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193 results for “Complex Systems”
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Research ArticleOpen accessIn the abstractEfficient Data Encryption for Securing HDFS Using DQN-Enhanced Deep Reinforcement Learning TechniquesShivani Awasthi, Narendra KohliIn the era of big data, ensuring the security of large-scale distributed storage systems like the Hadoop Distributed File System (HDFS) is critical. Traditional encryption methods often struggle to balance robust security with system performance, leading to vulnerabilities and inefficiencies. This study presents the design and implementation of an efficient data encryption algorithm for securing HDFS using Deep Q-Network (DQN) … …Journal of Computer Science, Vol. 21, Issue 4 · 4 Mar 2025 · 6,376 accessesView PDFCite
Research ArticleOpen accessIn the abstractUltrastructural Morphology of the Muscle System Organization in the Trematode Typhlocoelium cucumerinumIrina Yurievna Chidunchi, Ainagul Balgauovna Kaliyeva, Natalya Petrovna Korogod et al.Trematodes, also known as flatworms, are a diverse group of parasitic organisms that live in a variety of ecosystems, from freshwater to marine habitats. Their complex life cycle often involves intermediate and definitive hosts and multiple developmental stages. Trematodes have unique morphological features that allow them to adapt, move and parasitize within host tissues and organs. The parasitic lifestyle of … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 1 Jun 2024 · 5,112 accessesView PDFCite
Literature ReviewOpen accessIn the abstractTopological Approaches to Mechatronic Systems: A ReviewJean Bosco Samon, Damasse Harold TchouazongAn interest in the mechanical topology approach is to reduce the mass considerably in order to minimize the costs of manufacturing, transporting and purchasing products. The same interest can be found in mechatronic topological approaches where many disciplines should be fit together, facing therefore many and variant constraints. Distinguish topological approaches are found in the literature. Many are more specific … …Journal of Mechatronics and Robotics, Vol. 6, Issue 1 · 24 Jan 2022 · 6,707 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Knowledge Driven Multi-Scale Spatiotemporal Fusion Framework for Reliable Multi-Horizon Traffic Flow ForecastingDeepika M S, P. Deepa Shenoy, Venugopal K RAccurate traffic flow forecasting remains a core challenge in intelligent transportation systems. Urban traffic patterns are characterised by complex spatiotemporal dependencies and inherent uncertainties, which complicate traffic forecasting. This study proposes a Dynamic Knowledge-Driven Spatiotemporal Fusion (DKDMSF) architecture to extract features of Multi-Scale traffic dynamics across various temporal traffic horizons. DKDMSF integrates Dynamic Spatial Attention (DSA) and Adaptive Graph Learning … …Journal of Computer Science, Vol. 22, Issue 9 · 30 Sep 2026 · 413 accessesView PDFCite
Research ArticleOpen accessIn the abstractHindi Poetry Translation Using Neural Machine TranslationPragya Tewari, Anurag Singh BaghelNeural Machine Translation (NMT) has become an essential tool in Natural Language Processing (NLP), enabling the automatic translation of text across languages. However, translating poetry remains a relatively unexplored and complex task. Unlike general text, poetry carries multiple layers of meaning, emotion, rhythm, and cultural nuance, making it difficult to capture in another language through standard translation techniques. This study … …Journal of Computer Science, Vol. 22, Issue 1 · 16 Feb 2026 · 1,773 accessesView PDFCite
Review ArticleOpen accessIn the abstractModeling the Nile: A Comprehensive Water Budget and Flow Assessment with the River Basin Flow Model (RBFM)Youssef Ismail HafezThe Nile River basin, covering 2.9 million km³ across 11countries, is one of the world's most complex hydrological systems. With an annual historical discharge of 84 billion m³ at Aswan, Egypt, and rainfall of around 1,660 billion m³ per year over the Nile basin, effective management of this vital transboundary resource requires a deep understanding of its hydrology. This study … …American Journal of Environmental Sciences, Vol. 21, Issue 1 · 18 Jun 2025 · 8,740 accessesView PDFCite
Research ArticleOpen accessIn the abstractResearch on Deep Neural Network for Afaan-Oromo Language Text-to-Speech SynthesisDiriba Gichile Rundasa, Arulmurugan Ramu, Teshome Debushe Adugna et al.Text-to-speech synthesis is the automatic translation of unlimited natural language sentences from Text to spoken form that closely mimics the spoken form of the same Text by a native speaker of the language. The purpose of a Texttext-to-speech synthesizer is to generate comprehensible, natural signalling human voice from text transcriptions. Despite the wide range of potential applications for Text-to-speech systems, … …Journal of Computer Science, Vol. 21, Issue 5 · 14 Apr 2025 · 7,346 accessesView PDFCite