Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks by Haoming Zhang, Yue Qi, Xiaoting Xue, Yahui Nan

“…For ancient stone inscriptions, we should obtain more perfect digital results without multiple types of noise, while there are few deep learning methods designed for processing stone inscription images. …”
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Representing groups of students as personas: A systematic review of persona creation, application, and trends in the educational domain by Ali Farooq, Amani Alabed, Pilira Stella Msefula, Reham AL Tamime, Joni Salminen, Soon-gyo Jung, Bernard J. Jansen

“…Predominantly featured in educational conferences, student personas were employed to (1) understand user needs, goals, and behaviors, (2) support the design and development of learning systems, (3) enhance teaching and learning practices, (4) facilitate persona-based roleplaying, and (5) promote diversity, inclusivity, and accessibility. …”
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Ensemble Classification Model With CFS-IGWO–Based Feature Selection for Cancer Detection Using Microarray Data by Pinakshi Panda, Sukant Kishoro Bisoy, Sandeep Kautish, Reyaz Ahmad, Asma Irshad, Nadeem Sarwar

“…Cancer is the top cause of death worldwide, and machine learning (ML) has made an indelible mark on the field of early cancer detection, thereby lowering the death toll. …”
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XTNSR: Xception-based transformer network for single image super resolution by Jagrati Talreja, Supavadee Aramvith, Takao Onoye

“…Abstract Single image super resolution has significantly advanced by utilizing transformers-based deep learning algorithms. However, challenges still need to be addressed in handling grid-like image patches with higher computational demands and addressing issues like over-smoothing in visual patches. …”
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Virtual Healthcare Center for COVID-19 Patient Detection Based on Artificial Intelligence Approaches by Seifeddine Messaoud, Soulef Bouaafia, Amna Maraoui, Lazhar Khriji, Ahmed Chiheb Ammari, Mohsen Machhout

“…However, technological tests based on deep learning techniques and medical images could be useful in fighting this pandemic. …”
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Dynamic Neuro-Cognitive Imagery Improves Mental Imagery Ability, Disease Severity, and Motor and Cognitive Functions in People with Parkinson’s Disease by Amit Abraham, Ariel Hart, Isaac Andrade, Madeleine E. Hackney

“…Future studies should explore the effect of DNI on motor learning and control strategies.…”
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The Use of Neural Networks in the Diagnosis of Heart Failure Via the Analysis of Medical Data by Valentino Blanco, Aitana Iglesias

“…The three models, namely "k-means, support vector machine, and neural network," are extensively used classification methods in the domains of data mining and machine learning. These models have been applied to forecast cardiac disease, and their predictive performance has been evaluated and compared. …”
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Mindfulness, Emotional Intelligence, and Gender as Predictors of Academic Motivation in High School Students by Ghanisa Anggit Askara, Rahman Pranovri Putra, Herwin Herwin, Deo Alfa Rizky

“…Academic motivation plays a very important role in the student's learning process, influencing various aspects of development. …”
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Modelling Customs Revenue in Ghana Using Novel Time Series Methods by Diana Ayorkor Agbenyega, John Andoh, Samuel Iddi, Louis Asiedu

“…Generally, the machine learning models (NNAR (1, 3) and BSTS) outperformed the traditional time series models (ARIMA and ARIMAX models). …”
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Functional feature extraction and validation from twelve-lead electrocardiograms to identify atrial fibrillation by Wei Yang, Rajat Deo, Wensheng Guo

“…Abstract Background Deep learning methods on standard, 12-lead electrocardiograms (ECG) have resulted in the ability to identify individuals at high-risk for the development of atrial fibrillation. …”
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Edge and texture aware image denoising using median noise residue U-net with hand-crafted features by Soniya S., Sriharipriya K. C.

“…Although fully convolution neural networks (CNN) are capable of removing the noise using kernel filters and automatic extraction of features, it has failed to reconstruct the images for higher values of noise standard deviation. Additionally, deep learning models require a huge database to learn better from the inputs. …”
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Research trends and network approach of critical thinking skills in English Language Teaching – A bibliometric analysis implementing R studio by M.P. Arthi, S.N.S. Gandhimathi

“…In recent years, it has become important to combine this skill with other skills such as language learning, creativity, problem-solving, decision making, and reflective thinking. …”
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Digital Core Modeling Based on Pretrained Generative Adversarial Neural Networks by Qing Zhang, Benqiang Wang, Xusheng Liang, Yizhen Li, Feng He, Yuexiang Hao

“…With the development of deep learning technology, a variety of deep learning algorithms have been applied to digital core modeling. …”
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Rede Neural Fuzzy Autoexpansível baseada na Teoria da Ressonância Adaptativa para detecção de sites de Phishing by Gustavo Henrique Santiago da Silva, Reginaldo José da Silva, Angela Leite Moreno

“…Consequentemente, abordagens utilizando Machine Learning vem sendo amplamente propostas, pois apresentam a capacidade de detectar Phishing em tempo real e com performance. …”
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A digital twin framework with MobileNetV2 for damage detection in slab structures by Huong Duong Nguyen, Huan Nguyen, Xiaohong Gao

“…MobileNetV2 uses transfer learning can reduce the number of trained parameters and hence perform fast convergence. …”
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Unsupervised Hyperspectral Denoising Based on Deep Image Prior and Least Favorable Distribution by Keivan Faghih Niresi, Chong-Yung Chi

“…Recently, it has been shown that deep learning is a promising approach to image denoising. …”
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The good, bad, and ugly of comment prompts: Effects on length and helpfulness of peer feedback by Huifeng Mu, Christian D. Schunn

“…Abstract Peer feedback can be highly effective for learning, but only when students give detailed and helpful feedback. …”
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Issues of education management in modern conditions by I. I. Kokhanovskaya, E. E. Naumov, A. L. Fatykhova

“…With the development of modern information technologies, automated systems for managing the learning process and measuring the educational level of students are becoming increasingly popular: automatic assessment of knowledge, monitoring of parameters characterizing the final result of the learning material.Information technology is currently acting as a technical means of addressing key issues in the development of new socio-economic relations in the society. …”
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Effect of Supervision on Employee Performance in Uganda: A Case Study of Shuuku Savings Cooperative SACCO in Sheema District. by Ayesiime, Peninah

“…The research findings show that Supervision also helps administrators in learning on new ways of how to do things, supervision helps in providing a gap within the employee performance, and therefore after that gap has been realised it will promote learning in the SACCO. …”
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Innovative Teaching Strategies and Performance of Agriculture Subject in Uganda’s Secondary Schools: A Case Study of Kabale Municipality. by Byomuhangi, Nelson

“…The study revealed that out of the strategies such as tours and trips, the use of demonstrations in class and transferring theory into practice made the learning of agriculture subjects attractive and interesting for learners. …”
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