High-accuracy shallow-water bathymetric method including reliability evaluation based on Sentinel-2 time-series images and ICESat-2 data by Yuan Le, Xiaoyu Sun, Yifu Chen, Yifu Chen, Dongfang Zhang, Lin Wu, Lin Wu, Hai Liu, Mengzhi Hu

“…By using Sentinel-2 time series imagery combined with ICESat-2 data, four bathymetry results at different time points are produced based on four traditional bathymetry methods. …”
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Taylor-Spotted Cat Optimization (Taylor-SCO): An Energy-Efficient Cluster Head Selection Algorithm with Improved Trust Factor for Data Routing in WSN by Shivaraj Kalburgi, M. Manimozhi

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Automated detection of submarine pipelines in the Yellow River Estuary: a deep learning approach for side-scan sonar data in dynamic deltaic systems by Min Wei, Min Wei, Yongqing Yu, Xing Du, Yupeng Song, Lifeng Dong, Qikun Zhou, Linfeng Wang, Longying Zhang, Yamei Wang

“…Conversely, VGG-16 shows comparatively weaker performance, making it less suitable for SSS image analysis. Notably, data expansion significantly influences model accuracy, although its impact varies across different models. …”
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Combined Use of GF-3 and Landsat-8 Satellite Data for Soil Moisture Retrieval over Agricultural Areas Using Artificial Neural Network by Qingyan Meng, Linlin Zhang, Qiuxia Xie, Shun Yao, Xu Chen, Ying Zhang

“…Gaofen-3 (GF-3) is the first C-band synthetic-aperture radar (SAR) satellite of China, offering broad land and ocean imaging applications, including soil moisture monitoring. This study developed an approach to estimate soil moisture in agricultural areas from GF-3 data. …”
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A Playful Participatory Planning System (P-PPS): A Framework for Collecting and Analyzing Player-Generated Spatial Data from Minecraft Worlds by Ítalo Sousa de Sena, Lasith Niroshan, Jonáš Rosecký, Vojtěch Brůža, Micheál Butler, Chiara Cocco

“…Among these, Minecraft has been widely utilized to engage children, leveraging its virtual environment to represent geospatial data. However, systematic methods for collecting and analyzing player-generated data within Minecraft remain underexplored. …”
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Comorbidity and health-related quality of life in people with a chronic medical condition in randomised clinical trials: An individual participant data meta-analysis. by Elaine W Butterly, Peter Hanlon, Anoop S V Shah, Laurie J Hannigan, Emma McIntosh, Jim Lewsey, Sarah H Wild, Bruce Guthrie, Frances S Mair, David M Kent, Sofia Dias, Nicky J Welton, David A McAllister

“…Using trials where individual participant data (IPD) was available from 2 repositories, a comorbidity count was calculated from medical history and/or prescriptions data. …”
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Dynamic Origin-Destination Matrix Estimation Based on Urban Rail Transit AFC Data: Deep Optimization Framework with Forward Passing and Backpropagation Techniques by Yuedi Yang, Jun Liu, Pan Shang, Xinyue Xu, Xuchao Chen

“…This study can provide a rich set of passenger demand for advanced transit planning and management applications, for instance, passenger flow control, adaptive travel demand management, and real-time train scheduling.…”
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DETERMINATION OF KINETIC ASYMMETRIES IN SOCCER PLAYERS PERFORMING VERTICAL JUMP: PROPOSAL OF A NOVEL PROCEDURE TO DETERMINE IMPULSE FROM FORCE PLATE DATA by Fabíola Bertú Medeiros, Hans-Joachim Menzel, Mauro Heleno Chagas, Gustavo Henrique da Cunha Peixoto Cançado, Silvia Ribeiro Santos Araújo, Fernando Vitor Lima, André Gustavo Pereira de Andrade

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Determination of kinetic asymmetries in soccer players performing vertical jump: proposal of a novel procedure to determine impulse from force plate data by Fabiola Bertú Medeiros, Hans Joachim Menzel, Mauro Heleno Chagas, Gustavo Henrique da cunha Peixoto Cançado, Sílvia Ribeiro Santos Araújo, Fernando Vitor Lima, André Gustavo Pereira de Andrade

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Adaptive Neural Network-Based Resilient Output Feedback Control of Cyber-Physical Systems Under Multi-Channel Stochastic False Data Injection by Muhammad Mamoon, Muhammad Rehan, Ghulam Mustafa, Naeem Iqbal, Ijaz Ahmed, Muhammad Khalid

“…We have examined the impact of multi-channel stochastic false data injection (FDI) attacks on the network, specifically targeting the system’s output and the controller’s connection to the actuator channel. …”
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Quantifying Improvements in Derived Storm Events from Version 07 of GPM IMERG Early, Late, and Final Data Products over North Carolina by Elizabeth Bartuska, R. Edward Beighley, Kelsey J. Pieper, C. Nathan Jones

“…These findings demonstrate the potential of the IMERG v07 Early and Late data products for the creation of accurate and timely flood models in emergency response applications.…”
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Spatially Constrained 1D Inversions of Common-Midpoint Marine Controlled-Source Electromagnetic Data to Create a 3D Electrical Model by Jorlivan Lopes Correa, Cícero Régis

“…Additionally, we evaluate the inversion result constrained by hard information, for example, well log resistivity data. Two applications to synthetic data and the inversion of a real data set illustrate the method. …”
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Convolutional Neural Networks—Long Short-Term Memory—Attention: A Novel Model for Wear State Prediction Based on Oil Monitoring Data by Ying Du, Hui Wei, Tao Shao, Shishuai Chen, Jianlei Wang, Chunguo Zhou, Yanchao Zhang

“…However, the complexity of lubricating oil monitoring data often poses challenges in extracting discriminative features, limiting the accuracy of wear state prediction. …”
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HCMMA-Net: A Hybrid Convolutional Multi-Modal Attention Network for Human Activity Recognition in Smart Homes Using Wearable Sensor Data by Nazish Ashfaq, Zeeshan Aziz, Muhammad Hassan Khan, Muhammad Adeel Nisar, Adnan Khalid

“…Human activity recognition (HAR) plays a pivotal role in applications such as healthcare monitoring, fitness tracking, and smart homes. …”
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Early-Stage Non-Severe Depression Detection Using a Novel Convolutional Neural Network Approach Based on Resting-State EEG Data by Pascal Penava, Ricardo Buettner

“…In this work, we developed a deep learning based model using a 1D convolutional neural network to detect mild depression in resting-state electroencephalogram data. We evaluated the model using a realistic world-like dataset and were able to achieve a balanced accuracy of 69.21%. …”
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Locally rendered high-resolution Land Use/Land Cover Bitmaps from OpenStreetMap Data for geospecific 3D Simulation by D. Frommholz

“…This paper describes a method for creating land use/land cover (LULC) bitmaps from OpenStreetMap data for virtually any part of the world at any resolution on a standard personal computer. …”
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An efficient medical data encryption scheme using selective shuffling and inter-intra pixel diffusion IoT-enabled secure E-healthcare framework by Dhivya Ravichandran, W. Sylvia Lilly Jebarani, Hemalatha Mahalingam, Padmapriya Velupillai Meikandan, Padmapriya Pravinkumar, Rengarajan Amirtharajan

“…Abstract Security in e-healthcare applications such as Telemedicine is crucial in safeguarding patients’ sensitive data during transmission. …”
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Design Considerations for 1.6 Tbit/s Data Center Interconnects: Evaluating IM/DD and Coherent Transmission over O-Band Transmission Window by Adrian A. Juarez, Yanjun Zhu, Xin Chen, Ming-Jun Li

“…Yet, reducing coherent transmission complexity is desirable for cost-effective and power-efficient data center applications. By exploring dual wavelength transmission and DP-16 QAM transceivers, akin to IM/DD counterparts, the feasibility of streamlining this architecture is also studied. …”
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Validation of multiple myeloma risk stratification indices in routine clinical practice: Analysis of data from the Czech Myeloma Group Registry of Monoclonal Gammopathies by Jakub Radocha, Vladimír Maisnar, Luděk Pour, Ivan Špička, Jiři Minařík, Lenka Szeligová, Petr Pavlíček, Alexandra Jungová, Marta Krejčí, Tomáš Pika, Jan Straub, Lucie Brožová, Lukáš Stejskal, Adriana Heindorfer, Pavel Jindra, Petr Kessler, Peter Mikula, Michal Sýkora, Marek Wróbel, Jiří Jarkovský, Roman Hájek

“…Abstract This study used data from the Czech Myeloma Group Registry of Monoclonal Gammopathies to validate the International Myeloma Working Group (IMWG) and revised International Staging System (R‐ISS) indices for risk stratification in patients with multiple myeloma (MM) in clinical practice. …”
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Secret Elliptic Curve-Based Bidirectional Gated Unit Assisted Residual Network for Enabling Secure IoT Data Transmission and Classification Using Blockchain by Mahaboob Basha Shaik, Yamarthi Narasimha Rao

“…Also, the transmitted data are prone to various types of attacks. Therefore, there is a need for secure data transmission and different types of attack has to be classified. …”
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