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Exploration of Muscle Fatigue Effects in Bioinspired Robot Learning from sEMG Signals
Published 2018-01-01Get full text
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Novel Approach to Handling Microfiber-Rich Dye Effluent for Sustainable Water Conservation
Published 2021-01-01“…The experimental outcomes were strongly supported by a regression representation at a macrolevel analysis and a scanning electron microscopy analysis at a microstructural level. …”
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Prediction of Photovoltaic Power by ANN Based on Various Environmental Factors in India
Published 2022-01-01Get full text
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A Review of CNN Applications in Smart Agriculture Using Multimodal Data
Published 2025-01-01Get full text
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Biogenic Synthesis of Silver Nanoparticles (AgNPs) Using Aqueous Leaf Extract of Buchanania lanzan Spreng and Evaluation of Their Antifungal Activity against Phytopathogenic Fungi
Published 2022-01-01“…The synthesized AgNPs were characterized using UV-visible spectroscopy, X-ray diffractometry (XRD), dynamic light scattering (DLS), transmission electron microscopy (TEM), and scanning electron microscopy (SEM). …”
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Reflections on the Impact of Extreme Weather on New Power Systems and Countermeasures
Published 2025-01-01“…Simultaneously, under the "carbon peak - carbon neutral" goal, the integration of fluctuating renewable energy including wind and solar energy, extensive use of power electronics and long-distance ultra-high-voltage transmission have reshaped traditional power grids. …”
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Advanced Control for Shipboard Cranes with Asymmetric Output Constraints
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Deep learning-enhanced defects detection for printed circuit boards
Published 2025-03-01“…Printed circuit boards (PCBs) are an important component of electronic devices. Therefore, ensuring the quality of such PCBs in the manufacturing process is crucial. …”
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Multiobjective Salp Swarm Algorithm Approach for Transmission Congestion Management
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Comparative Analysis of Vanilla CNN and Transfer Learning Models for Glaucoma Detection
Published 2024-01-01Get full text
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MEMS Acoustic Sensors: Charting the Path from Research to Real-World Applications
Published 2024-12-01“…Due to their advantages in miniaturization, low power consumption, high precision, high consistency, high repeatability, high reliability, and ease of integration, MEMS acoustic sensors are widely applied in many areas, such as consumer electronics, industrial perception, military equipment, and health monitoring. …”
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