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Discrete-Time Systems
After reading this chapter, the reader is expected to
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Generation of Continuous-Time Signals
After completing this chapter, the reader should be able to
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Adaptive Signal Processing
After reading this chapter, the reader is expected to
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Collaborative Incentive Mechanism for Mobile Crowdsensing
In this chapter, we propose PTASIM, an incentive mechanism that explores cooperation with POI-tagging App for Mobile Edge Crowdsensing (MEC). PTASIM...
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Deep Learning Based K-Line Chart Recognition for Financial Quantitative Investment Analysis
In financial quantitative investment analysis field, most of existing artificial intelligence analysis methods are based on sequential data, and very...
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Beyond Universal Transformer: Block Reusing with Adaptor in Transformer for Automatic Speech Recognition
Recently, Transformer-based models have excelled in end-to-end (E2E) automatic speech recognition (ASR), enabling deployment on smart devices....
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Boundary Stabilization of Complex Coupled Hyperbolic Stochastic Systems
This study considers the boundary stabilization for complex coupled hyperbolic stochastic systems under the framework of Lyapunov stability. A...
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Boosting Personalized Musculoskeletal Modeling with Deep Transfer Learning: A Case Study
In recent years, musculoskeletal models have demonstrated significant potential in human-machine interfaces (HMI). However, their computational...
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Distributed Optimal Consensus Control for Heterogeneous Multi-agent System with Disturbance
This paper develops a distributed control protocol for the distributed optimal consensus problem of multi-agent systems. The dynamics of multi-agent...
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Doubly Accelerated Proximal Gradient for Nonnegative Tensor Decomposition
The accelerated proximal gradient (APG) is a classical algorithm for nonnegative tensor decomposition. The APG employs variable extrapolation to...
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Co-YOLOv7: An Efficient Oil Spill Identification Network Based on SAR Images
Oil spills cause significant damage to marine ecosystems, resulting in substantial ecological and economic losses. Synthetic aperture radar (SAR) is...
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An Improved YOLOv8 Target Detection Algorithm and Its Application in Tennis Ball Picking Robot
The design and development of a tennis ball pickup robot can greatly improve the efficiency of ball pickup work on tennis courts. Based on this,...
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Transfer Learning-Based Deep Learning Model for Corn Leaf Disease Classification
Corn, also recognized as maize, is one of the most popular food grains in the world, accounting for 80% of the total volume of global trade of feed...
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Enhancing Fruit and Vegetable Image Classification with Attention Mechanisms in Convolutional Neural Networks
Classifying fruits and vegetables is a challenging task for traditional machine learning models, particularly convolutional neural networks (CNNs),...
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New Results on Input-to-State Stability of Memristor-Based Inertial Neural Networks
The main focus of this study is the analysis of input-to-state stability problem for inertial neural networks with delays utilizing memristors. By...
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Mean Square Exponential Stability of Neutral Stochastic Delay Neural Networks
This paper investigates the mean square exponential stability of neutral stochastic delay neural networks through the utilization of a novel...
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Improved Memristive Binarized Neural Networks Using Transformer_DCBNN Architecture with CBAM Attention Mechanism
At present network compression and hardware deployment have become a hot research topic. For network compression, binary neural networks (BNNs) use...
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DiffMoCa: Diffusion Model Based Multi-modality Cut and Paste
The Multi-mOdality Cut and pAste (MoCa) method cuts data from other frames and pastes it onto the current training data frame to increase the number...
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A Robust Visual SLAM System in Dynamic Environment
Simultaneous Localization and Map** (SLAM) is vital for the navigation of autonomous robots in unknown environments. Current SLAM systems have made...
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A Learning-Powered Model Predictive Control for Hybrid Electric Vehicles with Real-World Driving Data
In this paper, the energy management strategy for hybrid electric vehicle by using large-scale historical traffic data to improve the energy...