The fast development of the Internet Things (IoT) technology in recent years has supported connections numerous smart things along with sensors and established seamless data exchange between them, so it leads to a stringy requirement for analysis storage platform such as cloud computing fog computing. Healthcare is one application domains IoT that draws enormous interest from industry, research community, public sector. improving patient safety, staff satisfaction, operational efficiency...

As a key technology of intelligent transportation system, the vehicle is carrier comprehensive integration many technologies. Although vision-based autonomous driving has shown excellent prospects, there still problem how to analyze complicated traffic situation by collected data. Recently, been formulated as tasks separately using different models, such object detection task and intention recognition task. In this study, system was developed detect identity various objects predict...

In order to detect fire automatically, a forest image recognition method based on convolutional neural networks is proposed in this paper. There are two main types of algorithms. One traditional processing technology and the other network technology. The former easy lead false detection because blindness randomness stage feature selection, while for latter unprocessed applied directly, so that characteristics learned by not accurate enough, rate may be affected. view these problems,...

District heating (DH) networks are a key component of low-carbon urban in the future, as greenhouse gas emissions and sustainability concerns drive sector to transform itself. DH is not new technology, but it has been constantly evolving. The latest generation facilitates distribution low-temperature renewable heat sources. In recent years, most studies have focused on managing peak demand, improving technologies, load prediction. However, there risk misinterpretation, generations DH, which...

Land-area classification (LAC) research offers a promising avenue to address the intricacies of urban planning, agricultural zoning, and environmental monitoring, with specific focus on areas their complex land usage patterns. The potential LAC is significantly propelled by advancements in high-resolution satellite imagery machine learning strategies, particularly use convolutional neural networks (CNNs). Accurate paramount for informed development effective management. Traditional...

In recent times, Internet of Medical Things (IoMT) gained much attention in medical services and healthcare management domain. Since sector generates massive volumes data like personal details, historical data, hospitalization records, discharging IoMT devices too evolved with potentials to handle such high quantities data. Privacy security the gathered by gadgets, are major issues while transmitting or saving it cloud. The advancements made Artificial Intelligence (AI) encryption techniques...

Sewerage systems play a vital role in building modern cities, providing appropriate ways to release liquid wastes. Due the rapid expansion of deterioration sewage pipes are increasing. Hence, systematic maintenance methods require overcome this problem. In most cases, sewer inspection is done by human inspectors, which error-prone, time-consuming, costly, and lacking survey evaluations. paper, we introduce new automated framework for detecting pipe defects based on attention mechanism,...

Abstract Sanitary sewer systems are major infrastructures in every modern city, which essential protecting water pollution and preventing urban waterlogging. Since the conditions of continuously deteriorate over time due to various defects extrinsic factors, early intervention is necessary prolong service life pipelines. However, prior works for defect inspection limited by accuracy, efficiency, economic cost. In addition, current loss functions object detection approaches unable handle...

Traditional phenotyping relies on experts visually examining plants for physical traits like size, color, or disease presence. Measurements are taken manually using rulers, scales, color charts, with all data recorded by hand. This labor-intensive and time-consuming process poses a significant obstacle to the efficient breeding of new cultivars. Recent innovations in computer vision machine learning offer potential solutions accelerating development robust highly effective plant phenotyping....

Bioinformatics and genomics are driving a healthcare revolution, particularly in the domain of drug discovery for anticancer peptides (ACPs). The integration artificial intelligence (AI) has transformed healthcare, enabling personalized immersive patient care experiences. These advanced technologies, coupled with power bioinformatics genomic data, facilitate groundbreaking developments. precise prediction ACPs from complex biological sequences remains an ongoing challenge area. Currently,...

Generative adversarial networks (GANs) describe an emerging generative model which has made impressive progress in the last few years generating photorealistic facial images. As result, it become more and difficult to differentiate between computer-generated real face images, even with human’s eyes. If generated images are used intent mislead deceive readers, would probably cause severe ethical, moral, legal issues. Moreover, is challenging collect a dataset for identification that large...