A microscopic public transportation simulation framework based on machine learning by Younes Delhoum, Olivier Cardin, Maroua Nouiri, Mounira Harzallah

“…It also aims to propose a two-step validation framework that exhibits the performance of the obtained model on a case study based on actual data. …”
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Accelerating the Discovery of Steady‐States of Planetary Interior Dynamics With Machine Learning by Siddhant Agarwal, Nicola Tosi, Christian Hüttig, David S. Greenberg, Ali Can Bekar

“…These can then be used to initialize numerical time‐stepping methods for different simulation parameters. …”
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Correlation-Based Knowledge Distillation in Exemplar-Free Class-Incremental Learning by Zijian Gao, Bo Liu, Kele Xu, Xinjun Mao, Huaimin Wang

“…Class-incremental learning (CIL) aims to learn a family of classes incrementally with data available in order rather than training all data at once. …”
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Learning interventions and training methods in health emergencies: A scoping review. by Heini Utunen, Giselle Balaciano, Elham Arabi, Anna Tokar, Aphaluck Bhatiasevi, Jane Noyes

“…<h4>Conclusion</h4>This is the first scoping review to map the evidence, which serves as a first step in developing urgently needed global guidance to further improve the quality and reach of learning interventions and training methods in this context.…”
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Resilience in the Vaccine Supply Chain: Learning from the COVID-19 Pandemic by Megan Hay, Anika Teichert, Sarah Kilz, Agnes Vosen

“…The interviews were assessed concerning the learnings from the pandemic in a two-step content analysis. …”
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Grid Integration of PV Systems With Advanced Control and Machine Learning Strategies by Venkata Reddy Kota, Bapayya Naidu Kommula, Asif Afzal, Mohammad Asif, Liew Tze Hui

“…To further improve the efficiency and accuracy of system, current produced by inverter is subjected to Discrete Wavelet Transform (DWT) analysis followed by Principal Component Analysis (PCA) for feature extraction. The final step involves implementation of Recurrent Neural Network (RNN) controller, enabling the generation of a refined reference current. …”
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Satellite-Based Detection of Farmland Manuring Using Machine Learning Approaches by David Marzi, Fabio Dell’Acqua

“…The aim of this research is an automated, machine learning (ML)-based approach to detecting manure application on crop fields in time sequences of spaceborne, multi-source optical Earth Observation data. …”
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Predictive analysis of heart disease using quantum-assisted machine learning by Mehroush Banday, Sherin Zafar, Parul Agarwal, M. Afshar Alam, Siddhartha Sankar Biswas, Imran Hussain, K. M. Abubeker

“…Quantum machine learning (QML) is receiving tremendous interest in various disciplines due to its higher performance and capabilities. …”
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Water Meter Reading Based on Text Recognition Techniques and Deep Learning by Bay Nguyen van, Anh Nguyen, Kiet Tran-Trung, Thien Ho Huong, Ha Duong Thi Hong, Hau Nguyen Trung, Vinh Truong Hoang

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AADNet: An End-to-End Deep Learning Model for Auditory Attention Decoding by Nhan Duc Thanh Nguyen, Huy Phan, Simon Geirnaert, Kaare Mikkelsen, Preben Kidmose

“…These results highlight the potential of deep learning models for advancing AAD, with promising implications for future hearing aids, assistive devices, and clinical assessments.…”
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Stealthy Adversarial Attacks on Machine Learning-Based Classifiers of Wireless Signals by Wenhan Zhang, Marwan Krunz, Gregory Ditzler

“…Machine learning (ML) has been successfully applied to classification tasks in many domains, including computer vision, cybersecurity, and communications. …”
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CGDINet: A Deep Learning-Based Salient Object Detection Algorithm by Chengyu Hu, Jianxin Guo, Hanfei Xie, Qing Zhu, Baoxi Yuan, Yujie Gao, Xiangyang Ma, Jialu Chen, Juan Tian

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Categorizing students into groups according to their learning attitudes based on cluster analysis by Janchiv Shinebayar, Badarch Jadamba, Ochirbat Altangoo, Raash Namjildagva, Tumurbaatar Ganbaatar, Ravdandorj Togoo, Sukhbaatar Batchuluun

“…Students are categorized into five groups according to their learning attitudes based on the two-step clustering components. …”
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Prediction of growth and feed efficiency in mink using machine learning algorithms by A. Shirzadifar, G. Manafiazar, P. Davoudi, D. Do, G. Hu, Y. Miar

“…Since feed cost is the major input cost in the mink industry, evaluating of FE is a crucial step for competitiveness of the mink industry. However, the FE measures have not been widely adopted for the mink due to the high cost of periodically measuring BW and daily feed intake. …”
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DLProv: a suite of provenance services for deep learning workflow analyses by Débora Pina, Liliane Kunstmann, Adriane Chapman, Daniel de Oliveira, Marta Mattoso

“…Deep learning (DL) workflows consist of multiple interdependent and repetitive steps, including data preparation, model training, evaluation, and deployment. …”
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Rancang Bangun Purwarupa Pemilah Sampah Pintar Berbasis Deep Learning by Kahlil Muchtar, Nyak Twoman Anshari, Chairuman Chairuman, Khalid Alhabibie, Khairul Munadi

“…Dalam hal ini, digunakan salah satu cabang ilmu pembelajaran mesin (Machine Learning) yang mampu mengetahui kumpulan gambar serta mengklasifikasikannya yaitu pembelajaran mendalam (Deep Learning). …”
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Machine learning model for random forest acute oral toxicity prediction by A.M. Elsayad, M.M. Zeghid, K.A. Elsayad, A.N. Khan, ِA.K.M. Baareh, A. Sadiq, S.A. Mukhtar, H.F. Ali, S. Abd El-kader

“…This advancement improves model interpretability and represents a significant step toward enhancing chemical safety while supporting sustainable development goals.…”
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Flipbook on Indonesian cultural diversity to enhance learning outcomes for fourth graders by Hilda Kusumaningtyas, Ali Sunarso

“…The type of method used in this research is Research and Development (R&D) with the Bord and Gall development model which has 10 steps and researchers only use 9 steps. The validity test of the product being developed was carried out by material and media expert lecturers as examiners of the learning media "Indonesian cultural diversity flipbook". …”
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Integrating Sentiment Analysis With Machine Learning for Cyberbullying Detection on Social Media by Maram Fahaad Almufareh, Noor Zaman Jhanjhi, Mamoona Humayun, Ghadah Naif Alwakid, Danish Javed, Saleh Naif Almuayqil

“…These steps ensure high-quality input data for machine learning models which significantly enhances their performance. …”
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Upcoming: Piloting a Community-Based Learning Teaching Assistant Program by Bethany Ozorak, Sascha Goluboff

“… Research indicates that student leadership and peer-to-peer mentoring enhance the high-impact practice of student service-learning. This article explores the successful implementation of a community-based learning teaching assistant program by a community-engaged office at a four-year liberal arts institution. …”
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