A traffic light detection dataset is used to evaluate the performance of the latest version of YOLOv8. Using this dataset and an ideal you only look at once (yolo), we can create a data-driven traffic light detection system that has both high detection ...

Recent years have seen a significant increase in interest in dermatological pictures for the detection and identification of skin diseases due to the rising prevalence of skin disorders. This study compares three widely used deep learning models—VGG-16, ...

This paper introduces a novel end-to-end framework for story generation utilising deep neural networks. Generating text belongs to a vital part of Natural Language Processing (henceforth, NLP), and different areas of its applications, including creative ...

In the ever-evolving landscape of financial markets, the pursuit of accurate stock price predictions remains a formidable challenge. This study addresses the challenge of profitable stock market predictions by exploring modified HMM approaches involving ...

The evolution of conversational agents, in particular the case with chatbots, has experienced huge boosts in recent years, enabling a variety of tasks and allowing users to enjoy much more interaction. This research presents a sequential model for a ...

One of the routine exercises to manage and improve the performance and utility of the cloud is the migration or transfer of cloud data whether it is large or small. However, it is extremely challenging to protect both data privacy and integrity ...

The cloud-computing paradigm based on containers has progressively grown in recent years as a flexible strategy that has proven to be energy efficient. The increasing usage of the container as a service technology in data centers (DCs) among cloud ...

Internet of Things (IoT) involves wide-ranging devices connected through the Internet with an aim to enable coherent communication amongst them without human intervention to realize profuse smart applications which inherently makes our life a lot ...

Cloud computing is a commercial and economic paradigm that has gained traction since 2006 and is presently the most significant technology in IT sector. From the notion of cloud computing to its energy efficiency, cloud has been the subject of ...

The internet is expanding its viewpoint into each conceivable part of the cutting-edge economy. Unshackled from our web programs today, the internet is characterizing our way of life, regardless of whether it's sitting in front of the TV or ...

Software testing is a vital part of software development. One would like to decrease work and get the most out of the number of faults detected. For optimisation problems, test case production is used. Program checking for major problems in regular ...

Autonomic resource management on cloud is a challenging task because of its huge heterogeneous and distributed environment. There are several service providers in the cloud to provide a different set of cloud services. These services are delivered ...

As per data available on WHO website, COVID-19 patients on 20 June 2020 have surpassed the figure of 8.7 million globally and around 4.6 lakhs have lost their life. The most common diagnostic test for COVID-19 detection is a Polymerase Chain Reaction (PCR)...

Due to the rapid growth of dependency over Mobile cloud system, the demand of high computational system increases rapidly. Cloud computing gives the flexibility to users to use high computation system at nominal cost and scalability in dynamic and ...

An issue of finding parking space is a serious concern in some locations, especially shopping complexes, hospitals, buildings, malls and other premises requires large parking space for vehicles. The parking scenario becomes worst on special ...

The air pollution these days is a serious environmental concern and it is not just a mere fact but a harsh reality which is creating problems for the mankind such as some serious health issues. In some parts of the world the air quality index have ...

Recently, huge progress has been achieved in the field of single image super resolution which augments the resolution of images. The idea behind super resolution is to convert low-resolution images into high-resolution images. SRCNN (Single ...

Data mining in medicine has been used to predict unknown patterns in health data and to obtain diagnostic results. Healthcare industry generates large amounts of complex data about patients, diseases and treatments. Data mining in healthcare provides ...

Watermarking is one of the best way to authenticate the ownership or the source of data by embedding copyright information onto the image, audio or video. At the same time to maintain anonymity or source of data from unintended users its need to encrypt ...