Results 1 to 10 of about 1,670,871 (318)
Research on Adaptive Control of Air-Borne Bolting Rigs Based on Genetic Algorithm Optimization
Machines, 2021 Rotation speed and propulsive force are the two critical parameters in the work of the air-borne bolting rig. To address the problem that unreasonable rotation speed and propulsive force will induce the breakage of the drill pipe and the inability of the
Qingyun Liu, Yiwen Zha, Tao Liu, Chao Lu
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Coal and Rock Hardness Identification Based on EEMD and Multi-Scale Permutation Entropy
Entropy, 2021 This study offers an efficient hardness identification approach to address the problem of poor real-time performance and accuracy in coal and rock hardness detection.
Tao Liu, Chao Lu, Qingyun Liu, Yiwen Zha
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Loads and loads and loads: the influence of prospective load, retrospective load, and ongoing task load in prospective memory [PDF]
Frontiers in Human Neuroscience, 2015 In prospective memory tasks different kinds of load can occur. Adding a prospective memory task can impose a load on ongoing task performance. Adding ongoing task load (OTL) can affect prospective memory performance. The existence of multiple target events increases prospective load (PL) and adding complexity to the to-be-remembered action increases ...
Meier, Beat, Zimmermann, Thomas D.
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Mechanical Structural Design and Actuation Technologies of Powered Knee Exoskeletons: A Review
Applied Sciences, 2023 Robot knee exoskeletons can not only help the rehabilitation training function of the elderly and disabled patients, but also enhance the performance of healthy people in normal walking and weigh-bearing walking by providing sufficient torques. In recent
Zongpeng Wu +3 more
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IEEE Access, 2022 Dimensionality reduction and the automatic learning of key features from electroencephalographic (EEG) signals have always been challenging tasks. Variational autoencoders (VAEs) have been used for EEG data generation and augmentation, denoising, and ...
Taufique Ahmed, Luca Longo
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Multi‐attribute quantitative bearing fault diagnosis based on convolutional neural network
Cognitive Computation and Systems, 2021 Existing bearing fault diagnosis methods have some disadvantages, one being that most methods cannot completely consider all specific fault attributes.
Shixin Zhang +3 more
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Cough Recognition Based on Mel-Spectrogram and Convolutional Neural Network
Frontiers in Robotics and AI, 2021 In daily life, there are a variety of complex sound sources. It is important to effectively detect certain sounds in some situations. With the outbreak of COVID-19, it is necessary to distinguish the sound of coughing, to estimate suspected patients in ...
Quan Zhou +7 more
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Shock and Vibration, 2021 An isogeometric analysis (IGA) method is proposed for investigating the active shape and vibration control of functionally graded plates (FGPs) with surface-bonded piezoelectric materials in a thermal environment.
Tao Liu +4 more
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Explaining Deep Q-Learning Experience Replay with SHapley Additive exPlanations
Machine Learning and Knowledge Extraction, 2023 Reinforcement Learning (RL) has shown promise in optimizing complex control and decision-making processes but Deep Reinforcement Learning (DRL) lacks interpretability, limiting its adoption in regulated sectors like manufacturing, finance, and healthcare.
Robert S. Sullivan, Luca Longo
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Study on the Influence of Plane Coil Geometric Parameters on Initial Launch Velocity
IEEE Access, 2019 Active electromagnetic armor, as a kind of electromagnetic launch, is a future-oriented high-tech weaponry. The geometric parameters of the coil are the key elements affecting the interception performance.
Enling Tang +3 more
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