Abstract The evolution of the automotive industry demands gearboxes that offer improved specifications in terms power transfer and shifting performance. high-quality standards required for transmission component manufacturing processes render it necessary to measure shaft parts. To realize online diameter inspection parts gearbox production line, a machine vision-based non-contact metrology method with Canny-Steger subpixel edge detection is proposed. interference background was separated...

Abstract. Light detection and ranging (LIDAR) system based on unmanned aerial vehicles (UAVs) recently are in rapid advancement, meanwhile portable flexible mini-UAV-borne laser scanners have been a hot research field, especially for the complex terrain survey mountains other areas. This study proposes power line inspection solution LIDAR system–AOEagle, developed by Academy of Opto-Electronics, Chinese Sciences, which mounted Multi-rotor vehicle according to real test. Furthermore, point...

Three methods, supervised classification (SC), digital number (DN) statistics and Normalized Difference Snow Index (NDSI), are used to map snow cover then calculate area. Data sets from Landsat TM, Moderate Resolution Imaging Spectroradiometer (MODIS) NOAA/AVHRR selected because these sensors of different spatial resolution provide the most up date remote sensing data for China. The results show that best method obtaining index is each sensor products their temporal resolutions objectives...

This paper examines the effectiveness of Differential autoregressive integrated moving average (ARIMA) model in comparison to Long Short Term Memory (LSTM) neural network for predicting Wordle user-reported scores. The ARIMA and LSTM models were trained using data from Twitter between 7th January 2022 31st December 2022. User-reported scores predicted evaluation metrics such as MSE, RMSE, R2, MAE. Various regression models, including XG-Boost Random Forest, used conduct experiments. MAE...

Abstract. UAV LiDAR systems have unique advantage in acquiring 3D geo-information of the targets and expenses are very reasonable; therefore, they capable security inspection high-voltage power lines. There already several methods for line extraction from point cloud data. However, existing either introduce classification errors during filtering, or occasionally unable to detect multiple lines vertical arrangement. This paper proposes implements an automatic method based on spatial features....

Symbolic regression (SR) is the process of finding an unknown mathematical expression given input and output has important applications in interpretable machine learning knowledge discovery. The major difficulty SR that structure NP-hard problem, which makes entire time-consuming. In this study, solution structures was regarded as a classification problem solved by supervised such can be quickly using solving experience. Techniques for tasks, equivalent label merging sample balance, were...

We present simultaneous retrievals of aerosol and marine parameters in coastal areas from ocean color data using the OC-SMART algorithm, Ocean Color: Simultaneous Marine Aerosol Retrieval Tool.OC-SMART uses a one-step nonlinear optimal estimation/Levenberg-Marquardt method instead traditional two-step look-up table approach to improve retrieval accuracy, radial basis function neural network (RBF-NN) forward radiative transfer model for coupled atmosphere-water system increase speed without...

Artificial neural networks (ANNs) have permeated various disciplinary domains, ranging from bioinformatics to financial analytics, where their application has become an indispensable facet of contemporary scientific research endeavors. However, the inherent limitations traditional arise due relatively fixed network structures and activation functions. 1, The type function is single fixed, which leads poor "unit representation ability" network, it often used solve simple problems with very...

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Noise ubiquitously exists in signals due to numerous factors including physical, electronic, and environmental effects. Traditional methods of symbolic regression, such as genetic programming or deep learning models, aim find the most fitting expressions for these signals. However, often overlook noise present real-world data, leading reduced accuracy. To tackle this issue, we propose \textit{\textbf{D}eep Symbolic Regression against \textbf{N}oise via \textbf{C}ontrastive \textbf{L}earning...

Mathematical formulas serve as the means of communication between humans and nature, encapsulating operational laws governing natural phenomena. The concise formulation these is a crucial objective in scientific research an important challenge for artificial intelligence (AI). While traditional neural networks (MLP) excel at data fitting, they often yield uninterpretable black box results that hinder our understanding relationship variables x predicted values y. Moreover, fixed network...

This work reports a preliminary investigation of energy bands AlxGal-xN/GaN heterojunction based on the use artificial neural networks (ANN). Numerical simulations were used to generate training and testing dataset for ANN model. The input parameters are Al content, thicknesses AlxGal-xN barrier layer position description two-Layer Materials, respectively. outputs conduction band profile AlxGal_xN/GaN channel Two-dimensional electron gas (2DEG) concentration distributions. results show that...

Symbolic regression (SR) is a powerful technique for discovering the underlying mathematical expressions from observed data. Inspired by success of deep learning, recent efforts have focused on two categories SR methods. One using neural network or genetic programming to search expression tree directly. Although this has shown promising results, large space poses difficulties in learning constant factors and processing high-dimensional problems. Another approach leveraging transformer-based...

Abstract. As a platform with the advantages of safety, wide altitude range and long flight time, tethered balloon has been used in archaeology, coastal, island mapping other related fields. Tethered is tied to mooring system by tether rope, often moves small airflow, resulting very close distance between camera stations. Due base-to-height ratio, failure relative orientation or poor quality point cloud tend appear frequently. In this paper, for introduced which consists wide-angle camera,...

Abstract. The common optical path payload is a new type of imaging that can acquire LiDAR data and CCD images simultaneously. This integrates the linear according to system, achieves registration point cloud by alignment aperture axis time synchronization control in front hardware. Based on fixed matching relationship between probes offered common, this paper proposes joint calibration method, which reduces ranging error misalignment error. And results verify method effectively improve...