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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 titleFew-shot Fine-tuning of BERT Multilingual for Hindi Word Sense DisambiguationShailendra Kumar Patel, Rakesh Kumar, Anuj Kumar SirohiWord Sense Disambiguation (WSD) is a fundamental task in Natural Language Processing (NLP), addressing the challenge of identifying correct word meanings in context. This task is particularly complex for morphologically rich and resource-limited languages like Hindi, which exhibit significant lexical ambiguity compounded by limited availability of annotated corpora. To address these challenges, we propose a supervised approach combining the multilingual … …Journal of Computer Science, Vol. 21, Issue 11 · 26 Dec 2025 · 2,250 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMicro-Retargeted Advertising and Online Shoppers' Motivation in NigeriaJoseph Wilson, Yusuf Mu'azu, Fredrick WilsonOnline shopping is increasingly gaining popularity worldwide, as the experience is perceived not only to replicate but sometimes exceed that of traditional retail. The rapid transformation of the e-commerce sector compels online stores to adopt innovative strategies to attract and retain customers, enhance service delivery, increase product visibility, and remain competitive. The integration of big data and artificial intelligence has … …Journal of Social Sciences, Vol. 21, Issue 1 · 15 Aug 2025 · 5,437 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleThe Effect of Main Heat Shock Proteins on AtherosclerosisAnastasia Vladimirovna Poznyak, Alexey V. Churov et al.Atherosclerosis is a multifaceted disease characterized by complex pathogenesis involving diverse mechanisms. In recent years, the autoimmune nature of atherosclerosis has gained significant attention, emphasizing the indispensable role of the immune system in its initiation and progression. Heat Shock Proteins (HSPs) are vital for cellular functionality, facilitating cellular adaptation to environmental changes and survival under adverse conditions. Notably, various HSP … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 3 Oct 2024 · 4,354 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
Research ArticleOpen accessEvery word in the titleMeasuring Refugee’s and Host Community Vulnerability to Idiosyncratic and Covariate Causes of Poverty Shocks in UgandaJulius OkelloThe analysis reveals diverse patterns of change in poverty levels and inequality dynamics within different settlements. This study specifically provides insights into the impact of idiosyncratic and covariate poverty shocks on poverty and inequality across various refugee and host community settlements in Uganda. The data shows that in Bidi Bidi Settlement, poverty decreased by 1.7 units while inequality increased by … …American Journal of Economics and Business Administration, Vol. 16, Issue 1 · 16 Aug 2024 · 8,186 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIdentification of the Presence of the "Swollen Shoot" Disease in Endemic Areas in Côte d'Ivoire Via Convolutional Neural NetworksCoulibaly Mamadou, Silue Kolo, Konan Hyacinthe Kouassi et al.The detection of Swollen Shoot disease and its control is one of the major objectives of research related to sustainable cocoa farming in Côte d'Ivoire. To contain the epidemic, the Cocoa Coffee Council (CCC) in collaboration with the National Agency for Support to Rural Development (ANADER) is responsible for prospecting and delimiting the infected areas as well as for uprooting … …American Journal of Engineering and Applied Sciences, Vol. 16, Issue 3 · 1 Oct 2023 · 6,064 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleLignin Content, Ligninase Enzyme Activity and in vitro Digestability of Sugarcane Shoots using Pleurotus ostreatus and Aspergillus oryzae at Different Fermentation TimesRoni Pazla, Novirman Jamarun, Lili Warly et al.This study aims to obtain the best lignin content, ligninase enzyme activity and in vitro digestibility value of fermented sugarcane shoots using Pleurotus ostreatus and Aspergillus oryzae at different fermentation times. The research process is divided into 2 stages. Stage 1 treatment samples include A1B1 = Sugarcane shoots fermented with Pleurotus ostreatus for 14 days; A1B2 = Sugarcane shoots fermented … …American Journal of Animal and Veterinary Sciences, Vol. 16, Issue 3 · 30 Sep 2021 · 7,298 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