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53 articles for “Hybrid Architecture”
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Research ArticleOpen accessPhrase in the titleA Hybrid Architecture Approach for Quantum AlgorithmsMohammad Reza Soltan Aghaei, Zuriati Ahmad Zukarnain, Ali Mamat, Hishamuddin ZainuddinProblem statement: In this study, a general plan of hybrid architecture for quantum algorithms is proposed. Approach: Analysis of the quantum algorithms shows that these algorithms were hybrid with two parts. First, the relationship of classical and quantum parts of the hybrid algorithms was extracted. Then a general plan of hybrid structure was designed. Results: This plan was illustrated the … …Journal of Computer Science, Vol. 5, Issue 10 · 31 Oct 2009 · 6,979 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleDesign of Pass Band Filter in Hybrid Architecture Planar/Non-Radiative Dielectric Waveguide Integration TechnologyGharssallah Ali, Harizi HanenProblem statement: The expansion of RF, microwave and millimeter devices has revolutionized today’s ommunication and sensor systems. Low-cost, high-performance and mass producible millimeter wave technologies are vital for commercial broadband systems. Challenging issues are commonly faced in the design of low-loss integrated circuits for example high-Q band pass filter, which the planar technique is fundamentally limited in performance. Approach: In … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 10 Aug 2012 · 7,092 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Scalable Hybrid CNN-LSTM and SDN Based Architecture for Real-Time DDoS Defence in IoT and Cloud NetworksSujit Sutradhar, Joy Lal Sarkar, Rajesh Kumar VermaDistributed Denial-of-Service (DDoS) is one of the most significant threats to the security of IoT, cloud, and Software-Defined Network (SDN) environments because it can aggravate network unavailability and disrupt the continuity of services. This study presents a hybrid CNN-LSTM-based DDoS detection and mitigation system for real-time DDoS detection in the context of heterogeneous network environments, which is integrated with SDN … …Journal of Computer Science, Vol. 22, Issue 10 · 19 Oct 2026 · 508 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleVolatility-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
Research ArticleOpen accessEvery word in the titleHybrid Framework 4.0 for Enterprise Architecture in the Context of Teleworkingkouassi Thomas, Brou Pacôme, Koffi Kanga et al.Context and justification: The outbreak of the COVID-19 pandemic has triggered a profound change in the business landscape, forcing companies around the world and their information systems to fundamentally rethink their operational models to adapt to an uncertain and complex environment. The digital transformation of businesses and the era of information technology and remote storage are having an impact on … …Journal of Computer Science, Vol. 20, Issue 12 · 4 Nov 2024 · 4,730 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleArchitecture of Low Power Energy Harvester Using Hybrid Input of Solar and Thermal for Laptop or Notebook: A ReviewHanani Mohamed Nadzirin, Jahariah Sampe, Muhammad Shabiul Islam, Noorfazila KamalThis paper aims to develop and design the architecture of Low Power Hybrid Energy Harvester (LPHEH) using the hybrid input of solar and thermal that can be harvested for self-powered laptop or notebook. This research will focus on the development of the high performance boost power converter to power up any laptop or notebook and design power management system of … …American Journal of Applied Sciences, Vol. 13, Issue 9 · 11 Sep 2016 · 7,636 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Novel Architecture of Maximum Power Point Tracking for Ultra-Low-Power Based Hybrid Energy Harvester in Ubiquitous Devices: A ReviewMichelle Lim Sern Mi, Sawal Hamid Muhammad Ali, Md Shabiul IslamThis research work presents a novel architecture of an Ultra-Low-Power (ULP) based Hybrid Energy Harvester (HEH) consisting of multiple input sources such as kinetic, thermal and solar energy, harvested from passive human power. Having multiple ambient sources mitigates limitations caused by single sources especially for bodily-worn applications; however, this results in impedance mismatch among the different integrated sources. To overcome … …American Journal of Applied Sciences, Vol. 10, Issue 10 · 6 Sep 2013 · 7,155 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImplementing a Hybrid VMD–BiTCN–BiGRU Architecture With Intelligent Optimization for Agricultural Commodity Price Prognostication in Gujarat MarketsJignesh Hirapara, Ratnesh Kumar Namdeo, Ankit Kumar Dubey et al.In the agricultural sector, the prices of pulses require adequate forecasting to plan farming activities, store and market, and guide policy-making. However, the pulse price series is highly volatile, seasonal, nonstationary, and nonlinear, and thus conventional linear time series models are not necessarily very effective. In the suggested framework, the raw price data series is decomposed using Variational Mode Decomposition … …Journal of Computer Science, Vol. 22, Issue 7 · 1 Aug 2026 · 1,021 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHybrid Deep Learning Models for Text Classification: Performance Evaluation of TriDistilBERT and BiGRU ArchitecturesAmira Samy TalaatText can be a valuable source of information, but its unstructured nature makes analysis challenging and time-consuming. Machine Learning (ML) algorithms can efficiently analyze and structure text, enabling organizations to automate processes and uncover insights that support better decision-making. This study focuses on applying ML to a classification problem using two datasets. Four deep learning models are introduced, combining Bi … …Journal of Computer Science, Vol. 21, Issue 9 · 10 Oct 2025 · 2,792 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Hybrid Method of Long Short-Term Memory and Auto-Encoder Architectures for Sarcasm DetectionMohammed M. AL-Ani, Nazlia Omar, Ahmed Adil NafeaSarcasm detection is considered one of the most challenging tasks in sentiment analysis and opinion mining applications in the social media. Sarcasm identification is therefore essential for a good public opinion decision. There are some studies on sarcasm detection that apply standard word2vec model and have shown great performance with word-level analysis. However, once a sequence of terms is being … …Journal of Computer Science, Vol. 17, Issue 11 · 1 Dec 2021 · 7,187 accessesView PDFCite