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782 results for “objective study”
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Research ArticleOpen accessIn the abstractBacteriological Assessment of Rainbow Trout (Oncorhynchus mykiss) Subjected to Low-Temperature StorageRomán Alejandro Téllez-Cortez, Ángel Ruyan García-Hurtado, Mayra Diaz-Ramírez et al.Fish is a food with high nutritional value and an essential part of the human diet. However, this food is highly perishable and poses a health risk when contaminated along the food chain, requiring preservation processes at low temperatures. Trout (Oncorhynchus mykiss) is one of the most widely produced and marketed fish species for human consumption worldwide, through products such … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 31 Jul 2026 · 1,008 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhanced Lifetime Maximization Using Metaheuristics-Based Unequal Clustering With Routing Protocol on Wireless Sensor NetworksN. E. Kanaghadhara, R. SubanThe Wireless Sensor Network (WSN) consists of spatially distributed autonomous sensors that monitor environmental or physical factors such as sound, pressure, or temperature, and pass the information directly through the network to a sink or central location. Clustering and routing are essential in WSNs to optimize their longevity, scalability, and efficiency. Clustering includes grouping Sensor Nodes (SN) into clusters, each … …Journal of Computer Science, Vol. 22, Issue 7 · 21 Jul 2026 · 682 accessesView PDFCite
Research ArticleOpen accessIn the abstractLess Biased Approach for Sandstone Pore SegmentationDaffa Abiyyu Murtadha Kurnia, Iman Herwidiana KartowisastroReservoir characterization is a fundamental process in estimating reserves within petroleum and hydrogeological systems, where the precise determination of pore space dictates the validity of fluid flow models. Although X-Ray Computerized Tomography (XRCT) has become the standard non-destructive evaluation method for visualizing the internal structure of rocks, the data interpretation process still faces challenges during the image segmentation stage. Conventional … …Journal of Computer Science, Vol. 22, Issue 6 · 15 Jun 2026 · 1,191 accessesView PDFCite
Review ArticleOpen accessIn the abstractImproving Classification and Clustering Accuracy of Palembang Duku Fruit Quality via CNN-K-Means IntegrationHenny Hartono, Francka Sakti Lee, Herlina Herlina et al.Duku Palembang (Lansium domesticum Corr.) is a leading commodity from South Sumatra with high economic value. The quality assessment process for duku has traditionally relied on manual visual inspection, which is subjective, time-consuming, and inconsistent, especially at large production scales. This study proposes an integrative framework combining Convolutional Neural Network (CNN) and K-Means Clustering to improve the accuracy of classification … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 8 May 2026 · 1,475 accessesView PDFCite
Research ArticleOpen accessIn the abstractReal MDS Codes for Error Correction: Construction and an Application on Federated Learning Pre Aggregation ValidationRavi Varma B., N. Suresh Babu, Santhosh Kumar K. P., Shailesh SivanReal number codes play a crucial role in correcting errors within communication systems that involve the transmission of analog signals or continuous data. Among these codes, Maximum Distance Separable (MDS) codes stand out as highly efficient for error correction. The present research paper is on the construction of a class of real number MDS codes for any desired dimension. The … …Journal of Computer Science, Vol. 21, Issue 12 · 27 Feb 2026 · 1,347 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing 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 accessIn the abstractThe Multiple Tuned Mass Damper for Passive Control of Structures by Cuckoo AlgorithmHamid Jafari Nia, Amir Hossein Heidari, Hamid Reza Babaali, Kaveh Ostad-Ali-AskariAdjustable mass dampers are recently used to reduce seismic vibrations of engineering structures. Function of these types of systems requires a suitable setting of their parameters. In this study, a practical method to design Multiple Tuned Mass Dampers (MTMD) has been proposed to minimize the maximum displacement of roof, acceleration of roof and TMDs displacement to reduce the seismic response … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 3 · 16 Jul 2020 · 7,392 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of Knowledge, Attitude and Practices of Onchocerciasis Prevention and Control in Becho Woreda, Illu Ababora, Oromia Regional State, South West EthiopiaMasresha Leta Serbesa, Maleda Tefera, W/Michael Moroda BurayuOnchocerciasis is a filarial disease caused by onchocerca volvulus and transmitted by a black fly. Onchocerciasis is a killer of livestock and wild animals so Onchocerciasis prevention and control is helpful for health planners and health educators providing basic information to focus on its prevention and control. The objective of this study was to assess the knowledge, attitude and practice … …American Journal of Infectious Diseases, Vol. 15, Issue 2 · 4 May 2019 · 7,527 accessesView PDFCite
Research ArticleOpen accessIn the abstractProcess Approach-Based Simulation Project Life Cycle: PAB-SPLCKhadija Ouazzani-Touhami, Kawtar Tikito, Nissrine SouissiSimulation is one of the most effective decision support tools available to designers and managers of complex systems. In particular, discrete-event simulation is widely used in a wide variety of fields, such as industry and production, finance and economics, or even health and services. In addition, the conduct of a simulation project is of extreme importance, in order to carry … …Journal of Computer Science, Vol. 19, Issue 8 · 15 Jul 2023 · 5,398 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Study on Emotion Analysis and Music Recommendation Using Transfer LearningKrishna Kumar Singh, Payal DemblaAs more and more people access and consume music through streaming platforms and digital services, music recommendation has grown in importance within the music industry. Given the abundance of music at our disposal, music recommendation algorithms are essential for guiding users toward new music and for creating individualized listening experiences. People frequently seek out music that fits their current emotional … …Journal of Computer Science, Vol. 19, Issue 6 · 16 May 2023 · 7,109 accessesView PDFCite