Search Results - data processing methods

Development and Evaluation of Learning Portfolio Query System Based on LangChain Framework by Nien-Lin Hsueh, Wei-Ting Wang

Get full text

Image enhancement for detection of underwater moulted crabs in greenhouse soft-shell crab farming using deep learning by Mohammad Affaiq Bin Aini, Siow Hoo Leong, Yueh Tiam Yong, Beng Yong Lee, Xiaomin Zhao, Sharifah Raina Manaf, Firdaus Abdullah, Heng Yen Khong

Get full text

The effect of heat input on the residual stress distribution in gas-metal arc welding of carbon steel: Simulation and experimental methods by Amir Dadkhah, Mahmoud Sarkari Khorrami, Seyed Farshid Kashani-Bozorg, Reza Miresmaeili

“…After characterizing microstructure and mechanical properties, residual stresses were quantified via the hole-drilling method. Numerical simulation employed Abaqus with the Goldak double-ellipsoid heat source model and element birth-and-death technique, with results validated against experimental data. …”
Get full text

Overview of mathematical EEG analysis. Quantitative EEG by А. А. Ivanov

“…The purpose of this article is to familiarize medical specialists involved in registration and analysis of electroencephalographic (EEG) studies using methods of mathematical processing and analysis for recorded EEG data. …”
Get full text

Analysis of the PointNet neural network architecture by L. A. Shchenyavskaya, D. A. Gura, R. A. Dyachenko

“…Most researchers convert point cloud data into ordinary three-dimensional voxel grids or image collections, which makes the data unnecessarily voluminous and causes problems when processing them. …”
Get full text

Rotary equipment vibration analysis based on phase trajectories by A. V. Tsurko, A. P. Aslamov, Y. P. Aslamov, I. G. Davydov

Get full text

Comparison of Directional and Diffused Lighting for Pixel-Level Segmentation of Concrete Cracks by Hamish Dow, Marcus Perry, Jack McAlorum, Sanjeetha Pennada

“…When tested on cracked and uncracked data, the directional lighting method significantly outperformed other benchmarked diffused lighting methods, attaining a 10% higher true-positive rate (TPR), 12% higher intersection over union (IoU), and 10% higher F1 score with minimal impact on precision. …”
Get full text

An Under-Sampled Line Array Element Signal Reconstruction Method Based on Compressed Sensing Theory by Tongjing SUN, Mengwei ZHOU, Lei CHEN

“…Our simulation and practical test data processing results demonstrate that this method can achieve high-precision reconstruction of under-sampled array element domain signals at low under-sampling rates and can reconstruct full array signals with minimal error. …”
Get full text

Prediction of Auditory Performance in Cochlear Implants Using Machine Learning Methods: A Systematic Review by Beyza Demirtaş Yılmaz

“…<b>Conclusions:</b> In cochlear implantation applications in the field of audiology, it has been observed that studies have been carried out with a variable number of people and data sets in different subfields. In machine learning applications, it is seen that a high amount of data, data diversity and long training times contribute to achieving high performance. …”
Get full text

Three-dimensional modeling of temporal field by radial and finite-differential methods for solving the problems of seismology by V.N. Pilipenko, A.O. Verpakhovskaya

“…Modeling is also an important tool for inspection of correctness of methods for solving the inverse problem during the process of interpretation both seismological and seismic exploration data.  …”
Get full text

Application of the project methods and information technologies in the study of the disciplines of mathematical, physical cycles of the higher school by I. I. Bobrova, E. G. Trofimov

“…Methods of data analysis, systematization and visualization of the obtained data are used to understand and publish the results. …”
Get full text

Enhanced parameter estimation for Lomax distribution using a contemporary triangular fuzzy ranking method by D. Kalpanapriya, Pullooru Bhavana

“…This study presents a novel approach to parameter estimation for the Lomax distribution using a contemporary triangular fuzzy ranking method. The Lomax distribution is critical in reliability analysis and lifetime data modeling but often faces challenges when handling uncertain or imprecise data. …”
Get full text

Interpretable machine learning excavates a low-alloyed magnesium alloy with strength-ductility synergy based on data augmentation and reconstruction by Qinghang Wang, Xu Qin, Shouxin Xia, Li Wang, Weiqi Wang, Weiying Huang, Yan Song, Weineng Tang, Daolun Chen

“…This work proposes an interpretable machine learning method based on data augmentation and reconstruction, excavating high-performance low-alloyed magnesium (Mg) alloys. …”
Get full text

Introducing a Deep Neural Network Model with Practical Implementation for Polyp Detection in Colonoscopy Videos by Hajar Keshavarz, Zohreh Ansari, Hossein Abootalebian, Babak Sabet, Mohammadreza Momenzadeh

“…We address the challenge of limited labeled data through transfer learning and employ multi-task learning to achieve both polyp classification and bounding box detection tasks. …”
Get full text

JASBO: Jaya Average Subtraction Based Optimization with Deep Learning Model for Multi-Classification of Infectious Disease from Unstructured Data by Vian Sabeeh, Ahmed Bahaaulddin A. Alwahhab, Ali Abdulmunim Ibrahim Al-kharaz

“…Medical documents are considered an essential source for modern, invented, and robust analysis methods for accurate infection diagnoses. Accordingly, enriching medical text processing is beneficial in health informatics. …”
Get full text

Designing a Four-Group Permutational Hybrid Feature Selection Scheme for Transient Stability Prediction Based on Multivariate Trajectory Data by Seyed Alireza Bashiri Mosavi, Omid Khalaf Beigi

“…Collecting the optimal transient features (OTFs) from multivariate transient time series data is crucial for ensuring precise and prompt transient analysis (TA) in power systems. …”
Get full text

An effective algorithm for measuring diastolic artery diameters by A.P.G. HOEKS, Xu DI, P.J. BRANDS, R.S. RENEMAN

Get full text

Comparative Analysis of Machine learning Methods to Identify signs of suspicious Transactions of Credit Institutions and Their Clients by Yu. M. Beketnova

“…The paper provides a comparative analysis of the results of processing data on the activities of credit institutions using classification methods — logistic regression, decision trees. …”
Get full text

Automatic extraction and structuration of soil–environment relationship information from soil survey reports by De-sheng WANG, Jun-zhi LIU, A-xing ZHU, Shu WANG, Can-ying ZENG, Tian-wu MA

“…., soil survey reports) is an important potential data source for extracting soil–environment relationships. …”
Get full text

Research and application of water drainage borehole design method based on three-dimensional geological model by Zhenrong WANG

“…The mine roadway model is reconstructed through the roadway centerline with three - dimensional coordinates and relevant attributes; the coal seam model is constructed by triangulating point data and boundary data, and is dynamically updated based on the cross - layer point data during borehole construction; the hydrogeological model is constructed by processing spatial data points using the Delaunay triangulation algorithm, similar to the coal seam modeling method, and is also updated according to the control point data collected during borehole construction. …”
Get full text