‘Step into her World’: Including the Voices of Learning-Disabled Children and Young People in Research by Diana Fields, Laura Fox, Kathryn Asbury

“…There was a good consensus that it would be highly valuable to develop more innovative and inclusive qualitative research methods for this group of people, and that it is vital that a careful, ethical and co-produced approach is taken to this endeavour. The next step will be to use these proposals to explore the issue with learning-disabled children and young people themselves.…”
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Multi-Step Quality-Oriented Training for Cross-Dataset Offline Iterative Speech Enhancement by Shih-Chuan Chu, Chung-Hsien Wu

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A step forward in the diagnosis of urinary tract infections: from machine learning to clinical practice by Emilio Flores, Laura Martínez-Racaj, Álvaro Blasco, Elena Diaz, Patricia Esteban, Maite López-Garrigós, María Salinas

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Machine Learning-Based Mooring Failure Detection for FPSOs: A Two-Step ANN Approach by Omar Jebari, Do-Soo Kwon, Sung-Jae Kim, Chungkuk Jin, Moohyun Kim

“…This study presents a two-step artificial neural network (ANN) approach for detecting mooring failures in a spread-moored floating production storage and offloading (FPSO) vessel using platform motion data. …”
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Creative Steps for Learning Islamic Religion (Classroom Management Study at Smk Muhammadiyah 2 Wates) by Muhammad Rizky Nur Risam, Arif Agus Mujahidin, Nanik Rahmanti, Fifin Al-Fionita, Sri Roviana

“…This research aims to learn and understand more deeply related to the creative learning and class management steps carried out by Islamic Religious Education teachers at SMK Muhammadiyah 2 Wates. …”
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Canine age classification using Deep Learning as a step towards preventive medicine in animals by Szymon Mazurek, Maciej Wielgosz, Jakub Caputa, Rafał Frączek, Michał Karwatowski, Jakub Grzeszczyk, Daria Łukasik, Anna Śmiech, Paweł Russek, Ernest Jamro, Agnieszka Dąbrowska-Boruch, Marcin Pietroń, Sebastian Koryciak, Kazimierz Wiatr

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Transfer learning for accurate brain tumor classification in MRI: a step forward in medical diagnostics by Muhammad Adnan Khan, Muhammad Zahid Hussain, Shahid Mehmood, Muhammad Farhan Khan, Munir Ahmad, Tehseen Mazhar, Tariq Shahzad, Mamoon M. Saeed

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Two-Step Transfer Learning Improves Deep Learning–Based Drug Response Prediction in Small Datasets: A Case Study of Glioblastoma by Jie Ju, Ioannis Ntafoulis, Michelle Klein, Marcel JT Reinders, Martine Lamfers, Andrew P Stubbs, Yunlei Li

“…While deep learning (DL) is used in patients’ outcome predictions, the insufficiency of patient samples limits the accuracy. …”
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Step-by-Step Description of Standardized Technique for Robotic Pancreatoduodenectomy by Antonella Delvecchio, Silvio Caringi, Cataldo De Palma, Gaetano Brischetto, Rosalinda Filippo, Annachiara Casella, Valentina Ferraro, Matteo Stasi, Riccardo Memeo, Michele Tedeschi

“…Our technique is structured into defined surgical steps, facilitating learning curve optimization and intraoperative consistency. …”
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Implementation of Automatic Segmentation Framework as Preprocessing Step for Radiomics Analysis of Lung Anatomical Districts by Alessandro Stefano, Fabiano Bini, Nicolò Lauciello, Giovanni Pasini, Franco Marinozzi, Giorgio Russo

“…This study aimed to enhance the radiomic workflow by applying deep learning, through transfer learning, for the automatic segmentation of lung regions in computed tomography scans as a preprocessing step. …”
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A two-step machine learning approach for predictive maintenance and anomaly detection in environmental sensor systems by Saiprasad Potharaju, Ravi Kumar Tirandasu, Swapnali N. Tambe, Devyani Bhamare Jadhav, Dudla Anil Kumar, Shanmuk Srinivas Amiripalli

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Machine learning analysis of pre-culture effects on rate-limiting steps in volatile compound dynamics of Mead by Xian Li, Tiantian Zhang, Ziwei Liu, Meng Jiao, Qian Li, Martin Gand, Kexin Zhu, Yibing Qiao, Wushuang Bai, Zisheng Guo, Bin Li, Yiran Wang, Jing Dong, Binglin Li

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Mountain flood forecasting in small watershed based on loop multi-step machine learning regression model by Songsong Wang, Bo Peng, Ouguan Xu, Yuntao Zhang, Jun Wang

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Deep Learning and Automatic Detection of Pleomorphic Esophageal Lesions—A Necessary Step for Minimally Invasive Panendoscopy by Miguel Martins, Miguel Mascarenhas, Maria João Almeida, João Afonso, Tiago Ribeiro, Pedro Cardoso, Francisco Mendes, Joana Mota, Patrícia Andrade, Hélder Cardoso, Miguel Mascarenhas-Saraiva, João Ferreira, Guilherme Macedo

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Multi-Step Preprocessing With UNet Segmentation and Transfer Learning Model for Pepper Bell Leaf Disease Detection by Aisha Ahmed AlArfaj, Abdulaziz Altamimi, Turki Aljrees, Shakila Basheer, Muhammad Umer, Md. Abdus Samad, Shtwai Alsubai, Imran Ashraf

“…Through a series of meticulously designed image processing steps, the dataset is normalized, enhancing its quality and consistency. …”
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Development of improved deep learning models for multi-step ahead forecasting of daily river water temperature by Mehdi Gheisari, Jana Shafi, Saeed Kosari, Samaneh Amanabadi, Saeid Mehdizadeh, Christian Fernandez Campusano, Hemn Barzan Abdalla

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Fault Diagnosis of Rolling Bearings Based on Two-step Transfer Learning and EfficientNetV2 by Du Kangning, Ning Shaohui

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Step-by-step causal analysis of EHRs to ground decision-making. by Matthieu Doutreligne, Tristan Struja, Judith Abecassis, Claire Morgand, Leo Anthony Celi, Gaël Varoquaux

“…Our step-by-step analytic framework helps avoiding many pitfalls of applying machine learning to EHR data, building models that avoid shortcuts and extract the best decision-making evidence.…”
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Machine learning applied to wearable fitness tracker data and the risk of hospitalizations and cardiovascular events by John Kundrick, Aditi Naniwadekar, Virginia Singla, Krishna Kancharla, Aditya Bhonsale, Andrew Voigt, Alaa Shalaby, N.A. Mark Estes, Sandeep K Jain, Samir Saba

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You Only Attack Once: Single-Step DeepFool Algorithm by Jun Li, Yanwei Xu, Yaocun Hu, Yongyong Ma, Xin Yin

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