Event-Based Visual/Inertial Odometry for UAV Indoor Navigation by Ahmed Elamin, Ahmed El-Rabbany, Sunil Jacob

“…Indoor navigation is becoming increasingly essential for multiple applications. It is complex and challenging due to dynamic scenes, limited space, and, more importantly, the unavailability of global navigation satellite system (GNSS) signals. …”
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Prediction of instability of formwork concrete pier based on big data machine learning for secondary mining without coal pillar mining by Yanhui Zhu, Ye Tian, Peilin Gong, Kang Yi, Tong Zhao

“…Field tests confirmed that reinforcing the flexible pier columns with Z6 concrete reinforcing agent ensured safe mining operations, validating the practical applicability of the prediction model.…”
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Adaptive-optical 3D microscopy for microfluidic multiphase flows by Clemens Bilsing, Erik Nützenadel, Sebastian Burgmann, Jürgen Czarske, Lars Büttner

“…This is prevalent at multiphase flows (e. g. droplets, film flows) that occur in many technical applications as for example in coating and cleaning processes and the water management in fuel cells. …”
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Feasibility of EfficientDet-D3 for Accurate and Efficient Void Detection in GPR Images by Sung-Pil Shin, Sang-Yum Lee, Tri Ho Minh Le

“…Traditional methods of analyzing ground-penetrating radar (GPR) data are labor-intensive and error-prone. This study presents a novel approach using the EfficientDet-D3 deep learning model for automated void detection in GPR images. …”
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Gradient Boosting-Based Simultaneous Classification and Regression Approach by Rawabi Alwanin, Ouiem Bchir, Mohamed Maher Ben Ismail

“…Despite the successful consideration of these tasks to address problems relevant to various applications, the design of dual machine learning approaches that perform both tasks simultaneously remains challenging. …”
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Leveraging Hybrid RF-VLP for High-Accuracy Indoor Localization with Sparse Anchors by Bangyan Lu, Yongyun Li, Yimao Sun, Yanbing Yang

“…Moreover, most VLP applications require the receiver to be within the coverage of at least three LEDs simultaneously, which seriously confines the availability of VLP when LEDs are sparsely deployed. …”
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A Novel Framework for Road Information Extraction From Low-Cost MMS Point Clouds by Baris Suleymanoglu, Metin Soycan

“…The results showed that the mean absolute error for longitudinal slope in the forward and return directions was 0.1% and 0.08%, respectively, while the cross-slope values exhibited deviations of 0.19% and 0.21% compared to the reference data. …”
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Student’s t Kernel-Based Maximum Correntropy Criterion Extended Kalman Filter for GPS Navigation by Dah-Jing Jwo, Yi Chang, Yun-Han Hsu, Amita Biswal

“…Global Navigation Satellite System (GNSS) receivers may produce measurement outliers in real-world applications owing to various circumstances, including poor signal quality, multipath effects, data loss, satellite signal loss, or electromagnetic interference. …”
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Enhanced Pose Estimation for Badminton Players via Improved YOLOv8-Pose with Efficient Local Attention by Yijian Wu, Zewen Chen, Hongxing Zhang, Yulin Yang, Weichao Yi

“…The experimental results show that the proposed ELA-enhanced YOLOv8-Pose model consistently achieves superior accuracy across multiple evaluation metrics, including the mean squared error (MSE), object keypoint similarity (OKS), and percentage of correct keypoints (PCK), highlighting its effectiveness and potential for broader applications in sports vision tasks.…”
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A VMD-TCN-Based Method for Predicting the Vibrational State of Scaffolding in Super High-Rise Building Construction by Ping Zhu, Gen Liu, Jian Wang, Pengfei Wang

“…Compared to predictions using raw, undecomposed signals, the VMD-TCN model reduces the root mean square error (RMSE) by 43.9%, 43.2%, and 34.7% for 1 min, 3 min, and 5 min prediction tasks, respectively, while improving the coefficient of determination (R²) by 21.0%, 33.0%, and 37.6%. …”
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Detection and Prediction of Wind and Solar Photovoltaic Power Ramp Events Based on Data-Driven Methods: A Critical Review by Jie Zhang, Xinchun Zhu, Yigong Xie, Guo Chen, Shuangquan Liu

“…The integration of artificial intelligence has accelerated progress in both event prediction and error correction. However, significant challenges remain, particularly regarding the interpretability, generalizability, and real-time applicability of advanced models. …”
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Hybrid DNN-Based Flight Power Estimation Framework for Unmanned Aerial Vehicles by Minsu Kim, Minji Kim, Yukai Chen, Jaemin Kim, Donkyu Baek

“…The proposed modeling framework was evaluated with flight experiments, demonstrating a 6.12% root mean squared percentage error (RMSPE), which is 39.45% more accurate when compared with a conventional DNN-only power model. …”
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Evaluating MIMO-VLC System Performance: Modulation Techniques and Ambient Light Interference Effects by Emad S. Hassan, Abdoh Jabbari, Ayman A. Alharbi

“…The study evaluates the VLC systems in terms of bit error rate (BER), quality factor (Q-factor), and received power over varying link distances. …”
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Advancing Pet Biometric Identification: A State-of-the-Art Unified Framework for Dogs and Cats by Youssef Boulaouane, Mukhammed Garifulla, Joonho Lim, Daehyun Pak, Jeongtaek Lim

“…This comprehensive system demonstrates robust, high-performance identification for both dogs and cats, with potential applications in national pet registry, pet insurance, veterinary care, and lost pet recovery. …”
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Fuzzy LQR-based control to ensure comfort in HVAC system with two different zones by Elif Çinar, Tayfun Abut

“…The effectiveness of the proposed method (FLQR) is demonstrated through a comprehensive performance evaluation using Mean Squared Error (MSE) metrics, confirming its potential for intelligent HVAC applications.…”
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Machine Learning‐Based Failure Prediction in Concrete Slabs and Cubes Under Impact Loading by Mohammad Hematibahar, Ahmed Deifalla, Adham E. Ragab, Gebre Tesfaldet

“…Design standards‐based statistical comparisons such as coefficient of determination and root mean square error are used to assess the efficacy of the generated models. …”
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Computational fluid dynamics and machine learning integration for evaluating solar thermal collector efficiency -Based parameter analysis by Xiaoyu Hu, Lanting Guo, Jiyuan Wang, Yang Liu

“…The study identifies a critical transition at 100–300 samples where error rates drop sharply, with optimal performance requiring more than 600 samples. …”
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Human Daily Breathing Monitoring via Analysis of CSI Ratio Trajectories for WiFi Link Pairs on the I/Q Plane by Wei Zhuang, Yuhang Lu, Yixian Shen, Jian Su

“…It opens up possibilities for various intelligent applications, like advanced medical monitoring and sleep analysis. …”
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Finite element method in computer simulation for improved patient care in dentistry: A systematic review by Denis Yu. Dyachenko, Svetlana V. Dyachenko

“…In stomatology, the method is applicable in research and implication of novel treatment and relevant material design.Objective. …”
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Toward Low-Cost Passive Motion Tracking With One Pair of Commodity Wi-Fi Devices by Wei Guo, Lei Jing

“…Experimental results in real indoor environment show that WiMT achieves great performance with a motion tracking median error of 7.28 cm and a nonmoving recognition accuracy of 92.6%.…”
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