Search Results - data processing methods

A Hybrid VGG16‐ViT Approach With Image Processing Techniques for Improved White Blood Cell Classification and Disease Diagnosis: A Retrospective Study by Md Shahin Ali, Md. Maruf Hossain, Md. Mahfuz Ahmed, Kazi Rubaya Nowrin, S. M. Mahim, Shakib Al Hasan, Moutushi Akter Kona, Md Shafiqul Islam, Kazi Mowdud Ahmed, Md Mahbubur Rahman, Md Khairul Islam

“…This study aims to enhance WBC detection and classification using a hybrid VGG16‐Vision Transformer (VGG16‐ViT) model. Methods To enhance the efficiency of the classification process, preprocessing techniques such as data normalization, categorical variable encoding, feature extraction, and data augmentation were employed in conjunction with the proposed model before the training phase. …”
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Unveiling and advancing grassland degradation research using a BERTopic modelling approach by Tong Li, Lizhen Cui, Yu Wu, Rajiv Pandey, Hongdou Liu, Junfu Dong, Weijin Wang, Zhihong Xu, Xiufang Song, Yanbin Hao, Xiaoyong Cui, Jianqing Du, Xuefu Zhang, Yanfen Wang

“…It also highlights the need for integrating advanced computational methods in ecological research in this era of data explosion. …”
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Evaluation of seasonal variation of groundwater quality by using the correlation matrices method in Koppal Taluk, Karnataka, India by Ramesh Basanagouda, Avinash Pandurang, Maradi Nayaka

“…The method used was ArcGIS 10.8, which visualizes spatial distribution for data quality control, identification of erroneous data, and classification of different data types. …”
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Development and Evaluation of a Computable Phenotype for Normal Tension Glaucoma by Fountane Chan, MD, Wei-Chun Lin, MD, PhD, Alan Tang, Benjamin Y. Xu, MD, PhD, Sophia Y. Wang, MD, MS, Michael V. Boland, MD, PhD, Catherine Q. Sun, MD, Sally Baxter, MD, MSc, Brian Stagg, MD, MS, Michelle Hribar, PhD, Aiyin Chen, MD

“…Phenotype 4 combined structured IOP and medication data natural language processing (NLP) to extract IOP values and NTG mentions from chart notes. …”
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Evaluation of hydrodynamic flows of cellular fluid in artificially formed continuums of plant material structure by M. D. Sosnin, I. A. Shorstky

“…As a confirmation of the received data, the experimental part has been set.The Methods. …”
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EquiRate: balanced rating injection approach for popularity bias mitigation in recommender systems by Mert Gulsoy, Emre Yalcin, Alper Bilge

“…In this study, we propose the EquiRate method as a pre-processing approach, addressing this problem by injecting synthetic ratings into less popular items to make the dataset regarding rating distribution more balanced. …”
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Deep Learning Based 3D Visualization Health Condition Monitoring Method for Anchor Digging Machines by YANG Xueqi, GAO Xinqin, ZHENG Haiyang, YANG Jun

“…On this basis, a 3D visualization health condition monitoring method of the anchor digging machine with data interaction was proposed. …”
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3D Synthetic Aperture Imaging Method in Spectrum Domain for Low-Cost Portable Ultrasound Systems by Jurij TASINKIEWICZ

“…It was based on the synthetic transmit aperture (STA) method combined with the Fourier spectrum domain (SD) acoustic data processing. …”
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Sparse Multichannel Decomposition of Electrodermal Activity With Physiological Priors by Samiul Alam, Md. Rafiul Amin, Rose T. Faghih

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Multi-label classification with deep learning techniques applied to the B-Scan images of GPR by El Karakhi, Soukayna, Reineix, Alain, Guiffaut, Christophe

“…However, these approaches often require complex post-processing of the Bscan, which can be time-consuming and therefore makes it difficult to perform real-time characterization at the expense of such methods. …”
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A method for pre-determining edges in 3D point clouds using contour detectors in images by D. G. Filipov, S. L. Katsarska-Filipova, P. L. Raeva

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Applying machine learning to safe vascular anastomosis by Hiroki Umezawa, Akatsuki Kondo, Marie Taga, Rei Ogawa

“…Further development of new central and graphics processing units and computational processing methods will likely lead to machine-learning applications that improve surgery and facilitate medical training.…”
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Method of polarization selection of navigation objects in adverse weather conditions using statistical properties of radio signals by Дмитро Корбан, Олексій Мельник, Сергій Курдюк, Олег Онищенко, Валентина Очеретна, Ольга Щербина, Олег Котенко

“…It provides a novel application of Stokes parameters in radar signal processing for navigation objects, validated by experimental data. …”
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Limited Data Availability in Building Energy Consumption Prediction: A Low-Rank Transfer Learning with Attention-Enhanced Temporal Convolution Network by Bo Wang, Qiming Fu, You Lu, Ke Liu

“…Building energy consumption prediction (BECP) is the essential foundation for attaining energy efficiency in buildings, contributing significantly to tackling global energy challenges and facilitating energy sustainability. However, while data-driven methods have emerged as a crucial method to solving this complex problem, the limited availability of data presents a significant challenge to model training. …”
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Development of the symbol system in consecutive interpreting by S. N. Kurbakova

“…The symbols used by the interpreter testify to what key data the interpreter focuses on and how this information is interpreted. …”
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Improving Performance of Automatic Keyword Extraction (AKE) Methods Using PoS Tagging and Enhanced Semantic-Awareness by Enes Altuncu, Jason R. C. Nurse, Yang Xu, Jie Guo, Shujun Li

“…Automatic keyword extraction (AKE) has gained more importance with the increasing amount of digital textual data that modern computing systems process. It has various applications in information retrieval (IR) and natural language processing (NLP), including text summarisation, topic analysis and document indexing. …”
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Gene expression extraction in cervical cancer by segmentation of microarray images using a novel fuzzy method by Nayyer Mostaghim Bakhshayesh, Mousa Shamsi, Faegheh Golabi

“…It is necessary to obtain gene expression values to identify gene biomarkers involved in all types of cancers, and microarray data is one of the best data for this purpose. In order to extract gene expression values from microarray images that have different challenges. …”
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A method to map real-time gamma-ray radiation in urban areas near the soil surface by Paulo Pereira, Luis Pinto, Miguel Inacio, Damia Barcelo, Eric C. Brevik, Corinne E. Brevik

“…In this work, we developed a “walk-borne” survey methodology to map real-time gamma radiation (count and dose rate) in an urban area (Vilnius, Lithuania) using a small portable spectrometer (RadiaCode). A detailed method was developed considering 1) RadiaCode test in the field, 2) study site selection, 3) transect design to map count and dose rate, 4) RadiaCode map settings preparation, 5) fieldwork and data preparation, 6) data download and processing, and 7) statistical and spatial analysis. …”
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An improved air conditioner label defect detection algorithm based on SURF features by Huizi ZHOU, Yuelin LIU, Qing LIU, Jianwu LI

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Use of a Method for Contour Analysis of Radiation Images of Malignant Breast Tumors on the Basis of Retrospective Material by M. K. Mikhailov, E. A. Romanycheva, V. V. Sevast’yanov, Ya. A. Furman

“…To enhance the reliability of visual analysis of X-ray mammograms, by applying the mathematical models of neoplasms and a method for their processing based on the mathematical apparatus of contour analysis.Material and methods. …”
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