Bayesian Regularized Neural Network Model Development for Predicting Daily Rainfall from Sea Level Pressure Data: Investigation on Solving Complex Hydrology Problem by Lu Ye, Saadya Fahad Jabbar, Musaddak M. Abdul Zahra, Mou Leong Tan

“…The results revealed that the efficacy of AI models is predicting daily rainfall one day before. …”
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Enhancing peer assessment with artificial intelligence by Keith J. Topping, Ed Gehringer, Hassan Khosravi, Srilekha Gudipati, Kaushik Jadhav, Surya Susarla

“…RIPPLE engages students in a trio of intertwined activities: creation, review and personalized practice, generating many resource types. AI-driven real-time feedback is given but students are counseled to assess whether it is accurate. …”
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糖化血红蛋白A1（GHbA1）和糖化血红蛋白A1c(GHbA1c)测定法及其在糖尿病临床上应用的意义——Ⅱ.糖化血红蛋白A1c色谱法测定及其在糖尿病临床上的应用... by 余斌杰

“…糖化血红蛋白A1（GHbAI）化学法测定对评价糖尿病病情控制程度有实用价值。GHbAI中包括GHbIa、AIb、AIc、AId、AIc等五部份,以前三者为主要。…”
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Digital twins for green roofs and facade inspection using drones and multi-modal foundation models by Krause Nils Soeren, Ploennigs Joern

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Some Properties of Distances and Best Proximity Points of Cyclic Proximal Contractions in Metric Spaces by M. De La Sen, Asier Ibeas

“…This paper presents some results concerning the properties of distances and existence and uniqueness of best proximity points of p-cyclic proximal, weak proximal contractions, and some of their generalizations for the non-self-mapping T:⋃i∈p-Ai→⋃i∈p-Bi  (p≥2), where Ai and Bi, ∀i∈p-={1,2,…,p}, are nonempty subsets of X which satisfy TAi⊆Bi,∀i∈p-, such that (X,d) is a metric space. …”
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Lighting the way forward: The bright future of photonic integrated circuits by M.A. Butt, B. Janaszek, R. Piramidowicz

“…With potential applications in 5G, data centres, quantum communication, and AI, integrated optics is crucial for future communication technologies. …”
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Exploring small-scale optimization coupling learning approaches for enterprises’ financial health forecasts by Lin Zhu, Zhihua Zhang, M. James C. Crabbe

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Low carbon performance evaluation of China's power industry driven by artificial intelligence—Take Shanghai Electric Power Co., Ltd. as an example by Anyuan Zhang

“…., Ltd. as an example under the background of impact of AI on low-carbon production as an example. Through the DPSIR-TOPSIS analysis driven by AI, the enterprise should have a clearer planning and understanding of the future strategy. …”
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High-performance federated continual learning algorithm for heterogeneous streaming data by Hui JIANG, Tianliu HE, Min LIU, Sheng SUN, Yuwei WANG

“…Aiming at the problems of poor model performance and low training efficiency in training streaming data of AI models that provide intelligent services, a high-performance federated continual learning algorithm for heterogeneous streaming data (FCL-HSD) was proposed in the distributed terminal system with privacy data.In order to solve the problem of the current model forgetting old data, a model with dynamically extensible structure was introduced in the local training stage, and an extension audit mechanism was designed to ensure the capability of the AI model to recognize old data at the cost of small storage overhead.Considering the heterogeneity of terminal data, a customized global model strategy based on data distribution similarity was designed at the central server side, and an aggregation-by-block manner was implemented for different modules of the model.The feasibility and effectiveness of the proposed algorithm were verified under various data increment scenarios with different data sets.Experimental results show that, compared with existing works, the proposed algorithm can effectively improve the model performance to classify old data on the premise of ensuring the capability to classify new data.…”
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The effect of algoritmics government, artificial intelligence, and tax service on tax compliance by Akbari Adha, Rulinawaty Rulinawaty, Faizal Madya

“…The results found that algorithmic government, AI, and tax services, partially and simultaneously, affect tax compliance among taxpayers. …”
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Existence of Three Positive Solutions for m-Point Discrete Boundary Value Problems with p-Laplacian by Yanping Guo, Wenying Wei, Yuerong Chen

“…We consider the multi-point discrete boundary value problem with one-dimensional p-Laplacian operator Δ(ϕp(Δu(t−1))+q(t)f(t,u(t),Δu(t))=0, t∈{1,…,n−1} subject to the boundary conditions: u(0)=0, u(n)=∑i=1m−2aiu(ξi), where ϕp(s)=|s|p−2s,p>1,ξi∈{2,…,n−2} with 1<ξ1<⋯<ξm−2<n−1 and ai∈(0,1),0<∑i=1m−2ai<1. Using a new fixed point theorem due to Avery and Peterson, we study the existence of at least three positive solutions to the above boundary value problem.…”
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Cognitive Mimetics for Designing Intelligent Technologies by Tuomo Kujala, Pertti Saariluoma

“…We conclude by a practical example showing how cognitive mimetics can be a highly valuable complimentary approach for pattern matching and machine learning based design of artificial intelligence (AI) for solving specific human-AI interaction design problems.…”
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Editorial by Thomas D. Wilson

“…Since we last published (in the middle of December), generative AI continues to make the headlines, particularly with Google’s attempts to satisfy the demands for “diversity”, by generating images of black, female Nazi soldiers. …”
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From blitzkrieg to blitzscaling: Assessing the impact of venture capital dynamics on military norms by Elke Schwarz

“…A similar trend is noticeable in Europe, where billions are funnelled into AI-drone startup companies, spurred by escalating conflicts around the globe. …”
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The Automation of Document Indexing in Senegalese University Libraries through Artificial Intelligence: Analysis of Practices and Stakeholder Perceptions by Ndiène NDOUR

“…Some believe that the future of indexing will be promising with AI tools, while others, conversely, feel a strong sense of anxiety. …”
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A Theoretical Framework for Interrogating the Integration of Artificial Intelligence in Education by Tarisayi Kudzayi Savious

“…Artificial intelligence (AI) and machine learning have become increasingly important in modern society and are poised to play an increasingly prominent role in education. …”
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Editorial Board

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Artificial intelligence: a useful tool in active tuberculosis screening among vulnerable groups in Romania - advantages and limitations by Beatrice Mahler, Beatrice Mahler, Beatrice Mahler, Alexandru Stoichiță, Alexandru Stoichiță, Alexandru Stoichiță, Dragoș Băiceanu, Dragoș Băiceanu, Traian-Constantin Panciu, Traian-Constantin Panciu, Dragoș Dendrino, Dragoș Dendrino, Mihaela Mihai, Mihaela Mihai, Raluca Bobocea, Elmira Ibraim, Elmira Ibraim, Mara Bălteanu, Mara Bălteanu, Oana Popescu, Oana Popescu, Mădălina Oana Burecu, Mădălina Oana Burecu, Ioana Mădălina Moșteanu, Ioana Mădălina Moșteanu, Vanessa Veronese, Radu Matache, Radu Matache, Ioana Munteanu, Ioana Munteanu, Ioana Munteanu, Cristina Popa, Cristina Popa, Justina Antonela Dragomir, Justina Antonela Dragomir, Justina Antonela Dragomir

“…The current study highlighted, at an AI threshold value of 0.4, that 89% of the screened people benefited from a correct assessment using the AI associated with the radiological examination. …”
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气道内超声测量慢性阻塞性肺疾病患者气道径线与 肺功能的关系

“…TL3~L5?Ai相近;右中叶支气管和右B10:COPD组的T?TL1?TL2?WA大于对照组,Ai小于对照组, P均 < 0.05,两组TL3~L5相近?…”
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Corrigendum regarding missing Declaration Conflict-of -Interests statements in previously published articles

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