RETRACTED: Post COVID green intellectual capital management with the mediation of organizational learning capability by Elena Rostislavovna Schislyaeva, Inna Petrovna Krasovskaya, Kristina Sergeevna Plis

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Machine learning validation of the AVAS classification compared to ultrasound mapping in a multicentre study by Katerina Lawrie, Petr Waldauf, Peter Balaz, Radoslav Bortel, Ricardo Lacerda, Emma Aitken, Krzysztof Letachowicz, Mario D’Oria, Vittorio Di Maso, Pavel Stasko, Antonio Gomes, Joana Fontainhas, Matej Pekar, Alena Srdelic, VAVASC Study Group, Stephen O’Neill

“…Here, AVAS performance was tested against multiple ultrasound mapping measurements using machine learning. A prospective multicentre international study (NCT04796558) with patient recruitment from March 2021-July 2024. …”
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Fault Diagnosis Method for Bearing of High-Speed Train Based on Multitask Deep Learning by Jia Gu, Ming Huang

“…Then, based on the operating condition identification and multitask deep learning, the bearing temperature prediction model is constructed. …”
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The Impact of AI-Generated Instructional Videos on Problem-Based Learning in Science Teacher Education by Nikolaos Pellas

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Rapid maize seed vigor classification using deep learning and hyperspectral imaging techniques by Papis Wongchaisuwat, Pongsan Chakranon, Achitpon Yinpin, Damrongvudhi Onwimol, Kris Wonggasem

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A robust, deep learning-based analysis of time-domain signals for NMR spectroscopy by Kyungdoe Han, Eunhee Kim, Kyoung-Seok Ryu, Donghan Lee

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Victim Verification with the Use of Deep Metric Learning in DVI System Supported by Mobile Application by Zbigniew Piotrowski, Marta Bistroń, Gabriel Jekateryńczuk, Paweł Kaczmarek, Dymitr Pietrow

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Prostate Cancer Detection from MRI Using Efficient Feature Extraction with Transfer Learning by Rafiqul Islam, Al Imran, Md. Fazle Rabbi

“…This research study investigates the utilization of machine learning techniques to diagnose prostate cancer. It emphasizes utilizing deep learning models, namely VGG16, VGG19, ResNet50, and ResNet50V2, to extract relevant features. …”
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Deep Learning Models to Predict Fatal Pneumonia Using Chest X-Ray Images by Satoshi Anai, Junko Hisasue, Yoichi Takaki, Naohiko Hara

“…We created two deep learning models using two publicly available platforms. …”
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Orthogonal Capsule Network with Meta-Reinforcement Learning for Small Sample Hyperspectral Image Classification by Prince Yaw Owusu Amoako, Guo Cao, Boshan Shi, Di Yang, Benedict Boakye Acka

“…To address this issue, we propose an innovative model that combines an orthogonal capsule network with meta-reinforcement learning (OCN-MRL) for small sample HSIC. The OCN-MRL framework employs Meta-RL for feature selection and CapsNet for classification with a small data sample. …”
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Predicting Depression: a comparative study of machine learning approaches based on language usage. by Luciana Mariñelarena-Dondena, Edgardo Ferretti, Manolis Maragoudakis, Maximiliano Sapino, Marcelo Luis Errecalde

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C-POS: A Context-Aware Adaptive Part-of-Speech Language Learning Framework by Shazia Maqsood, Abdul Shahid, Fakhra Nazar, Muhammad Asif, Muhammad Ahmad, Manuel Mazzara

Subjects: “…Traditional learning…”
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Effect of educational content creators on student motivation and learning outcomes in the pandemic COVID-19 by Afni Zahrotulmuna Sya’ro, Eka Puspa Dewi

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Integrating representation learning, permutation, and optimization to detect lineage-related gene expression patterns by Hannah M. Schlüter, Caroline Uhler

“…Here we develop Permutation, Optimization, and Representation learning based single Cell gene Expression and Lineage ANalysis (PORCELAN) to identify lineage-informative genes or subtrees where lineage and expression are tightly coupled. …”
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Intelligent IoT-Based Network Clustering and Camera Distribution Algorithm Using Reinforcement Learning by Islam T. Almalkawi, Rami Halloush, Mohammad F. Al-Hammouri, Alaa Alghazo, Loiy Al-Abed, Mohammad Amra, Ayooub Alsarhan, Sami Aziz Alshammari

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Designing 3D Animated Games as Learning Media For Lontara (Edulontara) Based on Android by Suci Rahma Dani Rachman, Ardimansyah, Baso Arfan Efendy, Riyan Alfian Syarif

“…The background of the research is that learning in schools still uses learning methods that use guidebook media, which causes a lack of interest and attention from students to take part in ongoing learning, for that it is necessary to develop an educational game that can be used as a medium of learning and can motivate students to be interested in study. …”
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Empowering communities through social learning: Enhancing engagement in waste management at Mandiri Kasturi by Fajri Hidayatul, Saputra Boni, Pegi Andre Lofika, Renaldi Irfan, Halawa Historis Soterman, Wahyuni Nila

“…This research explores how community-based approaches and “social learning” can improve community engagement in waste management. …”
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Constructing a fall risk prediction model for hospitalized patients using machine learning by Cheng-Wei Kang, Zhao-Kui Yan, Jia-Liang Tian, Xiao-Bing Pu, Li-Xue Wu

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Comprehensive Evaluation of Bankruptcy Prediction in Taiwanese Firms Using Multiple Machine Learning Models by Hung V. Pham, Tuan Chu, Tuan M. Le, Hieu M. Tran, Huong T.K. Tran, Khanh N. Yen, Son V. T. Dao

“…This study developed an advanced bankruptcy prediction model using Support Vector Machines (SVM), Random Forest (RF), and Artificial Neural Network (ANN) algorithms based on datasets from the UCI machine learning repository. The core contribution of this research is the establishment of a hybrid model that effectively combines multiple machine learning (ML) algorithms with advanced data with the Synthetic minority oversampling technique Tomek (SMOTE Tomek) or SMOTE- Edited Nearest Neighbor (SMOTE-ENN) resampling data technique to improve bankruptcy prediction accuracy. …”
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Advanced machine learning approach with dynamic kernel weighting for accurate electrical load forecasting by C. Jeevakarunya, V. Manikandan

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