Application of supervised machine learning and unsupervised data compression models for pore pressure prediction employing drilling, petrophysical, and well log data by Abu Bakker Siddique, Tanveer Alam Munshi, Nazmul Islam Rakin, Mahamudul Hashan, Sushmita Sarker Chnapa, Labiba Nusrat Jahan

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MetS: an interactive application to identify metabolites in liquid chromatography-mass spectrometry experiments with data independent acquisition by Daniel Estevan Garcia-Niño, Liliana Lopez-Kleine, Federico Roda-Fornaguera

Subjects: “…application…”
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Steam Computing Analysis and Application on Operator Real-time Signal Big Data Processing by Bin Dong, Di Yang, Zheng Wang, Wenhong Zhou

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Application research of sample data generation based on improved Cycle-GAN in intrusion detection by ZENG Qingpeng, GUO Hangkai

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Practice on data application and security protection in the field of natural resources in Beijing under the digital intelligence transformation by WEI Lili, GU Jin, WANG Jing

“…Finally, the implementation path of Beijing in improving the efficiency of natural resources data application and ensuring data security was presented, and further optimization ideas for natural resources data management and security protection were explored from the perspectives of organizational structure, institutional norms, and technical support.…”
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Practice on data application and security protection in the field of natural resources in Beijing under the digital intelligence transformation by WEI Lili, GU Jin, WANG Jing

“…Finally, the implementation path of Beijing in improving the efficiency of natural resources data application and ensuring data security was presented, and further optimization ideas for natural resources data management and security protection were explored from the perspectives of organizational structure, institutional norms, and technical support.…”
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Application of Classical and Genomic Cryptography on Textual Dataset by İbrahim Türkoğlu, Alev Kaya

“…These factors include the file format used, the volume and complexity of the data. Additionally, the key system and application platform (software and hardware) also affect performance. …”
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Review of the application of “3S” technique in environment quality assessment by WANG Wei-wu, WANG Ren-chao, ZHU Li-zhong

“…Finally, the paper disscussed the way and studied fields of the further application of “3S” technique in environment quality assessment, and focus on espeacially the foreground of hyperspectral remote sensing and data technique such as data mining (DM) and data fusion in environment quality assessment.…”
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MUTFER2024: A new dataset for South African emotion recognitionMendeley DataGithub repository by Rogerant Tshibangu, Jules R Tapamo

“…Facial Emotion Recognition (FER) plays a critical role in applications such as human-computer interaction, security, and healthcare. …”
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Generalized PCA Method and Its Application in Uncertainty Reasoning by Bin Wu, Xiao Yi, Dong Ning Zhao

“…In the process of uncertain reasoning, as the elements in the recognition framework increase, the evidence dimension increases exponentially, and the calculation amount also increases exponentially, which greatly affects the application of uncertainty theory in practical engineering. …”
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Applicability of IT Systems in Business in the Context of the Digitalization of Economic Processes by Ioana Lazarescu, Gabriela Gheorghe, Alexandrina Brinza

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An application of DEA method for ranking different Tehran municipality branches by Seyed Hossein Miri, Younos Vakil Alroaia, Simin Bohlouli

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Neutrosophic CRITIC MCDM for Prosthesis Rehabilitation, its Applications and Technologies by Huda E. Khalid, Ibrahim Bahjat Ibrahim, A. A. Salama, Ahmed K. Essa, Maher Noorlden Saaed, Muhammad Mustaffa Hussein

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Applications of machine learning in glaucoma diagnosis based on tabular data: a systematic review by Mohammad Hasan Shahriari, Farkhondeh Asadi, Hamid Moghaddasi, Arash Roshanpour, Farideh Sharifipour, Zahra Khorrami

“…The results highlight the potential of ML to improve glaucoma detection, though further research is needed to enhance data quality and model validation for broader clinical applicability.…”
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Retracted: Applications of Bladder Cancer Data Using a Modified Log-Logistic Model by Applied Bionics and Biomechanics

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Application of machine learning in diabetes prediction based on electronic health record data analysis by Yang Zihan

“…With the application of electronic health records (EHRs) in the medical field, the use of machine learning to predict disease has become one of the important research hotspots in the healthcare industry. …”
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On Statistical Properties of a New Bivariate Modified Lindley Distribution with an Application to Financial Data by Ahmed Elhassanein

“…The univariate one-parameter Lindley distribution is still one of the most applicable distributions in data analysis especially in lifetime data. …”
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Efficient k-mer based curation of raw sequence data: application in Drosophila suzukii by Gautier, Mathieu

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Research and application of key technologies for data delivery in railway engineering design based on metadata by Xiangru Lyu, Xunxiao Yin, Kun Wang, Yongwen Wei

“…The railway engineering collaborative design platform mainly includes functional modules such as metadata management, design collaboration, design delivery management, model component library, model rendering services, and Building Information Modeling (BIM) application services. Based on this, research is conducted on multi-disciplinary parameterized collaborative design technology for railway engineering, infrastructure data management and delivery technology, and design multi-source data fusion and application technology. …”
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Development and application of knowledge graph-based spatiotemporal data model for urban physical examination by Sijia Wang, Jun Chen, Dongyang Hou, Xiaoguang Zhou, Bingliang Cui, Xiaoyang Zhang, Yu Wang, Dongyuan Li, Junyu Cui, Silong Luo, Qiankun Kang

“…In view of the above, this paper proposes a knowledge graph-based spatiotemporal data model for the urban physical examination. The model focuses on application scenarios, and builds a conceptual model with a three-layer architecture of ‘semantics-data-scenario’ and an ontology logic model structured as a hypergraph. …”
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