Efficacy of Calcium Hydroxide/Saline versus Calcium Hydroxide/Artemisia persica Essential Oil as Intracanal Medicament to Improve Radiographic Visualization of Periapical Lesions i... by Ameneh Shareghi, Elmira Ahmadpoor, Zahra Lorigooini, Farnoosh Ahmadi, Saba Tohidkhah

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The integration of forensic accounting and big data technology frameworks for internal fraud mitigation in the banking industry by Oluwatoyin Esther Akinbowale, Polly Mashigo, Mulatu Fekadu Zerihun

“…The purpose of this study is to investigate the integration of forensic accounting and big data technology frameworks in relation to the mitigation of internal fraud risk in the banking industry. …”
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Global residual stress field inference method for die-forging structural parts based on fusion of monitoring data and distribution prior by Shuyuan Chen, Yingguang Li, Changqing Liu, Zhiwei Zhao, Zhibin Chen, Xiao Liu

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A Data-Driven Approach to Estimating the Impact of Audiovisual Art Events Through Web Presence by Andreas Giannakoulopoulos, Minas Pergantis, Aristeidis Lamprogeorgos, Stella Lampoura

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ViCoW: A dataset for colorization and restoration of Vietnam War imageryMendeley Data by Duc-Minh Nguyen, Tri-Nhan Nguyen, Trung-Quan Hoang, Cao Vu Bui

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Designing a System Architecture for Dynamic Data Collection as a Foundation for Knowledge Modeling in Industry by Edmund Radlbauer, Thomas Moser, Markus Wagner

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Semantic SLAM using laser-vision data fusion: Enhancing autonomous navigation in unstructured environments by Ning Chen, Dong Wei, Dongsheng Lin, Linhan Lin

“…In this context, an advanced semantic SLAM algorithm, termed NN-SLAM, is proposed based on the fusion of visual and laser data. For semantic segmentation, the PSPNet_CBAM network framework was developed, achieving improvements of 0.73 %, 0.14 %, and 0.92 % in mean Accuracy (mAcc), Pixel Accuracy (PAcc), and mean Intersection over Union (mIoU), respectively, on the Cityscapes dataset compared to the original PSPNet model. …”
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Proposal of a flood damage road detection method based on deep learning and elevation data by Jun Sakamoto

“…In this study, we propose a method to automatically determine inundated road segments by floods using image recognition technology, a deep learning model, and elevation data. First, we develop a training model using aerial photographs captured during a flood event. …”
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Decoupling Implantation Prediction and Embryo Ranking in Machine Learning: The Impact of Clinical Data and Discarded Embryos by Itay Erlich, Sotirios H. Saravelos, Cristina Hickman, Assaf Ben‐Meir, Iris Har‐Vardi, James A. Grifo, Semra Kahraman, Assaf Zaritsky

“…Automated live embryo imaging has transformed in vitro fertilization (IVF) into a data‐intensive field. Unlike clinicians who rank embryos from the same IVF cycle cohort based on the embryos visual quality and determine how many embryos to transfer based on clinical factors, machine learning solutions usually combine these steps by optimizing for implantation prediction and using the same model for ranking the embryos within a cohort. …”
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Evaluation and Verification of the Global Rapid Identification of Threats System for Infectious Diseases in Textual Data Sources by Andrew G. Huff, Nathan Breit, Toph Allen, Karissa Whiting, Christopher Kiley

“…GRITS analyzes these textual data sources by identifying, extracting, and succinctly visualizing epidemiologic information and suggests potentially associated infectious diseases. …”
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Identification of AI-Generated Rock Thin-Section Images by Feature Analysis Under Data Scarcity by Magdalena Habrat, Maciej Dwornik

“…Given the significant advancements in generative artificial intelligence technologies in recent years, which have enabled the creation of realistic images, a need arises to assess the authenticity of synthetic visual data compared to authentic geological data images. …”
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Design and Development of an Application for Recording Income and Expenditure Data at Darrel's Cake Shop Prabumulih City by Nadyah Seftivia, Muchlis, Nurmayanti

“…Data types consist of qualitative data and data sources consist of primary data and secondary data. …”
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Explaining neural networks for detection of tropical cyclones and atmospheric rivers in gridded atmospheric simulation data by T. Radke, S. Fuchs, C. Wilms, I. Polkova, I. Polkova, I. Polkova, M. Rautenhaus, M. Rautenhaus

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Real world data on digital remote refraction in a healthy population of 14,680 eyes by Casper van der Zee, Heshow Jamal, Marc Muijzer, Laurence Frank, Gerko Vink, Robert Wisse

“…We report real-world 2021–2022 data of the underlying algorithm and validated these to conventional prescriptions among healthy individuals (high visual acuity and satisfactied current refraction). …”
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Design and Efficacy of a Data Lake Architecture for Multimodal Emotion Feature Extraction in Social Media by Yuanyuan Fan, Xifeng Mi

“…The proposed framework encompasses a robust storage solution and an innovative SA model, multilevel spatial attention fusion (MLSAF), adept at handling text and visual data concurrently. The data lake architecture comprises five layers, facilitating real-time and offline data collection, storage, processing, standardized interface services, and data mining analysis. …”
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TeaNet8: A real time Android application-based Tea Leaf Disease detection using fine-tuned transfer learning and Gradient-Weighted Class Activation Mapping visualization by Ismotara Dipty, Md Assaduzzaman, Nafiz Fahad, Md. Jakir Hossen, Md. Farhatul Haider, Fiaj Rahman

“…Preprocessing techniques such as Contrast Limited Adaptive Histogram Equalization (CLAHE), brightness adjustment, and unsharp masking were applied to enhance the dataset. Additionally, data augmentation techniques were used to increase its diversity. …”
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A Python-Based Tool for Real-Time Reverse Osmosis Data Normalization in Desalination Applications by Nitin Prasad, Abhilasha Maheshwari, Ganesh Kumar Pandian, Vijaysai Prasad

“…This work presents the development of a Python-based data normalization tool designed to facilitate RO performance monitoring The tool generates normalized metrics, including salt rejection, pressure difference, and permeate flow rate, providing a clear and consistent baseline for performance evaluation. …”
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Best Band Selection using Principle Component Analysis Algorithm from Remote Sensing Data by Maha Hasso, Mona Siddiq

“…This algorithm is constructed using  Visual C# 2008 that is characterized by efficient and high speed implementation.…”
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Reducing information overload in e-participation: A data-driven prioritization framework for policy-makers by Mathieu Lega, Benito Giunta, Lhorie Pirnay, Anthony Simonofski, Corentin Burnay

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Statistical Analysis of a Generalized Linear Model for Bilateral Correlated Data Under Donner’s Model by Jinlong Cheng, Zhiming Li, Keyi Mou

“…Finally, the proposed methods are illustrated by numerical simulation and visual impairment data from Iran.…”
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