MACHINE LEARNING TEXT ANALYZER – TEXT CLASSIFICATION USING SUPERVISED AND UN-SUPERVISED...
Abstract:
Machine learning techniques have revolutionized the field of natural language processing, enabling the development of advanced text analysis systems. Text classification, a fundamental task in natural language...
DESIGN OF A NEURAL NETWORK ARCHITECTURE FOR TRAFFIC LIGHT DETECTION IN...
Abstract:
The increasingly widespread adoption of autonomous vehicles has created a pressing need for accurate and reliable traffic light detection systems. Traffic light detection is...
SMART MULTIMEDIA LEARNING SYSTEM FOR AUTOMATA THEORY
Abstract:
Automata Theory is a fundamental subject in computer science and plays a crucial role in understanding the principles of computation and formal languages. Traditional approaches to...
SPIKING NEURAL NETWORK ARCHITECTURE DESIGN AND PERFORMANCE EXPLORATION TOWARDS THE DESIGN...
Abstract:
Spiking Neural Networks (SNNs) have gained significant attention in recent years due to their ability to model the dynamic behavior of biological neural networks more accurately. This abstract...
TRUST AWARE RECOMMENDER SYSTEM FOR SOCIAL CODING PLATFORMS (GITHUB CASE STUDY)
Abstract:
Social coding platforms, such as GitHub, have revolutionized the way software developers collaborate and contribute to open-source projects. These platforms host millions of repositories...
A PREDICTIVE MODEL FOR ELECTRICITY CONSUMPTION IN UNIVERSITY CAMPUSES USING ARTIFICIAL...
Abstract:
The efficient management of electricity consumption in university campuses is crucial for sustainability, cost reduction, and environmental impact mitigation. This study presents a predictive...
A REAL TIME DATA STREAM PROCESSING MODEL FOR A SMART CITY...
Abstract:
The rapid advancement of technology and the proliferation of Internet of Things (IoT) devices have paved the way for the development of smart cities....
ADAPTIVE MULTIMEDIA LEARNING FRAMEWORK WITH FACIAL RECOGNITION
Abstract:
The rapid advancement of multimedia technologies and the growing availability of facial recognition systems have opened up new opportunities for enhancing learning experiences. This abstract...
APPLYING EMERGING DATA TECHNIQUES AND ADVANCED ANALYTICS TO COMBAT CYBER THREAT
Abstract:
As the digital landscape continues to evolve, organizations face increasingly sophisticated and persistent cyber threats that pose significant risks to their operations, data security, and reputation....
DEEP LEARNING FOR FILTER EXTRACTIONS
ABSTRACT
Deep learning algorithms have revolutionized various domains, including computer vision and natural language processing. One area where deep learning has shown remarkable success is filter extraction. Filters...
APPLYING DEEP LEARNING METHODS FOR SHORT TEXT ANALYSIS IN DISEASE CONTROL
Abstract:
Short text analysis plays a crucial role in disease control by providing valuable insights into the identification, monitoring, and prevention of various health conditions....
A FRAMEWORK FOR NATION-WIDE INTEGRATION OF BIOMETRIC INFORMATION
Absract:
As biometric technologies continue to advance, there is a growing need for a comprehensive framework that enables the seamless integration of biometric information at a national...
STUDY AND IMPLEMENTATION OF WIRELESS SENSOR NETWORKS TO MANAGE ENERGY IN...
Abstract:
The rapid advancement of technology and the increasing demand for energy-efficient solutions have led to the development of smart homes. Smart homes are equipped with various...
DEVELOPMENT AND DESIGN SPACE EXPLORATION OF DEEP CONVOLUTION NEURAL NETWORK FOR...
Abstract:
Deep Convolutional Neural Networks (CNNs) have revolutionized the field of computer vision and image recognition, achieving remarkable performance in various image classification tasks. This...
ENHANCING PREDICTION ACCURACY OF A MULTI-CRITERIA RECOMMENDER SYSTEM USING ADAPTIVE GENETIC...
Abstract:
The rapid growth of online platforms and the abundance of available information have led to an overwhelming number of choices for users. Recommender systems...
