Search Results - data processing methods

On the processes of diorthogonalization of some vector families, which appear while characteristic polynomes of matrices are being constructed and which are used for solving the sy... by O. A. Chernaya, A. I. Yakimchik

“… In accordance with published data some methods of indirect determination of characteristic matrix polynome based upon orthogonalization of some vectors sequences have been outlined in the paper. …”
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Machine learning using genotype and gene-expression data identifies alterations of genes involved in infection susceptibility, antigen presentation and cytokine signalling as key c... by Nicholas Pudjihartono, Daniel Ho, Justin Martin O’Sullivan

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An Artificial Intelligence Solution for Automated Dental Inspection and Charting by M.A. Moufti, M. Abu Talib, S. Al Mokdad, A. Alhouria, M. Alsaffarini, N. Almahmeed, S. Eldessouky, W. Kharoufah, Q. Nasir

“…This study encompasses tooth identification, the initial phase of our development process. Methods: 100 intra-oral videos were recorded, annotated using CVAT software, and split into training and testing datasets (80:20 ratio) to develop an object detection YOLOv7x model on a Convolutional Neural Network (CNN). …”
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FWFA: Fairness-Weighted Federated Aggregation for Privacy-Aware Decision Intelligence by Rahul Haripriya, Nilay Khare, Manish Pandey, Shrijal Patel, Jaytrilok Choudhary, Dhirendra Pratap Singh, Surendra Solanki, Duansh Sharma

“…As machine learning (ML) and artificial intelligence (AI) increasingly influence such decisions, promoting responsible AI that minimizes bias while preserving data privacy has become essential. However, existing fairness-aware models are often centralized or ill-equipped to handle non-IID data, limiting their real-world applicability. …”
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Automatic sequence identification in multicentric prostate multiparametric MRI datasets for clinical machine-learning by José Guilherme de Almeida, Ana Sofia Castro Verde, Carlos Bilreiro, Inês Santiago, Joana Ip, Manolis Tsiknakis, Kostas Marias, Daniele Regge, Celso Matos, Nickolas Papanikolaou, ProCAncer-I

“…Metadata was processed for all series and two models were trained (XGBoost after custom categorical tokenization and CatBoost with raw categorical data) using 5-fold cross-validation (CV) with different data fractions for learning curve analyses. …”
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The Evolution of Machine Learning in Vibration and Acoustics: A Decade of Innovation (2015–2024) by Jacek Lukasz Wilk-Jakubowski, Lukasz Pawlik, Damian Frej, Grzegorz Wilk-Jakubowski

“…The findings indicate a clear shift towards deep learning-based methods and multisensor data fusion, accompanied by increasing use of automatic feature extraction and interest in transfer learning, few-shot learning, and unsupervised approaches. …”
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Dependence of suicide frequency rate on the use of non-office hours by P. A. Korotkov, A. B. rubyanov, E. A. Zagaynova, I. D. Chemodanova

“…The methodology of the research is based on the correlation analysis of the panel data and the national approaches to identifying the nucleus of certain processes as a set of sustainable properties emerging in different interactions.As a result of small sampling in correlation analysis of suicide frequency rate and the use of time we applied non-parametric methods. …”
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Beyond Standard Losses: Redefining Text-to-SQL with Task-Specific Optimization by Iker Azurmendi, Ekaitz Zulueta, Gustavo García, Nekane Uriarte-Arrazola, Jose Manuel Lopez-Guede

“…This approach avoids computationally expensive approaches such as SQL validation or detokenization, which improves the efficiency of the learning process compared to alternative methods. We empirically tested this method on several open source LLMs with less than 2 billion parameters, using a customized real vehicle diagnostic dataset. …”
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Leveraging Image Analysis and Deep Convolutional Neural Networks for Cutting-Edge Malware Detection and Mitigation by Mohammad Mahmood Otoom, Ahmad Mahmoud Etoom

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Dynamic taxonomy generation for future skills identification using a named entity recognition and relation extraction pipeline by Luis Jose Gonzalez-Gomez, Sofia Margarita Hernandez-Munoz, Abiel Borja, Fernando A. Arana-Salas, Jose Daniel Azofeifa, Jose Daniel Azofeifa, Julieta Noguez, Patricia Caratozzolo, Patricia Caratozzolo

“…A custom pipeline was used for PDF text extraction, tokenization, and lemmatization to standardize the data. The models were trained and evaluated using over 1,700 annotated documents, with the training process optimized for both entity recognition and relationship prediction accuracy.ResultsThe NER and RE models demonstrated promising performance. …”
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Investigating the Quality of Waiting Time and Visits of Patients Referring to Comprehensive Health Centers using the Structure, Process, and Outcome Standards: A Case Study of Nort... by Maysam Yousefi, Eshrati Ali Asghar, Andisheh Eslami, Milad Mehri, Anahita Behzadi

“…The quantitative phase involved 429 patients visiting comprehensive health centers in Mashhad from May to August 2022. Data was collected through a three-part questionnaire assessing structure, process, and outcome standards and analyzed using SPSS version 24. …”
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DESIGNING AND EFFICIENCY EFFECT OF AUTOMATIC BALL-CLEANING SYSTEM FOR CONDENSER 180-KTsS-1 OF TURBINE Т-180/210-130-1 LMZ. Part 1 by Yu. A. Zenovich-Leshkevich-Ol’pinskiy, A. Yu. Naumov, A. Yu. Zenovich-Leshkevich-Ol’pinskaya

“…The authors consider developed algorithms of data processing and designed system control of the condenser cleaning that allowed realizing its operation in automatic mode.…”
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Unseen Attack Detection in Software-Defined Networking Using a BERT-Based Large Language Model by Mohammed N. Swileh, Shengli Zhang

“…Software-defined networking (SDN) represents a transformative shift in network architecture by decoupling the control plane from the data plane, enabling centralized and flexible management of network resources. …”
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PyPortOptimization: A portfolio optimization pipeline leveraging multiple expected return methods, risk models, and post-optimization allocation techniques by Rushikesh Nakhate, Harikrishnan Ramachandran, Amay Mahajan

“…The library offers a flexible and scalable solution for constructing optimized portfolios by supporting various risk-return matrices, covariance and correlation matrices, and optimization methods. Users can customize the pipeline at every step, from data acquisition to post-processing of portfolio weights, using their own methods or selecting from predefined options. …”
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TCDE: Differential Evolution for Topographical Contour-Based Prediction to Solve Multimodal Optimization Problems by Zhen Cheng, Yun Zhang, Caifu Fan, Xingwei Gao, Haohan Jia, Lei Jiang

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Analyzing Students' Interest in Mathematics Through the Implementation of the K-Means Clustering Algorithm by Dede Wintana, Hamdun Sulaiman, Ramdhan Saepul Rohman, Gunawan Gunawan, Muhammad Abdul Ghani

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Research on the Virtual Monitoring System for Double-sided Grinding Based on Digital Twin by HU Zhongwei, LI Xianbao, BAI Zipan, LAI Zhiyuan

“…Focusing on the double-sided grinding process, this study investigates the visualization monitoring technology of digital twin and the integration method of physical rules, and develops a virtual monitoring system based on digital twin. …”
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Concrete Bridge Crack Detection Using Unmanned Aerial Vehicles and Image Segmentation by Yanli Chen, Hongze Li, Hang Zhu, Tianlong Ren, Zhe Cao

“…Experimental validation on a real bridge dataset demonstrates significant improvements in detection accuracy. The method provides a reliable tool for automated structural health monitoring, supporting data-driven maintenance decisions.…”
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Semi-supervised inverted file index approach for approximate nearest neighbor search by Антон Баздирев

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Construction and Application of Intelligent O&M System for Urban Rail Transit Signaling Systems by YU Meng, LU Huaike, LIANG Zhe, FAN Zichao, GAO Ning

“…[Method] By integrating multi-source heterogeneous data and building a multi-layer architecture, the system enables real-time equipment status monitoring and degradation trend analysis, significantly improving data utilization and fault identification capabilities. …”
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