Outlier detection is a widely used technique for identifying anomalous or exceptional events across various contexts. It has proven to be valuable in applications like fault detection, fraud detection, and real-time monitoring systems. Detecting …
verfasst von:
Arefeh Mazarei, Ricardo Sousa, João Mendes-Moreira, Slavo Molchanov, Hugo Miguel Ferreira
Patient–ventilator asynchrony (PVA) refers to instances where a mechanical ventilator’s cycles are desynchronised from the patient’s breathing efforts, and may result in patient discomfort and potential ineffective ventilation. Typically, they are …
verfasst von:
Chenyang Wang, Ling Luo, Uwe Aickelin, David J. Berlowitz, Mark E. Howard
Egypt’s agricultural sector plays a critical role in the country’s economy, with wheat cultivation being vital for ensuring food security. However, the challenges faced by wheat farming in Egypt, such as climate change, water scarcity, and pest …
verfasst von:
Amal Mahmoud, Ammar Mohammed, M. M. abdel wahab, A. A. Khalil
Detecting possible habitable planets outside of our solar system has been a growing field of study. Among several other topics, this field aims to classify stars using the transit method, i.e., using their light intensity measured over time to …
Clustering of source code is a technique that can help improve feedback in automated program assessment. Grouping code submissions that contain similar mistakes can, for instance, facilitate the identification of students’ difficulties to provide …
verfasst von:
José Carlos Paiva, José Paulo Leal, Álvaro Figueira
Inaccurate emotional reactions from robots have been a problem for authors in previous years. Since technology has advanced, robots like service robots can communicate with people of many other languages. The traditional Speech Emotion Recognition …
In recent years, there has been a growing interest in establishing bridges between statistics and neural networks. This article focuses on the adaptation of the widely used lasso algorithm within the context of neural networks. To accomplish this …
verfasst von:
Ernesto Curbelo, David Delgado-Gómez, Danae Carreras
Protein is considered the important macronutrient for most of the biochemical activities of all living organisms. Many healthcare applications involve protein to protein interactions (PPIs) to predict diseases, DNA characters, and more. PPI …
verfasst von:
Prasanalakshmi Balaji, K. Srinivasan, R. Mahaveerakannan, Sudhanshu Maurya, T. Rajesh Kumar
Sign language recognition (SLR) is an emerging technology that shows potential in facilitating communication between the deaf and the hearing people. The sign language system employs a recognition module to generate glosses from videos of sign …
With the exponential rise in the development, deployment and use of Internet applications in recent years, communication paradigms are continuously flooded with unmatched dimensions of real-time video traffic which amounted to 65.93% of the total …
An online segmented thickness prediction algorithm for steel strips based on machine learning is proposed to address issues of strong coupling and low accuracy in existing mathematical thickness models. Firstly, the rolling data are divided into …
The sentence ordering task aims to organize complex, unordered sentences into readable text. This improves accuracy, validity, and reliability in various natural language processing domains, including automatic text generation, text summarization …
Assessing the impact of authors in scientific research is crucial for evaluating scholarly contributions. Various parameters exist in the literature to quantify researchers’ productivity, such as publication count, citation count, and the h index.
In the development of the social-economics of countries, time series is a data type stored commonly nowadays. For these data, forecasting has always received the attention of statisticians and managers because it brings to great advantages.
Light pollution is a problem that impacts many elements of human life and the environment, including astronomical observations. The authors of this work offer a unique method for detecting anomalies in night sky brightness data recorded using a …
verfasst von:
Lala Septem Riza, Zulfikar Ali Yunara Putra, Muhammad Iqbal Zain, Fajar Zuliansyah Trihutama, Judhistira Aria Utama, Khyrina Airin Fariza Abu Samah, Dhani Herdiwijaya, Rinto Anugraha NQZ, Emanuel Sungging Mumpuni, Rhorom Priyatikanto
The aim of this study is to enhance the extraction of informative features from complex data through the application of topological data analysis (TDA) using novel topological overlapping measures. Topological data analysis has emerged as a …
People’s lives are always threatened by various diseases. The role of health and medical services, in particular medicine, is undeniable in protecting their lives. Timely preparation and providing medicine for patients is vital since medicine …
verfasst von:
Amir Hossein Nabizadeh, Mohammad Mehdi Ghaemi, Daniel Goncalves
A challenge faced while monitoring the COVID-19 pandemic in Brazil is the identification of patterns of incidence and mortality, which can help prioritize interventions to avoid excessive disease transmission and associated deaths. This study …
verfasst von:
Jonatas Silva do Espirito Santo, Jackson Santos da Conceição, Lilia Carolina Carneiro da Costa, Rosemeire Leovigildo Fiaccone, Marcos Ennes Barreto, Maria Yury Ichihara, Anderson Ara
Knowledge graph-based visual question answering aims to utilize the information in the knowledge graph to assist in answering complex questions that are difficult to answer based on image features alone. However, using knowledge graphs increases …