Evaluating Machine Learning and Deep Learning models for predicting Wind Turbine power output from environmental factors. by Montaser Abdelsattar, Mohamed A Ismeil, Karim Menoufi, Ahmed AbdelMoety, Ahmed Emad-Eldeen

“…Preprocessing techniques, including feature scaling and parameter tuning, improved model performance by enhancing data consistency and optimizing hyperparameters. …”
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Semantic Segmentation in Satellite Hyperspectral Imagery by Deep Learning by Jon Alvarez Justo, Alexandru Ghita, Daniel Kovac, Joseph L. Garrett, Mariana-Iuliana Georgescu, Jesus Gonzalez-Llorente, Radu Tudor Ionescu, Tor Arne Johansen

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Improved Dual-tree Complex Wavelet Packet Transform with Application to Fault Diagnosis by She Bo, Tian Fuqing, Liang Weige

“…A approach for gearbox fault diagnosis based on the improved dual-tree complex wavelet packet transform and spectral kurtosis is presented,vibration signals of gearbox are decomposed into various frequency band signals,the spectral kurtosis is computed to determine the parameters of band pass filter and got the optimal frequency band. …”
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基于UG的直齿锥齿轮二次开发及误差分析 by 陈立新, 茅兴飞

“…The influence of the differences of the conical involutes and the spherical involutes on the accuracy error of the model of bevel gear is analyzed.The Accuracy of involutes determine that of the gear tooth profile,so the establishment of ideal involutes can ensure the tooth accuracy.In the secondary development environment of UG/NX Grip,using the spherical involute equation and the structural features of the straight tooth bevel gear,a secondary development program of the gear is completed and run successful,By changing the gear basic parameters of the gears though the program of human-computer interaction,the 3D model of the ideal bevel gear can be achieved.…”
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An efficient approach on risk factor prediction related to cardiovascular disease around Kumbakonam, Tamil Nadu, India, using unsupervised machine learning techniques by K Kannan, A Menaga

“…The agglomerative coefficients computed indicate that there is a strong cluster structure in the dataset. …”
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Thematic Content Analysis of Studies Using Generalizability Theory by Gülşen Taşdelen Teker, Neşe Güler

“…While a small subset of studies features mixed design, a largegroup features crossed design, with individuals as the object of measurement.The computer program most commonly used in analyses is EduG. …”
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Characteristics of CoVID-19 in children: the first experience in the hospital of st. Petersburg by E. A. Dondurey, L. N. Isankina, O. I. Afanasyeva, A. V. Titeva, T. V. Vishnevskaya, V. A. Kondrat`ev, I. A. Gryaznova, M. V. Berezina, M. A. Zolotova, V. M. Volzhanin

“…Objective: to identify the clinical, laboratory and epidemiological features of the new coronavirus (CV) infection in the provision of specialized medical care to children in the megalopolis of the Russian Federation. …”
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Letter and Person Recognition in Freeform Air-Writing Using Machine Learning Algorithms by Huseyin Kunt, Zeki Yetgin, Furkan Gozukara, Turgay Celik

“…Air-writing is an emerging form of human-computer interaction that enables text entry through hand movements in the air. …”
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Functional state of the pancreas in adolescents with peptic ulcer of duodenum by I. S. Lembryk

“…The significant differences in indicators of fecal elastase-1 levels in the first and second groups were estimated. Coprogram parameters were not sufficiently informative, and dominant sonographic features included the pancreas head edema and increased echogenicity of the parenchyma with the presence of linear hyperechoic echoes. …”
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Lightweight Pyramidal Multi-Scale Attention Residual Network for Plant Disease Recognition by Wenjie Liu, Guoqing Wu, Han Wang, Fuji Ren

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Double-diffusive mixed convection and entropy generation of Fe3O4-CoFe2O4-water hybrid nanofluid in an enclosure with a heated wavy cylinder by Sharaban Thohura, Md. Mamun Molla

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Low-Illumination Parking Scenario Detection Based on Image Adaptive Enhancement by Xixi Xu, Meiqi Zhang, Hao Tang, Weiye Xu, Bowen Sun, Zhu’an Zheng

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Construction of Holographic Immersion Chamber Based on Multisource Information Fusion and Interactive Virtual Reality Technology by Chunying Wang, Yin Liu

“…With the development of the times, virtual reality technology is a computer simulation system that can create and experience the virtual world. …”
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RETRACTED ARTICLE: Quadratic multiple regression model and spectral relaxation approach for carreau nanofluid inclined magnetized dipole along stagnation point geometry by Sayed M. El Din, Adil Darvesh, Assad Ayub, Tanveer Sajid, Wasim Jamshed, Mohamed R. Eid, Syed M. Hussain, Manuel Sánchez-Chero, Sheda Méndez Ancca, Johana Milagritos Ramírez Cerna, Carmen Luisa Aquije Dapozzo

“…In this study, a few other vital features are attached like the quadratic multiple regression model for Nusselt number evaluation, passive control of nanoparticles, viscus heating thermophoresis, Brownian motion, and mixed convection, etc. …”
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Coal gangue image recognition model based on improved U−Net and top coal caving control by Yong YUAN, Zhenghan QIN, Yongqi XIA, Rang WU, Libao LI, Yong LI

“…The results substantiate that the FPN−ASPP−U−Net model delivers superior performance in coal gangue image segmentation, while also maintaining the lowest overall computational parameter count. This model demonstrates a well-balanced compromise between segmentation accuracy and computational efficiency, thereby optimizing both precision and processing speed in practical scenarios. …”
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Latest Advancements in Credit Risk Assessment with Machine Learning and Deep Learning Techniques by Soni Umangbhai, Jethava Gordhan, Ganatra Amit

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Machine learning model for random forest acute oral toxicity prediction by A.M. Elsayad, M.M. Zeghid, K.A. Elsayad, A.N. Khan, ِA.K.M. Baareh, A. Sadiq, S.A. Mukhtar, H.F. Ali, S. Abd El-kader

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Prediction of Gait Neurodegenerative Diseases by Variational Mode Decomposition Using Machine Learning Algorithms by P. Visvanathan, P.M. Durai Raj Vincent

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LSTA-CNN: A Lightweight Spatiotemporal Attention-Based Convolutional Neural Network for ASD Diagnosis Using EEG by Jing Li, Xiangwei Jia, Xinghan Chen, Gongfa Li, Gaoxiang Ouyang

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Hybridization of deep learning models with crested porcupine optimizer algorithm-based cybersecurity detection on industrial IoT for smart city environments by Sarah A. Alzakari, Mohammed Aljebreen, Mashael M. Asiri, Wahida MANSOURI, Sultan Alahmari, Mohammed Alqahtani, Shaymaa Sorour, Wafi Bedewi

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