MFMamba: A Mamba-Based Multi-Modal Fusion Network for Semantic Segmentation of Remote Sensing Images by Yan Wang, Li Cao, He Deng

“…Semantic segmentation of remote sensing images is a fundamental task in computer vision, holding substantial relevance in applications such as land cover surveys, environmental protection, and urban building planning. …”
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SLA-MLP: Enhancing Sleep Stage Analysis from EEG Signals Using Multilayer Perceptron Networks by Farah Mohammad, Khulood Mohammed Al Mansoor

“…The key steps of this approach include data collection, where diverse and high-quality EEG data are gathered; preprocessing, which involves signal cropping, spectrogram conversion, and normalization to prepare the data for analysis; data balancing, where class weights are adjusted to address any imbalances in the dataset; feature extraction, utilizing Temporal Convolutional Networks (TCNs) to extract meaningful features from the EEG signals; and final classification, applying a Multilayer Perceptron (MLP) to accurately predict sleep stages. …”
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SPL-PlaneTR: Lightweight and Generalizable Indoor Plane Segmentation Based on Prompt Learning by Zhongchen Deng, Yuanlong Ge, Xiatian Qi, Kai Sun, Ruixi Wan, Bingxu Zhang, Shenman Zhang, Xun Zhang, Yan Meng

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A Transformer–VAE Approach for Detecting Ship Trajectory Anomalies in Cross-Sea Bridge Areas by Jiawei Hou, Hongzhu Zhou, Manel Grifoll, Yusheng Zhou, Jiao Liu, Yun Ye, Pengjun Zheng

“…Most existing anomaly detection methods heavily rely on labeled or semi-supervised data, thus limiting their applicability in scenarios involving completely unlabeled ship trajectory data. …”
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High-Resolution Yield Mapping for <i>Eucalyptus grandis</i>—A Case Study by Rafael Donizetti Dias, José Paulo Molin, Marcelo Chan Fu Wei, Clayton Alcarde Alvares

“…The objectives of this study were to present a method for generating high-resolution <i>Eucalyptus grandis</i> yield data (individual tree-level) and explore their applications, such as correlation analysis with soil attributes to aid nutrient recommendations. …”
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An incremental high impedance fault detection method under non-stationary environments in distribution networks by Mou-Fa Guo, Meitao Yao, Jian-Hong Gao, Wen-Li Liu, Shuyue Lin

“…Additionally, signal features are analyzed using density-based spatial clustering of applications with noise (DBSCAN) to monitor the distribution of data. …”
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Spatial assessment of current and future migration in response to climate risks in Ghana and Nigeria by Alina Schürmann, Mike Teucher, Janina Kleemann, Justice Nana Inkoom, Benjamin Kofi Nyarko, Appollonia Aimiosino Okhimamhe, Christopher Conrad

“…By integrating geospatial environmental, socio-economic, and population data, the study highlights areas that have a higher likelihood of migration for the current baseline and near future (2050). …”
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COMPUTERIZED OPTICAL EXPERIMENTS WITH PORTABLE SPECTROMETERS AND AMAZON WEB SERVICES CLOUD INTEGRATION by Andriy Krupych, Ivan Karbovnyk

“…It reduces equipment maintenance costs and increases accessibility to experimental data. The scalable solution can be adapted to various scientific applications requiring remote equipment access and continuous data collection.…”
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Semantic web ontology for structured knowledge representation and clinical decision support in eye diseases by Fatima Anjum, Fahad Maqbool, Muhammad Saad Razzaq, Hafiz Muhammad Faisal Shehzad, Shujaat Ali, Dilawar Shah, Muhammad Tahir, Muhammad Ilyas

“…We have developed an ontology, that is, Eye Disease Ontology (EDO), for the most common eye diseases as a resource that helps in data extraction and analysis for the general public and medical professionals. …”
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Using unmanned aerial vehicles to estimate body volume at scale for ecological monitoring by Thomas C. Stone, Katrina J. Davis

“…Abstract Demographic data are essential to construct mechanistic models to understand how populations change over time and in response to global threats like climate change. …”
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Comparative effectiveness of disease-modifying therapies for highly active relapsing-remitting multiple sclerosis despite previous treatment – a systematic review and network meta-... by Michael Köhler, Friedemann Paul, Kirsten Janke, Sibylle Sturtz, Daniela Preukschat, Sabine Ostlender, Michaela Florina Kerekes, Thomas Kaiser

“…Trial registration Clinical trial number: not applicable.…”
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Triple pillars of sustainable finance: The role of green finance, CSR, and digitalization on bank performance in Bangladesh by Shaikh Masrick Hasan, K. M. Anwarul Islam, Tawfiq Taleb Tawfiq, Priya Saha

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Diff-Tree: A Diffusion Model for Diversified Tree Point Cloud Generation with High Realism by Haifeng Xu, Yongjian Huai, Xiaoying Nie, Qingkuo Meng, Xun Zhao, Xuanda Pei, Hao Lu

“…Current virtual tree modeling primarily relies on 3D point cloud reconstruction from field survey data, and this approach faces significant challenges in scalability and structural diversity representation, limiting its broader applications in ecological modeling of forests. …”
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An Effective Quantification of Methane Point-Source Emissions with the Multi-Level Matched Filter from Hyperspectral Imagery by Menglei Liang, Ying Zhang, Liangfu Chen, Jinhua Tao, Meng Fan, Chao Yu

“…The traditional matched filter (MF) algorithm, commonly used to derive methane enhancement from hyperspectral satellite data, is limited by its tendency to underestimate methane plumes, especially at higher concentrations. …”
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Using Sensor Errors to Define Autonomous System Situational Awareness by Donald H. Costello, Paola Jaramillo Cienfuegos, Huan Xu

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CHANGES IN THE TRENDS IN THE USE OF INFORMATION AND COMMUNICATION TOOLS FOR FUTURE PROFESSIONAL AND TECHNOLOGICAL EDUCATION SPECIALISTS by Юрій Туранов, Володимир Рак, Ірина Луцик, Юрій Франко

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Automated noise modelling using a triangulated terrain model by Nadine Hobeika, Laurens van Rijssel, Maarit Prusti, Constantijn Dinklo, Denis Giannelli, Balázs Dukai, Arnaud Kok, Rob van Loon, René Nota, Jantien Stoter

“…Since CNOSSOS-EU guidelines were used, the prototype is applicable to the entire European Union and can be the first step in improving the automation of 3D noise modeling using currently available techniques and data.…”
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A practical guide to optimizing industrial thermal spraying through comparative multi-objective optimization by Wolfgang Rannetbauer, Simon Hubmer, Carina Hambrock, Ronny Ramlau

“…These competing objectives lead to multi-objective optimization problems, where algorithms are employed to identify Pareto-optimal solutions—compromise points which provide decision-makers with feasible parameter settings. The successful application of such optimization algorithms relies on the ability to model the underlying physical system, which is typically complex, through either physical or data-driven approaches, and to represent it mathematically. …”
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Implementation of it in the public sector by local authorities: Benefits and challenges by Đorđević Snežana

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The factors affecting tourism mobile apps usage by Ferhat Seker, Gökhan Kadirhan, Ahmet Erdem

“…Given the growing value and market potential of mobile applications, this research provides crucial empirical evidence for application developers and tourism researchers about the use of mobile applications for the tourism industry.…”
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