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Scatter search metaheuristic for homology based protein structure prediction. (c2015)
Published 2015“…Results obtained by our algorithm are compared with other homology modeling approaches as well as a pure ab-initio and a fragment based assembly approach. …”
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A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis
Published 2021“…It can be further scaled (for instance, in time) to clinical summary documentation. Publishers should avoid noise in the data by developing a way to trace the evolution of individual publications and unique authors.…”
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A fine-grained XML structural comparison approach
Published 2007“…Various algorithms for comparing hierarchically structured data, e.g., XML documents, have been proposed in the literature. …”
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Information Warfare
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Shuffled Linear Regression with Erroneous Observations
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A Micro-Economics Approach for Scheduling in CDMA Networks with End-to-End QoS Guarantees
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Growing hierarchical self-organizing map for filtering intrusion detection alarms
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Axes-Based Encryption Key
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A Blockchain Model for Secure Communications in Internet of Vehicles
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Efficient XML Structural Similarity Detection using Sub-tree Commonalities
Published 2007“…Various algorithms for comparing hierarchically structured data, e.g. …”
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54
Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS
Published 2018“…In the past decade, there has been an increasing need for semantic-aware data search and indexing in textual (structured and NoSQL) databases, as full-text search systems became available to non-experts where users have no knowledge about the data being searched and often formulate query keywords which are different from those used by the authors in indexing relevant documents, thus producing noisy and sometimes irrelevant results. …”
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A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks
Published 2025“…This review synthesizes evidence from more than 500 peer-reviewed studies published between 2020 and 2026, mapping DRL applications across distributed generation, transmission, distribution, energy storage systems, energy markets, local energy management, grid security, and data privacy. We present a structured taxonomy covering value-based, policy-based, actor-critic, model-based, and advanced multi-agent and multi-objective approaches, and link algorithms to tasks such as dispatch, microgrid coordination, real-time pricing, load balancing, and demand–response. …”
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Video features with impact on user quality of experience
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Test time minimization for system-on-chip with test bus assignment and sizin
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Automated systems for diagnosis of dysgraphia in children: a survey and novel framework
Published 2024“…This work discusses the data collection method, important handwriting features, and machine learning algorithms employed in the literature for the diagnosis of dysgraphia. …”
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