Analysis of Facial Cues for Cognitive Decline Detection Using In-the-Wild Data by Fatimah Alzahrani, Steve Maddock, Heidi Christensen

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The use of 3D modeling to determine the parameters of surgical intervention for pulmonary tuberculosis by E. A. Borodulinа, A. V. Kolsаnov, P. V. Rogozhkin, A. A. Mаnukyan

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A Quality-Centered Analysis of Eye Tracking Data in Foveated Rendering by Thorsten Roth, Martin Weier, André Hinkenjann, Yongmin Li, Philipp Slusallek

“…This work presents the analysis of data recorded by an eye tracking device in the course of evaluating a foveated rendering approach for head-mounted displays (HMDs). …”
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Multimodal Data Fusion Framework for Early Prediction of Autism Spectrum Disorder by Mohemmed Sha, Hussein Al-Dossary, Mohamudha Parveen Rahamathulla

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Mengembangkan Kemampuan Literasi Statistik Melalui Pelatihan Analisis Data Kesehatan by Rachmah Indawati, Mochammad Bagus Qomaruddin, Riris Diana Rachmayanti

“…Konsep literasi statistik untuk mengukur pengetahuan statistik yang dilihat dalam 3 indikator yaitu mampu memahami data statistik, mampu menggunakan konsep statistik untuk menggambarkan kondisi data, mampu membaca data dalam bentuk visual. …”
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Exploring the Applications of Explainability in Wearable Data Analytics: Systematic Literature Review by Yasmin Abdelaal, Michaël Aupetit, Abdelkader Baggag, Dena Al-Thani

“…While wrist-worn wearables are widespread, there is a notable gap in making the data they generate explainable. Post hoc methods such as Shapley Additive Explanations have gained traction for their adaptability in explaining complex algorithms visually. …”
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Information Encryption and Hiding into an Image By Steganography Methods to Improve Data Security by Sefa Tunçer

“…Stego image consist of text and an image which is data hidden into an image. We show that how is hidden information and besides how visual difference is become on example images.…”
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Monitoring Identification of salt crusts in dry areas by satellite data’s processing by fariba sfanyary, nader sarmasty, sid kazem alavipanah

“…Monitoring the salt crusts in arid areas by satellite data processing in this research, monitoring the salt crusts of KASHAN and MAHARLOO arid areas by using LISSIII datas of IRS-P6 satellite was accomplished. …”
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Identification Method of Soft Tissue Deformation System Based on Measured Data by WEN Ze-yu, LI Jie

“…In order to realize the realistic visual sense and touch sense in virtual surgery , we need established accurate soft tissue deformation model. …”
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High-Fidelity Synthetic Data Generation Framework for Unique Objects Detection by Nataliya Shakhovska, Bohdan Sydor, Solomiia Liaskovska, Olga Duran, Yevgen Martyn, Volodymyr Vira

“…One of the key barriers to neural network adoption is the lack of computational resources and high-quality training data—particularly for unique objects without existing datasets. …”
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A Guide to Basic RNA Sequencing Data Processing and Transcriptomic Analysis by Rowayna Shouib, Gary Eitzen, Rineke Steenbergen

“…Multiple approaches to visualize this data using statistical and graphical tools in R are also described, allowing the generation of heatmaps and volcano plots to represent genes and gene sets of interest.…”
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Use Python Data Analysis to Gain Insights from Airbnb Hosts by Zichun Tian

“…To obtain the desired results, the author uses the Pandas, NLTK, and matplotlib packages to better process and visualize the data. Finally, the author will make some recommendations to Airbnb hosts based on the evidence generated from the data in many ways. …”
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VQ-oriented data hiding based on adjustable error compensation strategy by Chin-Chen Chang, Ji-Hwei Horng, Chia-Shou Shih, Xu Wang

“…Nowadays, we greatly depend on Internet mass transmission, of all kinds of data, including critical information among them. …”
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Monitoring changes in the marshes of Mesopotamia using multispectral remote sensing data by Sabeeh Mosleh Jehan

“…It is important to note that Landsat imageries have the capacity to visually document marshes at a scale of 30 meters. …”
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Data transmission with Simulink on 6-DoF platform on CAN BUS by V. G. Mikhailov

“…Use of CAN BUS for data transmission in Real-Time mode with Simulink on control objects is considered (6-DoF a platform).It is revealed that software of CAN_ API.dll adapters, created in the Microsoft Visual Studio (MVS) does not work with TDM-GCC-64 Matlab/Simulink because of different approach in names of the dll functions according to the standard C ++ 11/17. …”
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The Weather Radar as a Tool for Collecting Quantitative Data on Migrating Birds by Roberto Nebuloni, Carlo Capsoni

“…However, turning a radar sensor into a tool for quantitative measurements of birds in flight requires calibration, ad-hoc data sampling strategies, models of birds as radar targets and methods for extracting data from the raw radar echoes. …”
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Improving spatiotemporal data fusion method in multiband images by distributing variates by Yihua Jin, Zhenhao Yin, Weihong Zhu, Dongkun Lee

“…Abstract Several spatiotemporal data fusion methods have been developed to generate continuous fine-resolution satellite imagery using widely available datasets. …”
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Research on emotion monitoring of public based on social network big data by Aili LI, Zishuai ZHANG, Yin LIN, Qiuju WANG, Jianan YANG, Weicheng MENG, Yanfeng ZHANG

“…In recent years, social networking platforms such as Sina Weibo and Twitter have gradually become one of the main carriers for reflecting social public opinion, providing a convenient platform for netizens to express their opinions and emotions.Public opinion monitoring based on social network big data has become a new research hotspot.People’s emotions monitoring using social network big data in various countries is helpful to directly grasp people’s emotional tendencies in international relations, and has a great impact on the diplomacy, foreign trade, and other aspects.Based on this, a public sentiment monitoring system for Chinese and Japanese data was proposed, which could analyze the emotional tendencies contained in Chinese and Japanese data on social platforms such as Sina Weibo and Twitter simultaneously, and displayed them to users in a visual form.In the aspect of sentiment analysis algorithm, based on the BERT model and combined with the self-expanding Chinese and Japanese sentiment lexicon, a new sentiment analysis model, EmoBERT, was proposed.The experimental results show that, compared with the original BERT model, the EmoBERT has achieved good results on both Chinese sentiment classification tasks and Japanese sentiment classification tasks.Among them, EmoBERT-C increases the accuracy of Chinese BERT from 89.68% to 92.15%, and EmoBERT-J increases the accuracy of Japanese BERT model from 74.73% to 78.26%.…”
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Unraveling Spatial Heterogeneity in Mass Spectrometry Imaging Data with GraphMSI by Lei Guo, Peisi Xie, Xionghui Shen, Thomas Ka Yam Lam, Lingli Deng, Chengyi Xie, Xiangnan Xu, Chris Kong Chu Wong, Jingjing Xu, Jiacheng Fang, Xiaoxiao Wang, Zhuang Xiong, Shangyi Luo, Jianing Wang, Jiyang Dong, Zongwei Cai

“…To address these challenges, a novel deep learning‐based approach is proposed, GraphMSI, which integrates metabolic profiles with spatial information to enhance MSI data analysis. Our comparative results demonstrate GraphMSI outperforms commonly used segmentation methods in both visual inspection and quantitative evaluation. …”
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Inverse power XLindley distribution with statistical inference and applications to engineering data by Amal S. Hassan, Najwan Alsadat, Christophe Chesneau, Mohammed Elgarhy, Mohamed Kayid, Suleman Nasiru, Ahmed M. Gemeay

“…The numerical results and graphical presentation indicate that the maximum product of spacing estimation approach has the highest accuracy and precision. Using three real data sets and comparisons with other distributions, the effectiveness of the proposed distribution is demonstrated and visually presented.…”
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