Mobile language app learners’ self-efficacy increases after using generative AI by Audrey K. Kittredge, Elise W. M. Hopman, Ben Reuveni, Danielle Dionne, Cassie Freeman, Xiangying Jiang

“…IntroductionAlthough generative artificial intelligence (AI) is ubiquitous, there is little research on how it supports self-efficacy (learners’ belief that they can perform at a particular level on a specific task). …”
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A dual-stream model based on PRNU and quaternion RGB for detecting fake faces. by Mohan Hua, Shuangliang Li, Jinwei Wang

“…The forensic examination of AIGC(Artificial Intelligence Generated Content) faces poses a contemporary challenge within the realm of color image forensics. …”
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Speculative Criminality at Home: Bypassing Tenant Rights Through Police Surveillance in Detroit’s Rental Housing by Rae Baker

“…Relying on the automation of policing and racially biased artificial intelligence perpetuates criminality based on race, class, and perceived gender while additionally tying those experiences to the bundle of rights associated with the ownership of property.…”
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Graph-Attention Diffusion for Enhanced Multivariate Time-Series Anomaly Detection by Vadim Lanko, Ilya Makarov

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Fire Video Recognition Based on Local and Global Adaptive Enhancement by Jian Ding, Yun Yi, Tinghua Wang, Tao Tian

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Using transformer-based models and social media posts for heat stroke detection by Sumiko Anno, Yoshitsugu Kimura, Satoru Sugita

“…We also evaluated the efficacy of combining SNS and artificial intelligence for event-based public health surveillance by visualizing the data on correctly classified tweets and heat stroke emergency medical evacuees in time–space and animated video, respectively. …”
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Insurance with telematics as an insurance market driver: regulation and prospects by A. V. Romanova, S. Yu. Shchukin, S. V. Chelokidi, N. E. Spirina

“…However, the possibilities of introducing artificial intelligence and big data (AI and DB) into the regulated sphere, which is insurance, are usually limited compared to unregulated sectors. …”
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Battery Prognostics and Health Management: AI and Big Data by Di Li, Jinrui Nan, Andrew F. Burke, Jingyuan Zhao

“…In the Industry 4.0 era, integrating artificial intelligence (AI) with battery prognostics and health management (PHM) offers transformative solutions to the challenges posed by the complex nature of battery systems. …”
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A Comprehensive Review of Dropout Prediction Methods Based on Multivariate Analysed Features of MOOC Platforms by Saad Alghamdi, Ben Soh, Alice Li

“…Accordingly, MOOCs dropout prediction models require more sophisticated artificial intelligence models that can address these limitations. …”
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Characterization of Road Condition with Data Mining Based on Measured Kinematic Vehicle Parameters by Johannes Masino, Jakob Thumm, Guillaume Levasseur, Michael Frey, Frank Gauterin, Ralf Mikut, Markus Reischl

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A hybrid approach to analyzing factors influencing international student retention in Turkish higher education: integrating fuzzy DEMATEL, machine learning, and statistical methods by Serra Usta Ergun

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Federated Learning for Brain Tumor Diagnosis: Methods, Challenges and Future Prospects by Ma Yuhan

“…With the widespread application of Artificial Intelligence (AI) and Machine Learning (ML) in medical field, early diagnosis of brain tumors has become increasingly significant. …”
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Vibration Analysis for Machine Monitoring and Diagnosis: A Systematic Review by Mohamad Hazwan Mohd Ghazali, Wan Rahiman

“…It involves data acquisition (instrument applied such as analyzer and sensors), feature extraction, and fault recognition techniques using artificial intelligence (AI). Several research questions (RQs) are aimed to be answered in this manuscript. …”
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Utilizing the Novel Developed MLP Techniques to Survey Pile Subsidence via Optimization Algorithms by Augustinus Sieck, Graciela Daniels

“…In this regard, most research has tried to figure out the subsidence rate in piles after loading overtime via artificial intelligence methods. The Artificial Neural Network, as a widespread method, has absorbed attention to draw the actual picture of pile movement vertically during the loading period. …”
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Aggregating, Summarizing, and Restructuring News-Related Tweets into Compositions Using Deep Learning by Richa Sharma, Anjali Thukral, Yatin Kapoor, Ashwani Varshney, Punam Bedi

“…Therefore, this study proposes a framework to automatically generate short news compositions from tweets utilizing state-of-the-art artificial intelligence techniques. The proposed framework scrapes tweets from authentic news Twitter handles, semantically analyzes and clusters them, predicts sentence ordering of the formed clusters, and summarizes the text of the clusters to produce structured compositions automatically. …”
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Digitalisation as a competitive advantage of Rosatom State Corporation by V. V. Degtyareva, D. A. Murzintseva

“…The process of digital transformation includes the introduction of artificial intelligence, a digital twin, the Internet of things, which also changes the methodology of enterprise management and production, the infrastructure sector, high-tech modeling, automation of design and construction. …”
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Machine learning approaches to Landsat change detection analysis by Galen Richardson, Anders Knudby, Morgan A. Crowley, Michael Sawada, Wenjun Chen

“…This review provides an overview of different Landsat change detection approaches using machine learning, outlines a framework for understanding the relevant considerations, and discusses recent developments such as generative artificial intelligence, explainable machine learning, and ethical analysis considerations.…”
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Chemical Recruitment for Foraging in Ants (Formicidae) and Termites (Isoptera): A Revealing Comparison by Klaus Jaffe, Solange Issa, Cristina Sainz-Borgo

“…This evolutionary analogy suggests that chemical mass recruitment is constraint by fundamental physical dynamic laws. Artificial intelligence including “mass intelligence” and “ant intelligence”, emulates mass recruitment in interacting virtual agents in search of optimal solutions. …”
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Antenna Optimization Based on Auto-Context Broad Learning System by Wei-Tong Ding, Fei Meng, Yu-Bo Tian, Hui-Ning Yuan

“…Broad learning system (BLS), as an emerging network with strong extraction ability and remarkable computational efficiency, has revolutionized the conventional artificial intelligence (AI) methods and overcome the shortcoming of excessive time-consuming training process in deep learning (DL). …”
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Improved Set-point Tracking Control of an Unmanned Aerodynamic MIMO System Using Hybrid Neural Networks by Oduetse Matsebe, David Mohammed Ezekiel, Ravi Samikannu

“…Artificial neural networks (ANN), an Artificial Intelligence (AI) technique, are both bio-inspired and nature-inspired models that mimic the operations of the human brain and the central nervous system that is capable of learning. …”
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