A Lightweight Person Detector for Surveillance Footage Based on YOLOv8n by Qicheng Wang, Guoqiang Feng, Zongzhe Li

Subjects: Get full text

Shaping the future: Satryo Brodjonegoro’s blueprint for education in Indonesia by Abdullah Helmy, Brian Fairman, S. Suparto, Adam Voak, Hurriyet Babacan

Subjects: “…applied learning…”
Get full text

Efficient Multi-Task Training with Adaptive Feature Alignment for Universal Image Segmentation by Yipeng Qu, Joohee Kim

Subjects: Get full text

Insights into prescribing patterns for antidepressants: an evidence-based analysis by Hua Min, Farrokh Alemi

Subjects: Get full text

Designing a general employee management model with an emphasis on performance management by Maryam Nasiri, Ameneh Firozabadi, Sanjar Slajagheh, Mahdi Mohamad Bagheri

Subjects: Get full text

L’INFLUENCE DE L’ART POPULAIRE SUR L’ART SAVANT: RÉFÉRENCES ESTHÉTIQUES AUX CRÉATIONS ROUMAINES DANS LA PREMIÈRE MOITIÉ DU XXᵉ SIÈCLE by Liliana-Isabela APOSTU HAIDER

Subjects: Get full text

L’arbre au cœur du paysage urbain : symbole ou action militante ? by Frédéric Bœuf, Florence Robert

Subjects: Get full text

Can the number of confirmed COVID-19 cases be predicted more accurately by including lifestyle data? An exploratory study for data-driven prediction of COVID-19 cases in metropolitan cities using deep learning models by Sungwook Jung

“…Performance differences across data sets and between deep learning models were tested to be statistically significant. …”
Get full text

Association between the use of daily injury risk estimation feedback (I-REF) based on machine learning techniques and injuries in athletics (track and field): results of a prospective cohort study over an athletics season by Karsten Hollander, David Blanco, Pascal Edouard, Laurent Navarro, Antoine Bruneau, Alexis Ruffault, Joris Chapon, Pierre-Eddy Dandrieux, Christophe Ley, Spyridon (Spyros) Iatropoulos

“…However, when considering athletes’ daily response rate in secondary analysis, for a response rate of at least 9%, we observed a significant association between the self-reported level of I-REF use and the injury burden (n=76, eβ: 0.981, 95% CI: 0.965 to 0.998; p=0.027).Conclusions Daily injury risk estimation feedback using machine learning was not associated with reducing injury burden.…”
Get full text

Frank Moulaert, Diana MacCallum, Abid Mehmood, Abdelillah Hamdouch (Eds.), 2013, The International Handbook on Social Innovation. Collective Action, Social Learning and Transdisciplinary Research, Cheltenham, Edward Elgar, 500 pages by Aurélien Boutaud

Get full text

Development of a machine learning model related to explore the association between heavy metal exposure and alveolar bone loss among US adults utilizing SHAP: a study based on NHANES 2015–2018 by Jiayi Chen

Subjects: “…Machine learning…”
Get full text

Protocol to implement and evaluate a culturally secure, strength-based, equine-assisted learning program, "Yawardani Jan-ga" (horses helping), to support the social and emotional wellbeing of Australian aboriginal children and young people. by Juli Coffin, Sharmila Vaz, Cheryl Kickett-Tucker, Helen Milroy, Craig Olsson, Meg Kirby, Lesley Nelson, Rob McPhee, Donna Cross

“…EAL is a strengths-based learning approach where participants work with horses' inherent characteristics to learn transferable life skills, such as communication skills, self-awareness, and emotional regulation, to promote social and emotional growth and wellbeing. …”
Get full text

COOPERATION BETWEEN THE UNESCO IITE AND UNESCO ASSOCIATED SCHOOLS by Nella M. Pruss

Subjects: “…пилотный проект «lff - learning for the future»…”
Get full text

Application of Artificial Intelligence Techniques on Computational Electromagnetics for Power System Apparatus: An Overview by Dinusha Maramba Gamage, Madhawa Ranasinghe, Venkata Dinavahi

Subjects: Get full text

Machine-Learning Parsimonious Prediction Model for Diagnostic Screening of Severe Hematological Adverse Events in Cancer Patients Treated with PD-1/PD-L1 Inhibitors: Retrospective Observational Study by Using the Common Data Model by Seok Jun Park, Seungwon Yang, Suhyun Lee, Sung Hwan Joo, Taemin Park, Dong Hyun Kim, Hyeonji Kim, Soyun Park, Jung-Tae Kim, Won Gun Kwack, Sung Wook Kang, Yun-Kyoung Song, Jae Myung Cha, Sang Youl Rhee, Eun Kyoung Chung

“…The study aimed to develop a simple machine learning (ML) model for predicting irHAEs associated with PD-1/PD-L1 inhibitors. …”
Get full text

Modelo de aprendizaje para la selección de un proyecto diseño-construcción (llave en mano) en el sector público A learning model for design-build project selection in the public sector by Alfonso Bastias, Keith R Molenaar

Subjects: Get full text

Prediction model for type 2 diabetes mellitus and its association with mortality using machine learning in three independent cohorts from South Korea, Japan, and the UK: a model development and validation studyResearch in context by Hayeon Lee, Seung Ha Hwang, Seoyoung Park, Yunjeong Choi, Sooji Lee, Jaeyu Park, Yejun Son, Hyeon Jin Kim, Soeun Kim, Jiyeon Oh, Lee Smith, Damiano Pizzol, Sang Youl Rhee, Hyunji Sang, Jinseok Lee, Dong Keon Yon

Subjects: Get full text

Development, validation, and clinical application of a machine learning model for risk stratification and management of cervical cancer screening based on full-genotyping hrHPV test (SMART-HPV): a modelling studyResearch in context by Binhua Dong, Zhen Lu, Tianjie Yang, Junfeng Wang, Yan Zhang, Xunyuan Tuo, Juntao Wang, Shaomei Lin, Hongning Cai, Huan Cheng, Xiaoli Cao, Xinxin Huang, Zheng Zheng, Chong Miao, Yue Wang, Huifeng Xue, Shuxia Xu, Xianhua Liu, Huachun Zou, Pengming Sun

Subjects: Get full text