Machine learning approaches for imputing missing meteorological data in Senegal by Mory Toure, Nana Ama Browne Klutse, Mamadou Adama Sarr, Md Abul Ehsan Bhuiyan, Annine Duclaire Kenne, Wassila Mamadou Thiaw, Daouda Badiane, Amadou Thierno Gaye, Ousmane Ndiaye, Cheikh Mbow

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Development of Recurrent Neural Networks for Thermal/Electrical Analysis of Non-Residential Buildings Based on Energy Consumptions Data by Elisa Belloni, Flavia Forconi, Gabriele Maria Lozito, Martina Palermo, Michele Quercio, Francesco Riganti Fulginei

“…Simplifying input variables can enhance the applicability of artificial intelligence techniques in predicting energy and thermal performance. …”
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An attention mechanism and fully connected layer-based dual-branch network for bioluminescent tomographic reconstruction by Lin Wang, Chenrui Pan, Minghua Zhao, Xin Cao, Xueli Chen

“…However, the simplified optical transmission models and the ill-posed inverse reconstruction limit its wide applications. The development of deep learning has provided new potential for extending the applications of optical BLT. …”
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AI-Integrated AR as an Intelligent Companion for Industrial Workers: A Systematic Review by Steven Yoo, Sakib Reza, Hamid Tarashiyoun, Akhil Ajikumar, Mohsen Moghaddam

“…Augmented reality (AR) has gained significant attention in recent years for its applications in training and assistance in various industrial settings. …”
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Context-Aware Multimodal Fusion with Sensor-Augmented Cross-Modal Learning: The BLAF Architecture for Robust Chinese Homophone Disambiguation in Dynamic Environments by Yu Sun, Yihang Qin, Wenhao Chen, Xuan Li, Chunlian Li

“…Furthermore, the sensor-augmented module significantly improves robustness under noise (speech SNR to 18.6 dB at 75 dB noise, 12.7% reduction in word error rates). By bridging gaps among tonal phonetics, contextual semantics, and computational efficiency, BLAF establishes a scalable paradigm for robust Chinese homophone disambiguation in industrial NLP applications. …”
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The Prediction of the Valve Opening Required for Slugging Control in Offshore Pipeline Risers Based on Empirical Closures and Valve Characteristics by Jiqiang Fu, Quanhong Wu, Jie Sun, Hanxuan Wang, Suifeng Zou

“…A field case with a flexible S-shape riser proves the good applicability of the model (with a deviation smaller than ±2%). …”
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An interpretable deep learning model for the accurate prediction of mean fragmentation size in blasting operations by Baoqian Huan, Xianglong Li, Jianguo Wang, Tao Hu, Zihao Tao

“…To enhance the convenience of the model in practical applications, we developed an interactive Graphical User Interface (GUI), allowing users to input relevant variables and obtain instant prediction results.…”
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Effects of Konjac Glucomannan and Curdlan on the 3D Printability and Physicochemical Properties of Germinated Brown Rice Gel by Chun Bai, Ran Liu, Liuyang Shen, Yu Zhuang, Jiaying Hu

“…These findings provide theoretical support for optimizing GBR applications in food 3D printing.…”
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Simulation of the Dynamic Response to Sinusoidal Excitation of the Elastic Porous Metal Mesh Damper by Yichuan Shao, Shibin Song, Taia Xin, Jinyu Wang, Xiaobo Xie

“…However, the design of a metal mesh damper relies heavily on the trial-and-error methodology for tuning fabrication parameters, which prevents it from widespread use in rotor-bearing applications. …”
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An Image-Free Single-Pixel Detection System for Adaptive Multi-Target Tracking by Yicheng Peng, Jianing Yang, Yuhao Feng, Shijie Yu, Fei Xing, Ting Sun

“…Quantitative evaluations under 1920 × 1080 pixel resolution reveal a normalized root mean square error (NRMSE) of 0.00785, confirming the method’s capability for robust multi-target tracking in practical applications.…”
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A flexible and lightweight signcryption scheme for underwater wireless sensor networks by Sabir Shah, Nadeem Sarwar, Abdu Salam, Farhan Amin, Faizan Ullah, Asfandyar Khan, Isabel de la Torre, Mónica Gracia Villar, Helena Garay

“…It has several key applications for instance; marine monitoring, surveillance, environmental sensing, etc. …”
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Research on the method of weight calculation and equipment arrangement optimization of tramcar by DUAN Huadong, LIU Xiaofeng, JIANG Zhongcheng, ZHANG Bo

“…The accuracy and efficiency of the method can meet the needs of engineering applications.…”
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A networked station system for high-resolution wind nowcasting in air traffic operations: A data-augmented deep learning approach. by Décio Alves, Fábio Mendonça, Sheikh Shanawaz Mostafa, Diogo Freitas, João Pestana, Dinarte Vieira, Marko Radeta, Fernando Morgado-Dias

“…This study introduces a high-resolution wind nowcasting model designed for aviation applications at Madeira International Airport, a location known for its complex wind patterns. …”
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Deep Learning Based Channel Estimation for UAVs: A Modified U-Net Approach by GUPTA, C., YADAV, S. S.

“…A stable and reliable communication link is crucial for unmanned aerial vehicle (UAV) applications. Key challenges include the UAV's high mobility (10-100 km/h) and an unstable data link. …”
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Statistical Analysis of Novel Ensemble Recursive Radial Basis Function Neural Network Performance on Global Solar Irradiance Forecasting by Manoharan Madhiarasan, Mohamed Louzazni, Brahim Belmahdi

“…Furthermore, the proposed ERRBFNN lowers the forecasting error to the least compared to other state-of-the-art forecasting models.…”
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Personalized trajectory inference framework integrating driving behavior recognition and temporal dependency learning. by Jinhao Yang, Junwen Cao, Mingyu Fang

“…This methodology advances personalized trajectory modeling with practical intelligent transportation applications.…”
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Combination of dynamic TOPMODEL and machine learning techniques to improve runoff prediction by Pin‐Chun Huang

“…The research findings show that the proposed methodology achieves the lowest mean relative error (MRE) at 0.106, the highest Pearson correlation coefficient (PC) at 0.938, and the highest coefficient of determination (R2) at 0.906 among the three dynamic TOPMODEL types adopted in this study. …”
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An Optimal Algorithm for Renewable Energy Generation Based on Neural Network by Weihua Zhao, Imran Khan, Shelily F. Akhtar, Mujahed Al-Dhaifallah

“…The results show that the proposed algorithm has technological applications and may greatly improve prediction accuracy.…”
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Response Characteristics of Steppe Inland River Basins under Climate Change and Its Impact on Runoff from 1982—2020 by CHEN Hongguang, MENG Fanhao, SA Chula, LUO Min, WANG Mulan

“…Based on hydro-meteorological data and normalized difference vegetation index (NDVI) from 1982 to 2020,this paper studies the Wulagai River basin in Inner Mongolia and analyzes the vegetation response characteristics of the basin under climate change and its impact on runoff by adopting a hydrological model of soil and water assessment tool (SWAT) and statistical analysis method.The results show that the SWAT model has good applicability in the basin.The Nash-Sutcliffe efficiency coefficient (NSE) and coefficient of determination (R²) are larger than 0.62 in both regular and validation periods,and the relative error (PBLAS) is less than 18.8%.In the last 40 years,precipitation in the basin decreased slowly at a rate of 8.9 mm/10a,while temperature and actual evapotranspiration increased at a rate of 0.43°C/10a and 2.8 mm/10a,respectively,which indicates that the basin is becoming warm and dry.As the basin climate gets warm and dry,the vegetation recovers and grows vigorously.As a result,climate change and vegetation recovery lead to a reduced runoff depth of the basin.The study results can provide a reference for ecological conservation and sustainable utilization of water resources of inland river basins in arid and semi-arid regions.…”
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Hybrid Fuzzy Centroid with MDV-Hop BAT Localization Algorithms in Wireless Sensor Networks by Chakchai So-In, Weerat Katekaew

“…Many applications employing wireless sensor networks have been available in real-world scenarios. …”
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