Data and methods for assessing urban green infrastructure using GIS: A systematic review. by Xiaomian Wu, Jianquan Liu, Yukun Hou

“…This study centers on the scope, data sources, theoretical models, analyses, and objectives of GIS-based UGI assessments. …”
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The iceberg drift study near Severnaya Zemlya in the spring of 2018 by remote sensing data by I. A. Bychkova, V. G. Smirnov

“…As is shown in the article the data of radiometers installed on the Landsat-8 and Sentinel-2 satellites allow monitoring of iceberg drifting in spring period in the above Arctic region. …”
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An algorithm of unordered wavefront propagation in terahertz phase retrieval with dense multiplane data acquisition by E.G. Tsiplakova, A. Chopard, N.S. Balbekin, O.A. Smolyanskaya, J.-B. Perraud, J.-P. Guillet, P. Mounaix, N.V. Petrov

“…It is shown that the package use of the single-scan technique with the subsequent data processing using the R-SBMIR algorithm has application potential for automation of the multi-plane phase retrieval in the THz range.…”
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A causal intervention framework for synthesizing mobility data and evaluating predictive neural networks by Ye Hong, Yanan Xin, Simon Dirmeier, Fernando Perez-Cruz, Martin Raubal

“…The gained insights hold value for the real-world application of mobility prediction networks, and the framework is expected to promote the use of causal inference to enhance the interpretability and robustness of neural networks in mobility applications.…”
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A Comprehensive Methodological Survey of Human Activity Recognition Across Diverse Data Modalities by Jungpil Shin, Najmul Hassan, Abu Saleh Musa Miah, Satoshi Nishimura

“…Human Activity Recognition (HAR) systems aim to understand human behavior and assign a label to each action, attracting significant attention in computer vision due to their wide range of applications. HAR can leverage various data modalities, such as RGB images and video, skeleton, depth, infrared, point cloud, event stream, audio, acceleration, and radar signals. …”
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Evaluation of Traditional and Data-Driven Algorithms for Energy Disaggregation Under Sampling and Filtering Conditions by Carlos Rodriguez-Navarro, Francisco Portillo, Isabel Robalo, Alfredo Alcayde

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Impact of Data Assimilation Frequency and Observation Location in Thermal Effluent Modeling for Coastal Waters by N. Alsulaiman, M. vanReeuwijk, M. D. Piggott

“…Abstract This study investigates the application of data assimilation (DA) using the Ensemble Kalman Filter (EnKF) to address the uncertainties associated with modeling the thermal effluents discharged from power and desalination plants into a shallow, tidal bay. …”
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A secure healthcare data transmission based on synchronization of fractional order chaotic systems by Nur Afiqah Suzelan Amir, Fatin Nabila Abd Latiff, Kok Bin Wong, Wan Ainun Mior Othman

“…The synchronization between the primary system (PS) and the secondary system (SS) is achieved through the application of Lyapunov stability theory. For the encryption and decryption of sensitive healthcare data, the scheme employs the n-shift encryption principle. …”
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A theory and data-driven method for rapid bottom hole pressure calculation in UGS by Yang Li, Haiwei Guo, Xianfeng Gong, Naixin Lu, Kairui Zhang

“…Furthermore, the method provides a valuable reference for the application of deep learning in environments with limited samples.…”
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Adaptive data driven multi period power supply recovery method for distribution networks by Xi Ye, Meng Yang, Zhihong Yang, Qing Xiang, Yazhuo Li

“…Abstract In the process of distribution network fault recovery, in order to better address the issues caused by the uncertainty of new energy power output, this paper proposes a multi period power supply recovery method for distribution networks based on adaptive data driven approach. Firstly, this method uses the historical data of new energy power output to construct an ellipsoidal uncertainty set, and forms a data driven convex hull polyhedral set by connecting the vertices of the high-dimensional ellipsoid. …”
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An improved SMOTE algorithm for enhanced imbalanced data classification by expanding sample generation space by Ying Li, Yali Yang, Peihua Song, Lian Duan, Rui Ren

“…Furthermore, ISMOTE’s parameter adaptability enables its application to multi-class imbalanced datasets.…”
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A Regionalization of Downscaled GCM Data Considering Geographical Features in a Mountainous Area by Soojun Kim, Jaewon Kwak, Hung Soo Kim, Yonsoo Kim, Narae Kang, Seung Jin Hong, Jongso Lee

“…This study establishes a methodology for the application of downscaled GCM data in a mountainous area having large spatial variations of rainfall and attempts to estimate the change of rainfall characteristics in the future under climate change. …”
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A large-scale benchmark for network inference from single-cell perturbation data by Mathieu Chevalley, Yusuf H. Roohani, Arash Mehrjou, Jure Leskovec, Patrick Schwab

“…Moreover, methods that use interventional information do not outperform those that only use observational data, contrary to what is observed on synthetic benchmarks. …”
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Implementation of a Data-Parallel Approach on a Lightweight Hash Function for IoT Devices by Abdullah Sevin

“…The Internet of Things is used in many application areas in our daily lives. Ensuring the security of valuable data transmitted over the Internet is a crucial challenge. …”
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Early-Stage Sensor Data Fusion Pipeline Exploration Framework for Agriculture and Animal Welfare by Devon Martin, David L. Roberts, Alper Bozkurt

“…Internet-of-Things (IoT) approaches are continually introducing new sensors into the fields of agriculture and animal welfare. The application of multi-sensor data fusion to these domains remains a complex and open-ended challenge that defies straightforward optimization, often requiring iterative testing and refinement. …”
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Security Transformation Technology for Electricity Metering Communication Protocol by Hui REN, Huifeng LI, Hui ZHAO, Feng HE, Renhui DOU, Zhiqiang YAO, Guoqing ZHAO

“…Acquisition of electricity energy data is related to the economic interests of all parties, so it is very important to obtain accurate electricity data in time. …”
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Exploring Functional and Emotional Aspects of the Arabic Muslim Adventure Application Based on Don Norman's Hierarchy of Design by Isma Fathanah, Mohamad Zaka Al Farisi, Hikmah Maulani

“…The data analysis process through: data display, data verification, and conclusion drawing. …”
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A method for time difference correction for real-time seismic-while-mining data by Dan JIN

“…Objective Seismic-while-mining (SWM) data are usually acquired using multiple stations, each of which is equipped with multiple data acquisition traces. …”
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Enhancing Dongba Pictograph Recognition Using Convolutional Neural Networks and Data Augmentation Techniques by Shihui Li, Lan Thi Nguyen, Wirapong Chansanam, Natthakan Iam-On, Tossapon Boongoen

“…A CNN model is then trained using a dataset that is split into training (with 70% of all the samples), validation (20%), and test (10%) sets. In particular, data augmentation techniques, including rotation, affine transformation, scaling, and translation, are applied to enhance classification accuracy. …”
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Research on global ship cargo capacity prediction based on multi-source heterogeneous data by Shuhang Chen, Zhihuan Wang, Zhihuan Wang, Tianye Lu, Jiayang Zhu, Chunchang Zhang, Chunchang Zhang, Xiangming Zeng, Xiangming Zeng, Jiayi Wang, Zandi Shang, Zandi Shang

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