Classification of diabetic retinopathy stages based on neural networks by M. M. Lukashevich, Y. I. Golub

“…Diabetic retinopathy can be detected much faster and more accurately by using machine learning methods for image analyzing of the human retina. …”
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Intelligent Diagnosis of Rolling Bearing Fault Based on Improved Convolutional Neural Network and LightGBM by Yanwei Xu, Weiwei Cai, Liuyang Wang, Tancheng Xie

“…Aiming at the problems of weak generalization ability and long training time in most fault diagnosis models based on deep learning, such as support vector machines and random forest algorithms, one intelligent diagnosis method of rolling bearing fault based on the improved convolution neural network and light gradient boosting machine is proposed. …”
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A Two-Layer Architecture for Failure Prediction Based on High-Dimension Monitoring Sequences by Xue Wang, Fan Liu, Yixin Feng, Jiabao Zhao

“…Generally speaking, in the first layer, we make use of EXPoSE anomaly detection technique to derive anomaly scores in constant time which are then used as input data for ensemble learning in the second layer. Experiments are conducted on the data provided by one of the largest security companies, and the results demonstrate the predictability of the proposed approach.…”
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Que pensent et disent des adolescents sur la pratique de la philosophie et ses apports? by Anda Fournel, Mathieu Gagnon, Olivier Michaud, Jean-Pascal Simon

“…What is philosophy for them? What benefits and learning do they perceive from it, both in school and in life in general? …”
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Optimization in Construction Management Using Adaptive Opposition Slime Mould Algorithm by Pham Vu Hong Son, Luu Ngoc Quynh Khoi

“…The purpose of this research study is to solve a four-objective optimization problem in the construction industry using a hybrid model that combines the slime mould algorithm (SMA) with opposition-based learning. This hybrid model is known as the adaptive opposition slime mould algorithm (AOSMA). …”
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The Power of Words: A Study of How Search Contents Can Affect Financial Decisions by Du Ni, Xingzhi Li, Zhi Xiao, Ke Gong

“…Therefore, this study was carried out to analyze the emotional meanings of 13,915 English words obtained from Google Trends and the profits gained from the US house market by automatic transactions and discovered that the emotional meanings of the search contents could modulate the financial decision with unsupervised machine learning methods.…”
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The struggle and enrichment of play: Domestications and overflows in the everyday life of gamer parents by Ask Kristine, Sørenssen Ingvild Kvale, Moltubakk Stine Thordarson

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The Effect of Reflective Thinking Based Practices on Retention Scores: A Mixed-Meta Method by Emrah Cinkara, Cihan Salma, Veli Batdi

“…The meta-thematic analysis, which included content analysis of 13, revealed the following four themes: contribution of reflective thinking practices to the learning process, benefits for students, obstacles associated with these practices, and suggested solutions to overcome them. …”
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Lighting the way forward: The bright future of photonic integrated circuits by M.A. Butt, B. Janaszek, R. Piramidowicz

“…Its synergy with quantum information and machine learning opens innovation pathways. This review explores recent advancements in optical platforms, highlighting ongoing research and developments that are driving technological progress in this field. …”
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The role played by gender, household income and age in factors contributing to consumers’ attitudes towards short message service advertisements by Michael Humbani, Yolanda Jordaan

“…A convenience sample was drawn from staff and students of three private institutions of higher learning. The findings indicate that gender, household income and age tend to affect consumers’ attitudes towards SMS advertisements. …”
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APPLICATION OF CDIO APPROACH TO MSC AND PHD ENGINEERING PROGRAMS by A. I. Chuchalin, N. V. Daneikina

“…The paper presents two-level lists of intended learning outcomes in the MSc’s programs (FCDI Syllabus v1) and PhD programs (FFCD Syllabus v1) on the analogy with the CDIO Syllabus v2 for graduates of basic engineering education programs based on the analysis of generalized requirements of national and international standards for competences acquired by graduates of Master’s degree programs (MSc-programs) and postgraduate programs (PhDprograms) in the field of engineering, technology and technical sciences, taking into account the expert opinion of specific features and priority directions in innovation and research engineering activity. …”
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A Weighted Voting Classifier Based on Differential Evolution by Yong Zhang, Hongrui Zhang, Jing Cai, Binbin Yang

“…Ensemble learning is to employ multiple individual classifiers and combine their predictions, which could achieve better performance than a single classifier. …”
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Corrigendum / Erratum / Retraction by Yanmi A

“…RETRACTION TO: Yanmi, A. (2019). Improved thematic learning outcomes used the STAD type cooperative model. …”
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Evaluation of post-education and training to determine alumni performance quality by Nia Kurniawati

“…Education and training are structured and planned actions or processes with the aim of forming an optimal learning environment. The purpose of this article is to increase understanding of post-education and training evaluation and the importance of seeing the quality of education and training alumni on an ongoing basis. …”
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Acuphagia on the Obsessive-Compulsive Spectrum in an Adolescent Male by William Butler, Luis Allen

“…He was admitted from a local involuntary receiving facility due to decreased bowel movements in the last week. Learning points and recommendations for practitioners are described.…”
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Classifying the CP properties of the ggH coupling in H + 2j production by Henning Bahl, Elina Fuchs, Marc Hannig, Marco Menen

“…To improve the constraints on the $\mathcal{CP}$ structure of this coupling, we investigate Higgs production with two jets using machine learning. In particular, we exploit the $\mathcal{CP}$ sensitivity of the so far neglected phase space region that differs from the typical vector boson fusion-like kinematics. …”
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THE EFFECT OF USING MNEMONIC TECHNIQUE TOWARD STUDENTS’ VOCABULARY MASTERY AT GRADE XII-SCIENCE STUDENTS OF SMAN 9 KOTA BENGKULU by LIZA OKTARINI, BAMBANG SUWARNO, I WAYAN Dharmayana

“…The experiment class was taught by Mnemonic technique, while the control class by contextual learning. In the pre test there was no significant difference in mastery between the experiment class (mean=71,18) and control class (mean=68) with t count (0,1)< t table (df=62 sig 0,05). …”
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Comparing ChatGPT And LSTM In Predicting Changes In Quarterly Financial Metrics by Vitali Chaiko

“…In recent years, machine learning has emerged as a powerful tool for such predictions. …”
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Fundamentals of the Development of Managerial Competence of Specialized Personnel by Ismailova Zukhra, Mustafoeva Durdona, Mamatalieva Mokhinur

“…Additionally, the author emphasizes the importance of aligning educational practices with global trends, ensuring quality and accessibility, and fostering a more dynamic, student-centered learning environment. By integrating these innovations, institutions can better respond to the evolving needs of society and the labor market, preparing students with the skills and knowledge necessary for success in the modern world.…”
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Intimità sacra e nuove appartenenze nella devozione dei Mauriziani induisti a Santa Rosalia (Palermo) by Eugenio Giorgianni

“…Migrant subjects incorporate Catholic ritual gestures and symbols in their votive dialogue with Santa Rosalia, establishing an emotional and spiritual connection with the city of Palermo through the sacred space of Monte Pellegrino, while demanding miracles from her deity to facilitate processes such as learning the Italian language and aspiring for greater social mobility. …”
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