Double difference earthquake location with graph neural networks by Ian W. McBrearty, Gregory C. Beroza

“…We obtain high resolution relocations in these tests, and our model shows adaptability to variable types of loss functions and location objectives, including learning station corrections and mapping into the reference frame of a different catalog. …”
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Dual-Stream Enhanced Deep Network for Transmission Near-Infrared Dorsal Hand Vein Age Estimation with Attention Mechanisms by Zhenghua Shu, Zhihua Xie, Xiaowei Zou

“…Moreover, variable activation functions and pooling layers are integrated into the respective streams to enhance the nonlinearity modeling of the dual-stream model. …”
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Pedagogical grammar as a frame concept for research in the field of foreign language teaching methods. Part 17. Linguistic and pedagogical grammar by L. Chernovaty

“…Does the amount and type of PG depend on specific learning objectives and conditions? What are the best ways of presenting PG information for its effective use in the learning process? …”
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Feature Generation-Based Fingerprint Liveness Detection: A Novel Multimodal Approach by B. R. Rajakumar, S. Amala Shanthi

“…An ablation study discloses the performance of AFL and the lion algorithm over traditional loss functions and optimizers in learning the fingerprint and generating the iris features.…”
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A hybrid approach for pattern recognition and interpretation in age-related false memory by Noorbakhsh Amiri Golilarz, Elias Hossain, Shahram Rahimi, Hossein Karimi

“…IntroductionAging is associated with a decline in essential cognitive functions such as language processing, memory, and attention, which significantly impacts the quality of life in later years. …”
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Identification and analysis of neutrophil extracellular trap-related genes in periodontitis via bioinformatics and experimental verification by Miao Yu, Zhenqi Ye, Zixin Ye, Yaping Wu, Xiang Wu

“…Differentially expressed NRGs (DE-NRGs) were identified and functionally annotated. Then, machine learning algorithms were exploited to screen hub NRGs, and a predictive model was constructed based on these hub NRGs. …”
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Modulation optimization method for seven-level SHEPWM inverter based on EPSO algorithm by Renzheng Wang, Yuncheng Zhang, Ying Chen, Zhenyao Xin, Di Fan

“…In the initialization phase, the initialized population is optimized using Opposition-Based Learning (OBL) to improve the quality of the initial population. …”
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Development of a Data‐Driven Lightning Scheme for Implementation in Global Climate Models by Vincent Verjans, Christian L. E. Franzke

“…Using satellite lightning records spanning a period of 29 years, we apply machine learning methods to derive a functional relationship between lightning and climate reanalysis data. …”
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Design and Implementation of Remote Lab PID Controller Experiment Based on IoT by Mohammed Eishorafa, Cüneyt Bayılmış, İhsan Pehlivan, Emin Güney

“…The education sector has increasingly embraced distance education to ensure a safe and uninterrupted learning process, especially in wars or epidemics. …”
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Robust multi-label surgical tool classification in noisy endoscopic videos by Adnan Qayyum, Hassan Ali, Massimo Caputo, Hunaid Vohra, Taofeek Akinosho, Sofiat Abioye, Ilhem Berrou, Paweł Capik, Junaid Qadir, Muhammad Bilal

“…Abstract Over the past few years, surgical data science has attracted substantial interest from the machine learning (ML) community. Various studies have demonstrated the efficacy of emerging ML techniques in analysing surgical data, particularly recordings of procedures, for digitising clinical and non-clinical functions like preoperative planning, context-aware decision-making, and operating skill assessment. …”
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The use of artificial intelligence in induced pluripotent stem cell-based technology over 10-year period: A systematic scoping review. by Quan Duy Vo, Yukihiro Saito, Toshihiro Ida, Kazufumi Nakamura, Shinsuke Yuasa

“…The integration of artificial intelligence (AI), especially machine learning (ML) and deep learning (DL), has played a pivotal role in refining iPSC classification, monitoring cell functionality, and conducting genetic analysis. …”
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The Behavior Specialist in Inclusive Schools: Navigating Power, Support, and Intervention for Behaviours of Concern by Miriam Colum, Shauna Cullen

“…Behaviors of concern (BoC) may be defined as persistent behaviors that impact the daily functioning and learning of children. They are behaviors that could pose a risk to their own safety or the safety of others. …”
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Optimised Neural Network Model for Wind Turbine DFIG Converter Fault Diagnosis by Ramesh Kumar Behara, Akshay Kumar Saha

“…VMD’s robustness stems from its ability to decompose a signal into intrinsic mode functions (IMFs) with well-defined centre frequencies and bandwidths. …”
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Features of Designing a Web-Service of Didactic Materials by Yulya Khritonenko, Sergey Kozlov

“…The primary task is to identify the appropriate types of roles and their functional capabilities, which is necessary to identify the scheme of user interaction with the service. …”
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A survey of multimodal composite editing and retrieval by Suyan Li, Fuxiang Huang, Lei Zhang

“…A comprehensive evaluation and usage guide is needed to fully assess its capabilities and limitations, since it complements and extends the functionalities provided by multimodal retrieval systems. …”
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Digital technologies in the educational process in physical education by M. V. Katrenko, T. A. Kulikova, N. A. Poddubnaya, Yu. I. Zhuravleva

“…The characteristics and functionality of the digital educational tools were studied for the application in the educational process. …”
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Exploring the job resources experienced by employees with hearing impairment in South Africa by Strauss Chelius, Bouwer E. Jonker, Marissa Brouwers

“…Broadly stated, the learning, motivation and task completion of EwHIs are functions of social integration and effective communication in the workplace. …”
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Advancing Emotionally Aware Child–Robot Interaction with Biophysical Data and Insight-Driven Affective Computing by Diego Resende Faria, Amie Louise Godkin, Pedro Paulo da Silva Ayrosa

“…The emotion recognition system combines handcrafted and deep learning features for facial expressions, achieving an 85% classification accuracy during real-time CRI, while speech emotions are analyzed using acoustic features processed through machine learning models with an 83% accuracy rate. …”
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A Systematic Literature Review on Serious Games Methodologies for Training in the Mining Sector by Claudia Gómez, Paola Vallejo, Jose Aguilar

“…., GML and UML) and metamodeling are important in SG development. (2) SG is a significant mechanism for cooperative and participative learning strategies. (3) Virtual Reality technology is widely used in safe virtual environments for mining training. (4) There is a need for methodologies that integrate the specification of cognitive functions with the affective part of the users for SGs suitable for learning environments. …”
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ADA-NAF: Semi-Supervised Anomaly Detection Based on the Neural Attention Forest by Andrey Ageev, Andrei Konstantinov, Lev Utkin

“…The key idea behind ADA-NAF is the incorporation of NAF into an autoencoder structure, where it implements functions of a compressor as well as a reconstructor of input vectors. …”
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