Potential and challenges of underground CO2 storage via in-situ mineralization in Switzerland by Adrian Martin, Viola Becattini, Chiara Marieni, Salka Kolbeinsdóttir, Marco Mazzotti, Thanushika Gunatilake

“…Despite the presence of suitable rock types, these units are marked by alpine deformation with highly complex structures, rock mixtures, and complex bedrock hydrogeology. …”
Get full text

The relationship between adaptation disorders and psychophysiological and psychological characteristics of electric power workers in the South of Russia by E.V. Vorobyeva

“…A greater severity of the features of stuck and cyclothymic accentuations of character at the physiological level corresponds to lower indicators of the complex visual-motor reaction. <strong>Conclusions.…”
Get full text

Nonlinear Path Optimization Algorithm for Mining Trucks Based on Two-Layer Trust Region Strategy by PENG Fan, HU Yunqing, LIU Yong, DENG Mukun, LUO Yu, LIU Xibing

“…These optimization results not only demonstrate an improvement in the planning efficiency of driverless mining trucks, but also a significant enhancement in their operational safety in complex environments.…”
Get full text

ALPD-Net: a wild licorice detection network based on UAV imagery by Jing Yang, Huaibin Qin, Jianguo Dai, Guoshun Zhang, Miaomiao Xu, Yuan Qin, Jinglong Liu

“…To improve the model’s performance in complex backgrounds, an Adaptive Background Suppression Module (ABSM) was designed. …”
Get full text

An Optimized GWO-BPNN Model for Predicting Corrosion Fatigue Performance of Stay Cables in Coastal Environments by Liping Zhou, Guowen Yao

“…The GWO-BPNN model excels in capturing complex, non-linear dependencies within fatigue data, outperforming conventional prediction methods. …”
Get full text

Multi-Way Fluorescence Technique Combined with Four-Way Calibration for the Determination of Thiabendazole and Carbaryl in Apple by Haiyan Chang, Hailong Wu, Tong Wang, Xiaozhi Wang, Ruqin Yu

“…The average spiked recoveries of the target analytes ranged from 98.4% to 101.9%, and the relative standard deviation was less than 5.6%. …”
Get full text

A GAN-Based Framework with Dynamic Adaptive Attention for Multi-Class Image Segmentation in Autonomous Driving by Bashir Sheikh Abdullahi Jama, Mehmet Hacibeyoglu

“…The most recent deep learning-based image segmentation models have demonstrated impressive performance in structured environments, yet they often fall short when applied to the complex and unpredictable conditions encountered in autonomous driving. …”
Get full text

A Novel YOLOv10-Based Algorithm for Accurate Steel Surface Defect Detection by Liefa Liao, Chao Song, Shouluan Wu, Jianglong Fu

“…It excels in identifying complex defects like ’rolled in scale’ and ’inclusion’. …”
Get full text

Retinal and choroidal morphological changes in Huntington's disease by S. N. Svetozarskiy, S. V. Kopishinskaya, I. G. Smetankin

“…OCT revealed a significant decrease in the foveal choroidal thickness, GCC complex thickness, average, temporal, inferior and nasal RNFL thickness and total retinal thickness in the external temporal area in HD patients as compared to the controls. …”
Get full text

Forecasting Transient Fuel Consumption Spikes in Ships: A Hybrid DGM-SVR Approach by Junhao Chen, Yan Peng

“…Accurate prediction of ship fuel consumption is essential for improving energy efficiency, optimizing mission planning, and ensuring operational integrity at sea. However, during complex tasks such as high-speed maneuvers, fuel consumption exhibits complex dynamics characterized by the coexistence of baseline drift and transient peaks that conventional models often fail to capture accurately, particularly the abrupt peaks. …”
Get full text

End-to-End Vector Simplification for Building Contours via a Sequence Generation Model by Longfei Cui, Junkui Xu, Lin Jiang, Haizhong Qian

“…The results demonstrate that TPSM outperforms five established simplification algorithms in controlling changes to building area, orientation, and shape fidelity, achieving an average intersection over union (IoU) of 0.901 and a complexity-aware IoU (C-IoU) of 0.735.…”
Get full text

Milrinone in pediatric heart failure by Yu. S. Aleksandrovich, A. V. Agafonova, K. V. Pshenisnov

“…Heart failure is one of the most dangerous life-threatening conditions in children, requiring complex pathogenetically based treatment aimed at increasing cardiac output.The objective was to analyze publications devoted to assessing the effectiveness and safety of the use of milrinone in critical conditions in children.Materials and methods. …”
Get full text

An improved enterprise development optimizer based on labor migration for numerical optimization by Dawei Zhao, Leidong Feng, Yijiang Wang, Xinyu Cai, Xiang Liu

“…In conclusion, LMEDO is a promising variant of metaheuristic algorithms and is effective and accurate for solving complex problems.…”
Get full text

A Two-Stage Optimization Method for Multi-Runway Departure Sequencing Based on Continuous-Time Markov Chain by Guan Lian, Yingzi Wu, Weizhen Luo, Wenyong Li, Yaping Zhang, Xiaoyue Zhang

“…This innovative approach highlights the potential for optimizing airport resource scheduling in complex and dynamic environments.…”
Get full text

Post Constraint and Correction: A Plug-and-Play Module for Boosting the Performance of Deep Learning Based Weather Multivariate Time Series Forecasting by Zhengrui Wang, Zhongwen Luo, Zirui Yang, Yuanyuan Liu

“…Traditional numerical weather prediction (NWP) methods applied to multivariate time series forecasting are grounded in statistical principles such as Autoregressive Integrated Moving Average (ARIMA); however, they often struggle with capturing complex nonlinear patterns among meteorological variables and temporal variances. …”
Get full text

Lane and Traffic Sign Detection for Autonomous Vehicles: Addressing Challenges on Indian Road Conditions by H. S. Gowri Yaamini, Swathi K J, Manohar N, Ajay Kumar G

“…YOLOv8 algorithm has its challenges but gives better precision results and YOLOv8 nano variant is widely used as it is computationally less complex comparatively. Through rigorous evaluations of diverseness in the datasets, the proposed YOLOv8n transfer learning models exhibits remarkable performance with a mean Average Precision (mAP) of 90.6 % and inference speed of 117 frames per second (fps) for lane detection whereas, a notable mAP of 81.3 % for traffic sign detection model with a processing speed of 56 fps. • YOLOv8n Transfer Learning approach by adjusting architecture for lane and traffic sign detection in Indian diverse Urban, Suburban, and Highway scenarios. • Dataset with 22,400 images of normal and complex Indian scenarios include crude weathering of roads, traffic conditions, diverse tropical weather conditions, partially occluded and partially erased lanes, and traffic signs. • The model performance with notable precision and frame wise inference.…”
Get full text

Vehicle Flow Detection and Tracking Based on an Improved YOLOv8n and ByteTrack Framework by Jinjiang Liu, Yonghua Xie, Yu Zhang, Haoming Li

“…These enhancements significantly boost the model’s ability to detect small objects and handle complex backgrounds. In the tracking module, we incorporate the ByteTrack algorithm and train unique vehicle re-identification (Re-ID) features, ensuring robust multi-object tracking in complex environments and improving the stability and accuracy of vehicle flow tracking. …”
Get full text

FAMHE-Net: Multi-Scale Feature Augmentation and Mixture of Heterogeneous Experts for Oriented Object Detection by Yixin Chen, Weilai Jiang, Yaonan Wang

“…These results highlight the effectiveness of FAMEH-Net in object detection within complex remote sensing images.…”
Get full text

Enhanced Lightweight YOLO Model for Efficient Vehicle Detection in Satellite Imagery by Mohamad Haniff Junos, Anis Salwa Mohd Khairuddin, Elmi Abu Bakar, Ahmad Faizul Hawary

“…Vehicle detection in satellite images is a challenging task due to the variability in scale and resolution, complex background, and variability in object appearance. …”
Get full text

Retrieving Multiaspect Point Clouds From a Multichannel K-Band SAR Drone by Peter Brotzer, Emiliano Casalini, David Small, Alexander Damm, Elias Mendez Dominguez

“…Through a series of experiments with increasingly complex 3-D structures, we evaluate the accuracy of the derived point clouds. …”
Get full text