Data Mining and Big Data
8th International Conference, DMBD 2023, Sanya, China, December 9–12, 2023, Proceedings, Part I
Page
%P
229 Result(s)
within
Yuhui **n
Artificial Intelligence
-
Article
Erratum to: Bio-inspired Attachment Mechanism of Dynastes Hercules: Vertical Climbing for On-Orbit Assembly Legged Robots
-
Article
Hyperspectral classification employing spatial–spectral low rank representation in hidden fields
This paper presents a novel classification method based on spatial–spectral low-rank representation in the hidden field under a Bayesian framework for hyperspectral imagery. The key idea of the method is to si...
-
Article
A motion denoising algorithm with Gaussian self-adjusting threshold for event camera
Event cameras, characterized by their low power consumption, expansive dynamic range, and high temporal resolution, have attracted great attentions in various computer vision tasks. Compared to frame-based cam...
-
Chapter and Conference Paper
A Prediction Model for the Equivalent Parameters of an Acoustic Transducer Based on DPSD and LSTM Neural Network
This article proposes a novel model for predicting the equivalent parameters of underwater acoustic transducers. To address this challenging task, the model utilizes Digital Phase-Sensitive Detection(DPSD) on ...
-
Book and Conference Proceedings
-
Article
Bio-inspired Attachment Mechanism of Dynastes Hercules: Vertical Climbing for On-Orbit Assembly Legged Robots
With the increasing size of space facilities, on-orbit assembly requires robots to move on different heights of trusses. This paper proposes a bio-inspired attachment mechanism for robot feet to enable climbin...
-
Book and Conference Proceedings
Data Mining and Big Data
8th International Conference, DMBD 2023, Sanya, China, December 9–12, 2023, Proceedings, Part II
-
Chapter and Conference Paper
Adjusting Exploitation and Exploration Rates of Differential Evolution: A Novel Mutation Strategy
Differential evolution (DE) has attracted significant attention in recent years owing to its high performance in solving continuous problems. Up to now, a large number of variants of DE mutation strategy have ...
-
Article
WCDForest: a weighted cascade deep forest model toward the classification tasks
The deep forest model, a random forest (RF) ensemble approach and an alternative to Deep Neural Network (DNN), has performance highly competitive to DNN in many classification tasks. However, deep forest model...
-
Article
A trust region based local Bayesian optimization without exhausted optimization of acquisition function
Bayesian optimization (BO) is an effective optimization technique for solving expensive black-box problems. Even though BO has remarkable success, its drawbacks are also obvious. First, the time complexity of ...
-
Article
Open AccessBrain Storm Optimization Algorithm with an Adaptive Parameter Control Strategy for Finding Multiple Optimal Solutions
Real-world optimization problems often have multiple optimal solutions and simultaneously finding these optimal solutions is beneficial yet challenging. Brain storm optimization (BSO) is a relatively new parad...
-
Article
HaarAE: an unsupervised anomaly detection model for IOT devices based on Haar wavelet transform
Given the shortcomings of the existing anomaly detection methods based on IoT devices, including insufficient feature extraction, poor model fitting effect and low accuracy, this paper proposes an unsupervised...
-
Article
Open AccessHigh Utility Teleoperation Framework for Legged Manipulators Through Leveraging Whole-Body Control
Legged manipulators are a prime candidate for reducing risk to human lives through completing tasks in hazardous environments. However, controlling these systems in real-world applications requires a highly fu...
-
Article
Open AccessA Real-Time Planning and Control Framework for Robust and Dynamic Quadrupedal Locomotion
Legged locomotion poses significant challenges due to its nonlinear, underactuated and hybrid dynamic properties. These challenges are exacerbated by the high-speed motion and presence of aerial phases in dyna...
-
Article
Brain storm optimization algorithm for solving knowledge spillover problems
The evolutionary game theory aims to simulate different decision strategies in populations of individuals and to determine how the population evolves. Compared to strategies between two agents, such as coopera...
-
Article
Multi-granularity feature utilization network for cross-modality visible-infrared person re-identification
Cross-modality visible-infrared person re-identification (VI-ReID) aims to recognize images with the same identity between visible modality and infrared modality, which is a very challenging task because it no...
-
Article
EAAE: A Generative Adversarial Mechanism Based Classfication Method for Small-scale Datasets
When used for small-scale datasets classification tasks, deep neural networks are difficult to train, which results in the network not extracting useful features and the low accuracy of network. This paper pro...
-
Article
Automatic choroid layer segmentation in OCT images via context efficient adaptive network
Optical Coherence Tomography (OCT) is a non-invasive and newly-develo** technique to image human retina and choroid. Many ocular diseases such as pathological myopia and Age-related Macular Degeneration (AMD...
-
Chapter and Conference Paper
A Data-Driven Algorithm for Large-Scale Multi-camera Calibration
Multi-camera calibration, which is the establishment of a map** relationship between the 2D coordinates of individual cameras and the 3D world coordinates, has been a major challenge in computer vision techn...
-
Chapter and Conference Paper
Fusing Structural and Functional Connectivities Using Disentangled VAE for Detecting MCI
Brain network analysis is a useful approach to studying human brain disorders because it can distinguish patients from healthy people by detecting abnormal connections. Due to the complementary information fro...
