A scoping review of robustness concepts for machine learning in healthcare by Alan Balendran, Céline Beji, Florie Bouvier, Ottavio Khalifa, Theodoros Evgeniou, Philippe Ravaud, Raphaël Porcher

“…Abstract While machine learning (ML)-based solutions—often referred to as artificial intelligence (AI) solutions—have demonstrated comparable or superior performance to human experts across various healthcare applications, their vulnerability to perturbations and stability to variations due to new environments—essentially, their robustness—remains ambiguous and often overlooked. …”
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Enhanced Vector Quantization for Embedded Machine Learning: A Post-Training Approach With Incremental Clustering by Thommas K. S. Flores, Morsinaldo Medeiros, Marianne Silva, Daniel G. Costa, Ivanovitch Silva

“…TinyML enables the deployment of Machine Learning (ML) models on resource-constrained devices, addressing a growing need for efficient, low-power AI solutions. However, significant challenges remain due to strict memory, processing, and energy limitations. …”
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Control of Magnetic Manipulator Using Reinforcement Learning Based on Incrementally Adapted Local Linear Models by Martin Brablc, Jan Žegklitz, Robert Grepl, Robert Babuška

“…While all of the approximation methods were successful, MGGP achieved the best results at the cost of higher computational complexity. Index Terms–AI-based methods, local linear regression, nonlinear systems, magnetic manipulation, model learning for control, optimal control, reinforcement learning, symbolic regression.…”
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Identifying urban, transportation, and socioeconomic characteristics across US zip codes affecting CO2 emissions: A decision tree analysis by Maged Zagow, Marwa Elbany, Ahmed Mahmoud Darwish

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Prediction of buckling damage of steel equal angle structural members using hybrid machine learning techniques by Nang Xuan Ho, Tien-Thinh Le, The-Hung Dinh, Van-Hai Nguyen

“…In particular, a hybrid Artificial Intelligence (AI)-based model involving Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO) was developed and calibrated for the problem at hand. …”
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IAPCP: An Effective Cross-Project Defect Prediction Model via Intra-Domain Alignment and Programming-Based Distribution Adaptation by Nana Zhang, Kun Zhu, Dandan Zhu

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MalAware: A tabletop exercise for malware security awareness education and incident response training by Giddeon Angafor, Iryna Yevseyeva, Leandros Maglaras

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Value realization of intelligent emergency management: research framework from technology enabling to value creation by Yan Guo, Yan Song, Mingyue Zhang

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New colleague or gimmick hurdle? A user-centric scoping review of the barriers and facilitators of robots in hospitals. by Mathias Kofoed Rasmussen, Anna Schneider-Kamp, Tobias Hyrup, Alessandro Godono

“…To address this escalating demand for healthcare services, healthcare systems are increasingly adopting robotic technology and artificial intelligence (AI), which promise to optimise costs, improve working conditions, and increase the quality of care. …”
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Artificial intelligence in education: advancing educational digital inclusion for adults older with diverse neuromuscular conditions by Paula Andrea Valencia-Londoño, Hilderman Cardona-Rodas, Jovani A. Jiménez-Builes

“…This research evaluates the potential of Artificial Intelligence (AI) interventions in promoting digital inclusion for older adults with neuromuscular conditions, aligning with Sustainable Development Goal (SDG) 4 for equitable education. …”
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Thermal energy storage materials designed from recycled Tetra Pak waste and paraffin waxes with enhanced photothermal conversion efficiencies by Safna Nishad, Mabrouk Ouederni, Igor Krupa

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Updates on CAD risk assessment: using the coronary artery calcium score in combination with traditional risk factors by Kiara Rezaie-Kalamtari, Zeinab Norouzi, Alireza Salmanipour, Hossein Mehrali

“…Adding artificial intelligence (AI) to CAC will prepare more data and can increase the reliability of our approach to the patients promising a bright future to improve this technology.…”
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From Queries to Courses: SKYRAG’s Revolution in Learning Path Generation via Keyword-Based Document Retrieval by Yosua Setyawan Soekamto, Leonard Christopher Limanjaya, Yoshua Kaleb Purwanto, Dae-Ki Kang

“…This study contributes to the growing body of research on AI-driven learning systems and highlights SKYRAG’s potential for widespread adoption in dynamic educational environments.…”
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Geleceğin İletişiminde Yapay Zekâ Sohbet Robotları: Ekşi Sözlük Girdilerinin İçerik Analizi by Gamze Gazaz, Doğan Can Gazaz

“…Ancak bu teknolojiler yalnızca içeriğinde yapay zekâ destekli uygulama bulunan aletlere sahip insanlar tarafından deneyimlenebilmiştir. 30 Kasım 2022 tarihinde OpenAI firması tarafından ChatGPT adıyla kitlesel kullanıma sunulan sohbet robotu ile yapay zekâ kişisel ve profesyonel işlerde kullanılabilir hale gelmiştir. …”
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An Artificial Intelligence Mechanism for the Prediction of Signal Strength in Drones to IoT Devices in Smart Cities by Mohamad Reda A. Refaai, Vinjamuri S. N. C. H. Dattu, H. S. Niranjana Murthy, P. Pramod Kumar, B. Kannadasan, Abdi Diriba

“…Drones, the Internet of Things (IoT), and Artificial Intelligence (AI) could be used to create extraordinary responses to today’s difficulties in smart city challenges. …”
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Economic Sustainability of Scrapping Electric and Internal Combustion Vehicles: A Comparative Multiple Italian Case Study by Angelo Corallo, Alberto Di Prizio, Mariangela Lazoi, Claudio Pascarelli

“…In addition, the introduction of advanced technologies, including artificial intelligence (AI) and autonomous systems, brings new challenges related to the management of components and materials needed for their production, creating a significant impact on supply chains. …”
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Fullerene nanosheets for surface-enhanced Raman spectroscopy by Linchangqing Yang, Yahui Li, Wei Liu, Junhao Zhang, Qinghong Kong, Guangcheng Xi

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Stavovi potrošača o ekološkim proizvodima by Maja Lendl Prša, Tina Vukasović

“…Ovi podaci mogli bi utjecati na publiku koja je ekološki orijentirana te sama koristi i kupuje ekološke proizvode, ai i proizvođače koji razmišljaju o prelasku na ekološku proizvodnju. …”
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Response of Non-Irrigated Peanut to Multiple Rate Delayed Flumioxazin Applications by Nicholas L. Hurdle, Timothy L. Grey, Juliana de Souza Rodrigues, W. Scott Monfort

“…Research in Georgia (GA) investigated the response of non-irrigated peanut to flumioxazin PRE applied from 0 to 107 g ai/ha at 0 to 14 d after planting for cultivar Georgia-16HO. …”
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Perspectives on additive manufacturing for warhead applications by Hao Xue, Qiang Zhou, Chuan Xiao, Guangyan Huang

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