Catastrophic forgetting is an unavoidable phenomenon that arises when a previously learned model undergoes further training on a target dataset. When an event occurs, there is a loss of knowledge from past training, w...
详细信息
Diabetic retinopathy (DR) is the typical diabetic eye issue and a main reason of blindness around the world. As per the International Diabetes Federation (IDF), the rates of diabetes would rise to 552 million by 2034....
详细信息
In the current digital era, safeguarding data security is essential. However, some companies still rely on outdated data security systems. This study aims to investigate the implementation of blockchain technology in ...
详细信息
Urban Green Space (UGS) plays a vital role in maintaining the balance of urban ecosystems. In Yogyakarta City, urban development and an increase in population accompanied by a decrease and insufficiency in the proport...
Urban Green Space (UGS) plays a vital role in maintaining the balance of urban ecosystems. In Yogyakarta City, urban development and an increase in population accompanied by a decrease and insufficiency in the proportion of UGS correlate with rising urban temperatures. Monitoring the availability of UGS can serve as a foundation for decision-making in managing the city’s UGS. With advancements in technology and computing in the field of computer Vision (CV), it’s possible to recognize UGS from the geometric patterns of satellite images. This study proposes a vegetation segmentation method using satellite images and a Deep Learning (DL) method with the U-Net architecture to estimate the availability of UGS. Evaluation results show that the image dataset without preprocessing with the Red Green Blue (RGB) color channel gives an average Intersection over Union (IoU) of 80.74%. These results are better than data that underwent grayscaling and contrast stretching preprocessing. Based on a case study conducted in three sub-districts in the Yogyakarta region, the constructed U-Net model gave an average IoU evaluation of 60.88%. These results demonstrate the model’s capability to provide a reference in calculating the UGS area at the sub-district level, which can then be utilized by the Yogyakarta City government to analyze the availability of UGS more efficiently. With this analysis, the government can make strategic decisions to manage UGS and create a sustainable urban environment.
As artificial intelligence (AI) technologies increasingly enter important sectors like healthcare, transportation, and finance, the development of effective governance frameworks is crucial for dealing with ethical, s...
详细信息
Artificial Intelligence (AI) pertains to the creation of computer systems that can execute tasks demanding human-like intelligence. As AI advances influence education, grasping the intricate impacts on academician bec...
详细信息
Deep learning-based hyperspectral image (HSI) compression has recently attracted great attention in remote sensing due to the growth of hyperspectral data archives. Most of the existing models achieve either spectral ...
详细信息
The work aims to develop a method for assessing the quality of publicly available data collections on the spread of the COVID-19 pandemic with daily infection statistics, recoveries and deaths. The World Health Organi...
详细信息
Nomophobia is derived from “no mobile phobia”;it is defined as the fear of being away from the possibility of communication by mobile phone. Since mobile phones are used actively in many fields, from communication t...
详细信息
Nomophobia is derived from “no mobile phobia”;it is defined as the fear of being away from the possibility of communication by mobile phone. Since mobile phones are used actively in many fields, from communication to social media, from the stock market to e-commerce, users can practically follow developments in their areas of interest with their mobile phones. This situation reveals the need for users to keep their phones with them all the time and can trigger the development of nomophobia feelings. This fear can become increasingly common among mobile phone users today and may require clinical interventions due to its consequences. Researchers state that the investigation of factors that cause nomophobia can inform subsequent interventions and guidance studies to overcome this fear. Various studies have been carried out to determine the causes of nomophobia. In these studies, the importance of individual psycho-social factors is revealed. However, it is emphasized that dimensions related to psycho-social factors need to be explored. One of them is the relationship of nomophobia with emotional intelligence, interpersonal problem-solving, perceived stress, and self-esteem. This study investigated the structural relationships between university students’ nomophobia and emotional intelligence, interpersonal problem-solving, perceived stress, and self-esteem. The research was carried out on 543 university students. Fifty-seven percent of the students participating in the study were female, and 43% were male. Path analysis was performed in the analysis of the data. The results of the research reveal that as the interpersonal problem-solving skills of university students improve, nomophobia decreases. Depending on the development of emotional intelligence, students’ interpersonal problem-solving skills increase. In addition, the development of emotional intelligence reduces the level of perceived stress. In line with the findings obtained from the research, various sugges
One of the cryptographic approaches is the Hill Cipher. A square key matrix must have an inverse modulo in the Hill Cipher algorithm. The unimodular matrix is one of the special matrices that has an inverse. In the en...
详细信息
暂无评论