Optimizing Solid Rocket Missile Trajectories: A Hybrid Approach Using an Evolutionary Algorithm and Machine Learning by Carlo Ferro, Matteo Cafaro, Paolo Maggiore

“…In the initial phase, a GA is employed to optimize the missile’s trajectory for efficient target acquisition, defining key launch parameters such as the ramp angle and lateral maneuver force to minimize positional errors and to ensure effective target engagement. …”
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Robust SAR Change Detection Using Hierarchical Clustering With Adaptive Parameter Tuning by Ahidjo Abdoulaye, Alejandro C. Frery, Mingyang Ma, Shaohui Mei

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Application of intelligence models based on soft computing in investigating the discharge coefficient of the sluice gate under free-flow condition and symmetrical sill with the hel... by H.R. Abbaszadeh, Y. Hassanzadeh, R. Daneshfaraz, R. Norouzi

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A Systematic Method for the Calibration of FEA Model of Synchronous Reluctance Machines Considering Manufacturing Effects by Andrea Credo, Paolo Pescetto

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Time to First Fix Robustness of Global Navigation Satellite Systems: Comparison Study by Carlos Hernando-Ramiro, Óscar Gamallo-Palomares, Javier Junquera-Sánchez, José Antonio Gómez-Sánchez

“…This parameter is crucial for applications where a position, within an acceptable error, is needed as soon as possible after turning the device on. …”
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Smartphone‐Embedded Artificial Intelligence‐Based Regression for Colorimetric Quantification of Multiple Analytes with a Microfluidic Paper‐Based Analytical Device in Synthetic Tea... by Meliha Baştürk, Elif Yüzer, Mustafa Şen, Volkan Kılıç

“…The model is also embedded into a smartphone via a custom‐designed Android application named ChemiCheck to complete on‐site colorimetric quantification without internet access in under 1 s. …”
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A New and Improved Sliding Mode Control Design Based on a Grey Linear Regression Model and Its Application in Pure Sine Wave Inverters for Photovoltaic Energy Conversion Systems by En-Chih Chang, Yeong-Jeu Sun, Chun-An Cheng

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Application of a Multi‐Layer Artificial Neural Network in a 3‐D Global Electron Density Model Using the Long‐Term Observations of COSMIC, Fengyun‐3C, and Digisonde by Wang Li, Dongsheng Zhao, Changyong He, Yi Shen, Andong Hu, Kefei Zhang

“…The correlation coefficients of the predicted profiles all exceed 0.96 for the training, validation and test datasets, and the minimum root‐mean‐square error of the predicted residuals is 7.8 × 104 el/cm3. …”
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Application of <inline-formula><tex-math notation="LaTeX">$L_{1}-L_{2}$</tex-math></inline-formula> Regularization in Sparse-View Photoacoustic Imaging Reconstruction by Mengyu Wang, Shuo Dai, Xin Wang, Xueyan Liu

“…This discovery holds significant potential for enhancing sparse sampling photoacoustic tomography algorithms, and it offers valuable insights for future biomedical application development.…”
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Application of machine learning and neural network models based on experimental evaluation of dissimilar resistance spot-welded joints between grade 2 titanium alloy and AISI 304 s... by Marwan T. Mezher, Alejandro Pereira, Rusul Ahmed Shakir, Tomasz Trzepieciński

“…The use of a composite welded joint consisting of titanium and austenitic stainless steel metals is evidently a favourable selection for industrial applications employing the resistance spot welding (RSW) operation. …”
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Aplicação de um modelo paramétrico multivariado para o controle da temperatura de fornos de túnel A multivariate application of parametric model to control the tunel oven temperatu... by Adriano Mendonça Souza, Robert Wayne Samohyl, César O. Malavé

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Evaluation methods and engineering applications of in-situ stress in deep, strong heterogeneity terrestrial shale oil and gas reservoirs: a case study of jurassic shales in the Yin... by Shujun Yin, Jianliang Zhang, Hucheng Deng, Hucheng Deng, Hao Qin, Wenhao Xia, Yu Du, Ming Gong, Tao Huang, Chang Li

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Correction: Balkrishna et al. Application of Zebrafish Model in the Suppression of Drug-Induced Cardiac Hypertrophy by Traditional Indian Medicine Yogendra Ras. <i>Biomolecules</i>... by Acharya Balkrishna, Yashika Rustagi, Kunal Bhattacharya, Anurag Varshney

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Estudo sobre a aplicação do método de avaliação do modelo de processos de negócio do EKD A study on the application of the assessment method of business processes model of EKD... by Silvia Inês Dallavalle de Pádua

“…This method includes the simulation of the model of business processes to verify whether it is free of deadlocks and errors. This research is a literature revision, with application based on secondary data. …”
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Application of a Dual-Stream Network Collaboratively Based on Wavelet and Spatial-Channel Convolution in the Inpainting of Blank Strips in Marine Electrical Imaging Logging Images:... by Guilan Lin, Sinan Fang, Manxin Li, Hongtao Wu, Chenxi Xue, Zeyu Zhang

“…Experiments show that, in the inpainting indexes for Block X in the South China Sea, the mean absolute error (MAE), structural similarity index (SSIM), and peak signal-to-noise ratio (PSNR) of this method are 6.893, 0.779, and 19.087, respectively, which are significantly better than the improved filtersim, U-Net, and AOT-GAN methods. …”
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IQA Vision Transformed: A Survey of Transformer Architectures in Perceptual Image Quality Assessment by Mobeen Ur Rehman, Imran Fareed Nizami, Farman Ullah, Irfan Hussain

“…ViTs leverage attention mechanisms to focus selectively on relevant image patches, showing promise in aligning more closely with human perceptual errors. We identify key limitations of conventional IQA methods and track the evolution from early learning-based approaches to contemporary deep learning models, with a specific focus on ViTs. …”
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Runoff Simulation Study of Ganjiang River Basin Based on Distributed Time-varying Gain Hydrological Model and CN05.1 Precipitation Data by ZHONG Qi, FU Xiaolei, JIANG Xiaolei, ZHANG Yuchen, HU Leyi, ZHANG Liping

“…Additionally,the paper evaluates the applicability of the distributed time-variant gain hydrological model (DTVGM) and CN05.1 precipitation data in simulating runoff in the Ganjiang River Basin.The results show that:① CN05.1 precipitation and station interpolated precipitation exhibit similar variation patterns over multiple years,with a high spatial distribution correlation and a mean correlation coefficient (R) of 0.90.The correlation between CN05.1 daily precipitation and interpolated daily precipitation is also high,with a root mean square error (RMSE) of less than or equal to 7.52 mm and an R value greater than or equal to 0.81.② Using CN05.1 precipitation and station interpolated precipitation data,the flow of six hydrological stations,including Xintian,in the Ganjiang River Basin is simulated from 1961 to 2009.The simulated flow generally exceeds the measured flow during high flow periods,indicating that the model overestimates the simulation of large flows.③ The accuracy of runoff simulation based on CN05.1 precipitation is high, whether for daily or monthly runoff, with better performance in simulating monthly runoff compared to daily runoff.Therefore,the DTVGM model and CN05.1 precipitation data are highly applicable for runoff simulation in the Ganjiang River Basin.…”
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Application of sensitive quality indicators of assembly for medical instruments in quality management of Central Sterile Supply Department (器械装配质量敏感指标在消毒供应中心质量管理中的应用)... by ZHANG Ying (张颖), ZHANG Xiaorong (张晓蓉), CAO Lixia (曹丽霞)

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Configurational Comparison of a Binary Logic Transmission Unit Applicable to Agricultural Tractor Hydro-Mechanical Continuously Variable Transmissions and Its Wet Clutch Optimizati... by Wenjie Li, Zhun Cheng, Mengchen Yang

“…Under light-load conditions, the optimized GRNN reduced total relative error by 39.6%, while under heavy-load conditions, it achieved a 61% reduction. …”
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Spectrophotometric Determination of Micro Amount of Chromium (III) Using Sodium 4-((4,5-diphenyl-imidazol-2-yl)diazenyl)-3-hydroxynaphthalene-1-sulfonate in the Presence of Surfact... by Hawraa Abdul Hadi Abdul Ameer, Alaa Frak Hussain

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