FI-SCAPE: A Divergence Theorem Based Emission Quantification Model for Air/Spaceborne Imaging Spectrometer Derived X_CH4 Observations by Yiyang Huang, Ge Han, Tianqi Shi, Siwei Li, Huiqin Mao, Yihuang Nie, Wei Gong

“…Traditional emission quantification models, such as the Gaussian plume model and some based on chemical transport models, are not optimally suited to the characteristics of new data. …”
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Researcb on Network Security Monitoring Model and Associated Algoritbm in tbe Age of Big Data by Lan Liu, Jun Lin, Jun Cai

“…Some ideas of network security monitoring system for big data environment were provided.…”
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Researcb on Network Security Monitoring Model and Associated Algoritbm in tbe Age of Big Data by Lan Liu, Jun Lin, Jun Cai

“…Some ideas of network security monitoring system for big data environment were provided.…”
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SOURCES OF PRODUCTION AND CONSUMPTION GAP OF MAIN GRAIN IN IRAQ AND OTHER NEARLY COUNTRIES FOR THE PERIOD(1985-2005) "COMPARATIVE ANALYTIC STUDY" by Lora B. Basher AI-Saor

“…On the light of available data the variable could be described and studied which included the normative decline of grain production for three years ago and real income rate of a person also comparative advantage for deficit and surplus of balance of payments to the total local production , again comparative advantage for deficit and surplus for common budget to total local production . the results appeared that the significant and non significant in its effected on food gap size of grains for Iraq and the choosed countries .Via this study we have reach some of results and recommendations.…”
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Using data envelopment analysis to evaluate the efficiency of creative tourism in Portugal by Mansour Ghanian, Paula Remoaldo

“…It is a quantitative study based on primary and secondary sources. Data Envelopment Analysis (DEA) was used to evaluate the efficiency of those projects as decision-making units (DMUs). …”
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Field and farm-level data on agricultural land use for the European Union by Clemens Jänicke, Kristoffer Ansbak Petersen, Phillip Schmidts, Daniel Müller, Martin Rudbeck Jepsen

“…The data cover 19 of 27 EU member states, with annual time series that extend up to 17 years in some member states. …”
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Anomaly Detection in Data Streams Using Machine Learning and Deep Learning by Muhammad Amin Daneshwar

“… Data stream mining for movement has emerged as an important area of machine learning because of the huge amount of changing and continuous data coming from diverse sources such as social media, business sensors, and mobile communications. …”
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Textual Data Selection For Language Modelling In The Scope Of Automatic Speech Recognition by Freha Mezzoudj, David Langois, Denis Jouvet

“…Results show that, in the selection process, the choice of the language models for representing in-domain and non-domain-specific data is critical. Moreover, it is better to apply the data selection only on some selected data sources. …”
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Identifying Socio-Technical Risks in Open-Source Software for Scholarly Communications: Tools, Metrics, and Opportunities for Libraries to Support Sustainable Development by Pierre Lasou, Tomasz Neugebauer, Pamela Carson

“…Since some of the seven OSS projects were spread across multiple GitHub repositories, a total of 11 datasets from GitHub, each containing three months’ worth of data, were analyzed using csDetector.  …”
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Nitrogen isotope ratios across the Bermuda coral reef: implications for coral nitrogen sources and the coral-bound nitrogen isotope proxy by Victoria H. Luu, Yeongjun Ryu, Wren S. Darling, Sergey Oleynik, Samantha J. de Putron, Anne L. Cohen, Xingchen Tony Wang, Daniel M. Sigman

“…The data are inconsistent with corals’ reliance on the dissolved inorganic N used by macroalgae at the same sites. …”
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Applications of aeromagnetic data to detect the Basement Tectonics of Eastern Yemen region by Ahmed S. Abu El-Ata, Ahmed A. EI-Khafeef, Ashraf E. Ghoneimi, Sami H. Abd Alnabi, Marwan A. Al-Badani

“…Three methods for locating magnetic sources (Magnitude of Horizontal Gradients (HGM), the analytical signals (AS) and the local wavenumbers (LW)) in three dimensions and identifying the properties of their sources indicated that, the area was affected by some intrusions at various depths in sill or dyke forms, almost oriented in the NW–SE, NE–SW, E–W and N–S trends. …”
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Application of Deep Learning to the Prediction of Solar Irradiance through Missing Data by R. Girimurugan, P. Selvaraju, Prabahar Jeevanandam, M. Vadivukarassi, S. Subhashini, N. Selvam, S. K. Hasane Ahammad, S. Mayakannan, Selvakumar Kuppusamy Vaithilingam

“…This research suggests utilizing a recurrent neural network (RNN) equipped with an adaptive neural imputation module (ANIM) to estimate direct solar irradiance when some data is missing. Without imputed information, the typical projects’ imminent 4-hour irradiance depends on gaps in antique climatic and irradiation records. …”
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A Cognition Knowledge Representation Model Based on Multidimensional Heterogeneous Data by Dong Zhong, Yi-An Zhu, Lanqing Wang, Junhua Duan, Jiaxuan He

“…Aiming at the problem that the data sources of the knowledge base for constructing the cognitive knowledge graph are wide and heterogeneous, and there are entity semantic differences and knowledge system differences among different data sources, a multimodal entity semantic fusion model based on vector features and a system fusion framework based on HowNet are designed, and the environment description information such as object semantics, attributes, relations, spatial location, and context acquired by industrial robots and their own state information are unified and standardized. …”
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A dataset of the distribution of aflatoxin-producing fungi in JapanMendeley Data by Yuko Tsukada, Masayo Kushiro, Hitomi Wakatsuki, Toshihiro Hasegawa, Motoki Nishimori

“…Here, we present a dataset collected through a systematic literature search from publicly available data sources (Web of Science, CiNii Research, J-STAGE, AgriKnowledge and NARO Genebank), for distribution of AF producing fungi. …”
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Slope—sedimentary source rock-type helium enrichment model: a case study of Shenmu Gas Field, Ordos Basin by Zhengang DING, Chenglin LIU, Liyong FAN, Rui KANG, Jianfa CHEN, Haidong WANG, Sijie HONG, Aslam Khan MUHAMMAD

“…Combining basic geological data of the study area and previous research findings, the helium distribution characteristics and geological influencing factors in the Upper Paleozoic of the Shenmu Gas Field in the Ordos Basin were explored. …”
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Organic matter characteristics of Eocene source rocks with different lithologies in Baiyun Sag of Pearl River Mouth Basin and their geological significance by Yue CHEN, Xiaojun ZHU, Lili ZHANG, Xuhong XIANG, Xiang ZENG, Weilin ZHU

“…Existing studies lack experimental data support, making it difficult to accurately assess the differences in hydrocarbon generation potential among source rocks with different lithologies and from different regions. …”
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Assessing the stability of indoor farming systems using data outlier detection by Jean Pompeo, Ziwen Yu, Chi Zhang, Songzi Wu, Ying Zhang, Celina Gomez, Melanie Correll

“…The residual analysis highlighted that outliers could be attributed to potential issues such as sensor noise, drift, or other sources of uncertainty in data collection. Across different trials, the system displayed varying degrees of resistance to cumulative Agr.Ops, with some trials showing increased resilience over time.DiscussionThe alternative decomposition method used effectively identified outliers and provided valuable insights into the functionality of the system under different operational loads. …”
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exoALMA. I. Science Goals, Project Design, and Data Products by Richard Teague, Myriam Benisty, Stefano Facchini, Misato Fukagawa, Christophe Pinte, Sean M. Andrews, Jaehan Bae, Marcelo Barraza-Alfaro, Gianni Cataldi, Nicolás Cuello, Pietro Curone, Ian Czekala, Daniele Fasano, Mario Flock, Maria Galloway-Sprietsma, Himanshi Garg, Cassandra Hall, Iain Hammond, Thomas Hilder, Jane Huang, John D. Ilee, Andrés F. Izquierdo, Kazuhiro Kanagawa, Geoffroy Lesur, Giuseppe Lodato, Cristiano Longarini, Ryan A. Loomis, Frédéric Masset, Francois Menard, Ryuta Orihara, Daniel J. Price, Giovanni Rosotti, Jochen Stadler, Leonardo Testi, Hsi-Wei Yen, Gaylor Wafflard-Fernandez, David J. Wilner, Andrew J. Winter, Lisa Wölfer, Tomohiro C. Yoshida, Brianna Zawadzki

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Detection of Molecular Clouds in the PeVatron Candidate Source LHAASO J0341+5258 by the Nobeyama 45-m Radio Telescope by Naomi Tsuji, Shunya Takekawa, Kaya Mori, Alison Mitchell, Shuo Zhang, Priyadarshini Bangale, Stephen DiKerby, Tülün Ergin, Jooyun Woo, Samar Safi-Harb, Shinta Kasuya

“…LHAASO J0341+5258 is one of the unidentified ultra-high-energy (UHE; E > 100 TeV) gamma-ray sources detected by LHAASO. Our CO observations were conducted in 2024 February and March, with a total observation time of 36 hr, covering the LHAASO source (∼0 $\mathop{.}…”
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A Novel Method for Screening the PMU Phase Angle Difference Data Based on Hyperplane Clustering by Ancheng Xue, Shuang Leng, Yecheng Li, Feiyang Xu, Kenneth E. Martin, Jingsong Xu

“…Some of the applications, such as line parameter identification and state estimation, depend not only on phase angle data but also on phase angle difference between different locations. …”
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