Multimodal Fusion Mamba Network for Joint Land Cover Classification Using Hyperspectral and LiDAR Data by Haizhu Pan, Ruixiang Zhao, Haimiao Ge, Moqi Liu, Quanxiu Zhang

“…With the rapid advancement of deep learning technologies, the use of computers for processing and analyzing multimodal remote sensing data has attracted significant attention. …”
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Assessing the healthiness of UK food companies' product portfolios using food sales and nutrient composition data. by Lauren Kate Bandy, Sven Hollowell, Richard Harrington, Peter Scarborough, Susan Jebb, Mike Rayner

“…In the UK, policies seek to drive improvement through voluntary reformulation of single nutrients in key food groups. There has been little consideration of the overall progress by individual companies. …”
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Interpretable Machine Learning for Thermospheric Mass Density Modeling Using GRACE/GRACE‐FO Satellite Data by Qian Pan, Chao Xiong, ShunZu Gao, Zhou Chen, Artem Smirnov, Chunyu Xu, Yuyang Huang

“…And the interpretability analysis of the input parameters using the Shapley additive explanation algorithm has been applied, revealing that the altitude, solar activity index P10.7 and solar zenith angle are the three most influential parameters affecting TMD variations at GRACE satellite. …”
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The Italian perspective on the use of Big Data in Sociological Field: Implications, Empirical Findings and an Impact Analysis on the Discipline by Michela Cavagnuolo

“…An analysis of the changes and impact of the use of Big Data within the social sciences and how they modify the work of the social scientist therefore becomes necessary. …”
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Multimodal Ensemble Fusion Deep Learning Using Histopathological Images and Clinical Data for Glioma Subtype Classification by Satoshi Shirae, Shyam Sundar Debsarkar, Hiroharu Kawanaka, Bruce Aronow, V. B. Surya Prasath

“…On the other hand, due to the disease complexities of Glioma patients, multimodal analysis using various types of data rather than a single data set has been attracting attention. …”
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A Method to Evaluate APF for Room Air Conditioner with on/off Compressor by Using Rated Performance Data by Wu Guoming, Ren Tao, Ding Guoliang, Cheng Jianhong

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Reducing Bias in Beta Regression Models Using Jackknifed Liu-Type Estimators: Applications to Chemical Data by Solmaz Seifollahi, Hossein Bevrani, Olayan Albalawi

“…To address this issue, the Liu-type estimator has been used as an alternative to the maximum likelihood estimator, but it suffers from bias. …”
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The relationship between corruption and inequality in Colombia: empirical evidence using panel data for the period 2008-2017 by Sáenz-Castro, J. E., García-González, J. D.

“…In this paper, we use annual data from 2008 to 2017 for 24 departments of Colombia, including Bogota DC, to study the relationships between Corruption and inequality. …”
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Alteration Information Extraction and Mineral Prospectivity Mapping in the Laozhaiwan Area Using Multisource Remote Sensing Data by Qi Chen, Dayu Cai, Zhifang Zhao, Xiaoguang Yang, Yilong Wang, Xiao Jiang, Lei Xu, Haichuan Duan, Yang He, Xiaoxiao Zhang, Yiyang Wang, Ting Xu

“…Linear and ring structures were extracted using the remote sensing visual interpretation method based on Sentinel-2A multispectral data. …”
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Participant Adherence in Repeated-Dose Clinical Studies Using Video-Based Observation: Retrospective Data Analysis by Seunghoon Han, Jihong Song, Sungpil Han, Suein Choi, Jonghyuk Lim, Byeong Yeob Oh, Dongoh Shin

“…MethodsA retrospective analysis was conducted using data from 17,619 SAI events in repeated-dose clinical trials using the VSMS between February 2020 and March 2023. …”
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DWE: Research on Water Quality Inversion and Scalability in Small Watersheds Using UAV Remote Sensing Data by Hao Li, Zhijun Xie, Xing Jin, Changchun Peng, Cheng Ren, Yunfei Mao, Kefan Zhou, Yingying Li

“…Remote sensing water quality inversion model based on spectral features has been widely used in water quality monitoring. …”
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Data analysis of the structure and use of library collections available in public libraries in Ljubljana between 1990 – 2000 by Mateja Ločniškar-Fidler

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Retracted: Track and field competition data collection using a vision sensor system and machine learning by Yan Meng, Yunming Wu

“…Abstract Retraction: [Yan Meng, Yunming Wu, Track and field competition data collection using a vision sensor system and machine learning, IET Software 2023 (https://doi.org/10.1049/sfw2.12086)]. …”
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Accurate Estimation of Plant Water Content in Cotton Using UAV Multi-Source and Multi-Stage Data by Shuyuan Zhang, Haitao Jing, Jihua Dong, Yue Su, Zhengdong Hu, Longlong Bao, Shiyu Fan, Guldana Sarsen, Tao Lin, Xiuliang Jin

“…Although the development of unmanned aerial vehicle (UAV) technology has provided a new opportunity for large-scale CWC measurements, there remains a gap in the study of CWC estimation in cotton using multi-source and multi-stage data. …”
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The vertical structure of the eastern Pacific ITCZs and associated circulation using the TRMM Precipitation Radar and in situ data by L. Huaman, K. Takahashi

“…Reanalysis and satellite‐based data are shown to be unreliable for describing the vertical structure of the circulation.…”
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Measuring the Change by Using Markov Chain Approach in Time-Dependent Transitions and a Real Data Application by Nihan Potas, Cemal Atakan

“…Contingency tables were used tomeasure the time-dependent change of categorical data. …”
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Prediction the Level of the Electromagnetic Background Created by Constellations of Satellites Near the Earth’s Surface Using Registration Data by V. I. Mordachev, A. S. Svistunou, D. A. Tsyanenka

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Rainfall data modeling using improved adaptive type-II progressively censored Weibull-exponential samples by Refah Alotaibi, Mazen Nassar, Ahmed Elshahhat

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A Novel Data-Driven Fault Diagnosis Algorithm Using Multivariate Dynamic Time Warping Measure by Jiangyuan Mei, Jian Hou, Hamid Reza Karimi, Jiarao Huang

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Classifying Dry Eye Disease Patients from Healthy Controls Using Machine Learning and Metabolomics Data by Sajad Amouei Sheshkal, Morten Gundersen, Michael Alexander Riegler, Øygunn Aass Utheim, Kjell Gunnar Gundersen, Helge Rootwelt, Katja Benedikte Prestø Elgstøen, Hugo Lewi Hammer

“…In this study, we explored the use of machine learning and metabolomics data to identify cataract patients who suffer from dry eye disease, a topic that, to our knowledge, has not been previously explored. …”
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