A Comparative Study of Machine Learning Techniques for Predicting Mechanical Properties of Fused Deposition Modelling (FDM)-Based 3D-Printed Wood/PLA Biocomposite by Prashant Anerao, Atul Kulkarni, Yashwant Munde, Namrate Kharate

“…The dataset has been carefully prepared to facilitate machine learning for both training and testing, and it contains the experimental results and associated process parameters. Four distinct machine learning algorithms have been selected for predictive modeling: Linear Regression, Support Vector Machine (SVM), eXtreme Gradient Boosting (XGBoost), and Adaptive Boosting (AdaBoost). …”
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An EfficientNet integrated ResNet deep network and explainable AI for breast lesion classification from ultrasound images by Kiran Jabeen, Muhammad Attique Khan, Ameer Hamza, Hussain Mobarak Albarakati, Shrooq Alsenan, Usman Tariq, Isaac Ofori

“…In the end, the selection algorithm is applied again to the fused feature vector and classified using machine learning algorithms. …”
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SCIENTIFIC PARADIGM SHIFT AS THE BACKGROUND OF LANGUAGE EDUCATION by V. D. Tabanakova

“…At a time of global changes in domestic higher education the linguistic education is considered to be a display of the convergence process of natural sciences, technology and humanities. …”
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Research on the Simulation Model of Dynamic Shape for Forest Fire Burned Area Based on Grid Paths from Satellite Remote Sensing Images by Xintao Ling, Gui Zhang, Ying Zheng, Huashun Xiao, Yongke Yang, Fang Zhou, Xin Wu

“…Accurately simulating and predicting this dynamic process can provide a scientific basis for forest fire control and suppression decisions. …”
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About the Usage of the Augmented Reality Technology in Mathematics and Physics Learning by Yu. Yu. Dyulicheva

“…The disadvantages of the augmented reality applications include their narrow focus on studying of specific process, phenomenon or concept. The results of research can be applied in the educational process for mathematics and physics learning in order to increase the motivation and interest of students.…”
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Political Aspect of the Institute of Extradition in PostSoviet Space by Vlasta L. Goricheva, Olga V. Levashova

“…Globalization, as a socio-political phenomenon, has the greatest impact on extradition having complicated and modified the process making it responds to current challenges on the part of society. …”
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Intelligent identification method of origin for Alismatis Rhizoma based on image and machine learning by Wenqi Zhao, Zongyi Zhao, Wen Zheng, Zimin Wang, Gaoting Yang, Zhiqiong Lan, Xiaoli Pan, Min Li

“…Four commonly used classification models Random Forest (RF), Extreme Learning Machine (ELM), Back Propagation (BP) neural network, and Support Vector Machines (SVM) were tested to find the optimal combination of AR fusion features and classification models. …”
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DEVELOPMENT OF A NOVEL REVERSED-PHASE HIGH-PERFORMANCE LIQUID CHROMATOGRAPHY METHOD FOR THE DETERMINATION OF SODIUM DITHIONITE IN BREAD PRODUCTS by SHAHIN SHAHBAZI, FOROUGH SARAEE, NASER ABBASI, ELAHE KARIMI, HORI GHANEIALVAR, MAHMOUD BAHMANI, ALI AIDY, SAJAD MAZLOOMI, MASOUMEH TAHMASEBI, ASADOLLAH JALALI GHALOUSANGH

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Machine learning and response surface methodology forecasting comparison for improved spray dry scrubber performance with brine sludge-derived sorbent by B.J. Chepkonga, L. Koech, R.S. Makomere, H.L. Rutto

“…A quadratic model correlating the process variables with desulfurization efficiency was developed, yielding an R-squared value of 93.47%. …”
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National standards of pharmaceutical education in the context of reforming legislation of higher education by І. M. Alieksieieva

“…Socially significant steps of Ukraine in the issue of European integration are measures to reform the legislation on higher education in the context of the Bologna process, namely: the adoption of the National Qualifications Framework and the new edition of the Law of Ukraine "On Higher Education." …”
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A big data analysis algorithm for massive sensor medical images by Sarah A. Alzakari, Nuha Alruwais, Shaymaa Sorour, Shouki A. Ebad, Asma Abbas Hassan Elnour, Ahmed Sayed

“…We infer the extraction, feature selection, attack detection, and data collection and processing procedures to anticipate anomaly inpatient data. …”
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The incidence of COVID-19 medical workers. The issues of biosafety and occupational risk factors by T. A. Platonova, A. A. Golubkova, A. V. Tutelyan, S. S. Smirnova

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Mo.Se.: Mosaic image segmentation based on deep cascading learning by Andrea Felicetti, Marina Paolanti, Primo Zingaretti, Roberto Pierdicca, Eva Savina Malinverni

“…The automatic segmentation process was tested with the high-resolution orthoimage of an ancient mosaic by following a close-range photogrammetry procedure. …”
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Assessment of Optical Properties and Monte Carlo-Based Simulation of Light Propagation in Blackhearted Potatoes by Yalin Guo, Yakai He, Xilong Li, Zhiming Guo, Mengyao Zhang, Xiaomei Huang, Zhiyou Zhu, Huabin Jian, Zhilong Du, Huangzhen Lv

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Rotor Location During Atrial Fibrillation: A Framework Based on Data Fusion and Information Quality by Miguel A. Becerra, Diego H. Peluffo-Ordoñez, Johana Vela, Cristian Mejía, Juan P. Ugarte, Catalina Tobón

“…However, the typical noise problems of physiological signals affect the results of EGM processing tools, and consequently the ablation outcome. …”
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Advanced Deep Learning Fusion Model for Early Multi-Classification of Lung and Colon Cancer Using Histopathological Images by A. A. Abd El-Aziz, Mahmood A. Mahmood, Sameh Abd El-Ghany

“…To address this, the proposed model utilizes a concatenate layer to merge the pre-trained individual feature vectors from ResNet-101V2, NASNetMobile, and EfficientNet-B0 into a single feature vector, which is then fine-tuned. …”
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On-Chip Age Estimation Using Machine Learning by Turki Alnuayri, Saqib Khursheed, Daniele Rossi

“…The machine learning (ML) algorithm of support vector regression (SVR) is adapted for this application, using a training process that involves operating temperature, <inline-formula> <tex-math notation="LaTeX">$\tau _{dv}$ </tex-math></inline-formula>, f, aging time and inter-die and intra-die process variation (PV). …”
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A New Breast Cancer Discovery Strategy: A Combined Outlier Rejection Technique and an Ensemble Classification Method by Shereen H. Ali, Mohamed Shehata

“…The P²S in the BCD strategy indicates that data normalization is a pre-processing approach used to find numeric values in the datasets that fall into a predetermined range. …”
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The Holy See’s Contemporary Foreign Policy: Origins, Methods, Instruments by E. O. Shebalina

“…In this essay, the author made an attempt to study the origins, functions and vectors of papal diplomacy, focusing on its transformation in the conditions of the modern political system, to analyze the main social principles on which the foreign policy of the Holy See is based; to fi nd out what methods are used by the state to promote Christian moral values in global politics. …”
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On the Readability of Kernel-based Deep Learning Models in Semantic Role Labeling Tasks over Multiple Languages by Daniele Rossini, Danilo Croce, Roberto Basili

“…Sentence embeddings are effective input vectors for the neural learning of a number of inferences about content and meaning. …”
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