Evaluating CNN Architectures and Hyperparameter Tuning for Enhanced Lung Cancer Detection Using Transfer Learning by Mohd Munazzer Ansari, Shailendra Kumar, Umair Tariq, Md Belal Bin Heyat, Faijan Akhtar, Mohd Ammar Bin Hayat, Eram Sayeed, Saba Parveen, Dustin Pomary

“…This study highlights the effectiveness of transfer learning, particularly DenseNet-201, in enhancing automated lung cancer detection systems. …”
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Current Issues in Implementing Project-Based Learning in Higher School (The Materials of the Round-Table Discussion) by M. V. Pevnaya, L. N. Boronina, A. V. Kulminskaia

Subjects: “…project-based learning…”
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Promoting Shared Metacognition in Online Learning: The Practices of Distributed Teaching Presence and the Relationships to Cognitive Presence by Ye Chen, Lixuan Chen

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A scientometric review of the relationship between learning agility and work engagement in modern management context by Farira Nareswari, Rini Juni Astuti

Subjects: “…Learning agility…”
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Retracted: Assessing Deep Learning Techniques for the Recognition of Tropical Disease in Images from Parasitological Exams by Bioinorganic Chemistry and Applications

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Interpretable machine learning and radiomics in hip MRI diagnostics: comparing ONFH and OA predictions to experts by Tariq Alkhatatbeh, Ahmad Alkhatatbeh, Qin Guo, Jiechen Chen, Jidong Song, Xingru Qin, Wang Wei

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The Effectiveness of Self-instruction training on Executive Functions and Cognitive Inhibition of Students with Special Learning Disorder by Mahmood Jabarzadeh Chaharbrod, Mansoor Beyrami, Asghar Nokhestin Goldost, Tooraj HAshemi

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Effects of Error Modulation-Based Visual and Haptic Feedback Fusion Strategies on Motor Learning and Motivation by Jingyan Meng, Na Li, Yang Hu, Dazheng Zhao, Guoning Li, Jingyan Hu, Tao Song, Yehao Ma, Rongzhen Fu, Guokun Zuo, Liang Tao, Min Tang, Yunfeng Liu, Changcheng Shi

“…The VRHA fusion strategy significantly improved the subjects’ motor learning and transfer ability, decreased muscle activation, and increased motor learning motivation. …”
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Fault Prediction and Recovery Using Machine Learning Techniques and the HTM Algorithm in Vehicular Network Environment by Salah Zidi, Bechir Alaya, Tarek Moulahi, Amal Al-Shargabi, Salim El Khediri

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Deep Learning-Enabled Variational Optimization Method for Image Dehazing in Maritime Intelligent Transportation Systems by Xianjun Hu, Jing Wang, Chunlei Zhang, Yishuo Tong

“…To further enhance dehazing performance, the solutions of subproblems obtained in this optimization algorithm are equivalent to deep learning-based image denoising. Due to the powerful representation ability, the proposed method can accurately and robustly estimate the transmission map and latent sharp image. …”
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Feature Extraction of Broken Glass Cracks in Road Traffic Accident Site Based on Deep Learning by Shuai Liang

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Machine Learning-Driven Resilient Modulus Prediction for Flexible Pavements Across Mountainous and Other Regions by Rauf Ayesha, Asif Usama, Javed Muhammad Faisal

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Testing convolutional neural network based deep learning systems: a statistical metamorphic approach by Faqeer ur Rehman, Clemente Izurieta

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Optimized deep learning model with integrated spectrum focus transformer for pavement distress recognition and classification by Wenlin Wu, Fenghua Zhu, Zheng Li, Xue Li, Xiaowei Li, Jinwen Wang

“…Subsequently, frequency information and images are learned and weighted in the frequency domain, thereby enhancing the capability to capture pavement distress regions. …”
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Enhanced Forecasting and Assessment of Urban Air Quality by an Automated Machine Learning System: The AI‐Air by Jiayu Yang, Huabing Ke, Sunling Gong, Yaqiang Wang, Lei Zhang, Chunhong Zhou, Jingyue Mo, Yan You

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Machine learning-based anomaly detection and prediction in commercial aircraft using autonomous surveillance data. by Tian Xia, Lanju Zhou, Khalil Ahmad

“…The creation of a machine learning model employing data from autonomous-reliant surveillance transmissions is essential for the detection and prediction of commercial aircraft accidents. …”
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Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction by Zhibo Wang, Xin Chen, Xi Tan, Lingfeng Yang, Kartik Kannapur, Justin L. Vincent, Garin N. Kessler, Boshu Ru, Mei Yang

“…**Background:** Deep Learning (DL) has not been well-established as a method to identify high-risk patients among patients with heart failure (HF). …”
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Distributed secondary control for DC microgrids using two-stage multi-agent reinforcement learning by Fei Li, Weifei Tu, Yun Zhou, Heng Li, Feng Zhou, Weirong Liu, Chao Hu

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An Output-Recurrent-Neural-Network-Based Iterative Learning Control for Unknown Nonlinear Dynamic Plants by Ying-Chung Wang, Chiang-Ju Chien

“…Two ORNNs are employed to design the learning control structure. The first ORNN, which is called the output recurrent neural controller (ORNC), is used as an iterative learning controller to achieve the learning control objective. …”
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Enhancement of students’ mathematical connection through Knisley mathematics learning model assisted by GeoGebra by Atina Rahmah Ichtiari, Dahlia Fisher, Taufik Rahman, Siti Ainor Mohd Yatim

Subjects: “…knisley's mathematics learning model…”
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