Design and PIL test of extended Kalman filter for PMSM field oriented control by Meriem Megrini, Ahmed Gaga, Youness Mehdaoui, Jamal Khyat

“…The Field-Oriented Control (FOC) of PMSM is discussed in this research, and the Extended Kalman Filter (EKF) is used to predict the feed back (speed). For the non-linear system, this approach offers an optional estimating strategy that can quickly and accurately estimate state variables. …”
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Neural Network-Based State Estimation for a Closed-Loop Control Strategy Applied to a Fed-Batch Bioreactor by Santiago Rómoli, Mario Serrano, Francisco Rossomando, Jorge Vega, Oscar Ortiz, Gustavo Scaglia

“…The lack of online information on some bioprocess variables and the presence of model and parametric uncertainties pose significant challenges to the design of efficient closed-loop control strategies. To address this issue, this work proposes an online state estimator based on a Radial Basis Function (RBF) neural network that operates in closed loop together with a control law derived on a linear algebra-based design strategy. …”
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Electrodeposition of Ni–MoS2 as effective hydrogen evolution reaction catalysts in alkaline media by Purshotham P. Katti, B.M. Praveen, Bharath K. Devendra, S Varadaraj, J.R. Naveen Kumar

“…Direct current (DC) electrodeposition was used to develop the highly active Ni–MoS2 composite coatings for efficient hydrogen generation. Scanning electron microscopy (SEM), Energy Dispersive X Ray Spectroscopy (EDS), X-ray diffraction (XRD), and linear sweep voltammetry (LSV) were used to evaluate the coatings. …”
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Numerical Solution of the Nonlinear Convection–Diffusion Equation Using the Fifth Order Iterative Method by Newton–Jarratt by Santiago Quinga, Wilson Pavon, Nury Ortiz, Héctor Calvopiña, Gandhy Yépez, Milton Quinga

“…This innovative fifth-order method provides an efficient numerical solution to the nonlinear convection–diffusion equation, addressing the problem through a systematic methodology that combines discretization and nonlinear equation solving. …”
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Analysis of advanced cooling strategies for rocket engines conveying ternary hybrid nanofluids with second slip conditions and melting heat transfer by Hatem Gasmi, A.M. Obalalu, Umair Khan, Anuar Ishak, Hami Gündoğdu, Nermeen Abdullah, Samia Elattar, Ahmed M. Galal

“…Effective cooling in rocket engines is essential to prevent overheating and ensure efficient performance under extreme operating conditions. …”
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Can a Non-Destructive Method Predict the Leaf Area of Species in the Caatinga Biome? by Toshik Iarley da Silva, João Everthon da Silva Ribeiro, Thainan Sipriano dos Santos, Marcos Roberto Santos Correia, Maria Carolina Borges de Oliveira Ribeiro, Allysson Jonhnny Torres Mendonça, Antonio Gideilson Correia da Silva, Pablo Henrique de Almeida Oliveira, Ester dos Santos Coêlho, Aurélio Paes Barros Júnior, Elania Freire da Silva, Alfredo Emilio Rubio-Casal, João L. M. P. de Lima, Thieres George Freire da Silva, Alexandre Maniçoba da Rosa Ferraz Jardim

“…In addition, the product of length and width was calculated. Linear, power and exponential regression models were used. …”
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Solid-Phase Extraction and Large-Volume Sample Stacking-Capillary Electrophoresis for Determination of Tetracycline Residues in Milk by Gabriela Islas, Jose A. Rodriguez, Irma Perez-Silva, Jose M. Miranda, Israel S. Ibarra

“…SPE-LVSS-CE is a robust, easy, and efficient strategy for online preconcentration of tetracycline residues in complex matrices.…”
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Numerical study of bioheat transfer in a vascular bed with counter-flow mechanisms by K.R. Sreegowrav, R. Indira, Sushma M. Puranik, S. Jagadeesha, S.J. Vishwanatha, K. Ganesh Kumar

“…These blood vessels, separated by a thin layer of tissue, prevent mixing while enabling efficient heat exchange. Understanding this counterflow mechanism is vital for studying heat transfer within the vascular bed. …”
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Why cutting is easier than tearing elastomers by Donghao Zhao, Alex Cartier, Tetsuharu Narita, Frederic Lechenault, Costantino Creton, Matteo Ciccotti

“…These multi-scale insights demonstrate the key differences between fracture and cutting mechanics of soft materials, allowing to optimize engineering applications, such as rubber and food processing, energy-efficient recycling, biomedical and surgical devices, protective equipment and sports gear.…”
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Dip Angle Effect on the Main Roof First Fracture and Instability in a Fully-Mechanized Workface of Steeply Dipping Coal Seams by Zhen Wei, Ke Yang, Xiaolou Chi, Wenjie Liu, Xinyuan Zhao

“…The fracture instability mechanism of the basic roof is the key to support selection and surrounding rock stability control, and it is also the guarantee of safe and efficient coal mining. By means of theoretical analysis and numerical calculation, the calculation model of basic roof of steeply dipping coal seams (SDCS) under linear load is established, the stress distribution expression of basic roof plate is deduced, the inclination effect of stress evolution of steeply dipping coal seams (SDCS) workface is analyzed, and the “sequential” weighting mechanism of workface is revealed. …”
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Graphene–Bacteriophage Hybrid Nanomaterials for Specific and Rapid Electrochemical Detection of Pathogenic Bacteria by José M. Campiña, António F. Silva, Carlos M. Pereira

“…Efficient and rapid detection of bacterial pathogens is crucial for food safety and effective disease control. …”
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Reveal genomic insights into cotton domestication and improvement using gene level functional haplotype-based GWAS by Guoan Qi, Yiqian Li, Wanying Zhang, Zegang Han, Jinwen Chen, Ziqian Zhang, Lisha Xuan, Rui Chen, Lei Fang, Yan Hu, Tianzhen Zhang

“…This report provides genomic insight into the genetic dissection and efficient mapping of functional genes in plants.…”
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Iterative Configuration of T-Timed Colored Petri Nets by a MILP Model for Rail Freight Volume and Rolling Stock Planning by Grazielle F. da Silva, Lucas S. M. Guedes, Rodney R. Saldanha, Carlos Andrey Maia, Tomas B. F. Tamantini

“…The proposed model aims to optimize railway transport planning by ensuring efficient asset allocation, maximizing financial returns, and minimizing asset utilization. …”
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Leading Degree: A Metric for Model Performance Evaluation and Hyperparameter Tuning in Deep Learning-Based Side-Channel Analysis by Junfan Zhu, Jiqiang Lu

“…To attain an effective generic side-channel evaluation metric, we investigate the deterministic component of power consumption, find that the elements of score vector under a key follow a linearly transformed chi-square distribution approximately, and some wrong key hypotheses usually with top scores provide great assistance in model performance evaluation, and finally we propose a new metric called Leading Degree (LD) as well as its simplified version LD-simplified for measuring model performance, which offers similar accuracy but much better generality and efficiency compared with the classical side-channel benchmark metric TGE1, and offers similar generality and efficiency but significantly better accuracy compared with recently proposed sidechannel metrics like Label Correlation and Cross Entropy Ratio. …”
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Accurate Time-to-Target Forecasting for Autonomous Mobile Robots by Stefan-Alexandru Precup, Arpad Gellert, Alexandru Matei, Bogdan-Constantin Pirvu, Constantin-Bala Zamfirescu

“…Accurate estimation of payload delivery times poses a significant challenge for efficient planning across different sectors. This paper addresses this challenge by evaluating the effectiveness of four time forecasting methods: Linear Regression, Random Forest Regression, Transformer and Bidirectional Long Short-Term Memory (BiLSTM) networks. …”
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Improved UAV Target Detection Model for RT-DETR by Yong He, Yufan Pang, Guolin Ou, Renfeng Xiao, Yifan Tang

“…This module facilitates the efficient extraction and fusion of multi-source features. …”
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A cutter contacting point trajectory prediction method combining harmonic functions and dimensionality reduction for improving machining precision in flat-end milling by Liangji Chen, Haohao Xu, Huiying Li, Hansong Gao, Haixiong Wang

“…Our approach is integrated into five-axis linear trajectory interpolation, where it quantitatively addresses nonlinear errors that exceed tolerance limits. …”
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High-Speed and Enhanced Motion Control for a Wheeled-Legged Humanoid Robot Using a Two-Wheeled Inverted Pendulum With Roll Joint by Jaewoo An, Jun Young Kim, Myo-Taeg Lim, Yonghwan Oh

“…This framework demonstrates the potential of wheeled-legged humanoid robots to achieve dynamic, stable, and efficient locomotion in a variety of scenarios.…”
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A Study on CNN-Based and Handcrafted Extraction Methods with Machine Learning for Automated Classification of Breast Tumors from Ultrasound Images by Mohamed Benaouali, Mohamed Bentoumi, Mansour Abed, Malika Mimi, Abdelmalik Taleb-Ahmed

“… In this paper, we present an efficient procedure for automatically classifying ultrasound images of benign and malignant breast tumors. …”
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Optimal Activity Recognition Framework Based on Improvement of Regularized Neighborhood Component Analysis (RNCA) by Norazman Shahar, Muhammad Amir As'Ari, Tan Tian Swee, Nurul Fathia Ghazali

“…Neighborhood component analysis (NCA) is a linear transformation that maximizes the accuracy of specified classification events used as the benchmark for the proposed algorithm. …”
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