Neural decoding reveals dynamic patterns of visual chunk memory processes by Chantat Leong, Fei Gao, Zhen Yuan

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Beyond the Classroom Walls: Metacognitive awareness in traditional and online setting by Radka Miháliková

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Mobile language app learners’ self-efficacy increases after using generative AI by Audrey K. Kittredge, Elise W. M. Hopman, Ben Reuveni, Danielle Dionne, Cassie Freeman, Xiangying Jiang

Subjects: “…language learning…”
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A multi-task model for failure identification and GPS assessment in metro trains by Pratik Vinayak Jadhav, Sairam V. A, Siddharth Sonkavade, Shivali Amit Wagle, Preksha Pareek, Ketan Kotecha, Tanupriya Choudhury

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Hybrid learning strategies: integrating supervised and reinforcement techniques for railway wheel wear management with limited measurement data by Jessada Sresakoolchai, Chayut Ngamkhanong, Sakdirat Kaewunruen

Subjects: “…hybrid learning strategies…”
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Editorial: ChatGPT and other generative AI tools by Stefan Küchemann, Martina Rau, Knut Neumann, Jochen Kuhn

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Transformation of Higher Education During the Pandemic: Pain Points by I. R. Gafurov, H. I. Ibragimov, A. M. Kalimullin, T. B. Alishev

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Machine learning approach for predicting tramp elements in the basic oxygen furnace based on the compiled steel scrap mix by Michael Schäfer, Ulrike Faltings, Björn Glaser

“…In this paper, we present a machine learning approach based on XGBoost to predict the chemical element content in the converter. …”
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Machine learning models for predicting interaction affinity energy between human serum proteins and hemodialysis membrane materials by Simin Nazari, Amira Abdelrasoul

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Prediction of COVID-19 Pandemic in Bangladesh: Dual Application of Susceptible-Infective-Recovered (SIR) and Machine Learning Approach by Iqramul Haq, Md. Ismail Hossain, Ahmed Abdus Saleh Saleheen, Md. Iqbal Hossain Nayan, Mafruha Sultana Mila

“…Here we compare the results of the optimized SIR model and a well-known machine learning algorithm (PROPHET algorithm) for the forecasting trend of the COVID-19 pandemic. …”
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Automatic cervical lymph nodes detection and segmentation in heterogeneous computed tomography images using deep transfer learning by Wenjun Liao, Xiangde Luo, Lu Li, Jinfeng Xu, Yuan He, Hui Huang, Shichuan Zhang

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Cloud-Based Framework for COVID-19 Detection through Feature Fusion with Bootstrap Aggregated Extreme Learning Machine by Amjad Rehman Khan, Tanzila Saba, Tariq Sadad, Seng-phil Hong

“…Cloud-based environment for machine learning plays a vital role in medical imaging analysis and predominantly for the people residing in rural areas where health facilities are insufficient. …”
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Contrast quality control for segmentation task based on deep learning models—Application to stroke lesion in CT imaging by Juliette Moreau, Juliette Moreau, Laura Mechtouff, Laura Mechtouff, David Rousseau, Omer Faruk Eker, Omer Faruk Eker, Yves Berthezene, Yves Berthezene, Tae-Hee Cho, Tae-Hee Cho, Carole Frindel, Carole Frindel

Subjects: “…deep learning…”
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REVOLUTIONIZING LUXURY: THE ROLE OF AI AND MACHINE LEARNING IN ENHANCING MARKETING STRATEGIES WITHIN THE TOURISM AND HOSPITALITY LUXURY SECTORS by Maria Nascimento CUNHA, Manuel PEREIRA, António CARDOSO, Jorge FIGUEIREDO, Isabel OLIVEIRA

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Wedged Sensor in Distress? Lessons Learned from Troubleshooting Dampened Transmitted PA Waveforms of CardioMEMS Device by Robby Singh, Santo Scarfone, Marcel Zughaib

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Retracted: An Efficient and Reliable Routing Method for Hybrid Mobile Ad Hoc Networks Using Deep Reinforcement Learning by Applied Bionics and Biomechanics

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[18F]FDG PET-Based Radiomics and Machine Learning for the Assessment of Gliomas and Glioblastomas: A Systematic Review by Francesco Dondi, Roberto Gatta, Maria Gazzilli, Pietro Bellini, Gian Luca Viganò, Cristina Ferrari, Antonio Rosario Pisani, Giuseppe Rubini, Francesco Bertagna

“…The aim of this systematic review was to assess the role of [18F]FDG PET-based radiomics and machine learning (ML) in the evaluation of these neoplasms. …”
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Deep learning based analysis of G3BP1 protein expression to predict the prognosis of nasopharyngeal carcinoma. by Linshan Zhou, Mu Yang, Jiadi Luo, Hongjing Zang, Songqing Fan, Yuting Zhan

“…<h4>Results</h4>The G3BP1 molecular marker scoring model was successfully established utilizing deep learning methodologies, with a calculated threshold staining scores of 1.5. …”
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Retracted: Implementing the Hybrid Neuro-Fuzzy System to Model Specific Learning Disability in Special University Education Programs by Journal of Mathematics

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Using ChatGPT for academic support: Managing cognitive load and enhancing learning efficiency – A phenomenological approach by Louida P. Patac, Adriano V. Patac, Jr.

“…These findings underline that the level of AI assistance must be balanced against independent learning and critical evaluation.…”
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