Modified GIC Estimation Using 3‐D Earth Conductivity by Anna Kelbert, Greg M. Lucas

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A Novel Cascaded Approach for Classification of Tuberculosis Using Cough Audio in Real-Time Environment by Haroon Mahmood, Manal Iftikhar, Aamir Wali, Arshad Ali, Maryam Gulzar

“…Our findings suggest that our model based on patient data and cough auido could support community health workers and health programs in identifying TB cases more effectively and cost-efficiently.…”
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VTWSAR: A Fast Calculation Method for Visible Time Window of SAR Satellite to Regional Target by Xin Shi, Wenjie Xing, Huitao Liu, Yanxue Wang, Mengdao Xing

“…Compared with the professional software STK, the proposed method can improve the calculation efficiency by two times, and the average calculation error is 0.015 s, which proves the effectiveness of the proposed algorithm, and experimental verification is carried out on the SmartSat-X1 satellite, the measured data results confirm the effectiveness of the proposed method.…”
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Spatio-Temporal Feature Aware Vision Transformers for Real-Time Unmanned Aerial Vehicle Tracking by Hao Zhang, Hengzhou Ye, Xiaoyu Guo, Xu Zhang, Yao Rong, Shuiwang Li

“…This study introduces an innovative single-stream UAV tracking architecture, dubbed NT-Track, which is dedicated to enhancing the efficiency and accuracy of real-time tracking tasks. …”
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APPA: An adaptation path planning algorithm for real-time obstacle avoidance in multi-robot systems by Jianzhi Jin, Mou Wu, Ping Fan, Guonian Jin

“…To address these challenges, this paper introduces an Adaptive Path Planning Algorithm (APPA) that enables exploration-based real-time obstacle avoidance in multi-robot systems. The APPA employs a hierarchical two-level planning architecture: in the first stage, an incremental search algorithm is used to generate a potential path framework; in the second stage, an adaptive exploration mechanism refines the path dynamically to adapt to environmental changes and moving obstacles. …”
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A Real-time Speed Profile Planning Algorithm for Freight Trains Based on Neural Network by ZHU Yuqing, BAI Baoxue, CHEN Honghui, CHEN Nankuang, WANG Qingyuan

“…In order to reduce driver’s operation difficulty and improve transportation efficiency, this paper proposed a real-time speed profile planning algorithm based on neural network to guide the freight train driver’s operation. …”
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Mathematical Modelling of Disease Outbreak by Favour Christian, Matthew Molloy

“…This model proved efficient in the analysis of different parameters associated with a zombie outbreak even with the inclusion of a cure. …”
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Damage Identification in Large-Scale Structures Using Time Series Analysis and Improved Sparse Regularization by Huihui Chen, Xiaojing Yuan

“…Aiming at the existing obstacles, this study enables to propose a novel method based on time series analysis model and improved sparse regularization technique for damage identification of the large-scale structure. …”
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Real-Time Aerial Multispectral Object Detection with Dynamic Modality-Balanced Pixel-Level Fusion by Zhe Wang, Qingling Zhang

“…Aerial object detection plays a critical role in numerous fields, utilizing the flexibility of airborne platforms to achieve real-time tasks. Combining visible and infrared sensors can overcome limitations under low-light conditions, enabling full-time tasks. …”
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Evaluation of Thermal Comfort in Urban Commercial Space with Vision–Language-Model-Based Agent Model by Dongyi Zhang, Zihao Xiong, Xun Zhu

“…Taking Harbin Central Street, China as a case study, we first validated model accuracy through ASHRAE scale evaluations of 30% samples (167 images) by 50 experts, and then conducted thermal comfort simulations of eight heat-sensitive roles followed by spatial and interpretability analyses. …”
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Green sustainability assessment and efficiency improvement study of international oil and gas companies: Based on data envelopment analysis by Zuoqian Wang, Zhe Fan

“…It can effectively quantify the relative efficiency of different samples in the same time interval and the efficiency change of a single sample in the time series. …”
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Comparative study of 2D vs. 3D AI-enhanced ultrasound for fetal crown-rump length evaluation in the first trimester by Yuanji Zhang, Yuhao Huang, Chaoyu Chen, Xing Hu, Wenxiong Pan, Huanjia Luo, Yankai Huang, Haixia Wang, Yan Cao, Yan Yi, Yi Xiong, Dong Ni

“…Conclusions The 3DCRL-Net model provides a rapid, accurate, and fully automated solution for CRL measurement in 3D ultrasound, achieving expert-level performance and significantly improving the efficiency and reliability of first-trimester fetal growth assessment.…”
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Decoration of carbohydrate nanocomposite with silver nanoparticles for highly efficient adsorption of methylene blue and antimicrobial against human pathogens by Ahmed K. Saleh, Rasha Jame, Fatimah A. Alotaibi, Mahmoud A. Abdelaziz, Noha Omer

“…In kinetic studies, the pseudo-second-order model for nanocomposite films provided the best fit (R 2  = 0.98), than pseudo-first-order model (R 2  = 0.82 and 0.77). …”
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Derivative-Guided Dual-Attention Mechanisms in Patch Transformer for Efficient Automated Recognition of Auditory Brainstem Response Latency by Yin Liu, Huanghong Sun, Qiang Li, Kangkang Li, Xinxing Fu, Hao Zhu, Tiecheng Song, Yue Zhao, Tiantian Wang, Chenqiang Gao

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Leveraging Low-Rank Adaptation for Parameter-Efficient Fine-Tuning in Multi-Speaker Adaptive Text-to-Speech Synthesis by Changi Hong, Jung Hyuk Lee, Hong Kook Kim

“…In addressing this issue, fine-tuning a TTS model is a popular approach. However, it must be applied once for every new speaker, which results in both time-consuming model training and excessive storage of the TTS model parameters. …”
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Intelligent Energy-Efficient Train Trajectory Optimization Approach Based on Supervised Reinforcement Learning for Urban Rail Transits by Guannan Li, Siu Wing Or, Ka Wing Chan

“…Second, an IETTO model is established to handle uncertain disturbances in real-time train operation and generate optimal energy-efficient train trajectories online by optimizing energy efficiency and receiving supervisory information from trajectories of pre-trained TTO models. …”
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YOLO-RDM: A high accuracy and efficient algorithm for magnetic tile surface defect detection with practical applications. by Wei Niu, Cheng Lv, Enxu Zhang, Zhongbin Wei

“…The experimental results show that the mean average precision (mAP@0.5) of the improved model reaches 95.0%, which is 4.8% higher than that of the original model, and its inference time is less than 5.6 ms. …”
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Advanced KNN-based cost-efficient algorithm for precision localization and energy optimization in dynamic underwater sensor networks by Nadia Shamshad, Lei Wang, Kiran Saleem, Danish Sarwr, Salil Bharany, Ahmad Almogren, Jaeyoung Choi, Ateeq Ur Rehman, Ayman Altameem

“…Results demonstrate notable improvements in localization accuracy by optimizing the localization error rate from 4.59m to $$3.88 \times 10^{-8}$$ m, Reducing localization energy consumption rate 0.0045J in addition for the first time we have also computed the localization Time cost rate which is 0.06762s. we assumed that in real-time and in NS-3 simulations on the Aqua-sim model indicate communication speed at 1500m/s. …”
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HE-BiDet: A Hardware Efficient Binary Neural Network Accelerator for Object Detection in SAR Images by Dezheng Zhang, Zehan Liang, Rui Cen, Zhihong Yan, Rui Wan, Dong Wang

“…To address this, we propose HE-BiDet, an ultra-lightweight Binary Neural Network (BNN) framework co-designed with hardware acceleration. First, we develop an ultra-lightweight SAR ship detection model. …”
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Ideal Parameter Estimation of Photocatalysis Process to Boost Amoxicillin Degradation Efficiency Using Marine Predators Optimization Algorithm by Mohamed K. Hassan, Daniel T. Cotfas, Hegazy Rezk, H. Youssef, Ahmed S. Shehata, Alaa A. El-Bary

“…Firstly, based on the experimental dataset of ADE in terms of pH value, catalyst dosages, and reaction time, a robust fuzzy model is produced to model the photocatalysis/ozonation process. …”
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