The biodiversity survey of the Cape (BioSCape), integrating remote sensing with biodiversity science by Anabelle W. Cardoso, Erin L. Hestir, Jasper A. Slingsby, Cherie J. Forbes, Glenn R. Moncrieff, Woody Turner, Andrew L. Skowno, Jacob Nesslage, Philip G. Brodrick, Keith D. Gaddis, Adam M. Wilson

“…The Biodiversity Survey of the Cape (BioSCape) addresses this need by integrating field, airborne, satellite, and modeling datasets to advance the limits of global remote sensing of biodiversity. …”
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Combining market-guided patterns and mamba for stock price prediction by Yanshuo Chang, Wei Lu, Feng Xue, Xinyu Lu

“…The various experimental results show that the proposed method MEM surpasses previous approaches on two publicly available datasets, i.e., CSI300 and CSI800.…”
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Gender Classification Based on Iris Recognition Using Artificial Neural Networks by Basna Mohammed Salih, Adnan Mohsin Abdulazeez, Omer Mohammed Salih Hassan

“…The eye image data were collected from the IIT Delhi IRIS Database. All datasets of images were processed using various image processing techniques using the neural network. …”
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Discovering the Rules of Data Mining Classification using Distributed Memetic Algorithm by Mohammadreza Dehghanimahmoudabadi, Mohammadreza Mollahoseini Ardakani

“…The algorithm is analyzed based on results obtained from five datasets collected from UCI and KEEL repositories. …”
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Uncertainty-based quantization method for stable training of binary neural networks by A.V. Trusov, D.N. Putintsev, E.E. Limonova

“…To evaluate UBQ, we conducted experiments on the MNIST and CIFAR-10 datasets and compared our method to existing algorithms. …”
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Climate and population: risk exposure to precipitation concentration in mainland Spain (1950-2010) by Roberto Serrano Notivoli, María Zúñiga-Antón, Ángel Pueyo, Santiago Beguería, Miguel Ángel Saz, Martín de Luis

“…For that, two complementary high-resolution gridded datasets, one of population potentials and another one of precipitation concentration, are combined. …”
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Covert Network Analysis for Key Player Detection and Event Prediction Using a Hybrid Classifier by Wasi Haider Butt, M. Usman Akram, Shoab A. Khan, Muhammad Younus Javed

“…As a proof of concept, the proposed framework has been implemented and tested using different case studies including two publicly available datasets and one local network.…”
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MCBA-MVACGAN: A Novel Fault Diagnosis Method for Rotating Machinery Under Small Sample Conditions by Wenhan Huang, Xiangfeng Zhang, Hong Jiang, Zhenfa Shao, Yu Bai

“…Experimental results on CWRU and gearbox datasets validate the effectiveness and reliability of the proposed method.…”
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Generative design of crystal structures by point cloud representations and diffusion model by Zhelin Li, Rami Mrad, Runxian Jiao, Guan Huang, Jun Shan, Shibing Chu, Yuanping Chen

“…To gauge the efficacy of our approach, we employed it to reconstruct input structures from our training datasets, rigorously validating its high reconstruction performance. …”
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Representation for Action Recognition Using Trajectory-Based Low-Level Local Feature and Mid-Level Motion Feature by Xiaoqiang Li, Dan Wang, Yin Zhang

“…The experiment results demonstrate the improvements on J-HMDB and YouTube datasets, which obtain 67.4% and 87.6%, respectively.…”
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Prognostic signature based on mitochondria- and angiogenesis-related genes associated with immune microenvironment of multiple myeloma by Dai Zhang, Yu Xing, Lu Liu, Xiaoqing Zhang, Cong Ma, MengYao Xu, Ruiqi Li, HanJing Wei, Yan Zhao, Bingxin Xu, Shuhao Mei

“…Introduction: Mitochondria and angiogenesis play key roles in multiple myeloma (MM) development, but their interrelated genes affecting MM prognosis are under-studied.Methods: We analyzed TCGA_MMRF and GSE4581 datasets to identify four genes – CCNB1, CDC25C, HSP90AA1, and PARP1 – that significantly correlate with MM prognosis, with high expression indicating poor outcomes.Results: A prognostic signature based on these genes stratified patients into high- and low-risk groups, with the latter showing better survival. …”
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Intelligent Sensor Software for Robust and Energy-Sustainable Decision-Making in Welding of Steel Reinforcement for Concrete by Javier Ferreiro-Cabello, Francisco Javier Martinez-de-Pison, Esteban Fraile-Garcia, Alpha Pernia-Espinoza, Jose Divasón

“…By creating robust machine learning models trained on limited datasets, the system generates interactive heat maps that provide real-time guidance to production engineers or intelligent systems, enabling dynamic adaptation to changing conditions and external factors such as fluctuating energy costs. …”
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Two-Level Semantic-Driven Diffusion Based Hyperspectral Pansharpening by Lin He, Wenrui Liang, Antonio Plaza

“…Experiments on multiple datasets verify the effectiveness of our method.…”
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Decomposition-Aware Framework for Probabilistic and Flexible Time Series Forecasting in Aerospace Electronic Systems by Yuanhong Mao, Xin Hu, Yulang Xu, Yilin Zhang, Yunan Li, Zixiang Lu, Qiguang Miao

“…The experimental results on multiple real-world datasets validate the framework’s effectiveness, demonstrating its robustness and adaptability in handling diverse sequences across various application scenarios.…”
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The high-resolution map of Oxia Planum, Mars; the landing site of the ExoMars Rosalind Franklin rover mission by Peter Fawdon, Csilla Orgel, Solmaz Adeli, Matt Balme, Fred J. Calef, Joel M. Davis, Alessandro Frigeri, Peter Grindrod, Ernst Hauber, Laetitia Le Deit, Damien Loizeau, Andrea Nass, Cathy Quantin-Nataf, Elliot Sefton-Nash, Nick Thomas, Ines Torres, Jorge L. Vago, Matthieu Volat, Sander De Witte, Francesca Altieri, Andrea Apuzzo, Julene Aramendia, Gorka Arana, Rickbir Singh Bahia, Steven G. Banham, Robert Barnes, Alexander M. Barrett, Wolf-Stefan Benedix, Anshuman Bhardwaj, Sarah Jane Boazman, Tomaso R. R. Bontognali, John Bridges, Benjamin Bultel, Valérie Ciarletti, Maria Cristina De Sanctis, Zach Dickeson, Elena A. Favaro, Marco Ferrari, Frédéric Foucher, Walter Goetz, Albert F. C. Haldemann, Elise Harrington, Angeliki Kapatza, Detlef Koschny, Agata M. Krzesinska, Alice Le Gall, Stephen R. Lewis, Tanya Lim, Juan Manuel Madariaga, Benjamin James Man, Lucia Mandon, Nicolas Mangold, Javier Martin-Torres, Joseph D. McNeil, Antonio Molina, Andoni G. Moral, Sara Motaghian, Sergei Nikiforov, Nicolas Oudart, Andrea Pacifici, Adam Parkes Bowen, Dirk Plettemeier, Pantelis Poulakis, Alfiah Rizky Diana Putri, Ottaviano Ruesch, Lydia Sam, Christian Schröder, Christoph Statz, Rebecca Thomas, Daniela Tirsch, Zsuzsanna Toth, Stuart Turner, Martin Voelker, Stephanie C. Werner, Frances Westall, Barry J. Whiteside, Adam Williams, Rebecca M. E. Williams, Jack Wright, Maria-Paz Zorzano

“…The bedrock units were identified using visible and near-infrared remote sensing datasets. The objectives of this map are (i) to identify where the most astrobiologically relevant rocks are likely to be found, (ii) to show where hypotheses about their geological context (within Oxia Planum and in the wider geological history of Mars) can be tested, (iii) to inform both the long-term (hundreds of metres to ∼1 km) and the short-term (tens of metres) activity planning for rover exploration, and (iv) to allow the samples analysed by the rover to be interpreted within their regional geological context.…”
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Study on Long-Term Temperature Variation Characteristics of Concrete Bridge Tower Cracks Based on Deep Learning by Zhaoxu Lv, Youliang Ding, Yan Zhang

“…The efficacy of the LSTM network will be rigorously evaluated, employing multiple temperature input datasets to account for spatial dimensional variations in the data. …”
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Tissue classification and diagnosis of colorectal cancer histopathology images using deep learning algorithms. Is the time ripe for clinical practice implementation? by David Dimitris Chlorogiannis, Georgios-Ioannis Verras, Vasiliki Tzelepi, Anargyros Chlorogiannis, Anastasios Apostolos, Konstantinos Kotis, Christos-Nikolaos Anagnostopoulos, Andreas Antzoulas, Michail Vailas, Dimitrios Schizas, Francesk Mulita

“…However, due to their inherent uniqueness in their training and lack of widely accepted external validation datasets, their generalization potential is still limited.…”
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Combining GIS and machine learning for enhanced tsunami risk management: A review of current approaches and unexplored future potential by Tahri Ayoub, Beroho Mohamed, Tichli Soufiane, El Talibi Hajar, El Moussaoui Said, Aboumaria Khadija

“…In addition, suggestions are made for how future steeps as the integration of machine learning techniques as emerging tools for analyzing and classifying complex and vast datasets, which may enhance GIS applications in tsunami risk management to improve the accuracy and utility of these tools.…”
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Refined matrix completion for spectrum estimation of heart rate variability by Lei Lu, Tingting Zhu, Ying Tan, Jiandong Zhou, Jenny Yang, Lei Clifton, Yuan-Ting Zhang, David A. Clifton

“…Benchmarking on five public datasets, our model shows effectiveness and reliability in estimating uncertainties in HRV spectrum, and has superior performance against five deep learning models. …”
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Automatic Extraction of Rock Discontinuities from the Point Cloud Using Dynamic DBSCAN Algorithm by Ming Tang, Song Yang, Guohua Huang, Xiongyao Xie, Jiafu Guo, Junli Zhai

“…The application on the two datasets showed great adaptability and accuracy. Consequently, the method could meet realistic engineering needs.…”
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