Advances in Knowledge Discovery and Data Mining
25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part I
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101 Result(s)
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Article
Long-short interest network with graph-based method for sequential recommendation
In recommender systems, sequence information is crucial. Sequence data contains user preferences and reflects the evolution of user interests over time. Therefore, how to utilize sequence information to captur...
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Article
Open AccessThe application of evolutionary computation in generative adversarial networks (GANs): a systematic literature survey
As a subfield of deep learning (DL), generative adversarial networks (GANs) have produced impressive generative results by applying deep generative models to create synthetic data and by performing an adversar...
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Article
Open AccessCapsule Network Based on Double-layer Attention Mechanism and Multi-scale Feature Extraction for Remaining Life Prediction
The era of big data provides a platform for high-precision RUL prediction, but the existing RUL prediction methods, which effectively extract key degradation information, remain a challenge. Existing methods i...
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Chapter and Conference Paper
CMM-Based Cooperative Control Strategy of Supernumerary Robotic Limbs for Human Motion
The Supernumerary Robotic Limbs (SRL) have been proven to cooperate with the wearer to perform tasks in manufacturing domains such as aircraft assembly, mainly by providing support to the wearer through physic...
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Chapter and Conference Paper
A Topological Data Analysis-Based Approach to Object Localization: A Comparison with ViT and Yolov7
In this paper, we present a modified algorithm based on topological data analysis (TDA) for object localization, and compare its performance with two well-known supervised models, Vision Transformer (ViT) and ...
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Chapter and Conference Paper
Vision Transformers for Medical Images Classifications
Image classification method based on Vision Transformers (VT) is gaining popularity as the standard models in natural language processing (NLP)
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Chapter and Conference Paper
Multi-parameter Conformity Calculation of Internal Ballistic Based on Immune Particle Swarm Optimization
Aiming at the problem of multi-parameter coincidence calculation of interior ballistics, taking the burning rate coefficient of the mixed charge as the conformance parameter, the simulation value of the maximu...
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Chapter and Conference Paper
Multi-level Visual Feature Enhancement Method for Visual Question Answering
Visual question answering is a multimodal task that interacts a given image with the corresponding natural language question to get the final answer. Traditional visual question answer models use region-based ...
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Chapter and Conference Paper
T3SFNet: A Tuned Topological Temporal-Spatial Fusion Network for Motor Imagery with Rehabilitation Exoskeleton
In recent years, motor imagery-based brain computer interfaces (MI-BCI) combined with exoskeleton robot has proved to be a promising method for spinal cord injury (SCI) rehabilitation training. The core of BCI...
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Article
Multi-granulation Multi-scale Relation Network for Abstract Reasoning
Abstract reasoning, one of the representative works of logic learning, is to make machines intelligent. To test the intelligence of machines, researchers have proposed multiple benchmark data sets and these da...
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Chapter and Conference Paper
Design and Control of a Bimanual Rehabilitation System for Trunk Impairment Patients
Stroke is one of the leading causes of severe long-term disability worldwide. Past research has proved the effectiveness and importance of trunk rehabilitation in enhancing the locomotive capacities and balanc...
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Chapter and Conference Paper
An EEG-EMG-Based Motor Intention Recognition for Walking Assistive Exoskeletons
Lower Limb Exoskeleton (LLE) has received considerable interests in strength augmentation, rehabilitation and walking assistance scenarios. For walking assistance, the LLE is expected to have the capability of...
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Chapter and Conference Paper
Computation Offloading Algorithm Based on Deep Reinforcement Learning and Multi-Task Dependency for Edge Computing
Edge computing is an emerging promising computing paradigm that brings computation and storage resources to the network edge, significantly reducing service latency. In this paper, we aim to divide the task in...
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Chapter and Conference Paper
Research on Vibration Phase Measurement Technology Based on Laser Interference Waveform Demodulation
Laser interference frequency ratio counting method is widely used in absolute vibration standard devices. However, it can only measure amplitude, and cannot get vibration phase. This paper studies a method of ...
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Book and Conference Proceedings
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Book and Conference Proceedings
Advances in Knowledge Discovery and Data Mining
25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part III
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Book and Conference Proceedings
Advances in Knowledge Discovery and Data Mining
25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part II
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Chapter and Conference Paper
Prediction of Heart Disease Probability Based on Various Body Function
Heart disease is a kind of common circulatory system disease. It is a common disease in internal medicine, which can significantly affect the labor force of patients. The various indicators of the human body c...
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Chapter and Conference Paper
The Influence of Intelligent Capital on the Difference of Enterprise’s Net Value and Value from the Perspective of Value Chain
This paper mainly discusses the impact of intelligent capital on the difference between the net value and value of the middle and lower reaches of the value chain in the perspective of the industrial value cha...
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Chapter and Conference Paper
A Prospective Study of Haptic Feedback Method on a Lower-Extremity Exoskeleton
Medical lower-limb exoskeleton (LLE) has been developed for rehabilitation and walking assistance. However, it lacked feedback on current status to the wearer. The patients with perception lost in lower-extrem...
