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36 articles for “GRU”
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Research ArticleOpen accessIn the author namesA Static Analysis of Android Source Code for Lifecycle Development Usage PatternsNoura Hoshieah, Samer Zein, Norsaremah Salleh, John GrundyBuilding robust Android apps is a non-trivial task that requires skilled developers to understand various Android platform peculiarities. However, among the Android developers community, a large fractions are considered to be novice and inexperienced developers. One of the main peculiarities in the Android app development is the activity lifecycle model. A developer needs to have deep understanding of the different … …Journal of Computer Science, Vol. 15, Issue 1 · 10 Jan 2019 · 8,661 accessesView PDFCite
Research ArticleOpen accessIn the author namesCivil Society and Private LawLudmila J. GrudtsinaIn the present article puts forward and discusses the concept of the civil society existence and development in the modern world reality. Author discusses that modern civil society is unthinkable without a complex system of social relations and without state participation (direct or indirect) which can take form of (but not limited to) making and enforcing laws. Such laws may … …American Journal of Applied Sciences, Vol. 11, Issue 11 · 7 Jan 2015 · 6,498 accessesView PDFCite
Research ArticleOpen accessIn the author namesInfluenza Surveillance in Russia Based on Epidemiological and Laboratory Data for the Period from 2005 to 2012Sominina Anna, Elena Burtseva, Mikhail Eropkin et al.Exchange of information on and sharing of influenza viruses through the GISRS network has great significance for understanding influenza virus evolution, recognition of a new pandemic virus emergence and for preparing annual WHO recommendations on influenza vaccine strain composition. Influenza surveillance in Russia is based on collaboration of two NICs with 59 Regional Bases. Most epidemiological and laboratory data are … …American Journal of Infectious Diseases, Vol. 9, Issue 3 · 14 Oct 2013 · 8,759 accessesView PDFCite
Research ArticleOpen accessIn the author namesA Wireless Sensor Node Supporting Various Powers Supply and Communication MethodsStefan Gruber, Hannes Reinisch, Hartwig Unterassinger et al.Problem statement: This study presents a wireless sensor node dedicated for in-tire pressure and temperature monitoring. Additional features set it apart from the many different systems available on the highly competitive market. State-of-the-art implementations are mounted on the rim of a tire. Here the sensor node will be mounted on the inner liner of the tire. By moving the sensor … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 4 · 12 Jan 2012 · 8,032 accessesView PDFCite
Research ArticleOpen accessIn the author namesMetabolic Abnormalities Associated with the Use of Protease Inhibitors and Non-nucleoside Reverse Transcriptase InhibitorsMadhu N. Rao, Grace A. Lee, Carl GrunfeldThe use of protease inhibitors and non-nucleoside reverse transcriptase inhibitors for the treatment of HIV infection and AIDS has been associated with multiple abnormalities in glucose and lipid metabolism. Specifically, these abnormalities include insulin resistance, increased triglycerides and increased LDL cholesterol levels. The metabolic disturbances are due to a combination of factors, including the direct effect of medications, restoration to … …American Journal of Infectious Diseases, Vol. 2, Issue 3 · 30 Sep 2006 · 6,936 accessesView PDFCite
Research ArticleOpen accessIn the abstractBrain Tumor Segmentation and Classification Using HardNet Transformer With Gated Recurrent Unit ModelSaida D, Srinivas Adepu, Thade Lakshmi Devi et al.The uncontrolled growth of brain tumor cells presents a severe health risk, making early diagnosis and accurate classification essential for improving treatment outcomes. However, the existing approaches used for segmentation fail to delineate the tumor regions accurately due to a lack of global contextual information of brain tumors, resulting in poor classification performance. To overcome this limitation, this research proposes … …Journal of Computer Science, Vol. 22, Issue 9 · 26 Sep 2026 · 630 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Cross-Validation Under Concept Drift for Time Series ForecastingKunjira Kingphai, Prapakorn Kanjina, Kamol Sanittham, Wacharong WongsanurakTime-series forecasting often involves non-stationary data, making i.i.d. validation unreliable and fixed-window protocols vulnerable to leakage and biased error estimates. We propose Adaptive Time-Series Cross-Validation (ATSCV), a drift-aware evaluation framework that uses statistical change-point detection to partition each series into contiguous, approximately stationary regimes, followed by forward-chaining folds that respect those boundaries. By aligning train–validation splits with distributional changes (with … …Journal of Computer Science, Vol. 22, Issue 7 · 7 Jul 2026 · 1,488 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid BiGRU-BiLSTM Model for Real-Time ECG Arrhythmia Detection Using Wearable SensorsPrem Narayan Singh, Rajendra Prasad MahapatraAccurate and real-time detection of cardiac arrhythmias is essential for timely medical intervention. Advances in wearable devices and deep learning have made it feasible to continuously monitor electrocardiogram (ECG) signals, facilitating early identification of abnormal heart rhythms. For arrhythmia detection, this study presents a hybrid deep learning architecture combining Bidirectional Gated Recurrent Units (Bi-GRU) and Bidirectional Long Short-Term Memory (Bi-LSTM). … …Journal of Computer Science, Vol. 22, Issue 5 · 5 Jun 2026 · 1,331 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Models for Predicting Stock Closing Prices in the Saudi Stock MarketAreej Alhumaidi, Hoda A. AbdelhafezFinancial time series data are inherently volatile and nonlinear, presenting considerable challenges in accurately forecasting stock market trends. This study aims to predict the closing prices of companies listed on the Saudi stock market by analyzing historical data spanning from 2013 to 2023. To this end, four deep learning models were employed-Long Short-Term Memory (LSTM), Bidirectional LSTM (Bi-LSTM), Gated Recurrent … …Journal of Computer Science, Vol. 22, Issue 4 · 22 Apr 2026 · 1,355 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Grey Wolf Optimizer and Deep Transfer Learning-Based Intrusion Detection System for IoTKapil Shrivastava, Manish Tiwari, Prasun ChakrabartiThe rapid proliferation of Internet of Things (IoT) devices has driven significant advancements in connectivity and automation, but it has also introduced substantial cybersecurity risks, including intrusions and cyberattacks. To address these challenges, this study proposes a hybrid intrusion detection framework that combines advanced optimization techniques with ensemble deep learning to enhance detection accuracy and computational efficiency. The proposed framework … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 1,506 accessesView PDFCite