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Article
Design of a bi-level PSO based modular neural network for multi-step time series prediction
Derived from an effective strategy - direct and multiple-input multiple-output strategy, a modular neural network based on a bi-level particle swarm optimization algorithm (BLPSO-MNN) is proposed in the presen...
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Article
An adaptive evolutionary modular neural network with intermodule connections
To approach the brain-like neural network and further improve the performance of the modular neural network (MNN), an adaptive evolutionary modular neural network with intermodule connections (EA-ICMNN) is pro...
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Article
A WSFA-based adaptive feature extraction method for multivariate time series prediction
In recent years, artificial neural networks (ANNs) have been successfully and widely used in multivariate time series prediction, but the accuracy of the prediction is significantly affected by the ANNs’ input...
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Article
DCNet: exploring fine-grained vision classification for 3D point clouds
Fine-grained 3D point cloud classification is vital for shape analysis and understanding. However, due to the subtle inter-class differences and the significant intra-class variations, applying the existing po...
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Chapter and Conference Paper
Regularized DNN Based Adaptive Compensation Algorithm for Gateway Power Meter in Ultra-High Voltage Substations
The development of the power Internet of Things (IoT) has made the data of ultra-high voltage substation metering critical information sources for supporting power energy scheduling and market transactions. Ho...
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Chapter and Conference Paper
Estimating the Impacts of Seasonal Variations of Streetscape on Dockless Bike Sharing Trip with Street View Images and Computer Vision
A significant portion of the cycling experience is influenced by the streetscape, and this impact varies throughout the year. The temporal dynamic of streetscape has been neglected in most previous studies, in...
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Chapter and Conference Paper
The Use of Normative Energy Calculation for Natural Ventilation Performance-Driven Urban Block Morphology Generation
Exploring the three-state coupling relationship between “urban block morphology, carbon emissions, and human comfort” is necessary when making preliminary design decisions. Currently, morphology generative des...
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Article
V \(^2\) MLP: an accurate and simple multi-view MLP network for fine-grained 3D shape recognition
Fine-grained 3D shape recognition (FGSR) is crucial for real-world applications. Existing methods face challenges in achieving high accuracy for FGSR due to high similarity within sub-categories and low dissim...
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Article
Multitask Learning with Multiscale Residual Attention for Brain Tumor Segmentation and Classification
Automatic segmentation and classification of brain tumors are of great importance to clinical treatment. However, they are challenging due to the varied and small morphology of the tumors. In this paper, we pr...
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Article
Open AccessThe evaluation of urban spatial quality and utility trade-offs for Post-COVID working preferences: a case study of Hong Kong
The formation of urban districts and the appeal of densely populated areas reflect a spatial equilibrium in which workers migrate to locations with greater urban vitality but diminished environmental qualities...
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Chapter and Conference Paper
Research on the Design of Serious Games for the Elderly Cognitive Training Based on Augmented Reality
In recent years, the aging of the world's population has been increasing year by year. As people age, the human brain is prone to aging and damage, and basic abilities such as thinking, language, and execution...
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Article
An online adjusting RBF neural network for nonlinear system modeling
Aiming to improve the prediction accuracy and to obtain a compact structure, an online adjusting radial basis function neural network (OA-RBFNN) is proposed in this paper. The proposed OA-RBFNN realizes online...
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Chapter and Conference Paper
The Coherence and Divergence Between the Objective and Subjective Measurement of Street Perceptions for Shanghai
Recent development in Street View Imagery (SVI), Computer Vision (CV) and Machine Learning (ML) has allowed scholars to quantitatively measure human perceived street characteristics and perceptions at an unpre...
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Chapter and Conference Paper
Fluorescence Microscopy Images Segmentation Based on Prototypical Networks with a Few Annotations
The objects in fluorescence microscopy images (FMIs) are rather densely populated, and often have complex structures as well as large color variations. These issues result in time-consuming manual annotations ...
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Chapter and Conference Paper
Application of Carbon Composites in Unmanned Aerial Vehicles: A Review
The lightweight demand of unmanned aerial vehicles (UAVs) has promoted the continuous upgrading of its body materials. After light metal materials such as aluminum alloy and titanium alloy, carbon fiber compos...
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Chapter and Conference Paper
Federated Learning Meets Edge Computing: A Hierarchical Aggregation Mechanism for Mobile Devices
Federated learning (FL) has been proposed and applied in edge computing scenarios. However, the complex edge environment of wireless networks, such as limited device computing resources and unstable signals, l...
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Chapter and Conference Paper
Quantifying Association Between Street-Level Urban Features and Crime Distribution Around Manhattan Subway Entrances
The Manhattan subway system serves 39% of its commuters as an essential public transit option; however, its annual ridership dropped by 3.48% from 2015 to 2018. This study hypothesizes that ground-level urban-...
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Article
Physics informed neural network for parameter identification and boundary force estimation of compliant and biomechanical systems
This paper presents the framework of a physics-informed neural network (PINN) with a boundary condition-embedded approximation function (BCAF) for solving common problems encountered in flexible mechatronics a...
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Article
A self-organizing recurrent fuzzy neural network based on multivariate time series analysis
Fuzzy neural networks (FNNs) have attracted considerable interest for modeling nonlinear dynamic systems in recent years. However, the recurrent design and the self-organizing design of FNNs generally lack ada...
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Chapter and Conference Paper
Design of Elderly Care Service in Rural Community with Mutual Assistance Mode—A Case Study of B Rural Community in A Town, Beijing
Guided by the concept of mutual assistance mode, this paper designs a systematic service design scheme to resolve practical elderly care problems in rural communities, such as the sense of loneliness, low self...