The configuration of Artificial Neural Networks (ANNs) in the context of predictive modelling can provide considerable difficulty owing to the complex nature of their arrangements and the need for meticulous hyperpara...
详细信息
Human Pose Estimation is a computer vision technique utilized in various fields such as healthcare, security, and sports to detect the pose of single or multi-person utilizing various machine learning and deep learnin...
详细信息
This study investigates the reduction of execution divergence on graphics processing units (GPUs) through modification of input data arrangement. Execution divergence, which occurs when threads within a GPU warp take ...
详细信息
A key feature of cloud computing is elasticity, which enables resources to be allocated and de-allocated according to dynamic application demands. The evolution of Industrial Control Systems (ICS) is moving towards a ...
详细信息
Together, the Internet of Things (IoT) and cognitive computing have revolutionized the agricultural industry by enabling the implementation of intelligent husbandry systems. Investigating the creation and use of an In...
详细信息
Together, the Internet of Things (IoT) and cognitive computing have revolutionized the agricultural industry by enabling the implementation of intelligent husbandry systems. Investigating the creation and use of an Internet of Things-enabled smart husbandry system that leverages cognitive computing techniques is the aim of this study. The system includes detectors to gather data on environmental factors like crop health, soil temperature, and humidity in real-time. After that, a centralized platform receives these data. This data is processed by algorithms used in cognitive computing to give growers useful insights like optimal irrigation timing and early detection of crop issues. The application of this method raises agricultural operations' productivity and enhances decision-making processes' effectiveness. This study covers the following topics: the system's armature;the choice and incorporation of Internet of Things bias;the use of cognitive computing models;and the assessment of system performance in actual agricultural scripts. The results show how cognitive computing and the Internet of Things (IoT) may revolutionize traditional husbandry methods into data-driven, intelligent husbandry systems.
The advent of advanced educational technologies, and immersive learning utilizing virtual reality (VR), augmented reality (AR), and mixed reality (MR) have emerged as a powerful tool to enhance learning experiences. H...
详细信息
With the rapid development of social economy, science and technology, e-commerce and network, computer extends more and more content, in the era of big data, cloud computing has become an emerging field, multi-tenant,...
详细信息
Non-functional requirements (NFRs) are often poorly documented and inadequately integrated into the software development process resulting in discrepancies between expected and actual system quality. This gap leads to...
详细信息
The main contribution of this article is to design a human resource management system for small and medium-sized enterprises, which introduces salary design and performance evaluation to accurately evaluate the employ...
详细信息
Intelligent business operation systems are undergoing a revolution as a result of cognitive computing, which is boosting their capacity to analyze large amounts of data and produce well-informed conclusions in real-ti...
详细信息
Intelligent business operation systems are undergoing a revolution as a result of cognitive computing, which is boosting their capacity to analyze large amounts of data and produce well-informed conclusions in real-time. The purpose of this investigation is to investigate the possibility of incorporating cognitive computing technologies, such as machine literacy, natural language processing, and big data analytics, into business operation systems to address the issue of civic traffic, improve the flow of business, and enhance safety. The development of adaptive business control mechanisms that can respond robustly to changing business situations is made possible by cognitive computing. This is accomplished through the use of sophisticated algorithms and predictive analytics. The purpose of this article is to investigate case studies and real-world implementations, to highlight the major improvements in company efficiency and decrease in travel times that may be realized using cognitive computing. The findings provide evidence that cognitive computing has the potential to transform conventional business operation systems into intelligent, responsive networks that are capable of tone-optimization. This would result in the creation of civic environments that are more intelligent and more environmentally sustainable.
暂无评论