FSDN-DETR: Enhancing Fuzzy Systems Adapter with DeNoising Anchor Boxes for Transfer Learning in Small Object Detection by Zhijie Li, Jiahui Zhang, Yingjie Zhang, Dawei Yan, Xing Zhang, Marcin Woźniak, Wei Dong

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A Fusion Method Incorporating Dual-Attention Mechanism and Transfer Learning Into UNet++ for Remote Sensing Image Coastline Extraction by Yanru Song, Bai Xue, Yueyue Meng, Xiang Qin, Yixiao Li, Qi Liu

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Machine learning cluster analysis identifies increased 12-month mortality risk in transcatheter aortic valve replacement recipients by Thomas Meredith, Thomas Meredith, Thomas Meredith, Farhan Mohammed, Amy Pomeroy, Sebastiano Barbieri, Sebastiano Barbieri, Erik Meijering, Louisa Jorm, David Roy, Jason Kovacic, Jason Kovacic, Jason Kovacic, Jason Kovacic, Michael Feneley, Michael Feneley, Michael Feneley, Christopher Hayward, Christopher Hayward, Christopher Hayward, David Muller, David Muller, David Muller, Mayooran Namasivayam, Mayooran Namasivayam, Mayooran Namasivayam

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STAIG: Spatial transcriptomics analysis via image-aided graph contrastive learning for domain exploration and alignment-free integration by Yitao Yang, Yang Cui, Xin Zeng, Yubo Zhang, Martin Loza, Sung-Joon Park, Kenta Nakai

“…Here, we propose STAIG, a deep-learning model that integrates gene expression, spatial coordinates, and histological images using graph-contrastive learning coupled with high-performance feature extraction. …”
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Study of the need for project-based learning citizenship e-books to expand national literacy of students pgri university palembang by Ramanata Disurya, Sudarwan Danim, Syukri Hamzah, Muhammad Kristiawan, Rosane Medriati, Neta Dian Lestari

“…The research's goal is to gather the information required for citizenship education so that students can learn as much as possible about their nationality.  …”
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Prediction of Mechanical Properties of Aluminium Alloy Strip Using the Extreme Learning Machine Model Optimized by the Gray Wolf Algorithm by Zhenqiang Xiong, Jiadong Li, Peng Zhao, Yong Li

“…This paper proposes a mechanical performance prediction model based on the Gray Wolf Optimization (GWO) algorithm and the Extreme Learning Machine (ELM) algorithm. In the modeling process, GWO is used to determine the optimal weights and deviations of ELM and experiments are used to determine the model’s key parameters. …”
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Theory and Numerical Analysis of Extreme Learning Machine and Its Application for Different Degrees of Defect Recognition of Hoisting Wire Rope by Zhike Zhao, Xiaoguang Zhang

“…An improved classification approach is proposed to solve the hot research problem of some complex multiclassification samples based on extreme learning machine (ELM). ELM was proposed based on the single-hidden layer feed-forward neural network (SLFNN). …”
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Supporting clinical decision making in the emergency department for paediatric patients using machine learning: A scoping review protocol. by Fiona Leonard, Dympna O'Sullivan, John Gilligan, Nicola O'Shea, Michael J Barrett

“…<h4>Introduction</h4>Machine learning as a clinical decision support system tool has the potential to assist clinicians who must make complex and accurate medical decisions in fast paced environments such as the emergency department. …”
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The Influence of Stress Perception on Academic Procrastination in Postgraduate Students: The Role of Self-Efficacy for Self-Regulated Learning and Self-Control by Yan Ma, Xi Mei Yang, Lan Hong, Ren Ju Tang

“…The study showed that stress perception was a significant positive predictor of academic procrastination, and both self-regulated learning efficacy and self-control played a moderating role in the relationship between stress perception and academic procrastination. …”
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Advancements and challenges in agriculture: a comprehensive review of machine learning and IoT applications in vertical farming and controlled environment agriculture by Binoy Sasmal, Gobinda Das, Preeti Mallick, Sneha Dey, Suman Ghorai, Subrata Jana, Chiranjibe Jana

“…Implementing VF will solve many challenges by utilizing modern machine learning, IoT, and AI techniques, increasing VF productivity and quality. …”
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Integrating nature-based and outdoor learning through interactive e-books to enhance english skills and physical engagement in students by Melda Veby Ristella Munthe, Vita Riahni Saragih, Anita Sitanggang, Eva Pratiwi Pane, Jaya Tata Hardinata, Minar Trisnawati Tobing, Hery Reynaldi Tarigan

Subjects: “…Nature-based learning…”
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PharmacoNER Tagger: a deep learning-based tool for automatically finding chemicals and drugs in Spanish medical texts by Jordi Armengol-Estapé, Felipe Soares, Montserrat Marimon, Martin Krallinger

Subjects: “…machine learning…”
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Overview of styles, content, learning effects and attitudes of students towards digitally enhanced physiotherapy education – a scoping review by Larissa Pagels, Oskar Schindler, Kerstin Luedtke

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Advancing poliovirus eradication: lessons learned from piloting direct molecular detection of polioviruses in high-risk and priority geographies by Paula L. Marcet, Brandon Short, Ashley Deas, Hong Sun, Chelsea Harrington, Shahzad Shaukat, Muhammad Masroor Alam, Marycelin Baba, Adedayo Faneye, Prossy Namuwulya, Lea Necitas Apostol, Tamer Elshaarawy, John Kofi Odoom, Peter Borus, Shelina Moonsamy, Yogolelo Riziki, Marie Claire Endegue Zanga, Mesfin Tefera, Anfumbom K. W. Kfutwah, Salmaan Sharif, Varja Grabovac, Cara C. Burns, Nancy Gerloff

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Clinical feasibility of deep learning-driven magnetic resonance angiography collateral map in acute anterior circulation ischemic stroke by Ye Jin Jeon, Hong Gee Roh, Sumin Jung, Hyun Yang, Hee Jong Ki, Jeong Jin Park, Taek-Jun Lee, Na Il Shin, Ji Sung Lee, Jin Tae Kwak, Hyun Jeong Kim

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From Queries to Courses: SKYRAG&#x2019;s Revolution in Learning Path Generation via Keyword-Based Document Retrieval by Yosua Setyawan Soekamto, Leonard Christopher Limanjaya, Yoshua Kaleb Purwanto, Dae-Ki Kang

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Bond behavior of galvanized iron fiber reinforced concrete with recycled coarse aggregate and model prediction using machine learning by Md. Jahidul Islam, Ummul Wara Labiba, Tasfiah Faisal Chowdhury, Md. Shahjalal, Tanvir Mustafy, Tanvir Hassan Tusher

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Development of a Machine‐Learning Model for Diagnosis of Pancreatic Cancer from Serum Samples Analyzed by Thermal Liquid Biopsy by Sonia Hermoso‐Durán, Nicolas Fraunhoffer, Judith Millastre‐Bocos, Oscar Sanchez‐Gracia, Pablo F. Garrido, Sonia Vega, Ángel Lanas, Juan Iovanna, Adrián Velázquez‐Campoy, Olga Abian

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Determination of 5-fluorouracil anticancer drug solubility in supercritical CO 2 using semi-empirical and machine learning models by Gholamhossein Sodeifian, Ratna Surya Alwi, Reza Derakhsheshpour, Nedasadat Saadati Ardestani

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Cross-agency working when conducting a pragmatic RCT for older victims of crime: our experiences and lessons learned by Marc Serfaty, Jessica Satchell, Gloria K. Laycock, Chris R. Brewin, Marta Buszewicz, Gerard Leavey, Vari M. Drennan, Jonathan Cooke, Anthony Kessel

“…Methods The trial management group (authors) and partners organisations identified the challenges and lessons learned from conducting the VIP trial in which the police identified and screened victims of reported community crime, aged 65 years or over, for distress. …”
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