Echocardiography is a widely used, affordable, and high-throughput test to evaluate heart conditions. There are two cardiac phases known as end-systolic (ES) and end-diastolic (ED), which are observed by cardiologists and technicians during .
Total Citations 0Traditional electroencephalography (EEG) based brain computer interface (BCI) systems for performing three-dimensional (3-D) movement control used motor imagery paradigm, where the participants had to be trained to imagine certain combinations of .
Total Citations 0Hospitals and health services are complicated places that generate large quantities of data focusing on individual patient care. That care is the product of multiple interactions between patients and the many differently staffs within a hospital .
Total Citations 0The presence of a large number of genes in the gene expression profiles imposes a computational challenge for cancer classification. To deal with the high-dimensional feature space, in this paper, we present a 3-step feature selection framework, .
Total Citations 0Bone age is an indicator of skeletal maturity and is widely used by doctors to diagnose patients with growth disorders. Bone age estimation is predominantly determined by a human rater comparing an X-ray image with a set of standards plates (GP) .
Total Citations 0Length of stay (LOS) and risk of readmission of patients are critical indicators of the quality and operation efficiency of hospitals. Various machine learning (ML) approaches have been applied to predict a patient’s hospital LOS and risk of .
Total Citations 0Cardiac arrhythmia, one of the primary causes of death, can be diagnosed using the electrocardiogram (ECG), a visual representation of heart activity. Existing methods can annotate ECG signals and achieve satisfactory results. However, they .
Total Citations 1Personalized question recommendation for students is an important research topic in the field of smart education. Current studies depend on collaborative filtering based, cognitive diagnosis based, or cognitive diagnosis based on collaborative .
Total Citations 0Online exams are the most preferred mode of exams in online learning environment. This mode of exam has been even more prevalent and a necessity in the event of a forced closure of face-to-face teaching such as the recent Covid-19 pandemic. .
Total Citations 0In order to activate classroom atmosphere, enhance interaction between teachers and students, and to facilitate teachers to answer questions raised by students in a timely manner, a new real-time barrage class system was designed. To complete .
Total Citations 0Over the years, there have been created new applications recurring to automatic discovery of information in educational data. The recommendation of undergraduate programs to high school students is one of these applications with little researching .
Total Citations 0Various virtual personal assistant (VPA) services have become popular, due to the convenient interaction manner of voice user interface (VUI) they offer. Centered around them, an ecosystem involving service providers, third-party developers and .
Total Citations 4Rumors are increasingly becoming a critical issue on the Web threatening democracy, economics, and society on a global scale. With the advance of social media networks, people are sharing content in an unprecedented scale. This makes social .
Total Citations 0In the changing social and economic environment, organisations are keen to act promptly and appropriately to changes. Sentiment analysis can be applied to social media data to capture timely information of new events and the corresponding public .
Total Citations 0Research shows that recent information spreading on social media is dubious and untrue, intended to mislead audiences. In the last few years, the fake news spreading community has emerged on a large scale, which intentionally promotes incorrect .
Total Citations 0The entire world is confronting the challenge of fake news disseminated online, as its consequences could be exceptionally catastrophic. In this paper, we have proposed a hybrid model that integrates the opinion evolution process with the .
Total Citations 0Network traffic analysis, with the objective of identifying and preempting malicious campaigns, is an active area of research. An effective model that predicts future malicious network events based on observed malicious event sequences can aid .
Total Citations 0Due to the advancement of wireless internet and location-enabled mobile devices, Location Based Services (LBS) have become very popular. The primary goal of such services is based on the searched keywords, it can recommend hotels, restaurants, .
Total Citations 0With the massive deployment of mobile devices, crowdsourcing has become a new service paradigm in which a task requester can proactively recruit a batch of participants with a mobile IoT device from our system for quick and accurate results. In a .
Total Citations 0New vehicle designs need to be tested in representative driving scenarios to evaluate their durability. Because these tests are costly, only a limited number of them can be performed. These have traditionally been selected using rules of thumb, .
Total Citations 0In recent scientific work, a classification-based approach to the machinery prognostics problem has been elaborated as an alternative to the Remaining Useful Life approaches. The classification-based approaches rely on a prediction horizon .
Total Citations 0Location-based Service (LBS) has attracted growing attention in the field of Internet of Vehicles (IoV), and a route planning scheme is a research hotspot. Research shows that one serious problem in the field of intelligent transportation is the .
Total Citations 0Wireless signal-based device-free human behavior sensing is an innovative method for accurate sensing and understanding human behaviors, which is the core technology to enable high level human computer interaction via off-the-shelf IoT devices. .
