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Automatic cutting and suturing control system based on improved FP16 visual recognition algorithm
Published 2025-07-01Get full text
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Adaptive-robust control for frequency and voltage stability in multi-terminal DC wind energy systems
Published 2025-09-01Get full text
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An outline of compilation and processing of metadata in agricultural database management system WebAgris
Published 2008-10-01Get full text
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Battery Energy Storage Systems in Microgrids: A Review of SoC Balancing and Perspectives
Published 2024-01-01Get full text
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A Retrospective Analysis of Jordan’s National COVID-19 Call Center: Operations, Effectiveness, and Lessons Learned
Published 2024-11-01“…Box 3030, Irbid, 22110, Jordan, Email kkheiral@gmail.comIntroduction: Contact tracing has been a cornerstone of non-pharmaceutical interventions to control the COVID-19 epidemic, with highly mixed effectiveness internationally. …”
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A Power Decoupling Control Strategy for Multi-Port Bidirectional Grid-Connected IPT Systems
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An adaptive voltage reference based multi-objective line flow control methods for MMC-MTDC system
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Fixed-Time Sliding-Mode Fault-Tolerant Control of Waste Heat Power Generator Systems
Published 2018-01-01Get full text
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Active and Reactive Power Multi-Objective Control of Multi-Microgrid in On- and Off-Grid Modes
Published 2025-01-01Get full text
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Robust Higher-Order Nonsingular Terminal Sliding Mode Control of Unknown Nonlinear Dynamic Systems
Published 2025-05-01“…In contrast to the majority of model-based terminal sliding mode control (TSMC) approaches that rely on the plant physical model and/or data-driven adaptive pointwise model, this study treats the unknown dynamic plant as a total uncertainty in a black box with enabled control inputs and attainable outputs (either measured or estimated), which accordingly proposes a model-free (MF) nonsingular terminal sliding mode control (MFTSMC) for higher-order dynamic systems to reduce the tedious modelling work and the design complexity associated with the model-based control approaches. …”
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Real-Time Typical Urodynamic Signal Recognition System Using Deep Learning
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