Detecting Subtle Cyberattacks on Adaptive Cruise Control Vehicles: A Machine Learning Approach by Tianyi Li, Mingfeng Shang, Shian Wang, Raphael Stern

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A Review on Person Re-Identification Techniques and Its Analysis by C. Selvan, H. Anwar Basha, K. Meenakshi, Soumyalatha Naveen

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How bumblebees manage conflicting information seen on arrival and departure from flowers by Marie-Geneviève Guiraud, HaDi MaBouDi, Joe Woodgate, Olivia K. Bates, Oscar Ramos Rodriguez, Vince Gallo, Andrew B. Barron

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EVALUATION OF AN INDUCTIVE STRATEGY OF TEACHING MUSIC AND PROGRAMMING TO PRIMARY SCHOOL STUDENTS by Marius Bănuț, Ion Albulescu

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Machine Learning and Safe and Inclusive Architecture for Fragile Users by Antonio Magarò, Adolfo F. L. Baratta

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Machine learning approaches for predicting and validating mechanical properties of Mg rare earth alloys for light weight applications by Sandeep Jain, Ayan Bhowmik, Jaichan Lee

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Impact of evaluation method shifts on student performance: an analysis of irregular improvement in passing percentages during COVID-19 at an Ecuadorian institution by Esteban  Guevara Hidalgo

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Deep Learning for Predicting Spheroid Viability: Novel Convolutional Neural Network Model for Automating Quality Control for Three-Dimensional Bioprinting by Zyva A. Sheikh, Oliver Clarke, Amatullah Mir, Narutoshi Hibino

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Tropical cyclone intensity estimation based on YOLO-NAS using satellite images in real time by Priyanka Nandal, Prerna Mann, Navdeep Bohra, Ghadah Aldehim, Asma Abbas Hassan Elnour, Randa Allafi

Subjects: “…Deep learning…”
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Tracking teachers’ experience of adopting my English step to infuse differentiated instruction by Ilza Mayuni, Yinghui Chen, Ni Made Ratminingsih, Tara Mustikaning Palupi, Nurhasanah Halim

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Enhancing individual glomerular filtration rate assessment: can we trust the equation? Development and validation of machine learning models to assess the trustworthiness of estima... by Antoine Lanot, Anna Akesson, Felipe Kenji Nakano, Celine Vens, Jonas Björk, Ulf Nyman, Anders Grubb, Per-Ola Sundin, Björn O. Eriksen, Toralf Melsom, Andrew D. Rule, Ulla Berg, Karin Littmann, Kajsa Åsling-Monemi, Magnus Hansson, Anders Larsson, Marie Courbebaisse, Laurence Dubourg, Lionel Couzi, Francois Gaillard, Cyril Garrouste, Lola Jacquemont, Nassim Kamar, Christophe Legendre, Lionel Rostaing, Natalie Ebert, Elke Schaeffner, Arend Bökenkamp, Christophe Mariat, Hans Pottel, Pierre Delanaye

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Learning-induced sensory plasticity of mouse olfactory epithelium by A. V. Romashchenko, Р. Е. Kireeva, M. В. Sharapova, Т. A. Zapara, A. S. Ratushnyak

Subjects: “…olfactory learning…”
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Professionnalisation des enseignants et démocratisation scolaire : une formation initiale pensée à l’aune de la réduction des inégalités scolaires ? by Claire Benveniste

Subjects: “…social inequalities of learning.…”
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Online learning during the COVID-19 pandemic: Medical students’ perspective of challenges and barriers by Loma Al-Mansouri, Firas R. Al-Obaidi, Noor Ahmed Abdullah

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Positive experiences of distance education from the perspective of primary school pupils, grades I–III by Agnieszka Koterwas, Edyta Nowosielska

Subjects: “…distance learning…”
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Cardiac sound classification using a hybrid approach: MFCC-based feature fusion and CNN deep features by Mahbubeh Bahreini, Ramin Barati, Abbas Kamali

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L’éducation au politique à travers les questions environnementales : ancrages épistémologiques et alignement avec l’éducation au développement durable by Melki Slimani

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Development and Validation of the Interpreting Learning Engagement Scale (ILES) by Wenting Yu, Chenggang Wu

Subjects: “…interpreting learning engagement…”
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Diagnosis of Parkinson’s disease by eliciting trait-specific eye movements in multi-visual tasks by Maosong Jiang, Yanzhi Liu, Yanlu Cao, Shufeng Xia, Fei Teng, Wenzhi Zhao, Yongzhong Lin, Wenlong Liu

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Improved cattle farm classification: leveraging machine learning and linked national datasets by Guy-Alain Schnidrig, Guy-Alain Schnidrig, Rahel Struchen, Sara Schärrer, Dagmar Heim, Daniela Hadorn, Gertraud Schüpbach-Regula, Giulia Paternoster

Subjects: “…machine learning…”
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