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Research ArticleOpen accessIn the abstractVolatility-Aware Hybrid Memory Architecture for Real-Time and Persistent Big Data SystemsMohammed Elhabib Maicha, Mohammed Redha BouzidiAs data volumes and real-time analytics demands grow, DRAM only memory systems struggle to scale cost-efficiently and sustainably. We present VA-HMA, a volatility-aware hybrid memory architecture that combines DRAM and Non-Volatile Memory (NVM) with a lightweight, machine-learned placement layer and endurance-aware fault tolerance. VA-HMA continuously monitors access patterns and applies a Random Forest–based predictor to guide batched page migrations and … …Journal of Computer Science, Vol. 22, Issue 6 · 27 Jun 2026 · 1,214 accessesView PDFCite
Review ArticleOpen accessIn the abstractBibliometric Analysis of Missing Value Imputation (MVI) Research Using Python and VOSviewer: Trends and Future DirectionsSamsul Arifin, Muhammad Faisal, Edwin Kristianto Sijabat et al.Incomplete data is a pervasive issue in data science, posing significant challenges for statistical analysis and machine learning applications. Missing Value Imputation (MVI) has thus emerged as a critical area of research aimed at mitigating data quality issues and improving decision-making accuracy. This study presents a comprehensive bibliometric analysis of MVI research using Scopus-indexed publications from 2000 to 2024. The … …Journal of Computer Science, Vol. 21, Issue 12 · 20 Jan 2026 · 1,961 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploratory Data Analysis of Applications of Encryption for Netflix by ML ModelsAnanth Maria Pushpa, Subramanian ShanmugamThis study examines the performance of various machine learning algorithms in analyzing Netflix's dataset, with a focus on encryption methods used for data protection. We evaluated several models including Ada BoostM1, IBk, Random Forest, and Decision Stump using multiple performance metrics. This work analysis revealed that the Ada BoostM1 model achieved the highest accuracy at 97.14%, outperforming other algorithms. It … …Journal of Computer Science, Vol. 21, Issue 9 · 24 Nov 2025 · 1,927 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
Research ArticleOpen accessIn the abstractAn Efficient Video Compression Framework using Deep Convolutional Neural Networks (DCNN)Kommerla Siva Kumar, P. Bindhu Madhavi, K. JanakiIn the current world, video streaming has grown in popularity and now accounts for a large percentage of internet traffic, making it challenging for service providers to broadcast videos at high rates while utilizing less storage space. To follow inefficient analytical coding design, previous video compression prototypes require non-learning-based designs. As a result, we propose a DCNN technique that integrates … …Journal of Computer Science, Vol. 18, Issue 7 · 13 Jul 2022 · 6,153 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnsemble Divide and Conquer Approach to Solve the Rating Scores’ Deviation in Recommendation SystemIsmail Ahmed Al-Qasem Al-Hadi, Nurfadhlina Mohd Sharef, Md Nasir Sulaiman, Norwati MustaphaThe rating matrix of a personalized recommendation system contains a high percentage of unknown rating scores which lowers the quality of the prediction. Besides, during data streaming into memory, some rating scores are misplaced from its appropriate cell in the rating matrix which also decrease the quality of the prediction. The singular value decomposition algorithm predicts the unknown rating scores … …Journal of Computer Science, Vol. 12, Issue 6 · 25 Jun 2016 · 7,701 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Evaluation of Handover in WiMax with TCP and UDP as Underlying ProtocolKaram Dhafer Mayoof, Rosilah Hassan, Amjed Sid Ahmed, Ahmed MarwanThe rejection of an ongoing connection/session is serious problem and it degrades the QoS and efficiency of the network rather than rejecting a request for new connection. The impact on performance of handovers is a serious problem in cellular systems that must be addressed. During handover there may be delay in packets and connections may drop. Real time applications i.e., … …Journal of Computer Science, Vol. 11, Issue 9 · 12 Dec 2015 · 7,244 accessesView PDFCite
Research ArticleOpen accessIn the abstractTHROUGHPUT AND BIT ERROR RATE ANALYSIS OF LUBY TRANSFORM CODES WITH LOW AND MEDIUM NODAL DEGREE DISTRIBUTIONSI. Joe Louis Paul, S. Radha, J. RajaThis study presents two degree distributions namely low and medium nodal degree distributions aiming to build a low overhead Luby Transform (LT) codes. The motivation is to design a fast encoder/decoder especially for real-time multimedia streaming and multicasting applications using LT codes. The key idea of this study is to restrict the average degree of the transmitted encoded symbols as … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 12 Aug 2014 · 6,614 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Explanatory Variables of Outward Foreign Direct Investment: Panel EvidenceNicholas Apergis, Dimitrios Asteriou, Kalliroi PapathomaAlong with the traditional macroeconomic determinants of FDI, additional explanatory variables, such as the exchange rates, should be encountered in undertaking physical investment decisions, as these variables affect several comparative costs and the cost of lending. The goal of this study is to examine for the first time panel data evidence of Greek outward FDI flows directed to 16 EU … …American Journal of Economics and Business Administration, Vol. 4, Issue 4 · 6 Jul 2013 · 7,069 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Optimistic Adaptive Modulation Technique for Future Wireless CommunicationKugalur Muthusamy Palaniswamy, Veerappa Gounder PalanisamyThe Future Wireless Communication requires 100 Mbits/s Data rate, streaming audio/video, asymmetric access/multiple access, Adaptive modulation and coding, dynamic packet arrangement, smart antenna adaptation andIPv6 facility to enhance error free communication. Various digital modulation techniques have been taken for simulation and bit error rate is calculated in both MC-CDMA System and OFDMA system. The continuous phase modulation techniques ensures large … …Journal of Computer Science, Vol. 9, Issue 4 · 13 May 2013 · 6,448 accessesView PDFCite