Predicting flexural strength of hybrid FRP-steel reinforced beams using symbolic regression and ML techniques by Khaled Megahed

“…This study aims to enhance the predictive accuracy and interpretability of flexural strength models by applying advanced computational approaches—specifically, machine learning (ML) techniques and symbolic regression. …”
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Cutting through the noise: A Three-Way Comparison of Median, Adaptive Median, and Non-Local Means Filter for MRI Images by Raniya Ashraf, Roz Nisha, Fahad Shamim, Sarmad Shams

“…In medical imaging, denoising techniques are essential during image processing for a meaningful view of the anatomical structure of the images. …”
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Operational monitoring of acoustic sensor networks by V. A. Boltenkov, G. Kh. M. Al-Jasri

“…Both of them are based on the placement of the test sound source within a network. The signal processing for ASN sensors had to detect the failed element. …”
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Numerical simulation on aerodynamic noise of 120 km/h metro train by YAN Lei, YOU Tianyv, YANG Zhigang

“…The mechanism of noise generated by rail vehicles in the process of driving is complex. Noise problems not only cause trouble to the comfort of passengers, but also restrict the development and application of rail transit vehicle to a certain extent. …”
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A Study of Resolution Improvement in Noncoherent Optical Coherence Imaging by Guoliang Yang, Junhong Su, Yuan Li, Jialin Cai, Yiren Li

“…The effect of the focal length and recording distance of the dislocation mask on the resolution of the system is investigated by both computer simulation and experimental operation.…”
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SOLVING ENGINEERING OPTIMIZATION PROBLEMS WITH THE SWARM INTELLIGENCE METHODS by A. V. Panteleev, M. D. Evdokimova

“…An important stage in problem solving process for aerospace and aerostructures designing is calculating their main characteristics optimization. …”
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Large Eddy Simulation (LES) of Hydrogen Jet Flames and Finite Element Analysis of Thermal Barrier Coating by Alon Davidy

“…Jet fires are a significant concern in the oil and gas industry due to the handling and processing of large volumes of flammable hydrocarbons under pressure. …”
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Leading two-loop corrections to the Higgs di-photon decay in the inert doublet model by Masashi Aiko, Johannes Braathen, Shinya Kanemura

“…We employ for this calculation the Higgs low-energy theorem, meaning that we obtain corrections to the Higgs decay process by taking Higgs-field derivatives of the leading two-loop contributions to the photon self-energy. …”
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Deep learning based multi attribute evaluation for holistic student assessment in physical education by Huige Liang, Huifeng Liang

“…The methodology comprises a ten-step process that involves information collection, preparation, model construction, and deployment, followed by regular review and adjustments. …”
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Exploiting earthquake-induced landslide inventories for macroseismic assessment using the environmental seismic intensity (ESI-07) scale by Eliana Muccignato, Maria Francesca Ferrario

“…Here, we apply a grid-based methodology to compute LND, LAP and ESI-07 values for 40 landslide inventories related to 33 earthquakes worldwide. …”
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Abduction as Incomplete Parameter Estimation by Moto Kamiura

“…Abduction is a kind of logical inference, and has been studied in computer science and artificial intelligence (Fin- lay and Dix 1996). …”
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Electric Submersible Pump Fault Diagnosis Based on Laplacian Eigenmaps and Weighted Extreme Learning Machine by XU Zekun, FU Jun, GAO Xiaoyong, ZHANG Yu, LI Qiang, TAN Chaodong

“…In response to the serious imbalance in the data collected by ESP, firstly, a fault diagnosis model is established using a weighted extreme learning machine; Then, to solve the problems of insufficient algorithm learning, high computational costs caused by weighted strategies, and poor performance in applying to high-dimensional feature spaces, the Laplacian eigenmaps method is introduced to further optimize the model; finally, the effectiveness of the proposed method was validated on the TE chemical process dataset, and the practicality of the algorithm was experimentally validated on the real-time fault dataset of electric submersible pump. …”
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Modelo De Memoria Usando Red Neuronal De Retropropagación by Ramiro Alejandro Yerovi Vargas

“…The object recognition mechanism was modeled through a computer simulation. The model experiment learning over all 3D space as a dataset, also learn sequentially with each iteration, consequently have an intelligent system (artificial intelligence). …”
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Aerodynamic interaction of rain and wind turbine blades: the significance of droplet slowdown and deformation for leading-edge erosion by N. Barfknecht, D. von Terzi

“…The impact speed of rain droplets is a key driver of the erosion rate; therefore, its precise computation is essential. This study investigates the aerodynamic interaction of rain droplets and wind turbine blades. …”
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An improved beluga whale optimizer-Derived Adaptive multi-channel DeepLabv3+ for semantic segmentation of aerial images. by Anilkumar P, Venugopal P

“…Semantic segmentation process over Remote Sensing images has been regarded as hot research work. …”
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Critical Interculturality and CALL in ELT: A ten-year revision of research in Colombia by Andrés Mauricio Potes-Morales

“…The contents of 91 issues were reviewed to identify articles that addressed one or several of the following issues: English Language Teaching (ELT), Critical Interculturality (CI), and Computer Assisted Language Learning (CALL). The methodology followed the thee-step process proposed by Álvarez Valencia (2014) and some principles from Critical Appraisal Skills Programme (CASP). 99 articles were examined from a total of 791 articles published in a ten-year period in the four Colombian journals. …”
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An improved multiclass classification of acute lymphocytic leukemia using enhanced glowworm swarm optimization by Saranya N, Kalamani M

“…The ultimate goal of this work is to develop a computer aided automatic classification system to classify Benign, Early, Pro-B and Pre-B classes of ALL. …”
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Diet in Patients with Acute Pancreatitis by Ye. Ye. Achkasov, N. M. Fedorovsky, A. V. Pugayev, S. V. Kalachyov

“…The criteria for evaluation of the activities of the pancreas and its inflammatory process activity were considered to be clinical and laboratory parameters (pain, body temperature, hemogram, amylasemia, the degree of dynamic ileus and abdominal inflammatory infiltrate, and the level of gastrointestinal peptides), and ultrasonographic and computed tomographic data. …”
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Modelo De Memoria Usando Red Neuronal De Retropropagación by Ramiro Alejandro Yerovi Vargas

“…The object recognition mechanism was modeled through a computer simulation. The model experiment learning over all 3D space as a dataset, also learn sequentially with each iteration, consequently have an intelligent system (artificial intelligence). …”
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Empowering indigenous women in Guatemala: a case study of the role of Digital Community Centers in enhancing digital literacy and changing gender perspectives in Northern Huehueten... by Nereyda Y. Ortiz Osejo, Susana Arrechea, Alejandro Alvarado

“…These gains enabled participants to reduce travel time for tasks such as processing government documents and to launch small-scale economic initiatives. …”
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