A Dual Mode Detection Method for Unexploded Ordnance Based on YOLOv5 for Low Altitude Unmanned Aerial Vehicle by Zhongao Ling, Hui Zhao, Xu Zhao, Ziyu Liu, Wenbin Chen

“…To tackle issues of low detection accuracy and inadequate background discrimination associated with a single information source, an integration of visible light and infrared data has been proposed to enhance the interpretability of the YOLOv5 algorithm, leading to improved detection performance. …”
Get full text

A New Approach for Automatic Search for Families of Optimal Undirected Double-Loop Networks by Emilia A. Monakhova, Oleg G. Monakhov, Edward R. Rzaev, Aleksandr A. Amerikanov, Mikhail Y. Romashikhin, Aleksandr Y. Romanov

“…After applying the integration of differential evolution methods, exhaustive local search, and a new search algorithm (based on the division of graph description polynomials) to the analysis of the generated dataset, we found a large amount of new (distinct from all previously known) families of optimal double-loop networks with generators of linear or quadratic types. …”
Get full text

A digital twin-driven enhanced visualization method for high-steep slope scene by Jun Zhu, Ying Ren, Yukun Guo, Jingyi Lu, Jianlin Wu, Zhihao Guo, Hengchao Gu, Hongyue Zhao

“…Firstly, the slope model is rapidly reconstructed using an improved QEM algorithm combined with multi-level semantic constraints. …”
Get full text

A UAV Image Stitching Method for Complex Urban Environments by W. Niu, D. Qiu, R. Wu, R. Wu, Z. Wang, Y. Shi

“…Future work will explore lightweight deep learning integration and edge computing acceleration to further improve dynamic scene adaptability.…”
Get full text

Nodal Carbon Emission Factor Prediction for Power Systems Based on MDBO-CNN-LSTM by Lihua Zhong, Feng Pan, Yuyao Yang, Lei Feng, Haiming Shao, Jiafu Wang

“…Subsequently, an MDBO-CNN-LSTM deep network architecture is constructed, with detailed explanations of its fundamental structure and operational principles. …”
Get full text

Enhanced Pedestrian Navigation with Wearable IMU: Forward–Backward Navigation and RTS Smoothing Techniques by Yilei Shen, Yiqing Yao, Chenxi Yang, Xiang Xu

“…First, to efficiently re-estimate past system state and reduce accumulated navigation error once zero-velocity measurement is available, both the forward and backward integration method and the corresponding error equations are constructed. …”
Get full text

Development of a risk prediction model for sepsis-related delirium based on multiple machine learning approaches and an online calculator. by Lang Gao, Guang Dong Wang, Xing Yi Yang, Shi Jun Tong, Xu Jie Wang, Yun Ruo Chen, Jin Ying Bai, Ya Xin Zhang

“…Feature selection was conducted using Multivariate Logistic Regression, LASSO regression, and the Boruta algorithm. We developed predictive models using eight machine learning algorithms and selected the best one for validation. …”
Get full text

Multi-Scenario Robust Distributed Permutation Flow Shop Scheduling Based on DDQN by Shilong Guo, Ming Chen

“…A hybrid NEH-DDQN algorithm is integrated into the simulation model via a COM interface and DLL, where the NEH algorithm ensures the model maintains optimal performance during the early training phase. …”
Get full text

Revolutionizing Water Quality Monitoring with Artificial Intelligence: A Systematic Review by Mahmoud Saleh Al-Khafaji, Layth Abdulameer, Muthanna M. A. AL-Shammari, Najah M. L. Al Maimuri, Anmar Dulaimi, Dhiya Al‑Jumeily

Get full text

Advances in Surface-Enhanced Raman Spectroscopy for Urinary Metabolite Analysis: Exploiting Noble Metal Nanohybrids by Ningbin Zhao, Peizheng Shi, Zengxian Wang, Zhuang Sun, Kaiqiang Sun, Chen Ye, Li Fu, Cheng-Te Lin

Get full text

An Approach for Multi-Source Land Use and Land Cover Data Fusion Considering Spatial Correlations by Jing Yang, Yiheng Jiang, Qirui Song, Zheng Wang, Yang Hu, Kaiqiang Li, Yizhong Sun

“…Although existing research has explored land use type recognition from remote sensing imagery, interpretation algorithms, and other perspectives, significant spatial discrepancies exist between these data products. …”
Get full text

Optimal Pre-disaster and Post-disaster Scheduling of Mobile Energy Storage Considering the Influence of Transportation Network by XIE Peikun, LI Liang, SHI Yuanjie, SHENG Qing, LI Zhenkun

Get full text

Orientation reversal and the Chern-Simons natural boundary by Griffen Adams, Ovidiu Costin, Gerald V. Dunne, Sergei Gukov, Oğuz Öner

“…In turn, the latter are combinations of unary q-series in terms of q and its modular counterpart q ~ $$ \overset{\sim }{q} $$ , and are resurgent by construction. The Mordell integral is analytic across the natural boundary of the q and q ~ $$ \overset{\sim }{q} $$ series, and uniqueness of a similar decomposition which preserves algebraic relations on the other side of the boundary defines the unique boundary crossing of the q series. …”
Get full text

Fusion Ranging Method of Monocular Camera and Millimeter-Wave Radar Based on Improved Extended Kalman Filtering by Ye Chen, Qirui Cui, Shungeng Wang

“…Initially, a monocular ranging model was constructed based on object detection algorithms. Subsequently, the pixel-distance joint dual-constraint matching algorithm is employed to accomplish cross-modal matching between the MMW radar and the monocular camera. …”
Get full text

Prediction of Shield Tunneling Attitude Based on WM-CTA Method by GAO Su, CHEN Cheng

“…[Objective] The attitude of a shield machine is a critical parameter that significantly affects tunnel construction, directly determining construction safety and project quality. …”
Get full text

Aided Greenway Design Approach Based on Internet Big Data and AIGC Fine-Tuning Model by Yifan WU, Lu MENG, Liang LI

“…Against this backdrop, the research aims to explore the path of AI-aided design for customized landscape architecture scenarios and, by combining network big data and fine-tuning model technology of artificial intelligence generated content (AIGC), bridge the gap between big data analysis research and scenario generation in design practice, and construct a lightweight aided landscape design approach in response to the trend of segmentation, specialization, and customization in landscape design practice.MethodsThe research adopts the Research for Design (RfD) methodology to build an approach framework for integrating research and design practice. …”
Get full text

Study on the spatiotemporal distribution characteristics and influencing factors of open water during the freezing period in the Inner Mongolia Section of the Yellow River from 198... by Bin Liu, Honglan Ji, Hongchun Luo, Zhongshu Xue, Wenhao Ren, Zhijun Li

Get full text

City-scale industrial tank detection using multi-source spatial data fusion by Zhibao Wang, Mingyuan Zhu, Lu Bai, Jinhua Tao, Mei Wang, Xiaoqing He, Anna Jurek-Loughrey, Liangfu Chen

“…We construct a city scale industrial storage tank object detection dataset using high-resolution remote sensing images and explore the effect of deep learning object detection algorithm optimization on industrial storage tank detection. …”
Get full text

Multi-objective day-ahead optimization of distribution system considering low Carbon and demand response with EV cluster by Peng Gao, Zhuofu Deng, Xianglong Qi, Guofeng Yao, Xin Wang, Yang Gao

“…This paper uses a fuzzy optimization method to transform the multi-objective model into a single-objective model, then SLSQP algorithm is used to solve the single-objective model. …”
Get full text

Study on the peak shaving operation of cascade hydropower stations based on the plant-wide optimal curve by Fengshuo Liu, Kui Huang, Xuanyu Shi, Longqing Zhao, Yangxin Yu, Xueshan Ai, Xiang Fu

Get full text