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Research ArticleOpen accessEvery word in the titleAbstractive Summarization of Long Educational Transcripts in the Era of GenAIDeepa Fernandes, Rupali Sunil WaghThe surge in online video data presents the imperative requirement of summarizing it for information compression, efficient understanding, and to support decision-making. Recent research studies have predominantly utilized structured input data for summarization. This paper explores the current state-of-the-art models in summarizing unstructured, conversational, and long transcript data. We further apply a transfer learning approach using a fine-tuned BART model, … …Journal of Computer Science, Vol. 22, Issue 8 · 7 Sep 2026 · 403 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnhancing Dam Safety and Management: Long Short-Term Memory Based Predictive Models for Accurate Alert ForecastingNisha C. M, N. ThangarasuDam management and early alert systems are critical for effective water resource management. Accurate prediction of dam alert signals facilitates proactive decision-making, thereby aiding in the effective management and reduction of potential risks linked to dam operations. Within this research, Long Short-Term Memory (LSTM) networks are utilized to forecast dam alert signals issued from the dam by leveraging daily parameters, … …Journal of Computer Science, Vol. 22, Issue 1 · 6 Feb 2026 · 1,626 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMultimodal Face Expression Recognition Using Parametric Exponential Linear Unit-Long Short-Term MemoryKampa Ratna Babu, Akula Suneetha, Kampa Kanthi KumarMultimodal facial expression recognition combines information from multiple modalities of audio and video to achieve the required accuracy and robustness. By integrating different data sources, multimodal systems capture different aspects of human expression. However, accurately recognizing facial expressions across audio and video modalities causes challenges due to variations in expression representation. In this research, Parametric Exponential Linear Unit-Long Short-Term Memory … …Journal of Computer Science, Vol. 20, Issue 10 · 17 Aug 2024 · 4,612 accessesView PDFCite
Case ReportOpen accessEvery word in the titleAcyclovir May Be Used to Treat Certain Long COVID Patients Regardless of Herpesvirus Reactivation: Case ReportDenise Stewart, Martin Oswald SavageFundamental causes of long COVID or Post-Acute Sequelae of COVID-19 (PASC) are still under investigation while it remains a significant burden to millions of patients worldwide even after a relatively mild acute Coronavirus Disease 2019 (COVID-19) episode. Treatment and management programs are yet to be developed. The foremost hypotheses for underlying PASC pathophysiology include: The persistence of the virus in … …American Journal of Infectious Diseases, Vol. 20, Issue 1 · 12 Mar 2024 · 25,572 accessesView PDFCite
Case ReportOpen accessEvery word in the titleLong COVID-19 Symptoms Remedied by Anti-Viral Treatment in Neurosurgical PatientsRobert Michael BeattyThe pandemic of COVID-19 is the largest in this century. Aside from the acute infection, some of the patients have been challenged with a complication that is known as long COVID-19. The symptoms of long COVID-19 are extensive and diverse. Long COVID-19 continues to plague many patients post-COVID-19 infection. No universal treatment has been found. This study presents four patients … …American Journal of Infectious Diseases, Vol. 19, Issue 3 · 19 Aug 2023 · 18,607 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Hybrid Model of Bidirectional Long-Short Term Memory and CNN for Multivariate Time Series Classification of Remote Sensing DataSawsan Morkos GharghoryClassification of multivariate time series has got massive attention in the last decade. The traditional modeling classifiers are complicated patterns and are incompetent to capture the dependencies of multivariate time series data. To include both of the effective features and the embedded relationships in the multivariate time series, a new hybrid model which incorporates both Convolutional Neural Network (CNN) and … …Journal of Computer Science, Vol. 17, Issue 9 · 29 Sep 2021 · 6,686 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePredicting Support and Resistance Indicators for Stock Market with Fibonacci Sequence in Long Short-Term MemoryThambusamy Velmurugan, Thiruvalluvan IndhumathyPredictive data analytics is a branch of data analytics where models are designed that effectively interpret; anticipate outcomes by analyzing present data to make predictions about future. One of the major attributes for prediction is time and there have been a considerable number of time series analytical models that are used for forecasting. Long Short-Term Memory (LSTM) is a deep … …Journal of Computer Science, Vol. 16, Issue 10 · 28 Oct 2020 · 7,316 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIdentification of Long Non-coding RNAs Expressed During Early AdipogenesisRongkun Shen, Rachel A. Soeder, Henry D. Ophardt et al.Long non-coding RNAs (lncRNAs) are transcripts with a length of more than 200 nucleotides that lack protein-coding capacity. LncRNAs play important roles in the regulation of genes during many biological processes, development and disease progression, such as obesity. Obesity is an increasing health concern around the world. Although multiple studies linking lncRNAs and fully differentiated adipocytes have been published, the … …OnLine Journal of Biological Sciences, Vol. 19, Issue 4 · 30 Nov 2019 · 7,823 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleWeather Forecasting Using Merged Long Short-Term Memory Model (LSTM) and Autoregressive Integrated Moving Average (ARIMA) ModelAfan Galih Salman, Yaya Heryadi, Edi Abdurahman, Wayan SupartaWeather forecasting is an interesting research problem in flight navigation area. One of the important weather data in aviation is visibility. Visibility is an important factor in all phases of flight, especially when the aircraft is maneuvering on or close to the ground, i.e., during taxi-out, take-off and initial climb, approach and landing and taxi-in. The aim of these study … …Journal of Computer Science, Vol. 14, Issue 7 · 28 Jun 2018 · 11,422 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePopulation and Behavior Surveys of Long-Tailed Macaque (Macaca fascicularis) in the Old Town, Lopburi ProvinceDuangjai Boonkusol, Pornchai Sanyathitiseree, Suporn Thongyuan, Nantana JangsuwanLong-tailed macaque (Macaca fascicularis) in the old town, Lopburi province rapid increase in their number as well nuisance activities. Strategies and management plans of Lopburi province, Thailand need to be developed and enacted in order to remedy some of the problems occurring in human-macaque interface zones. Therefore, this study aimed to investigate the macaque number and behavior, a survey on … …OnLine Journal of Biological Sciences, Vol. 18, Issue 2 · 8 May 2018 · 8,956 accessesView PDFCite