Exploring interconnections among atoms, brain, society, and cosmos with network science and explainable machine learning by Daniele Caligiore, Daniele Caligiore, Anna Monreale, Anna Monreale, Giulio Rossetti, Angela Bongiorno, Giuseppe Fisicaro

“…This paper presents a methodology combining Network Science (NS) and Explainable Machine Learning (XML) that could hypothetically uncover shared principles across seemingly disparate scientific domains. …”
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New Method of Impact Localization on Plate-like Structures Using Deep Learning and Wavelet Transform by Asaad Migot, Ahmed Saaudi, Victor Giurgiutiu

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Minimal-Learning-Parameter Technique Based Adaptive Neural Sliding Mode Control of MEMS Gyroscope by Bin Xu, Pengchao Zhang

“…Simulation results are presented to demonstrate the effectiveness of the method.…”
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MLFoMpy: A post-processing tool for semiconductor TCAD data with machine-learning capabilities by Enrique Comesaña, Julian G. Fernández, Natalia Seoane, Antonio García-Loureiro

“…We present MLFoMpy, a Python package for post-processing data from semiconductor device simulations. …”
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Development of an OCT image analysis algorithm for differential diagnosis of retinal edema based on deep learning by N.S. Demin, N.Y. Ilyasova, E.A. Zamytskiy, A.V. Zolotarev, D.V. Kirsh, A.Y. Ionov

“…The aim of this work is to develop an algorithm for differential diagnosis of retinal edema and study deep learning methods and their application to image analysis. …”
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Spatiotemporal Analysis of the Termokarst Lakes Evolution Using Remote Sensing and Randomized Machine Learning and Forecasting by Dubnov Yuri, Popkov Alexey, Popkov Yuri, Kuprianov Matvey, Polyschuk Vladimir, Melnikov Andrey, Polyschuk Yuri

“…The approach proposed in the work is based on the Randomized Machine Learning method for constructing mathematical models of lake area from climate indicators, learning the model on real data and further forecasting. …”
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One must not play with health... but by playing we can learn how to take care of health… by Jansen Valério de Oliveira, Thelma Leite de Araújo

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Towards a model of social innovation: cross-border learning processes in the context of an ageing society by Lene Berit Skov Bjerregaard, Sonata Maciulskyte, Elvyra Acienė, Jonas Christensen

“…The main conclusion is that a multi-dimensional understanding of dementia care by shared knowledge of different welfare logics adds value to experiences of cross-border learning.  A social innovation model is presented. …”
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Performance Analysis of Deep Learning-Based Lossy Point Cloud Geometry Compression Coding Solutions by Joao Prazeres, Rafael Rodrigues, Manuela Pereira, Antonio M. G. Pinheiro

“…The quality evaluation of three deep learning-based coding solutions for point cloud geometry, notably ADLPCC, PCC GEO CNNv2, and PCGCv2, is presented. …”
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Machine learning driven diabetes care using predictive-prescriptive analytics for personalized medication prescription by Manaf Zargoush, Somayeh Ghazalbash, Mahsa Madani Hosseini, Farrokh Alemi, Dan Perri

“…This underscores the greater need for CDSS, particularly in situations involving complex combination therapy. This study presents a novel ML-based CDSS framework for personalized T2D treatment. …”
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Segmentation Performance and Mapping of Dunes in Multi-Source Remote Sensing Images Using Deep Learning by Pengyu Zhao, Jiale An, Jianghua Zheng, Wanqiang Han, Nigela Tuerxun, Bochao Cui, Xuemi Zhao

“…However, the diversity and complexity of the dune morphology present significant challenges when using traditional classification methods, particularly in feature extraction, model parameter optimization, and large-scale mapping. …”
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Integrating interactive video media in physical education: a study on critical thinking and learning motivation by Silva Ayu Trisnawati, Mochamad Ridwan, Edi Setiawan, Farruh Ahmedov

“… Background: At present, the process of physical education learning has incorporated the use of video-based interactive media, with the aim of optimising the achievement of learning outcomes. …”
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Privacy-enhanced skin disease classification: integrating federated learning in an IoT-enabled edge computing by Nada Alasbali, Jawad Ahmad, Ali Akbar Siddique, Oumaima Saidani, Alanoud Al Mazroa, Asif Raza, Rahmat Ullah, Muhammad Shahbaz Khan

“…Most existing automated detection/classification approaches that utilize machine learning or deep learning poses privacy issues, as they involve centralized computing and require local storage for data training.MethodsKeeping the privacy of sensitive patient data as a primary objective, in addition to ensuring accuracy and efficiency, this paper presents an algorithm that integrates Federated learning techniques into an IoT-based edge-computing environment. …”
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Learning through mistakes in crisis management as a strategy of low losses in conditions of continuous uncertainty by T. V. Mokeeva

“…Leaders are judged on how they deal with the organisation’s most difficult challenges. The article presents the concepts of anti-crisis management, the principles of effective anti-crisis response. …”
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Self-directed learning through gamification of mathematics lessons: Literature review and a framework for enactment by Eythan Tzeng Junn ONG, Tin Lam TOH

“…An exemplar of a lesson on geometry with the use of the framework is also presented.…”
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A study on effects of organizational learning on organizational innovation: A case study of insurance industry by Maryam Marvasti, Neda Nafari, Ali Kavousi

“…This paper presents an empirical investigation to study the relationship between organization learning and organization innovation in one of Iranian insurance firm. …”
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Choose Your Own Adventure! An empirical study on gamification of postgraduate learning on research project design by Daisy Abbott

“…It is difficult to teach complex topics such as academic research to student cohorts who are widely heterogeneous in prior knowledge, learning goals, and learning preferences. Exploratory, quest-like approaches show promise for increasing engagement, personalization, and autonomy, however, there is a lack of empirical data on which, if any, aspects of gamification can benefit learning. …”
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From Pixels to Prognosis: Artificial Intelligence and Machine Learning Models in Brain Tumour Mutation Prediction by Quratulain Tariq, Eisha Abid Ali, Saad bin Anis, Irfan Yousaf, Ahmer Nasir Baig, Muhammad Shahzad Shamim

“…Here, we present a literature review on the role of machine learning in tumour mutations using imaging alone. …”
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A conversion tool for translating Python-based machine learning models to structured text codes by Yasmin Adriane de Paula Campos, Paulo Haron da Silva Pereira, Robson Aparecido Duarte, José Manuel Gonzalez Túbio Perez, Gustavo Pessin, Thomas Vargas Barsante Pinto

“…We present a converter software program that automatically translates Python-based machine learning algorithms into Structured Text codes. …”
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Awake Craniotomy for Left Insular Low-Grade Glioma Removal on a Patient with Learning Disabilities by Andrej Vranic, Blaz Koritnik, Jasmina Markovic-Bozic

“…Standard approach in treatment of LGG is awake craniotomy with intraoperative cortical mapping — a method which is usually used on adult and fully cooperative patients. Case Report We present the case of a patient with learning disabilities (PLD) who was operated for left insular LGG awake craniotomy, and intraoperative cortical mapping were performed and the tumor was gross totally removed. …”
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