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248 indexed article(s)
The rapid expansion of smart cities and widespread deployment of surveillance infrastructure have highlighted the need for intelligent systems capable of detecting suspicious and criminal activities in real-time. Traditional surveillance sy...
One important issue that is quite relevant to the workplace in the fields of construction, mining, oil and gas, and heavy manufacturing is the problem of workplace safety as employees are often exposed to dangerous conditions. Other models...
This paper proposes a domain-adapted neural machine translation (NMT) system for Amharic-to-English translation, focusing on the issues of low-resource translation in a richly morphologically inflected language. We focus on the religious do...
In the evolving world, automation plays an important role to make the life easier. Enhancing the properties to reduce the time and efforts of human or an organization. The automation is leading to betterment of the world but there are some...
Quantum computers are capable of solving problems that classical computers cannot, particularly in the realm of cryptographic algorithms such as RSA, DSA, and ECC. Post quantum cryptography refers classical cryptographic algorithm that are...
The unforeseen growth of digital services has escalated energy requirements in the world data centers, and an environmental sustainability issue is a hot topic in cloud computing. Conventional parallelism to workload scheduling fails to con...
This research proposes an efficient method for automatic answer quality classification in online web forums using a Multi-Task BERT-Based deep learning framework. The primary objective is to accurately categorize user responses into low, me...
In modern internet commerce and digital retail, fashion classification and visual search are very important jobs. They make it possible to quickly recommend products, find them, and keep track of inventories. Even though deep learning has c...
Financial fraud is a serious problem in the digital economy, with billions being lost each year. Conventional fraud detection schemes are usually insufficient in real-time processing, false positives, and adaptive fraud pattern changes. Thi...
Software defect prediction is a crucial task for improving software reliability and reducing maintenance cost in large-scale software systems. One of the major challenges in defect prediction is severe class imbalance, where defective modul...
Fish diseases are a serious threat to the farming industry. To detect these diseases in the initial stage, a different machine learning model is proposed. This model has focused on identifying the fish diseases based on the water quality. T...
Renewable energy systems are increasingly essential to sustainable power generation because they reduce dependence on fossil fuels and support low-carbon energy transition. However, the performance of solar, wind, and hybrid renewable syste...
The blended learning has become a common practice in higher education, yet its success is commonly assessed with a single measure like student satisfaction, academic achievement, or technology acceptance. The current paper presents a multi-...
The purpose of this research is to design and train a deep learning-based surveillance network that can detect anomalous and suspicious behavior in real time using the Daily Crime Surveillance and Safety System (DCSASS). The system will enh...
Cloud computing has significantly transformed the way people investigate security video images by enhancing the analytical ability of surveillance technology, scaling and efficiency. Ordinary video surveillance systems have limitations in s...
Web service recommendation has become an essential research area due to the rapid growth of cloud computing and service-oriented architectures. Functional similarity alone is insufficient for selecting appropriate web services because multi...
Stock market prediction has emerged as one of the most challenging and important research areas in finance and artificial intelligence. Accurate prediction of stock prices enables investors, financial institutions, and policymakers to make...
The development of intelligent systems for the monitoring, exploration, and administration of underwater environments is made possible by the Internet of Underwater Things (IoUT), which is a revolutionary development in marine and environme...
In the rapidly evolving digital age, voice assistants have become an indispensable tool for enhancing user interaction with technology. This paper explores the design, development, and functionality of a Python-based voice assistant system,...
Emergency management operations increasingly depend on cutting-edge technological solutions to support better disaster response, resource coordination, and recovery. This research uses artificial intelligence (AI) and cloud-based collaborat...
