Optimisation of Residual Network Using Data Augmentation and Ensemble Deep Learning for Butterfly Image Classification by Diniati Ruaika, Shofwatul Uyun

“…The research revealed that the proposed method provided better performance with an accuracy of 95%.…”
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Deep transfer learning mechanism for fine-grained cross-domain sentiment classification by Zixuan Cao, Yongmei Zhou, Aimin Yang, Sancheng Peng

“…DTLM provides a transfer mechanism to better transfer sentiment across domains by incorporating BERT(Bidirextional Encoder Representations from Transformers) and KL (Kullback-Leibler) divergence. We introduce BERT as a feature encoder to map the text data of different domains into a shared feature space. …”
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Improving YOLOv11 for marine water quality monitoring and pollution source identification by Fang Wang

“…The results validate the effectiveness of the proposed method in enhancing marine pollution detection, providing a high-performance solution for intelligent environmental monitoring.…”
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AI-Driven Predictive Modeling for Lung Cancer Detection and Management Using Synthetic Data Augmentation and Random Forest Classifier by Nisreen Innab, Asma Aldrees, Dina Abdulaziz AlHammadi, Abeer Hakeem, Muhammad Umer, Shtwai Alsubai, Silvia Trelova, Imran Ashraf

“…The implementation of different classifiers employed data balancing methods including SMOTE and borderline-SMOTE along with SMOTE ENN and unbalanced data configurations. …”
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Flow and Heat Transfer in a Liquid Film over a Permeable Stretching Sheet by R. C. Aziz, I. Hashim, A. K. Alomari

“…The resulting parameter problem and velocity as well as temperature fields are solved using the homotopy analysis method (HAM). Analytic series solutions are given, and numerical results for velocity and the temperature profiles are presented through graphs of different values for pertinent parameter. …”
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Pine wood nematode disease area identification based on multi-temporal multi-source remote sensing images and BIT model by Degao Wang, Zhangyu Sun, Xinxia Huang, Mingzhong Liu, Qingqing Zheng, Huailiang Zhang, Guanghe Zhang

“…Specifically, a specialized model called the bitemporal image transformer (BIT) model is developed and trained using multi-temporal Beijing-2 and Beijing-3 images acquired at different stages of PWN disease. …”
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Advanced Calculation of 96Y Decay Energy Spectra by WANG Xianghan1, HUANG Xiaolong1, YANG Dong2

“…Commonly, researchers employ the γ-γ coincidence method or directly measure with total absorption spectrometer method to obtain data on β decay products. …”

Prognosis of progression of chronic generalised periodontitis in patients with bronchiectatic disease by Artem K. Sarkisov, Vladimir A. Zelenskiy, Ekaterina A. Polunina, Karen A. Sarkisov

“…The method of binary logical regression was used to create a mathematical model for assessing the risk of CGP progression in patients with bronchiectatic disease.Results. …”
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Evaluating Handwritten Answers Using DeepSeek: A Comparative Analysis of Deep Learning-Based Assessment by Sanskar Bansal, Vinay Gupta, Eshita Gupta, Peeyush Garg

“…To check the performance of the proposed DeepSeek evaluation method, we compare its results with cosine similarity metrics. …”
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Alkali Modification and Pyrolysis of Rice Husks for Bioenergy Potential: A Kinetics Study by Vianney Andrew Yiga, Michael Lubwama, Peter Wilberforce Olupot

“…ABSTRACT Rice husks are significantly creating environmental challenges in terms of air pollution because of their unsustainable disposal methods. In this study, pyrolysis of sodium hydroxide (NaOH) alkali‐modified rice husks using thermogravimetric analysis (TGA) was carried out to determine combustion and kinetic parameters at three different heating rates of 20, 40, and 50°C/min for application in biofuels. …”
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Etiopathogenesis and Histogenesis of Ovarian Tumors by Markin L., Besedin O., Isayeva K., Doroshenko-Kravchyk M.

“…Materials and methods. The content analysis, method of systemic and comparative analysis, bibliosemantic method of studying the actual scientific researches concerning the etiology and pathogenesis of ovarian tumors, differing by the histological structure and the course specificity, were conducted. …”
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DCDGAN-STF: A Multiscale Deformable Convolution Distillation GAN for Remote Sensing Image Spatiotemporal Fusion by Yan Zhang, Rongbo Fan, PeiPei Duan, Jinfang Dong, Zhiyong Lei

“…In addition, to address the differences in spatial resolution, we propose a teacher–student correlation distillation method. …”
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Aerodynamic Optimization of Airfoil in Wide Range of Operating Conditions Based on Reinforcement Learning by Yiting Zhang, Jiaqi Luo, Yao Zheng, Yaolong Liu

“…In this paper, we demonstrate the effectiveness and versatility of reinforcement learning (RL)-based optimization methods in enhancing aerodynamic performance for both transonic and supersonic airfoils. …”
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Teacher's emotional labor: conceptualization of the idea and research approaches by Renata Góralska

“…The thesis is that the manner in which a teacher's emotional labor is being conceptualized affects test method and interpretation. The article presents three different manners in which emotional labor may be conceptualized: (1) emotional labor as process of emotion regulation (psychological approach); (2) emotional labor as a work requirement (sociological approach); (3) emotional labor as a transformation and development tool/as a byproductive labor (critical approach). …”
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Spectral, phase, and their interacting components for complexity analysis of depression electroencephalogram by Yuman Luo, Shumei Zhu, Jiaqi Yu, Jie Ding, Zhangyang Xia, Wei Lu, Qiong Wang, Wanyi Yi, Wenpo Yao, Jun Wang

“…In this paper, we propose to apply the fast Fourier transform to the decomposition method to resolve the nonlinear feature differences (total differences, TDs) between task and resting eye-open states and decompose them into spectral terms (STs), phase terms (PTs), and spectral interaction terms (SITs). …”
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Leadership Support and Employee Creativity: A Meta-Analysis by Farid Wajdi

“… Leaders who have transformational, empowerment, and other positive characteristics positively affect the performance of employee creativity. …”
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Stability of Synthesized Brushite in Physiological Media for the Possible Bone-Regenerative Use by Vilma Delgado-Morales, Lizbeth Barragán-Maldonado, Mercedes Salazar-Hernández, Alfonso Talavera-Lopez, Alba N. A. Ardila, Oscar Joaquín Solis-Marcial, Jose A. Hernández

“…Purity was determined by the ash method, giving an average of 73% and 85% in the different tests carried out. …”
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Non-Destructive Identification of Wool and Cashmere Fibers Based on Cascade Optimizations of Interval-Wavelength Selection Using NIR Spectroscopy by Xin Chen, Qingle Lan, Yaolin Zhu, Jinni Chen

“…For this reason, a novel interval-wavelength cascaded optimization method is proposed. Initially, the collected spectral data are preprocessed by standard normal variate transformation (SNV) to eliminate the scattering effect. …”
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Development of students’ subject position in the process of internship in an inclusive school by A. A. Baranov, A. S. Suntsova

“…An important component of a future teacher education is internship in inclusive schools, in the course of which direct interactions with children with different physical and intellectual capabilities actualise own resources of students and acquisition of required skills.The aim of the experimental work presented in this publication is to identify the development factors and characteristics of a student’s subjective position in the process of continuous internship in inclusive education institutions.Methodology and research methods. …”
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Green Synthesized Composite AB-Polybenzimidazole/TiO₂ Membranes with Photocatalytic and Antibacterial Activity by Hristo Penchev, Katerina Zaharieva, Silvia Dimova, Ivelina Tsacheva, Rumyana Eneva, Stephan Engibarov, Irina Lazarkevich, Tsvetelina Paunova-Krasteva, Maria Shipochka, Ralitsa Mladenova, Ognian Dimitrov, Daniela Stoyanova, Irina Stambolova

“…The various methods such as powder X-ray diffraction and Thermogravimetric analyses, X-ray photoelectron spectroscopy, Fourier transform infrared spectroscopy and Energy-dispersive X-ray spectroscopy, Electronic paramagnetic resonance, Scanning Electron Microscopy and Transmission Electron Microscopy have been used to study the phase and surface composition, structure, morphology, and thermal behavior of the synthesized nanocomposite membranes. …”
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