Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets. by Michael E Kim, Chenyu Gao, Nancy R Newlin, Gaurav Rudravaram, Aravind R Krishnan, Karthik Ramadass, Praitayini Kanakaraj, Kurt G Schilling, Blake E Dewey, David A Bennett, Sid O'Bryant, Robert C Barber, Derek Archer, Timothy J Hohman, Shunxing Bao, Zhiyuan Li, Bennett A Landman, Nazirah Mohd Khairi, Alzheimer’s Disease Neuroimaging Initiative, HABS-HD Study Team

“…Most efforts to reduce data QC time rely on quantitative outlier detection, which cannot capture every instance of algorithm failure. …”
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Computational linguistics and natural language processing techniques for semantic field extraction in Arabic online news by Maulana Ihsan Ahmad, Moh. Kanif Anwari

“…Using quantitative methods, Arabic news articles were collected and processed with Python, a popular programming language in data analysis, and applied various NLP techniques and machine learning models to accurately extract semantic fields. …”
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Investigation of TsGAN-based multimodal image fusion to augment image pre-processing abilities by Priyanka Bhatambarekar, Gayatri Phade

“…While DL has shown promise in image fusion, it is often hindered by significant computational demands and large data requirements. In contrast, GANs, with their dual network architecture and adversarial training process, present a promising alternative with the potential for superior fusion performance. …”
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Evaluation of Data Extracted from Floor Plans for Apartment Complex Remodeling by Dongik Shin, Hyeongmin Ryu, Jeeyeop Kim, Jinyoung Kim

“…The proposed method can continuously accumulate data from domestic apartment house remodeling projects and accelerate the process by shortening the time required for final decision-making in future remodeling projects.…”
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Sentiment Analysis from Face Expressions Based on Image Processing Using Deep Learning Methods by Orhan Emre Aksoy, Selda Güney

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Perception and Reuse of Open Data in the Spanish University Teaching and Research Community by Christian Vidal-Cabo, Enrique Alfonso Sánchez-Pérez, Antonia Ferrer-Sapena

“…Analysis. The data obtained through this quantitative methodology were processed, normalised, and analysed. …”
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Is Autonomic Function Associated with (Central) Pain Processing in Individuals with Chronic Pain? A Systematic Review by Iris Meuwissen, Catharina Quaadvliet, Mira Meeus, Timo Meus, Michel GCAM Mertens

“…Chronic pain often involves altered central pain processing (CPP), characterized by widespread allodynia and hyperalgesia. …”
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Research on evolution characteristics and correlation relationship of microseismic multidimensional information in mining process by Chao Guo, Haotian Li, Jiang Sun

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Systematic review of the concept ‘male involvement in maternal health’ by natural language processing and descriptive analysis by Kristien Roelens, Nafissa Bique Osman, Sally Griffin, Anna Galle, Gaëlle Plaieser, Tessa Van Steenstraeten, Olivier Degomme

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Atmospheric Turbulence Intensity Image Acquisition Method Based on Convolutional Neural Network by Yuan Mu, Liangping Zhou, Shiyong Shao, Zhiqiang Wang, Pei Tang, Zhiyuan Hu, Liwen Ye

“…By processing the acquired spot image data, the channel attention and spatial attention mechanisms are utilized, and the convolutional neural network learns the interdependence between the channel and space of the feature image and adaptively recalibrates the feature response in terms of the channel to increase the contribution of the foreground spot and suppress the background features. …”
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ESC-Track: A computer workflow for 4-D segmentation, tracking, lineage tracing and dynamic context analysis of ESCs by Laura Fernández-de-Manúel, Covadonga Díaz-Díaz, Daniel Jiménez-Carretero, Miguel Torres, María C. Montoya

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Linking structure and process in dendritic growth using persistent homology with energy analysis by Misato Tone, Shunsuke Sato, Sotaro Kunii, Ippei Obayashi, Yasuaki Hiraoka, Yui Ogawa, Hirokazu Fukidome, Alexandre Lira Foggiatto, Chiharu Mitsumata, Ryunosuke Nagaoka, Arpita Varadwaj, Iwao Matsuda, Masato Kotsugi

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An accessible method for implementing hierarchical models with spatio-temporal abundance data. by Beth E Ross, Mevin B Hooten, David N Koons

“…We present a case study using two important game species in North America, the lesser and greater scaup, to demonstrate how INLA can be used to estimate the parameters in a hierarchical model that decouples observation error from process variation, and accounts for unknown sources of excess zeros as well as spatial and temporal dependence in the data. …”
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Enhancing Genomic Data Representation Through BERT-LSTM Hybrid Architecture by Kyeong Ho Kim, Minji Kim, Sohui Kim, Jong-Min Lee

“…Our method processes genetic sequence data through k-mer tokenization and employs BERT to capture complex patterns, followed by LSTM to preserve essential sequential information while creating fixed-size representations. …”
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The development of metabolomic sampling procedures for Pichia pastoris, and baseline metabolome data. by Gregory D Tredwell, Bryn Edwards-Jones, David J Leak, Jacob G Bundy

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Implementing and evaluating a project to enable and encourage Caribbean data-sharing by Selvi M. Jeyaseelan, Natasha P. Sobers, Kayla Grant, Gian Marco Vasquez, Shamar Blenman, Ian R. Hambleton

“…The online platform is anticipated to streamline the processes of data collection and sharing, while the training program is expected to bolster regional expertise in data analytics and management. …”
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Modeling and computational study of cancer treatment with radiotherapy using real data. by Parvaiz Ahmad Naik, Muhammad Farman, Saba Jamil, Muhammad Umer Saleem, Kottakkaran Sooppy Nisar, Zhengxin Huang

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Actionable Wearables Data for the Neurology Clinic: A Proof‐of‐Concept Tool by Nicolette Miller, Ebenezer Chinedu‐Eneh, Jaeleene Wijangco, Kyra Henderson, Nikki Sisodia, Narender Sara, Jennifer Reihm, Shane Poole, Jim Rowson, Chu‐Yueh Guo, Jeffrey M. Gelfand, Valerie J. Block, Riley Bove

“…Methods Through a process of human‐centered design, stakeholders were engaged to create a technological solution to access and display wearables data via a launch from the electronic health record (EHR). …”
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RABiTPy: an open-source Python software for rapid, AI-powered bacterial tracking and analysis by Samyabrata Sen, Indraneel Vairagare, Jitendrapuri Gosai, Abhishek Shrivastava

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E(in)volution of standards in student housing design by Claudio Piferi

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