Sentiment analysis of movie reviews: A flask application using CNN with RoBERTa embeddings by Biplov Paneru, Bipul Thapa, Bishwash Paneru

“…In this work, we analyze sentiment in IMDB movie reviews using a hybrid deep learning model combining RoBERTa embeddings with a convolutional neural network (R-CNN). …”
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Deep attributes and decisions fusion for no-reference video quality analysis by Adil Baig

“…This study describes a novel, deep learning-based strategy for NR-VQA that uses several pre-trained deep neural networks to characterize probable image and video distortions across parallel. …”
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Aerobic Exercise Regulates Apoptosis through the PI3K/Akt/GSK-3β Signaling Pathway to Improve Cognitive Impairment in Alzheimer’s Disease Mice by Yan Peng, Rui Chi, Gang Liu, Weijie Tian, Jun Zhang, Rihui Zhang

“…Aerobic exercise (AE) enhances learning and memory, improves cognitive impairment, increases telomere binding protein expression, and decreases apoptosis regulators, but it remains unclear whether it can improve cognitive impairment caused by neuronal apoptosis in AD. …”
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Improving Medical Image Quality Using a Super-Resolution Technique with Attention Mechanism by Dong Yun Lee, Jang Yeop Kim, Soo Young Cho

“…The model uses L1 loss to generate realistic and smooth outputs, outperforming existing deep learning methods in capturing contours and textures. …”
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Integration of medical knowledge into psycho-pedagogical practice by V. Dufynets, T. Shcherban, V. Hoblyk

“…The following advantages of its application are identified: a great improvement of motivation for learning, formation of clinical thinking, skills and competences in education teachers, excellent learning of the required material, professional skills and competences, achievement of successful results in the formation of personal qualities of the student. …”
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Memory and Cerebral Blood Flow in Cases of Transient Global Amnesia During and After the Attack by H. Kazui, H. Tanabe, M. Ikeda, Y. Nakagawa, J. Shiraishi, K. Hashikawa

“…The purpose of the present study was to determine whether procedural learning is acquired during TGA and whether priming effects are preserved during TGA, and to investigate the anatomical basis of various memory subcomponents through these cases. …”
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A SmartPLS4-based CB-SEM confirmatory factor analysis: A case of speaking needs for Chinese business English undergraduates by Ke Hu, Asmaa Alsaqqaf

“…Additionally, there are two learning needs: perceived learning styles and perceived course satisfaction. …”
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Higher Education and the Politics of the Radical Imagination by Henry A Giroux

“…The central issue for this essay is what it might mean for educators to take seriously the notion that democracy should be a way of thinking about education - one that thrives on connecting equity to excellence, learning to ethics, and agency to the imperatives of social responsibility and the public good. …”
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Gender similarities in high school mathematics: affective and cognitive aspects by Negasi Hagos Tekola, Dawit Asrat Getahun, Hailu Hagos

“…The findings can be practically used to realize successful high school mathematics teaching-learning by selecting student outcomes, designing teacher and school manager training programs, and developing curricular materials in line with the findings. …”
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Comparison of Feature Selection and Feature Extraction Role in Dimensionality Reduction of Big Data by Haidar Khalid Malik, Nashaat Jasim Al-Anber, Fuad AbdoEsmail Al- Mekhlafi

“…The importance of Dimensionality Reduction technology lies in several fields, including “data processing, patterns recognition, machine learning, and data mining”. This paper compares two essential methods of dimensionality reduction, Feature Extraction and Feature Selection Which Machine Learning models frequently employ. …”
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Developing English Material for Food and Beverage Service Used by Students at SMKN 1 Singaraja by I Gusti Ayu Ira Krishna Santhi, Nyoman Karina Wedhanti, Made Mahendrayana

“…Thus, it can be a supplementary source for learning English for Food and Beverage Service at SMKN 1 Singaraja. …”
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Decision Tree Ensembles to Predict Coronavirus Disease 2019 Infection: A Comparative Study by Amir Ahmad, Ourooj Safi, Sharaf Malebary, Sami Alesawi, Entisar Alkayal

“…The machine learning algorithms were applied on a Covid-19 dataset based on commonly taken laboratory tests to predict Covid-19 positive cases. …”
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Feature selection in single-cell RNA sequencing data: a comprehensive evaluation by Petros Paplomatas, Konstantinos Lazaros, Georgios N. Dimitrakopoulos, Aristidis Vrahatis

“…We developed the GenesRanking package, which offers 20 techniques for dimensionality reduction, including filter-based and embedding machine learning–based methods. By integrating feature selection methods from both statistics and machine learning, we provide a robust framework for improving data interpretation. …”
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Multi-view Clustering: A Survey by Yan Yang, Hao Wang

“…Multi-view subspace clustering is further divided into subspace learning-based, and non-negative matrix factorization-based methods. …”
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Assessing the Outcomes of Digital Soil Science Curricula for Agricultural Undergraduates in the Global South by Rico Heidy, de la Puente Mario, de Oro Carlos, Navarro Daniela, Lambis Juan, Londoño Guillermo

“…This academic inquiry examines the efficacy of virtual reality (VR)-based pedagogy for higher learning, specifically analyzing immersive digital instruction for rural agriculture undergraduates studying soil science in Colombia. …”
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A system of analysis and prediction of the loss of forging tool material applying artificial neural networks by Hawryluk M., Mrzyglod B.

“…The data used in the learning process come from extensive comprehensive performance tests of forging tools operating under extreme operating conditions (cyclic mechanical and thermal loads). …”
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Towards Transparent Diabetes Prediction: Combining AutoML and Explainable AI for Improved Clinical Insights by Raza Hasan, Vishal Dattana, Salman Mahmood, Saqib Hussain

“…This study integrates Automated Machine Learning (AutoML) with Explainable Artificial Intelligence (XAI) to improve diabetes risk prediction and enhance model interpretability for healthcare professionals. …”
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Detection of cervical cell based on multi-scale spatial information by Gang Li, Xinyu Fan, Chuanyun Xu, Pengfei Lv, Ru Wang, Zihan Ruan, Zheng Zhou, Yang Zhang

“…Abstract Cervical cancer poses a significant health risk to women. Deep learning methods can assist pathologists in quickly screening images of suspected lesion cells, greatly improving the efficiency of cervical cancer screening and diagnosis. …”
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The Effects of Augmented Reality Applications on Secondary Students' Academic Achievement in Science Course by Tarık Talan, Zeynel Abidin Yilmaz, Veli Batdi

“…Students suggested that lowering the cost of AR materials and using them in other lessons can be more effective in learning environment.…”
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Temperature and Humidity Monitoring in Hydroponic Cultivation Based on Internet of Things: Dataset Development for Smart Agriculture by Simon Prananta Barus, Jeriko Ichtus Seo

“…Further research will integrate more monitoring parameters, conduct direct hydroponic cultivation trials, and apply artificial intelligence such as machine learning and deep learning to improve efficiency and effectiveness in hydroponic cultivation.…”
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