Accuracy Enhancement for Forecasting Water Levels of Reservoirs and River Streams Using a Multiple-Input-Pattern Fuzzification Approach by Nariman Valizadeh, Ahmed El-Shafie, Majid Mirzaei, Hadi Galavi, Muhammad Mukhlisin, Othman Jaafar

“…Recently, modern methods utilizing artificial intelligence, fuzzy logic, and combinations of these techniques have been used in hydrological applications because of their considerable ability to map an input-output pattern without requiring prior knowledge of the criteria influencing the forecasting procedure. …”
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Pri-DDQN: learning adaptive traffic signal control strategy through a hybrid agent by Yanliu Zheng, Juan Luo, Han Gao, Yi Zhou, Keqin Li

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Designing Development Readiness Indicators and Roadmap for Petaflops Scale Supercomputers by Davood Maleki, Mohammad Reza Ahmadi, Alireza Mansouri, Ehsan Arianyan

“…Recently, supercomputers and high-performance computing (HPC) have caused significant progress in many fields, including industrial and research fields of artificial intelligence, data science, big data, Internet of Things, as well as large scale web applications. …”
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Global trends of delayed graft function in kidney transplantation from 2013 to 2023: a bibliometric analysis by Zhiling Yao, Mingqian Kuang, Zhen Li

“…These emerging trends include ‘brain death donors’, ‘blood absence re-injection injuries’, ‘tacrolimus’, ‘older donors and recipients’, and ‘artificial intelligence and DGF’. In summary, this study reveals the authors and institutions that could be cooperated with and discusses the research hotspots in the past ten years. …”
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Modern Imaging Methods in the Diagnosis of Neurodegenerative Diseases by Paulina Dorota Pietrukaniec, Bartosz Omasta, Katarzyna Kamińska-Omasta, Olga Krupa, Daria Rybak, Kuba Borys Romańczuk, Magdalena Agata Czerska, Szymon Przemysław Stolarczyk, Zofia Martyna Wójcik, Kinga Furtak

“…In addition, the prospects for the development of these technologies, including the use of artificial intelligence and new biomarkers in diagnosis, are also discussed. …”
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A tunable multi-timescale Indium-Gallium-Zinc-Oxide thin-film transistor neuron towards hybrid solutions for spiking neuromorphic applications by Mauricio Velazquez Lopez, Bernabe Linares-Barranco, Jua Lee, Hamidreza Erfanijazi, Alberto Patino-Saucedo, Manolis Sifalakis, Francky Catthoor, Kris Myny

“…Such hardware, mainly digital, is typically built on mature silicon nodes. Future artificial intelligence applications will demand the execution of tasks with increasing complexity and over timescales spanning several decades. …”
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Expert review of AI-generated responses to the top ten patient complaints in primary care by Monica Gillie, George Kent

“… Background: Artificial intelligence (AI) systems such as ChatGPT are among the fastest-growing applications of all time. …”
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Multi-Step-Ahead Prediction of Chaotic Time Series: Self-Healing Algorithm for Restoring Values at Non-Predictable Points by Vasilii A. Gromov, Korney K. Tomashchuk, Alexey Rukavishnikov A.

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Papillary Thyroid Carcinoma Semantic Segmentation Using Multi-Scale Adaptive Convolutional Network With Dual Decoders by Thanat Payatsuporn, Pittipol Kantavat, Nichthida Tangnuntachai, Nopporn Tipparawong, Waratchanok Techapapa, Boonserm Kijsirikul, Somboon Keelawat

“…According to the advances in artificial intelligence (AI) technology, semantic segmentation is used to support medical personnel. …”
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A Comprehensive Review of Ergonomics and Human Factors Engineering for Enhancing Comfort and Efficiency in Transport Systems by Petruța Blaga, Bianca-Mihaela Cășeriu, Bogdan Bucur, Cristina Veres

“…It further highlights how applying ergonomic principles optimizes human–machine interactions, improving user comfort and safety while providing a basis for future innovations in artificial intelligence and adaptive ergonomics. This study introduces a novel hybrid methodology combining bibliometric analysis and case studies to provide fresh insights into the application of ergonomics and human factors engineering, bridging gaps between civilian and military transport systems. …”
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Optimizing Supply Chain Resilience Using Advanced Analytics and Computational Intelligence Techniques by Jie Xu, Lixing Bo

“…This paper presents a novel resilient supply chain management (SCM) structure leveraging advanced artificial intelligence (AI) techniques, specifically Long Short-Term Memory (LSTM) networks and Particle Swarm Optimization (PSO). …”
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Current status and future prospects of molecular imaging in targeting the tumor immune microenvironment by Xiang Wang, Xiang Wang, Weifen Shen, Weifen Shen, Lingjun Yao, Lingjun Yao, Chao Li, Chao Li, Huiming You, Huiming You, Duancheng Guo, Duancheng Guo

“…The future outlook emphasizes the potential of molecular imaging to enhance personalized cancer treatment through the integration of artificial intelligence and the development of novel imaging probes. …”
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数智赋能心脑血管病危险因素监测与防治：现状和展望 Digital Intelligence Empowering the Monitoring and Prevention of Cardio-Cerebrovascular Disease Risk Factors: Current Status and Prospect... by 刘利强，李光耀，吉训明 (LIU Liqiang, LI Guangyao, JI Xunming )

“…Abstract: With the rise of wearable devices, artificial intelligence, big data, and other techniques, the management of chronic diseases has been continuously evolving towards digital intelligence. …”
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Path Planning for Fully Autonomous UAVs-A Taxonomic Review and Future Perspectives by Geeta Sharma, Sanjeev Jain, Radhe Shyam Sharma

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AI-driven video summarization for optimizing content retrieval and management through deep learning techniques by Deepali Vora, Payal Kadam, Dadaso D Mohite, Nilesh Kumar, Nimit Kumar, Pratheeik Radhakrishnan, Shalmali Bhagwat

“…Abstract With the rapid advancement of artificial intelligence, questions are increasingly being raised by stakeholders regarding how such technologies can enhance the environmental, social, and governance outcomes of organizations. …”
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Optimization of Video Stimuli Parameters in EMDR Therapy Using Artificial Neural Networks for Enhanced Treatment Efficacy by Jungho Suh, Sungbok Chang, Hyunjun Park

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Técnicas subliminares, o Direito e os sentidos by Célia F. Matias

“…A recente monografia The EU Artificial Intelligence Act: Regulating Subliminal AI Systems (em tradução livre: O Regulamento Inteligência Artificial da UE: regulação de sistemas de IA subliminares), de Rostam J. …”
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Exploring the application of AI in the education of children with autism: a public health perspective by Liu Lan, Ke Li, Diao Li

“…Recent advancements in artificial intelligence (Al), particularly Transformer-based models, offer a novel opportunity to enhance and personalize social skills training.MethodsThis study introduces a Public Health-Driven Transformer (PHDT) model specifically designed to improve social skills in children with ASD. …”
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ChatGPT as a data analyst: an exploratory study on AI-supported quantitative data analysis in empirical research by Dimitri Prandner, Daniela Wetzelhütter, Sönke Hese

“…To address these challenges, generative artificial intelligence, such as ChatGPT, can now be employed as ‘assistants’—with both associated risks and benefits. …”
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LingoTrip: Spatiotemporal context prompt driven large language model for individual trip prediction by Zhenlin Qin, Pengfei Zhang, Leizhen Wang, Zhenliang Ma

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