The Role of Artificial Intelligence in Optometric Diagnostics and Research: Deep Learning and Time-Series Forecasting Applications by Luis F. F. M. Santos, Miguel Ángel Sánchez-Tena, Cristina Alvarez-Peregrina, José-María Sánchez-González, Clara Martinez-Perez

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Current Applications, Challenges, and Future Directions of Artificial Intelligence in Emergency Medicine: A Narrative Review by Mehrdad Farrokhi, Amir H Fallahian, Erfan Rahmani, Ali Aghajan, Morteza Alipour, Parisa Jafari Khouzani, Hossein Boustani Hezarani, Hamed Sabzehie, Mohammad Pirouzan, Zahra Pirouzan, Behnaz Dalvandi, Reza Dalvandi, Parisa Doroudgar, Habib Azimi, Fatemeh Moradi, Amitis Nozari, Maryam Sharifi, Hamed Ghorbani, Sara Moghimi, Fatemeh Azarkish, Soheil Bolandi, Hooman Esfahani, Sara Hosseinmirzaei, Arezou Niknam, Farzaneh Nikfarjam, Parham Talebi Boroujeni, Mahyar Noorbakhsh, Parham Rahmani, Fatemeh Rostamian Motlagh, Khadijeh Harati, Masoud Farrokhi, Sina Talebi, Lida Zare Lahijan

“…These applications can serve as effective tools in emergency departments when they are continuously supplied with high-quality real-time data and are adopted through collaboration between skilled data scientists and clinicians. …”
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Construction and Application of Monitoring System for Green Tarpaulin Cover Net in Mega Cities by Yang SUN, Dawei GAO, Haoye JIANG, Wanguang DU

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Using a deterministic matching computer routine to identify hospital episodes in a Brazilian de-identified administrative database for the analysis of obstetrics hospitalisations by Claudia Medina Coeli, Rosa Maria Soares Madeira Domingues, Lana Meijinhos, Daniela Medina Coeli Bastos, Rejane Sobrino Pinheiro, Valeria Saraceni, Marcos Augusto Bastos Dias, Natália Santana Paiva, Kenneth Camargo Jr

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Applicability Evaluation of China’s First Generation of Global Land Surface Reanalysis （CRA40/Land） Air Temperature and Precipitation Products in China Mainland by Caixia WANG, Anning HUANG, Peng ZHENG, Kai LIU, Min HOU

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The Impact of Social Media Advertising on Consumers' Purchasing Decisions by Deng Li

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Applicability of China’s First Generation of Global Land Surface Reanalysis Monthly Precipitation Products in the Yangtze River Basin by WANG Wen-peng, ZHANG Xin-yue, CUI Jun-hao, WU Guang-dong, ZHANG Tian-yu, LIU Bo

Subjects: “…cra|reanalysis data|applicability assessment|precipitation|drought|yangtze river basin…”
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Providing contexts for classification of transients in a wide-area sky survey: An application of noise-induced cluster ensemble by Tossapon Boongoen, Natthakan Iam-On, James Mullaney

“…With new sensor systems that capture sky survey at high quality level, analyzing the resulting data within a limited time frame appears to be the next challenge. …”
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Classification of Epileptic Seizures by Simple Machine Learning Techniques: Application to Animals’ Electroencephalography Signals by Illia Pidvalnyi, Anna Kostenko, Oleksandr Sudakov, Dmytro Isaev, Oleksandr Maximyuk, Oleg Krishtal, Olena Iegorova, Ievgen Kabin, Zoya Dyka, Steffen Ortmann, Peter Langendorfer

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Integrating Fuzzy C-Means and DBSCAN: A Hybrid Approach to Medical Data Mining by Vikas Kaduskar, Anurag Srivastava, Saif O. Husain, Manish Gupta, Vinod Patil

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A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case by Jose Miguel Riquelme-Dominguez, Manuel Carranza-García, Pedro Lara-Benítez, Francisco M. González-Longatt

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Discussing the spectrum of physics-enhanced machine learning: a survey on structural mechanics applications by Marcus Haywood-Alexander, Wei Liu, Kiran Bacsa, Zhilu Lai, Eleni Chatzi

“…The intersection of physics and machine learning has given rise to the physics-enhanced machine learning (PEML) paradigm, aiming to improve the capabilities and reduce the individual shortcomings of data- or physics-only methods. In this paper, the spectrum of PEML methods, expressed across the defining axes of physics and data, is discussed by engaging in a comprehensive exploration of its characteristics, usage, and motivations. …”
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GeaGrow: a mobile tool for soil nutrient prediction and fertilizer optimization using artificial neural networks by Olusegun Folorunso, Oluwafolake Ojo, Mutiu Busari, Muftau Adebayo, Joshua Adejumobi, Daniel Folorunso, Femi Ayo, Orobosade Alabi, Olusola Olabanjo

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The Pearson χ²-Divergence Measure for Doubly Truncated Random Variables by P. Akila, Rajesh Moharana

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Research on the Evolution of Operator’s SDP in Mobile Internet Era by Bin Dong, Wei Pan, Zheng Wang, Yanjie Zhao

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Digital twin method and application practice of spacecraft system driven by mechanism data [version 2; peer review: 1 approved, 2 approved with reservations] by Zhou Fanli, Huang Lei, Shang Shuai, Wang Wei, Zhou Haocheng

“…In this paper, significant progress is made in multiple key technologies, such as cyber-physical system modeling and simulation, hybrid modeling and model evolution through mechanism-data fusion, and interactive virtual-reality perception and mapping. …”
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Integration of smart grid with Industry 5.0: Applications, challenges and solutions by Sunawar khan, Tehseen Mazhar, Tariq Shahzad, Muhammad Amir khan, Ateeq Ur Rehman, Habib Hamam

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Methods for Brain Connectivity Analysis with Applications to Rat Local Field Potential Recordings by Anass B. El-Yaagoubi, Sipan Aslan, Farah Gomawi, Paolo V. Redondo, Sarbojit Roy, Malik S. Sultan, Mara S. Talento, Francine T. Tarrazona, Haibo Wu, Keiland W. Cooper, Norbert J. Fortin, Hernando Ombao

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Unified Hybrid Censoring Samples from Power Pratibha Distribution and Its Applications by Hebatalla H. Mohammad, Khalaf S. Sultan, Mahmoud M. M. Mansour

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Vibration, current, torque, RPM dataset for multiple fault conditions in industrial-scale electric motors under randomized speed and load variationsMendeley DataMendeley DataMendel... by Wonho Jung, Junho Kim, Kangmin Jang, Sung-Hyun Yun, Daeguen Lim, Minje Jin, Yong-Hwa Park

“…The recorded sensor signals include three-phase current data (R-, S-, T-phase), vibration data (z-axis), and torque data. …”
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