Grounded ridge detection and characterization along the Alaska Arctic coastline using ICESat-2 surface height retrievals by K. A. Lange, A. C. Bradley, K. Duncan, S. L. Farrell

“…With further application of the methods demonstrated here, we can begin to map patterns in shorefast ice stability and seasonality and improve our understanding of nearshore ice dynamics across Arctic coastal regions in a changing climate.…”
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A Novel COLREGs-Based Automatic Berthing Scheme for Autonomous Surface Vessels by Shouzheng Yuan, Gongwu Sun, Yunqian He, Yuxin Sun, Simeng Song, Wanyuan Zhang, Huifeng Jiao

“…Firstly, a novel A* algorithm integrated with a quasi-uniform B-spline and quadratic interpolation method (A*QB) is proposed for generating a smooth trajectory from the initial position to the berth, utilizing an offline-generated scaled map. …”
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Pathways to 30 × 30: Evidence-Based Lessons from Global Case Studies in Biodiversity Conservation by Susmita Dasgupta, David Wheeler, Brian Blankespoor

“…This study utilizes newly available species-occurrence maps from the Global Biodiversity Information Facility (GBIF) to identify conservation priorities in 10 countries across Latin America (Brazil, Costa Rica, and Ecuador), Africa (Cameroon, South Africa, and Madagascar), and the Asia–Pacific region (Papua New Guinea, Philippines, India, and China). …”
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Energy Efficient Control by the Group of Oil Pumping Stations Operation by Kaniuk G. I., Mezeria A. Yu., Kniazeva V. N., Fursova T. N., Blyznychenko E. N.

“…The goal set can be reached by the develop-ment of algorithms of the energy efficient control. The most important scientific result based on the identification of the mathematical models of the objects controlled is the efficient algorithm for controlling the group of oil pumping units. …”
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A Macroscopic Exploration of the Ideoscape on Exosomes for Bone Regeneration by Maria Teresa Colangelo, Marco Meleti, Stefano Guizzardi, Carlo Galli

“…To further investigate the ‘ideoscape’, i.e., the conceptual landscape that maps how ideas, methods, and themes are interconnected across the field, we extracted significant concepts from abstracts using GPT 3.5 turbo and created knowledge graphs. …”
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Fusion of multi-scale attention for aerial images small-target detection model based on PARE-YOLO by Huiying Zhang, Pan Xiao, Feifan Yao, Qinghua Zhang, Yifei Gong

“…Abstract In view of the complex environments and varying object scales in drone-captured imagery, a novel PARE-YOLO algorithm based on YOLOv8 for small object detection is proposed. …”
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A global daily mesoscale front dataset from satellite observations: in situ validation and cross-dataset comparison by Q. Xing, H. Yu, W. Yu, W. Yu, W. Yu, W. Yu, X. Chen, X. Chen, X. Chen, X. Chen, H. Wang, H. Wang, H. Wang

“…In addition, in situ observations show a strong spatial resemblance to global frontal frequency, providing independent validation of the satellite-based global frontal occurrence map. These results enhance confidence in the application of satellite-based front detection, and our global front dataset and detection algorithm may be valuable for both regional and global studies in marine ecology, fisheries, ocean dynamics, and climate change.…”
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Transferring Learned ECG Representations for Deep Neural Network Classification of Atrial Fibrillation with Photoplethysmography by Jayroop Ramesh, Zahra Solatidehkordi, Raafat Aburukba, Assim Sagahyroon, Fadi Aloul

“…This results in the <i>student</i> model yielding average improvements in accuracy, sensitivity, F1 score, and Matthews correlation coefficient of 2.0%, 15.05%, 11.7%, and 9.85%, respectively, across both PPG datasets. Additionally, we employ Gradient-weighted Class Activation Mapping (Grad-CAM) to confer a notion of interpretability to the model decisions. …”
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Machine Learning Insights into the Last 400 Years of Etna Lateral Eruptions from Historical Volcanological Data by Arianna Beatrice Malaguti, Claudia Corradino, Alessandro La Spina, Stefano Branca, Ciro Del Negro

“…Furthermore, spatial analysis revealed significant sectoral variations in eruption activity across Etna’s flanks. These findings, derived through unsupervised learning, offer new insights into Etna’s eruptive behavior and contribute to the development of hazard maps that are essential for long-term spatial planning and risk mitigation.…”
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Research on soybean leaf disease recognition in natural environment based on improved Yolov8 by Chen Chen, Chen Chen, Xiaolei Lu, Lei He, Lei He, Ruoxue Xu, Ruoxue Xu, Yi Yang, Yi Yang, Jing Qiu, Jing Qiu

“…Experimental results demonstrate that YOLOv8-DML achieves a mAP50 of 96.9%, marking a 1.8% improvement over the original YOLOv8 algorithm, while also achieving an 18.6% reduction in parameters. …”
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Metallographic Spheroidization Rate Classification by Using Deep Learning by Lin Chiu‐Chin, Pei‐Hsuan Chiang, Ke‐Hao Chen, Yu‐Jen Pan, Chung‐Hsien Chen, Wang Yi‐Shun, Jen‐Chun Lee

“…Experimental results show that the YOLOv8‐DFFN model achieves a mean average precision (mAP) of 98.17% across metallographic datasets of various alloy compositions. …”
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Impacts of farming and herding activities on land use and land cover changes in the north eastern corridor of Ghana: A comprehensive analysis by Nanii Yenibehit, Abubakari Abdulai, Joseph Amikuzuno, James Kofi Blay

“…A supervised machine learning technique using the algorithm of the random forest classifier was employed for the preparation of the classification of thematic maps. …”
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YOLOv9: A High-Performance Deep Learning Approach for Asphalt Pavement Distresses Detection in Roadway Images by Fahrizal, Siti Nurjanah, Yoan Purbolingga, Dila Marta Putri, Asde Rahmawati, Bastul Wajhi Akramunnas, Muhidin Arifin

“…This study proposes employing the deep learning algorithm YOLOv9, the latest You Only Look Once (YOLO) version, for identifying asphalt pavement distresses. …”
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Investigating the Triple Code Model in numerical cognition using stereotactic electroencephalography. by Alexander P Rockhill, Hao Tan, Christian G Lopez Ramos, Caleb Nerison, Beck Shafie, Maryam N Shahin, Adeline Fecker, Mostafa Ismail, Daniel R Cleary, Kelly L Collins, Ahmed M Raslan

“…Across representation formats, the highest classification accuracy was observed in the bilateral parietal lobes. …”
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Machine learning-based assessment of regional-scale variation of landslide susceptibility in central Vietnam. by Raja Das, Pham Van Tien, Karl W Wegmann, Madhumita Chakraborty

“…This research examines the spatio-temporal variations in landslide susceptibility across central Vietnam over several years, using multi-temporal landslide inventories from Typhoon Ketsana (2009), Tropical Storm Podul (2013), and Typhoon Molave (2020). …”
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Explainable AI-Based Ensemble Clustering for Load Profiling and Demand Response by Elissaios Sarmas, Afroditi Fragkiadaki, Vangelis Marinakis

“…To address this shortcoming, we applied an advanced ensemble clustering method and compared its performance with traditional algorithms, namely, K-Means++, fuzzy K-Means, Hierarchical Agglomerative Clustering, Spectral Clustering, Gaussian Mixture Models (GMMs), BIRCH, and Self-Organizing Maps (SOMs), across a dataset of 5567 households for a range of cluster counts from three to nine. …”
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A New Approach for Deep Gray Matter Analysis Using Partial-Volume Estimation. by Guillaume Bonnier, Tobias Kober, Myriam Schluep, Renaud Du Pasquier, Gunnar Krueger, Reto Meuli, Cristina Granziera, Alexis Roche

“…We applied a partial volume estimation algorithm to T1 relaxometry maps to gray and white matter local concentrations as well as T1 values characteristic of gray and white matter in the thalamus and the basal ganglia. …”
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RS-DETR: An Improved Remote Sensing Object Detection Model Based on RT-DETR by Hao Zhang, Zheng Ma, Xiang Li

“…Experimental results on the satellite imagery multi-vehicles dataset (SIMD) and the high-resolution remote sensing object detection (TGRS-HRRSD) dataset show that the improved algorithm achieved mean average precision (mAP) of 78.2% and 91.6% at an intersection over union threshold of 0.5, respectively, which is an improvement of 2.0% and 1.5% over the baseline model. …”
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Degradation Type-Aware Image Restoration for Effective Object Detection in Adverse Weather by Xiaochen Huang, Xiaofeng Wang, Qizhi Teng, Xiaohai He, Honggang Chen

“…Both the DCP and the DDIR can be removed according to requirement in the inference stage to retain the real-time performance of the detection algorithm. Extensive experiments on clear, hazy, rainy, and snowy images demonstrate that our DTRDNet outperforms advanced object detection algorithms, achieving an average mAP of 79.38% across the four weather test sets.…”
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Generation of Spatial Structure of Urban Parks Based on Spatial Analysis of Agent-Based Models by Huizi KONG, Tianming LIU, Jiajie LIAO, Liu CUI

“…ObjectiveThis research aims to leverage the advances of computer algorithms to provide scientific analytical methods for spatial simulation and offer a more objective approach to reflect the natural operational laws of interdependencies between elements in the real physical world for landscape design. …”
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