Unmet needs in abnormal uterine bleeding due to ovulatory dysfunction by Tommaso Simoncini, Hisham Arab, Nataliia Pedachenko, Qinjie Tian, Fernando Pineda, Balamba Puranam, Rubina Sohail, Maria Celeste Osorio Wender

“…The panel discussed how the complexity and variety of patient groups made the development of one single disease management algorithm unlikely; however, a simplified, decision-point hierarchy could potentially help direct therapeutic choices. …”
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Construction of a Real-Time Detection for Floating Plastics in a Stream Using Video Cameras and Deep Learning by Hankyu Lee, Seohyun Byeon, Jin Hwi Kim, Jae-Ki Shin, Yongeun Park

“…This study aims to develop a real-time visual recognition model for floating plastic debris detection using deep learning with multi-class classification. …”
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The nutriRECIPE-Index – development and validation of a nutrient-weighted index for the evaluation of recipes by Frank Forner, Ina Volkhardt, Toni Meier, Olaf Christen, Gabriele I. Stangl

“…Methods A whole meal cycle (comprising 6 weeks, 106 recipes and including different menu lines, partially with different side dishes) at a university canteen was analysed with the Federal Food Code (BLS) and the nutriRECIPE-Index. …”
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Enhancing Yield Estimation and Field Zoning Accuracy in Precision Agriculture Using Solar-Powered Drone-Based Remote Sensing by Abbas Haider Mohammed, Obaid Mohammed Kadhim, Vittalaiah A.

“…The integration of solar power extends the drone's operational time, making it a sustainable solution for large-scale data collection. …”
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A Velocity Dealiasing Scheme Based on Minimization of Velocity Differences between Regions by Yue Yuan, Ping Wang, Di Wang, Junzhi Shi

“…The noise data, strong wind shear, and isolated echo region in the Doppler radar radial velocity data severely interfere with the velocity dealiasing algorithm. …”
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Chondrogenic Cancer Grading by Combining Machine and Deep Learning with Raman Spectra of Histopathological Tissues by Gianmarco Lazzini, Mario D’Acunto

“…Raman spectroscopy (RS) is a promising tool for cancer diagnosis. In particular, in the last years several studies have demonstrated how the diagnostic performances of RS can be significantly improved by employing machine learning (ML) algorithms for the interpretation of Raman-based data. …”
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Federated knowledge distillation for enhanced insulator defect detection in resource‐constrained environments by Xiaohu Huang, Minghui Jia, Xianghua Tai, Wei Wang, Qi Hu, Dongping Liu, Peiheng Guo, Shengxiang Tian, Dequan Yan, Haishan Han

“…It has become a mainstream research direction to realise insulator defect detection based on the combination of line images captured by UAVs and deep learning techniques. …”
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A Transformer-Based Approach for Efficient Geometric Feature Extraction from Vector Shape Data by Longfei Cui, Xinyu Niu, Haizhong Qian, Xiao Wang, Junkui Xu

“…This innovative approach offers a more unified, efficient solution for processing vector shape data across different applications.…”
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Rotor Location During Atrial Fibrillation: A Framework Based on Data Fusion and Information Quality by Miguel A. Becerra, Diego H. Peluffo-Ordoñez, Johana Vela, Cristian Mejía, Juan P. Ugarte, Catalina Tobón

“…Finally, the IQ criteria were optimized through a particle swarm optimization algorithm. The proposed framework outperformed existing EGM-based rotor detection methods, demonstrating superior functionality and performance compared to existing EGM-based rotor detection methods. …”
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Electrical discharge machining: Recent advances and future trends in modeling, optimization, and sustainability by Muhamad Taufik Ulhakim, Sukarman, Khoirudin, Dodi Mulyadi, Hendri Susilo, Rohman, Muji Setiyo

“…The incorporation of AI and machine learning is crucial for addressing EDM challenges and driving future development. Moreover, sustainability has become a key area of emphasis in EDM research, with recent advancements focusing on energy-saving discharge techniques, eco-friendly dielectric fluids, and sustainable waste management practices. …”
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Economic sizing and placement of hydrogen fueling and electric vehicles charging stations powered by renewable and battery systems in smart distribution network by Mehdi Veisi

“…The solution is derived using Benders decomposition algorithm to achieve optimal results. …”
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LDDFSF-YOLO11: A Lightweight Insulator Defect Detection Method Focusing on Small-Sized Features by Peng Shen, Keyu Mei, Huiqiong Cao, Yongxiang Zhao, Guoqing Zhang

“…Due to complex environmental conditions, varying viewing angles, and unstable lighting conditions, existing insulator defect detection algorithms still face challenges, including missed detection, false detection, and inadequate adaptability for detecting small-sized defects in UAV captured images. …”
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Weight optimization of steel lattice transmission towers based on Differential Evolution and machine learning classification technique by Tran-Hieu Nguyen, Anh-Tuan Vu

“…Therefore, discovering effective ways to design lattice towers has attracted the interest of researchers. …”
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Physical Information Neural Network-Based Seepage Behavior Analysis of Earth and Rock Dams by XUE binghan, HUANG zhenhua, LEI Jianwei, FANG Hongyuan

“…Moreover, maximum relative deviations at other characteristic free-surface locations remain below 3%, demonstrating the algorithm's high precision throughout the computational domain. …”
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Trials and Tribulations of Chemodynamical Tagging: Investigating the Recovery of Open Clusters in the Gaia Data Release 3 and GALAH Data Release 4 Catalogs by Nicholas A. Barth, David Mendez, Rana Ezzeddine, Yuxi(Lucy) Lu, Leslie M. Morales, Zachary R. Claytor, Jamie Tayar

“…However, the efficacy of chemodynamical tagging as a means to recover individual stellar clusters is still under debate. In this study, we present a detailed investigation of chemodynamical tagging of open clusters using both dynamical and chemical data from the Gaia Data Release 3 and GALAH Data Release 4 surveys, respectively. …”
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Spatial Semantic Expression of Terrain Viewshed: A Data Mining Method by Cheng Zhang, Yiwen Wang, Haozhe Cheng, Wanfeng Dou

“…All viewsheds are basically distributed to the north of the observer, two of which also share the northeast 87° direction with the observer in a straight line distribution but at different distances. …”
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Stem-Leaf Segmentation and Morphological Traits Extraction in Rapeseed Seedlings Using a Three-Dimensional Point Cloud by Binqian Sun, Muhammad Zain, Lili Zhang, Dongwei Han, Chengming Sun

“…These results demonstrate the potential of 3D point cloud technology for automated, non-destructive phenotypic analysis in rapeseed breeding programs, which can accelerate the development of improved varieties.…”
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Factors influencing the effectiveness of SM-VCE method in solving 3D surface deformation by Xupeng Liu, Guangyu Xu, Mingkai Chen, Tengxu Zhang

“…The recovery of coseismic 3-dimensional (3D) surface deformation field plays a crucial role in studying seismic source characteristics and earthquake hazards. …”
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A Distributed Collaborative Navigation Strategy Based on Adaptive Extended Kalman Filter Integrated Positioning and Model Predictive Control for Global Navigation Satellite System/... by Wanqiang Chen, Yunpeng Jing, Shuo Zhao, Lei Yan, Quancheng Liu, Zichang He

“…Subsequently, a Distributed Model Predictive Control (DMPC) framework is introduced. …”
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Research and application of dynamic simulation method for water accumulation in goaf by Guijin BIAN

“…Finally, the three-dimensional model of the accumulated water body in the goaf is dynamically displayed in the 3D engine, and the key data such as the water level and water volume of the goaf are dynamically pushed to be displayed in the software panel. …”
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