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Sentiment analysis of tweets employing convolutional neural network optimized by enhanced gorilla troops optimization algorithm.
Sci Rep
January 2025
University of Ghana, P.O. Box 134, Legon-Accra, Ghana.
Sentiment analysis has become a difficult and important task in the current world. Because of several features of data, including abbreviations, length of tweet, and spelling error, there should be some other non-conventional methods to achieve the accurate results and overcome the current issue. In other words, because of those issues, conventional approaches cannot perform well and accomplish results with high efficiency.
View Article and Find Full Text PDFDevelopment of lateral flow immunochromatographic assay with Anti-Pythium insidiosum antibodies for point-of-care testing of vascular pythiosis.
Sci Rep
January 2025
Center of Excellence for Antimicrobial Resistance and Stewardship, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.
The pathogenic oomycete Pythium insidiosum causes a fatal infectious illness known as pythiosis, impacting humans and certain animals in numerous countries in the tropics and subtropics. Delayed diagnosis is a primary factor contributing to the heightened morbidity and mortality associated with the disease. Several new serodiagnostic methods have been developed to improve the identification of pythiosis.
View Article and Find Full Text PDFMachine learning techniques for non-destructive estimation of plum fruit weight.
Sci Rep
January 2025
Crop and Horticultural Science Research Department, Mazandaran Agricultural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Tajrish, Iran.
Plum fruit fresh weight (FW) estimation is crucial for various agricultural practices, including yield prediction, quality control, and market pricing. Traditional methods for estimating fruit weight are often destructive, time-consuming, and labor-intensive. In this study, we addressed the problem of predicting plum FW using artificial intelligence (AI) methods based on fruit dimensions.
View Article and Find Full Text PDFShifting trends in outpatient hand trauma care: a 16-year analysis at a major center in northern Germany.
Arch Orthop Trauma Surg
January 2025
Hannover Medical School, Hanover, Germany.
Background: Hand injuries are a leading cause of emergency department visits. Recent trends in hand trauma management reflect a shift toward outpatient care, driven by factors such as a shortage of skilled personnel or increasing cost pressures. This study analyzed these trends to propose updated management strategies for hand injuries.
View Article and Find Full Text PDFEnhancing security and efficiency in Mobile Ad Hoc Networks using a hybrid deep learning model for flooding attack detection.
Sci Rep
January 2025
North Carolina School of Science and Mathematics, Durham, NC, 27705, USA.
Mobile Ad Hoc Networks (MANETs) are increasingly replacing conventional communication systems due to their decentralized and dynamic nature. However, their wireless architecture makes them highly vulnerable to flooding attacks, which can disrupt communication, deplete energy resources, and degrade network performance. This study presents a novel hybrid deep learning approach integrating Convolutional Neural Networks (CNN) with Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) architectures to effectively detect and mitigate flooding attacks in MANETs.
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