Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

“…The novelty of this approach is explained by the need to close a technical gap between the traditional GIS and scripting mapping, which is wider for big data mapping and where the crucial factors are speed and precision of data handling, as well as effective visualization achieved by the machine graphics. The paper analyzes the underlying geologic processes affecting the formation of geomorphological landforms in Jordan with a 3D visualization of the selected fragment of the Dead Sea Fault zone. …”
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Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

“…The novelty of this approach is explained by the need to close a technical gap between the traditional GIS and scripting mapping, which is wider for big data mapping and where the crucial factors are speed and precision of data handling, as well as effective visualization achieved by the machine graphics. The paper analyzes the underlying geologic processes affecting the formation of geomorphological landforms in Jordan with a 3D visualization of the selected fragment of the Dead Sea Fault zone. …”
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The Design and Optimization of Additively Manufactured Windings Utilizing Data Driven Algorithms for Minimal Loss in Electric Machines by John McKay, Jill Miscandlon, Tatyana Konkova

“…Additive manufacturing is generally recognised as a transformative manufacturing technology, especially in the design of electric machines. The ability to create a wide array of geometric shapes offers a level of design freedom that was previously unattainable. …”
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Machine learning models for the prediction of preclinical coal workers’ pneumoconiosis: integrating CT radiomics and occupational health surveillance records by Yankun Ma, Fengtao Cui, Yulong Yao, Fuhai Shen, Hongyi Qin, Bing Li, Yan Wang

“…First, the YOLOX was employed for automated 3D lung extraction to extract radiomics features. …”
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Automated process planning system considering machining feature recognition suitable for end-milling using CAD models in STL format by Takayuki HIRAYAMA, Hidenori NAKATSUJI, Isamu NISHIDA

“…The previous study proposed a method to extract the machining region and obtain geometrical features such as boss or pocket shapes from only a 3D CAD model in STL format. …”
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Diagnosis and Classification of Two Common Potato Leaf Diseases (Early Blight and Late Blight) Using Image Processing and Machine Learning by H. Koroshi Talab, D. Mohammad Zamani, M. Gholami Parashkoohi

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Non-destructive Weight Prediction Model of Spherical Fruits and Vegetables using U-Net Image Segmentation and Machine Learning Methods by Halil Kayra, Savaş Koç

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Integrating environmental and LULC drivers of groundwater droughts in groundwater-dependent ecosystems: a machine learning (XGBoost)-SEM analysis with ecosystem implications by Kawawa Banda, Christopher Shilengwe, Imasiku Nyambe

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Aerial Track‐Guided Autonomous Soft Ring Robot by Fangjie Qi, Caizhi Zhou, Haitao Qing, Haoze Sun, Jie Yin

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A Markerless Approach for Full-Body Biomechanics of Horses by Sarah K. Shaffer, Omar Medjaouri, Brian Swenson, Travis Eliason, Daniel P. Nicolella

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High-temperature protection, structure optimization, and damage detection for missile-borne electronic devices by Bixiao Li, Ruichan Lv

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Analysis of Strata Deformation Patterns Induced by Vertical Shaft Sinking Machine Based on Soil Deformation Zoning: A Case Study of the Zhuyuan Bailonggang Sewage Connecting Pipe P... by Ping Lu, Fang Chen, Dongqing Nie, Jiangang Han

“…Field measurements with the Plaxis^3D 24.1 software were performed on the 17# shaft of the Shanghai Zhuyuan Bailonggang sewage connecting the pipe project to analyze the ground deformation patterns during VSM (vertical shaft sinking machine) construction in soft soil areas. …”
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TBFH: A Total-Building-Focused Hybrid Dataset for Remote Sensing Image Building Detection by Lin Yi, Feng Wang, Guangyao Zhou, Niangang Jiao, Minglin He, Jingxing Zhu, Hongjian You

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Inversion Methods of Soil Hydraulic Parameters Based on Hyperspectral Characteristics by WU Yanmei, ZHU Han, LI Ji, LI Zixin, HE Jianliang, LIN Kairong, ZHUANG Luwen, DONG Chunyu

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A Coupling Method for the Stability of Reflectors and Support Structure in an ALB Optical-Mechanical System by Guoqing Zhou, Jianyin Liu, Ke Gao, Rundong Liu, Yi Tang, Angte Cai, Xiang Zhou, Jiasheng Xu, Xiaolan Xie

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Clouds Detection in Polar Icy Terrains: A Deformable Attention-Based Deep Neural Network for Multispectral Polar Scene Parsing by Shaojin Dong, Cailan Gong, Yong Hu, Long Cheng, Yang Wang, Fuqiang Zheng

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Bayesian-optimized stacking ensemble with multimodal feature selection for tobacco leaf maturity classification by Yunpeng Lu, Yang Wu, Lu Zhang, Jinguo Huang, Guangwei Sun, Jing Liu

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Knowledge, interest and perspectives on Artificial Intelligence in Neurosurgery. A global survey by A. Boaro, E. Mezzalira, F. Siddi, C. Bagattini, N. Gabrovsky, N. Marchesini, M. Broekman, F. Sala, N. Gabrovsky, Marcel Ivanov, Florian Ringel, Enrico Tessitore, Nicolas Sampron, Alessandro Boaro, Victor E. Staartjes

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A generative modeling approach to reconstructing 21 cm tomographic data by Nashwan Sabti, Ram Purandhar Reddy Sudha, Julian B Muñoz, Siddharth Mishra-Sharma, Taewook Youn

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AI Thinking: a framework for rethinking artificial intelligence in practice by Denis Newman-Griffis

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