Benchmarking Deep Learning for Wetland Mapping in Denmark Using Remote Sensing Data by Muhammad Rizwan Asif

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The Impact of Cancer on Poverty: An Analytical Study Using Big Data and OLS Regression by Heny Pratiwi, Muhammad Ibnu Sa’ad, Wahyuni Wahyuni, Syamsuddin Mallala

“…This study aimed to analyze the relationship between cancer mortality rates and poverty levels using the Ordinary Least Squares (OLS) regression method and big data covering various socio-economic indicators. …”
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Maturity of knowledge management evaluation in organizational units using Data Envelopment Analysis by Nazila Adabavazeh, Mehrzad Navabakhsh

“…The present research evaluates organizational maturity using knowledge management through data envelopment analysis. …”
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NEW MECHANISMS FOR NANOINDENTATION DATA PROCESSING USING ATOMIC FORCE MICROSCOPY METHOD by A. A. Mohammed Salem, G. B. Melnikova, A. A. Makhaniok, S. A. Chizhik

“…Elastic modulus accuracy using atomic force microscopy  depends significantly on processing quality of the experimental data obtained during nanoindentation.  …”
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Using spatial, economic, and ecological opinion data to inform gray wolf conservation by Meredith S. Berry, Norma P. Nickerson, Elizabeth Covelli Metcalf

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A comprehensive review of tree cover mapping using satellite sensor data by Md. Shamim Reza Saimun, M. Mahmudur Rahman

“…From coarse to high resolution satellite data (e.g., Landsat, Sentinel, MODIS, Worldview, ALOS PALSAR etc.) are used independently or with an integration depending on the purpose, availability, and economical feasibility. …”
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The use of photography for qualitative data collection with adolescent mothers: a scoping review by Daniela de Castro Barbosa Leonello, Giovanna Ushirobira Souza, Rhyquelle Rhibna Neris, Giovanna Cristina Machado Kayzuka, Marina Prado de Souza, Adriana Moraes Leite

“…Introduction: Photography has been increasingly explored in data collection processes, as it enriches the process and allows the interviewee to take on the role of protagonist [1]. …”
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Liquid-liquid equilibrium data prediction using large margin nearest neighbor by mohsen pirdashti, kamyar movagharnejad, silvia Curteanu, Florin Leon, Farshad Rahimpour

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Skeleton-Based Data Augmentation for Sign Language Recognition Using Adversarial Learning by Yuriya Nakamura, Lei Jing

“…In general, data augmentation is used as a solution to the problems but model training and data augmentation are performed independently, and it is difficult to adjust the parameters for data augmentation. …”
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Data-Driven Approach for Passenger Mobility Pattern Recognition Using Spatiotemporal Embedding by Chao Yu, Haiying Li, Xinyue Xu, Jun Liu, Jianrui Miao, Yitang Wang, Qi Sun

“…This paper aims to propose a data-driven method to identify metro passenger mobility patterns based on Automatic Fare Collection (AFC) data and geo-based data. …”
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Tracking Air Pollution Changes Using Sentinel-5P Data in Khuzestan. by Behnaz Ghaderi, Payam Alemi Safaval, Mohammad Reza Tabesh, Zahra Azizi

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The secondary use of the Finnish national health data repository Kanta – opportunities and obstacles by Emmi Eronen, Alpo Olavi Värri, Miika Järvinen

“… The Finnish law about the secondary use of health data has made it possible to use also the data in the Kanta national health and social welfare data repository, the Kanta Services for secondary purposes such as scientific research, innovation and development, education, statistics and information management. …”
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Improving drug repositioning with negative data labeling using large language models by Milan Picard, Mickael Leclercq, Antoine Bodein, Marie Pier Scott-Boyer, Olivier Perin, Arnaud Droit

“…Supervised machine learning is commonly used to score drug candidates but is hindered by the lack of reliable negative data—drugs that fail due to inefficacy or toxicity— which is difficult to access, lowering their prediction accuracy and generalization. …”
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Observations of 1/f Noise at Mercury’s Solar Wind Using MESSENGER Data by Rayta A. Pradata, Sohom Roy, William H. Matthaeus, Jiaming Wang, Rohit Chhiber, Francesco Pecora, Yan Yang

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Detection of Soybean Pod Formation Stage Using Sentinel-1 SAR Data by Sakshi Jain, Unmesh Khati, Vineet Kumar, Rakesh Kumar Verma

“…Soybean pod formation and its variability during the crop cycle has direct impact on the final crop yield. Observation using optical data could not be a better alternative for a crop like soybean, which is grown in summer monsoon in India in the Kharif season (crop grown mid June to end September). …”
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Estimation of the drift velocity of Equatorial Plasma Bubbles using GNSS and digisonde data by Navas-Portella Víctor, Altadill David, Blanch Estefania, Altadill Mar, Segarra Antoni, de Paula Víctor, Timoté Cristhian Camilo, Juan José Miguel

“…., 8, 38–32) for detecting EPBs using data from the Global Navigation Satellite System (GNSS). …”
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Multifractal Analysis of Geological Data Using a Moving Window Dynamical Approach by Gil Silva, Fernando Pellon de Miranda, Mateus Michelon, Ana Ovídio, Felipe Venturelli, Letícia Moraes, João Ferreira, João Parêdes, Alexandre Cury, Flávio Barbosa

“…Fractal dimension has proven to be a valuable tool in the analysis of geological data. …”
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Prediction of the onset of the RSV epidemic with meteorological data using deep neural networks by Kazuo Yonekura, Miya Nishio, Momoko Kashiwado, Takuya Naruto, Masaaki Mori

“…Objective: This study aims to predict the onset of RSV epidemics in Japan using meteorological data, based on the hypothesis that meteorological data affect the spread of RSV. …”
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Impact of COVID-19 on pornography use: Evidence from big data analyses. by Way Kwok-Wai Lau, Lionel Ho-Man Ngan, Randolph Chun-Ho Chan, William Ka-Kei Wu, Benson Wui-Man Lau

“…<h4>Aim</h4>This study used big-data databases available on the Internet to investigate factors that modulated pornography use during the pandemic.…”
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ECDSA-based tamper detection in medical data using a watermarking technique by Rupa Ch, Naga Vivek K, Gautam Srivastava, Reddy Gadekallu

“…Telemedicine is a form of healthcare delivery that employs communication technology to provide medical care to patients remotely. The use of telemedicine has seen a significant increase in recent years, presenting challenges such as patient privacy, data security, the need for reliable communication technology, and the potential for misdiagnosis without a physical examination. …”
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