENTATION OF MULTIMEDIA CONTENT ON SMARTPHONE FOR LEARNING AUTOMATA...
Abstract:
The increasing ubiquity of smartphones and the growing demand for mobile learning have provided new opportunities for delivering educational content in innovative ways. This paper presents...
MALWARE CLASSIFICATION INTO FAMILIES BASED ON FILE CONTENTS AND CHARACTERISTICS
Abstract:
Malware continues to pose a significant threat to computer systems and networks, making its detection and classification crucial for effective cybersecurity. This abstract presents an overview of a...
