Residual Vision Transformer and Adaptive Fusion Autoencoders for Monocular Depth Estimation by Wei-Jong Yang, Chih-Chen Wu, Jar-Ferr Yang

“…Precision depth estimation plays a key role in many applications, including 3D scene reconstruction, virtual reality, autonomous driving and human–computer interaction. …”
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AnomLite: Efficient binary and multiclass video anomaly detection by Anna K. Zvereva, Mariam Kaprielova, Andrey Grabovoy

“…These attributes make AnomLite suitable for real-time applications in resource-constrained environments like urban centers and public transport hubs. …”
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End‐To‐End Deep Learning Temperature Prediction Algorithms of a Phase Change Materials From Experimental Photos by Mohammad Hassan Ranjbar, Kobra Gharali, Artie Ng

“…Comparison of the networks shows that MobileNets based Weights IV – Deep Neural Network (WIV‐ DNN) detects the temperature at different locations of the PCM successfully with an average error of less than 0.9% during the whole melting process in 0.03 s. …”
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Early-stage breast cancer screening using a new biodegradable and easily implantable multi-element sensor in sub-THz range by Madan Kumar Sharma, Satyanarayana Degala, Abdullah Said Alkalbani

“…The Principal Component Analysis (PCA) results, error bar and sensitivity parameters are accounted for in the analysis to discriminate the normal phantom from malignant phantoms. …”
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Study of Prospects of Two-Phase Gravity Thermosiphons Used in Waste Heat Boilers of Cogeneration Units by Dolganov Yu.A., Yepifanov А.A., Patsurkovskyi P.A., Sorokina T.N., Lychko B.M.

“…The graphical dependence of the temperature difference in the thermosiphon cavity on the heat flux density is presented. The root-mean-square error of experimental results was calculated, being up to 5.7%. …”
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Semantic segmentation framework for atoll satellite imagery: An in-depth exploration using UNet variants and Segmentation Gym by Ray Wang, Tahiya Chowdhury, Alejandra C. Ortiz

“…However, identifying an appropriate segmentation approach for geoscience research remains challenging, often relying on trial-and-error experimentation for data preparation, model selection, and validation. …”
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Deep Learning-Based Data-Assisted Channel Estimation and Detection by Hamidreza Hashempoor, Wan Choi

“…Our Denoising Block also enables direct data detection, rendering the system well-suited for low-latency applications. To enable model training, we propose a hybrid likelihood objective of the detected symbols. …”
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Comparative analysis of image mosaicing techniques for aerial agriculture field imaging by Maria John, S. Santhanalakshmi, J Amudha, Jianfeng Zhou

“…The research findings provide knowledge to select the best mosaicing solutions that will benefit crop health assessment and yield estimation applications.…”
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Phase-Field Simulation of the Creep Mechanism in the AZ31 Magnesium Alloy Under Discontinuous Dynamic Recrystallization Dominance by Alireza Rezvani, Ramin Ebrahimi, Ebad Bagherpour

“…The model accurately predicts recrystallization kinetics and microstructural evolution, exhibiting a strong correlation with experimental results, with an error of approximately 5%. This research provides a robust and efficient approach for predicting creep behavior in high-temperature applications, vital for optimizing material selection and predicting component lifespan in industries. …”
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Boosting EMG classification: a hybrid NCA-driven evolutionary optimization approach for high accuracy and efficiency by X. Little Flower, S. Poonguzhali

“…The results suggest that NCA-GWO and NCA-EO have significant potential for real-time EMG classification applications.…”
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Calibration and Performance Evaluation of Cost-Effective Capacitive Moisture Sensor in Slope Model Experiments by Muhammad Nurjati Hidayat, Hemanta Hazarika, Haruichi Kanaya

“…However, these sensors need to be calibrated for specific applications to ensure high accuracy in readings. In this study, a soil-specific calibration was performed in a laboratory setting to integrate the soil moisture sensor with an automatic monitoring system using the Internet of Things (IoT). …”
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Simulation Study and Development of Semiparametric Multiresponse Multigroup Truncated Spline Regression for Rice Pest Control by Laila Nur Azizah, Adji Achmad Rinaldo Fernandes, Ni Wayan Surya Wardhani

“…This multi-response regression model proves more optimal when error variance and multicollinearity levels are kept low to moderate.…”
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Integration of UAV-derived digital elevation model and GNSS for orthometric height determination in urban mapping by Ibrahim O. RAUFU, Herbert TATA, Emmanuel B. ADEWOLE

“… Accurate orthometric height information is critical for a variety of urban geospatial applications, including cadastral mapping, infrastructure development, and flood risk assessment. …”
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Prescribed Performance Bounded-H_∞ Control for Flexible-Joint Manipulators Without Initial Condition Restriction by Ye Zhang, Ruibo Sun, Jie Shang

“…Flexible-joint manipulators have a lightweight nature, compact structure, and high flexibility, making them widely applicable in industrial manufacturing, biomedical instruments, and aerospace fields. …”
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Research on the Automatic Recognition Method of Micro-nano Regeneration Rubber Filler Dispersion in Scanning Electron Microscope Images by Yunhui Xu, Min Deng, Hui Tu, Zaheer ul haq, Haifeng Xu, Zhenghua Xin

“…However, current methods for assessing dispersion rely on subjective visual estimation of electron microscope images, which lack quantitative precision and are prone to human error, especially given the complex distribution of micro-nano particles. …”
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An Adaptive BiGRU-ASSA-iTransformer Method for Remaining Useful Life Prediction of Bearing in Aerospace Manufacturing by Youlong Lyu, Qingpeng Qiu, Ying Chu, Jie Zhang

“…Experiments on the PHM 2012 and XJTU-SY datasets demonstrate that this model achieves the lowest prediction error and highest accuracy compared to existing methods, highlighting the value of combining handcrafted and deep learning approaches for robust RUL prediction in aerospace applications.…”
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Three Hour Ahead PV Power Forecasting with Bidirectional Recurrent Networks: Insights into Monthly Variability by Ferial El Robrini, Badia Amrouche

“…Notably, Bi-GRU consistently outperforms the other models, displaying lower error rates and higher accuracy across diverse months. …”
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State of Health Prediction of Pure Electric Vehicle Batteries Based on Patch Wavelet Transformer by Min Wei, Siquan Yuan, Lin Chen, Yuhang Liu, Jie Hu

“…In conclusion, the proposed method exhibits promising prospects in both theoretical research and engineering applications, providing a novel and effective approach to power battery health management.…”
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A 5G smartphone-oriented dual-band dual-antenna system designed via characteristic mode theory and surface current analysis by Zhaozhi Gu, Wenhan Li, Shibao Li

“…The proposed system demonstrates compact geometry, low-cost fabrication, and scalability for array applications. This study presents a systematic design methodology that integrates characteristic mode analysis with current distribution optimization. …”
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Typical Fault Estimation and Dynamic Analysis of a Leader-Follower Unmanned Aerial Vehicle Formation by Jian Shen, Qingyu Zhu, Xiaoguang Wang, Pengyun Chen

“…The results illustrate the credibility and applicability of the fault estimation and dynamic control strategies for the UAV system which are proposed in this paper. …”
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