Systemic and local associated disorders in children with congenital cataracts-a retrospective analysis by Rashid Baig, Asma Rahman, Hamzah Jehanzeb, Khadijah Abid

“…Method: The retrospective study was conducted at the Department of Ophthalmology and Visual Sciences, Aga Khan University Hospital, Karachi, and comprised data from January 2014 to December 2019 of patients aged <12 months who underwent lens aspiration. …”
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A novel system applying artificial intelligence in the identification of air leak sitesCentral MessagePerspective by Yuka Kadomatsu, MD, PhD, Megumi Nakao, PhD, Harushi Ueno, MD, Shota Nakamura, MD, PhD, Toyofumi Fengshi Chen-Yoshikawa, MD, PhD

“…Although the current version is still a prototype with a limited training data set, it is a novel concept of leak detection based entirely on visual information.…”
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Perbandingan Klasifikasi Antara KNN dan Naive Bayes pada Penentuan Status Gunung Berapi dengan K-Fold Cross Validation by Firman Tempola, Miftah Muhammad, Amal Khairan

“…Sedangkan untuk validasi data menggunakan k-fold cross validation. Dalam penentuan status gunung berapi pusat vulkanologi dan mitigasi bencana geologi melakukan dengan dua hal yaitu pengamatan visual dan faktor kegempaan. …”
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Multi-scale and multi-context interpretable mapping of cell states across heterogeneous spatial samples by Patrick C. N. Martin, Wenqi Wang, Hyobin Kim, Henrietta Holze, Paul B. Fisher, Arturo P. Saavedra, Robert A. Winn, Esha Madan, Rajan Gogna, Kyoung Jae Won

“…Abstract There is a growing demand for methods that can effectively align and compare spatial data in the absence of obvious visual correspondence. …”
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Comunicazione Digitale XR: Assessing the impact of extended reality technologies on learning by Daniele Zolezzi, Saverio Iacono, Luca Martini, Gianni Viardo Vercelli

“…Quantitative data from surveys and log files were analyzed using descriptive statistics, while qualitative data from interviews were subjected to thematic analysis. …”
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Effects of aspirin and omega-3 fatty acids on composite and subdomain scores from the NEI-VFQ-25 questionnaire: the ASCEND-Eye randomized controlled trial by Emily L. Sammons, Georgina Buck, Louise J. Bowman, William M. Stevens, Imen Hammami, Sarah Parish, Jane Armitage, on behalf of the ASCEND Study Collaborative Group

“…Methods Ordinal data from the NEI-VFQ-25 were analyzed using proportional odds regression methods. …”
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Semi-supervised tissue segmentation from histopathological images with consistency regularization and uncertainty estimation by G. V. S. Sudhamsh, S. Girisha, R. Rashmi

“…However, training these models necessitates huge amounts of labeled data, which can be difficult to come by due to the skill required for annotation and the unavailability of data, particularly for rare diseases. …”
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Implementasi Algoritma Support Vector Machine (SVM) Untuk Klasifikasi Penyakit Stroke by Danis Rifa Nurqotimah, Ahsanun Naseh Khudori, Risqy Siwi Pradini

“…The SVM is a learning method used in medical diagnosis for classification, the researchers processed data sets using the Orange tool. The study used data sets from the data.world.com site with a total of 40,910 data. …”
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Assessing The Feasibility of a Web-Based Interactive Writing Assessment (WISSE): An Evaluation of Media and Linguistic Aspects by Hamamah, Rafidah Sahar, Ive Emaliana, Yulia Hapsari, Putu Dian Danayanti Degeng

“…Quantitative and qualitative data were employed. The quantitative data were obtained through a material validation questionnaire and media validation using a rating scale on the quality of the media obtained from the objective assessment of media experts and linguists. …”
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Bayesian estimation of orientation and direction tuning captures parameter uncertainty by Zongting Wu, Stephen D. Van Hooser

“…This study explores the efficacy of Bayesian estimation in modeling the orientation and direction selectivity of neurons in the primary visual cortex (V1). Unlike traditional methods such as least squares, Bayesian estimation adeptly handles the probabilistic nature of neuronal responses, offering robust analysis even with limited data and weak selectivity. …”
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A simplification method for large-scale urban point clouds considering diversity of terrain object features by Shen Shen, Yonghong Wu, Hongwei Zhang, Jiankai Lu, Hong Fan

“…A critical challenge associated with these data is the substantial volume and high redundancy of original 3D point cloud data, which pose significant difficulties for subsequent applications. …”
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Program complex for the assessment of anthropogenic effect on administrative areas of the Republic of Belarus by O. M. Bakunova, V. M. Abraztsova

“…This program complex is mathematically based on method of finite predicates. It implements data processing, computation of complex indicator a visualizing of comfort living level. …”
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Algorithm of Encrypting Digital Image Using Chaos Neural Network by Ying Mao

“…With the rapid development of digital communication technology, data and image encryption methods will get more and more in-depth research in these aspects. …”
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Traffic congestion forecasting using machine learning methods by Ramil R. Zagidullin, Almaz N. Khaybullin

“…The results demonstrate the superiority of the LSTM model over ARIMA and Random Forest in terms of predictive accuracy, as confirmed by visual comparison of forecasts with test data and by the mean squared error metric. …”
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Characterization of hydrometeorological events and flood impacts in the Basque Country by S. Gaztelumendi, J. Egaña, K. Otxoa de Alda

“…Different datasets are conveniently prepared to extract a range of indicators, taking into account: (1) physiographic and socio-economic factors, (2) damages and impact, (3) hydrometeorological aspects, and (4) weather context. Visual data analytics techniques are utilized for analysis, characterization, and presentation of findings. …”
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Sex identification in rainbow trout using genomic information and machine learning by Andrei A. Kudinov, Antti Kause

“…The amount of genomic data obtained from farmed fish is rapidly growing with the implementation of genomic selection in aquaculture. …”
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Analysis of the half-life ‘ageing-constant’ theory for galvanic anodes: Analysing the model’s predictive power for CPT anodes by Stone Christian, Carr Warren, Roberts Adrian

“…Over the last 4 years, an empirical model describing the current from galvanic anodes has been released based on limited data from some galvanic anodes. The model describes how the current from these anodes appears to halve over set time intervals. …”
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Digital Fingerprinting of Complex Liquids Using a Reconfigurable Multi‐Sensor System with Foundation Models by Gianmarco Gabrieli, Matteo Manica, Joris Cadow‐Gossweiler, Patrick W. Ruch

“…Foundation models have demonstrated unprecedented zero‐shot learning capabilities on various data structures and modalities, in particular for language and vision. …”
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Training marine species object detectors with synthetic images and unsupervised domain adaptation by Heather Doig, Oscar Pizarro, Stefan Williams

“…Using realistic synthetic data for species or objects with few or no annotations is a promising approach to reducing the manual effort required to analyse imaging survey data.…”
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Optimizing document management and retrieval with multimodal transformers and knowledge graphs. by Yali Chen, Bin Hu, Yajuan Liu

“…In the digital age, multimodal archival data is experiencing explosive growth, and how to efficiently and accurately retrieve information from it has become a key challenge. …”
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