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Quantum mechanics-based deep learning framework considering near-zero variance data
AbstractWith the development of automation technology, big data is collected during operation processes, and among various machine learning analysis...
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Relationships between Teaching Presence, Connected Classroom Climate, and Deep Learning within the Rotational Synchronous Teaching Model
The rotational synchronous teaching (RST) model has attracted attention as it can increase the teaching presence and connected classroom climate in...
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Disentanglement and Local Directions of Variance
Previous line of research on learning disentangled representations in an unsupervised setting focused on enforcing an uncorrelated posterior. These...
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Improving Particle Swarm Optimization with Self-adaptive Parameters, Rotational Invariance, and Diversity Control
Particle Swarm Optimization (PSO) algorithms are swarm intelligence methods that are effective in solving optimization problems. However, current...
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A simple model analysis of a space exploration rover’s mobility against variance of gravity and movement speed
In space engineering, one of the hot topics is to extend the mobility of space exploration rovers. According to the exploration environment, the...
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Tackling Inter-class Similarity and Intra-class Variance for Microscopic Image-Based Classification
Automatic classification of aquatic microorganisms is based on the morphological features extracted from individual images. The current works on...
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A novel augmented reality for hidden organs visualisation in surgery: enhanced super-pixel with sub sampling and variance adaptive algorithm
In recent years , Augmented Reality (AR) has gained more attention as an effective tool in medical surgeries. The potentials of using AR in the...
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Conditional variance penalties and domain shift robustness
When training a deep neural network for image classification, one can broadly distinguish between two types of latent features of images that will...
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A Novel Methodology for Engine Diagnosis Based on Multiscale Permutation Entropy and Machine Learning Using Non-intrusive Data
Internal Combustion Engines (ICE) are widely used in everyday life regardless of its contaminant emissions production, in order to reduce the impact...
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Difficulty Within Deep Learning Object-Recognition Due to Object Variance
It is one of the areas where deep learning models demonstrate possible performance bottleneck to learn objects with variations rapidly and precisely....
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Bi-RDNet: Performance Enhancement for Remote Sensing Scene Classification with Rotational Duplicate Layers
We propose compact and effective network layer Rotational Duplicate Layer (RDLayer) that takes the place of regular convolution layer resulting up to...
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Design of a Left-Right-Independent Pedaling Machine for Lower-Limb Rehabilitation
This paper presents a new lower-limb rehabilitation machine to meet the rehabilitation needs of hemiplegic patients. First, we select a...
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Background Features-Based Novel Visual Ego-Motion Estimation
For localization in mobile robotics, usage of camera provides hundreds and thousands of information about its environment and poses a great challenge...
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Weight Re-map** for Variational Quantum Algorithms
Inspired by the remarkable success of artificial neural networks across a broad spectrum of AI tasks, variational quantum circuits (VQCs) have...
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A robust optimal mean cosine angle 2DPCA for image feature extraction
Currently, angle two-dimensional principal component analysis (Angle 2DPCA) effectively enhances the robustness of traditional 2DPCA by using a...
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An Image Zero Watermark Algorithm Based on DINOv2 and Multiple Cycle Transformation
To address the issue of insufficient robustness in image feature extraction by current zero-watermarking techniques, which negatively impacts...
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Evaluation of Camera Pose Estimation Using Human Head Pose Estimation
We introduce and evaluate a novel camera pose estimation framework that uses the human head as a calibration object. The proposed method facilitates...
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A System for Truss Manipulation with Relative Robots: Designing and Prototy** HookBot
This paper presents design details and proof-of-concept prototypes of a relative robot, so called ‘HookBot’, customized for autonomous discrete...
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Tactile-Based Slip Detection Towards Robot Gras**
Precise grasp is a vital application in robot manipulation while real-time slip detection can help the control system to monitor grasp force and...
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Enhancing YOLOv7 for Plant Organs Detection Using Attention-Gate Mechanism
Herbarium scans are valuable raw data for studying how plants adapt to climate change and respond to various factors. Characterization of plant...