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Research ArticleOpen accessIn the abstractA Hybrid Routing Approach Comparison with AODV Protocol Regarding Speed for Disaster Management in MANETAbdul Majid Soomro, Mohd Farhan Bin Fudzee, Muzamil Hussain, Hafiz Muhammad SaimThe Mobile Ad-hoc Network (MANET) is a wireless, systematic, autonomous network that can be used in various situations without the need for central control. A disaster is a sudden event that disrupts normal activities. MANET can play an important role in a disaster situation. Situations where normal communication is already interrupted. The MANET route discovery is one of the most … …Journal of Computer Science, Vol. 18, Issue 3 · 26 Mar 2022 · 6,413 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomatic Piano Sheet Music Transcription with Machine LearningFernandes Saputra, Un Greffin Namyu, Vincent et al.Automatic Music Transcription (AMT) is becoming more and more popular throughout the day, it has piqued the interest of many in addition to academic research. A successful AMT system would be able to bridge multiple ranges of interactions between people and music, including music education. The goal of this research is to transcribe an audio input to music notation. Research … …Journal of Computer Science, Vol. 17, Issue 3 · 4 Mar 2021 · 9,248 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Deep Learning Models for Multi-Step Prediction of Financial Time SeriesSaugat Aryal, Dheynoshan Nadarajah, Prabath Lakmal Rupasinghe et al.Financial time series prediction has been a key topic of interest among researchers considering the complexity of the domain and also due to its significant impact on a wide range of applications. In contrast to one-step ahead prediction, multi-step forecasting is more desirable in the industry but the task is more challenging. In recent days, advancement in deep learning has … …Journal of Computer Science, Vol. 16, Issue 10 · 27 Oct 2020 · 6,967 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrediction of Data Traffic in Telecom Networks based on Deep Neural NetworksQuang Hung Do, Thi Thanh Hang Doan, Thi Van Anh Nguyen et al.Accurate prediction of data traffic in telecom network is a challenging task for a better network management. It advances dynamic resource allocation and power management. This study employs deep neural networks including Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) techniques to one-hour-ahead forecast the volume of expected traffic and compares this approach to other methods including Adaptive Neuro-Fuzzy … …Journal of Computer Science, Vol. 16, Issue 9 · 30 Sep 2020 · 8,059 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Air Passenger Demand: A Comparison of LSTM and SARIMAQuang Hung Do, Shih-Kuei Lo, Jeng-Fung Chen et al.All airports need to have an accurate prediction of the number of passengers for their efficient management. An accurate prediction of the number of air passengers is crucial task since it provides information for planning decisions in the airport infrastructure to stabilize the service and maximize the profit. This study proposes a novel air passenger demand forecasting model based on … …Journal of Computer Science, Vol. 16, Issue 7 · 25 Jul 2020 · 8,555 accessesView PDFCite
EditorialOpen accessIn the abstractInternational Journal of Structural Glass and Advanced Materials Research: A New Open Platform for Materials ScienceChiara Bedon, Mario D’Aniello, Andreas Luible, Flavio StochinoEditorial The International Journal of Structural Glass and Advanced Materials Research (IJSGAMR) is a new peer-reviewed, open access journal, which covers all aspects of theoretical and practical research of materials science. The journal aims to promote international exchange of knowledge and broad discussion on advancements, outcomes and recent developments in materials research for engineering applications. In the last years, the … …International Journal of Structural Glass and Advanced Materials Research, Vol. 1, Issue 1 · 17 May 2017 · 13,690 accessesView PDFCite
Research ArticleOpen accessIn the abstractRandom Forest Based Feature Selection of Macroeconomic Variables for Stock Market PredictionIsaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam WeyoriA firm’s equity price on the stock-market is reported to be closely related to the Macroeconomic Variable (MVs) of the country in which the firm trades. For this reason, researchers, market traders, financial analysts and forecasters to examine the association between MVs and stock-price have carried out numerous studies, using time-series statistical analysis methods like Autoregressive Integrated Moving Average (ARIMA), … …American Journal of Applied Sciences, Vol. 16, Issue 7 · 31 Jul 2019 · 10,234 accessesView PDFCite
Research ArticleOpen accessIn the abstractCHRONIC NEONATAL DIAZOXIDE THERAPY IS NOT ASSOCIATED WITH ADVERSE EFFECTSMichele M. Cox, Christopher C. Wendler, Ildiko Erdelyi et al.Diazoxide is an ATP-sensitive potassium channel (KATP) agonist that has been shown to neuroprotective effects. These observations raise the possibility that diazoxide may have potential as a therapeutic agent for other applications. This study investigated (1) the long term effects of chronic neonatal administration of diazoxide and (2) the role of KATP on murin behavior and neurohistology. C57B/6J pups were … …OnLine Journal of Biological Sciences, Vol. 14, Issue 1 · 27 Jan 2014 · 7,447 accessesView PDFCite
Research ArticleOpen accessIn the abstractSilkworm Pupae Protect Against Alzheimer’s DiseaseJintanaporn Wattanathorn, Supaporn Muchimapura, Artit Boosel et al.Silkworm (Bombyx mori) pupae have long been used as food and medicine in Asian countries. It is reputed for the treatment of numerous neurological disorders related to oxidative stress including stroke. Therefore, we hypothesized that silkworm pupae could attenuate memory impairment and neurodegeneration in Alzheimer’s disease. In the present study, we determined the effect of silkworm pupae on the neurodegeneration … …American Journal of Agricultural and Biological Sciences, Vol. 7, Issue 3 · 16 Aug 2012 · 9,697 accessesView PDFCite
Research ArticleOpen accessIn the abstractMicrobial Translocation and B Cell Dysfunction in Human Immunodeficiency Virus DiseaseWei JiangThe gut mucosal barrier disrupted in HIV disease, resulting in increased systemic exposure to microbial products such as Lipo Polys Accharide (LPS). The association of enhanced microbial translocation and B cell dysfunction in HIV disease is not fully understood. High dose and short term exposure of microbial Toll-Like Receptor (TLR) agonists were used as vaccine adjuvants, however, low dose and … …American Journal of Immunology, Vol. 8, Issue 2 · 30 Jun 2012 · 7,409 accessesView PDFCite