Research ArticleOpen accessIn the abstractHybrid Deep Learning Model for Evaluating Subjective Answers Based on Semantic Textual SimilaritySiddhesh Kudtarkar, Kavita ShirsatSubjective answer evaluation requires accurately identifying semantic similarities between student and reference responses. This study introduces a Hybrid Deep Learning Model (HDLM) that integrates CNN, GRU, and LSTM architectures to assess Semantic Textual Similarity (STS) more effectively. The HDLM employs two parallel branches-CNN-GRU and CNN-LSTM to capture both local syntactic features and long-range contextual dependencies, followed by Manhattan distance for … …Journal of Computer Science, Vol. 22, Issue 4 · 7 Apr 2026 · 1,690 accessesView PDFCite
Research ArticleOpen accessIn the abstractLeveraging Computational Models to Analyze the Impact of Co-Branding on Brand Equity and Consumer Loyalty Across GenerationsYana Erlyana, Lim Jing YiThis study examines the effect of co-branding on brand equity and consumer loyalty in the Indonesian cosmetics sector, specifically analyzing the partnership between Mizzu, a cosmetics brand, and Khong Guan, a food brand, on the dimensions of brand experience sensory, emotional, behavioral, and intellectual and its subsequent implications for brand equity components, such as brand awareness, perceived quality, and brand … …Journal of Computer Science, Vol. 21, Issue 7 · 11 Jul 2025 · 3,999 accessesView PDFCite
Research ArticleOpen accessIn the abstractClimate Projections of Future Extreme Events in MalaysiaA.H. Syafrina, M.D. Zalina, A. NorzaidaIn Malaysia, extreme rainfall events are often linked to a number of environmental disasters such as landslides, monsoonal and flash floods. In response to the negative impacts of such disaster, studies assessing the changes and projections of extreme rainfall are vital in order to gather climate change information for better management of hydrological processes. This study investigates the changes and … …American Journal of Applied Sciences, Vol. 14, Issue 3 · 21 Mar 2017 · 8,253 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,755 accessesView PDFCite
Research ArticleOpen accessIn the abstractSemi Active Tuned Mass Dampers of Buildings: A Simple Control OptionDemetris Demetriou, Nikolaos Nikitas, Konstantinos Daniel TsavdaridisThe present study investigates the effectiveness of a Proportional-Integral-Derivative (PID) controlled Variable Damping Semi-Active Tuned Mass Damper (VD-STMD) on reducing the vibration response of an earthquake excited multi-storey structure. The effectiveness of the controlled system is evaluated by comparing the structure’s overall dynamic behavior against that of an equivalent similar structure equipped with a conventional optimally designed passive Tuned Mass … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 30 Oct 2015 · 9,652 accessesView PDFCite
Research ArticleOpen accessIn the abstractCLASSIFICATION OF DIGITAL IMAGES USING FUSION ELEVATED ORDER CLASSIFIER IN WAVELET NEURAL NETWORKR. Arulmurugan, P. SengottuvelanThe revival of wavelet neural networks obtained an extensive use in digital image processing. The shape representation, classification and detection play a very important role in the image analysis. Boosted Greedy Sparse Linear Discriminate Analysis (BGSLDA) trains the cascade level of detection in an efficient manner. With the application of reweighting concept and deployment of class-reparability criterion, lesser search was … …Journal of Computer Science, Vol. 10, Issue 9 · 23 Jun 2014 · 6,790 accessesView PDFCite
Research ArticleOpen accessIn the abstractWireless Sensor Networks Fault Identification Using Data AssociationT. Abirami Kongu, P. Thangaraj, P. Priakanth KonguProblem statement: Wireless Sensor Networks (WSN) are formed by thousands of lightweight nodes equipped with transducers for capturing information. The captured data are transmitted using multi hop routes to a base station, also called a sink. They can be extensively deployed during emergency response, medical monitoring and missiion critical applications requiring extensive data capture from sensors.Wireless sensor network applications include … …Journal of Computer Science, Vol. 8, Issue 9 · 11 Aug 2012 · 6,942 accessesView PDFCite
Research ArticleOpen accessIn the abstractInfluence of Process Parameters on Electrical Discharge Machined Job Surface IntegrityA.K.M. Asif Iqbal, Ahsan Ali KhanProblem statement: Electrical Discharge Machining (EDM) is the most widely used non conventional machining process for removing material from workpiece by means of a series of repeated electric discharges. Electrical Discharge milling (ED-milling) is an emerging technology where a cylindrical tool electrode follows a programmed path in order to obtain the desired shape of a part. During machining of metals … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 2 · 30 Jun 2010 · 8,584 accessesView PDFCite
Research ArticleOpen accessIn the abstractProviding Reliability in Replicated Middleware ApplicationsR. Saravanan, N. RamarajProblem statement: Data inconsistency is raised in actively replicated environment due to non-determinism in the applications that defeats the purpose of replication as a fault-tolerance strategy. Approach: We proposed an efficient framework RTC which ensured determinism among the replicas in fault tolerance middleware applications. This method exploits the technique of statically analyzing the application source code of client and identifies … …Journal of Computer Science, Vol. 5, Issue 1 · 31 Jan 2009 · 8,696 accessesView PDFCite