This research presents a systematic approach to monitoring student engagement, retention, and cognitive load within higher education by integrating Business Intelligence (BI) tools with cognitive load analysis. The pr...
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As one of the more advanced algorithms, the gating convolutional neural network (Gated Convolutional Neural Network, GCNN), has the advantages of parallelized computing, sparsity, multi-layer feature extraction, gatin...
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Dance movement accuracy prediction is a critical component of modern dance training, yet traditional methods often lack objectivity due to the subjective nature of evaluations and the complexity of human movement. To ...
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This paper proposes a tri-wideband reflective linear-to-circular polarization metasurface. The top layer is composed of bi-directional arrow patches containing gaps of unequal lengths and widths of unequal lines symme...
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Mobile edge computing (MEC) promises to be a useful technology to enable applications in a smart city. However, the task offloading becomes challenging as the MEC infrastructure has limited resources. To solve the cha...
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Traditional decision support systems (DSS) show obvious limitations in dealing with increasingly complex and dynamic decision-making scenarios. By integrating graph neural networks (GNNs) and expert systems (ESs), thi...
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Federated learning is an emerging distributed machine learning technology that allows participants to jointly train machine learning models locally without the need for large-scale data transmission and sharing, there...
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The development of effective drug therapies is a complex and multifaceted problem involving various biological, chemical, and computational challenges. Traditional drug development methods are often time-consuming and...
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The proceedings contain 16 papers. The special focus in this conference is on Bio-inspired information and Communication Technologies. The topics include: Optimizing Drug Delivery Strategies by Pathway Analysis f...
ISBN:
(纸本)9783031815980
The proceedings contain 16 papers. The special focus in this conference is on Bio-inspired information and Communication Technologies. The topics include: Optimizing Drug Delivery Strategies by Pathway Analysis for Waveform Modulation-Based Molecular Communication;Enhancing DNA-Based IoBNT Throughput and Reducing Congestion with Yin-Yang coding;a Molecular Communication Model Driven by Magnetic Field Force;CDM Based on Izhikevich Neuron Model;multi-user Diffusive Molecular Communication Systems with A Passive Relay Node: Receiver Design and Performance Analysis;machine Learning-Based Detection Time Estimation for Molecular Communication;taming Signal-Dependent Counting Noise with Machine Learning for Molecular Communication;energy-Efficient Transmitter Creation in Molecular Communication;a Method for Determining Relay Node Location in Molecular Communication;glycemic Oscillation Decomposition-Based Personalized Blood Glucose Prediction with Continuous Glucose Monitoring;A Compact Bio-inspired Microstrip Antenna (Bi-MPA) for Medical Microwave Imaging Applications;Image Encryption and Decryption Algorithm Based on DNA Sequence: Performance Analysis of Channel Fusion Processing;Optimizing the Classification of SSVEP Signals in Brain-Computer Interfaces: A Novel Sliding Window Data Segmentation Method Based on Weighted Voting Mechanism;spontaneous Motion of Nanorobots Inspired Computational technology for Tumor Boundary Exploration.
Existing MOOC review sentiment classification methods do not fully utilize the local context information associated with aspect, and they ignore the connection between local and global contexts, while resulting in mod...
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