AI and the News: Challenges Arisen From the Adoption of AI in News Production by George Pleios, Michalis Tastsoglou

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A composite Feature Selection Method to improve Classifying Imbalanced Big Data by Shaymaa Razoqi, Ghayda Al-Talib

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Advances in authentication and security protocols for 5G networks: a comprehensive survey by Sunil Kumar Patel, Satya Bhushan Verma, Bineet Kumar Gupta, Shubham Singh, E. Naresh, Piyush Kumar Pareek

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Socioeconomic and Cultural Determinants of the Development of Artificial Intelligence by Sorin Paul Lazăr, Iustin Atanasiu Pop, Maria Mortan

“…Socioeconomic determinants include economic development and the speed of economic growth, funding for education and research and development, high-tech exports, urbanisation, population, and workforce. …”
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FROM SURVEYING TO GEOMATICS by BESIM AJVAZI, FISNIK LOSHI, BÉLA MÁRKUS

“…In the first chapter the authors would like to highlight the “data-information-knowledge” relations and the importance of changes in professional education. The second chapter gives an example of the benefits of a Global Spatial Data Infrastructure in spatial decision support. …”
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Classification of ophthalmic segment internal carotid artery aneurysms: a literature review by Irina N. Sever, Anna E. Gerasyuta, Dmitry V. Litvinenko, Vyacheslav V. Tkachev

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Design of intelligent English translation teaching system combined with bidirectional encoder representation by Shanshan Xu

“…With the continuous progress of artificial intelligence technology, an intelligent education system has become an essential means to improve teaching efficiency and quality. …”
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Neutron Spectrum Unfolding Method Based on Compressed Sensing Theory by WU Guanghao1, SHAO Gang2, SHI Guang3, LIU Bin4, 5, PAN Liangming4, 5, WANG Feng4, 5, ZHOU Xiaowei4, 5

Aerodynamic Optimization of Morphing Airfoil by PCA and Optimization-Guided Data Augmentation by Ao Guo, Jing Wang, Miao Zhang, Han Wang

“…A Multi-Island Genetic Algorithm (MIGA) efficiently explores the reduced design space, while iterative retraining of the surrogate model enhances prediction accuracy, particularly in high-performance regions. …”
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A Scale‐Adaptive Urban Hydrologic Framework: Incorporating Network‐Level Storm Drainage Pipes Representation by Taher Chegini, Hong‐Yi Li, Y. C. Ethan Yang, Günter Blöschl, L. Ruby Leung

“…Furthermore, analysis reveals nonlinear relationships between BUSNs' designed capacities and flood reduction effects. Our approach bridges the gap between detailed hydraulic and large‐scale hydrologic models, providing a valuable tool for urban flood prediction and management across broader spatial and temporal scales.…”
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Multi‐Model Assessment of PCA‐Informer Hybrid Model Against Empirical and Deep Learning Methods in TEC Forecasting by Yang Lin, Hanxian Fang, Die Duan, Ding Yang, Hongtao Huang, Chao Xiao, Ganming Ren

“…Consequently, there is a great interest in the prediction of TEC. In this study, we integrated the Informer deep learning algorithm and Principal Component Analysis (PCA), a dimensionality reduction technique, to achieve spatio‐temporal modeling for forecasting the global TEC maps. …”
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AUTOMATIC CONSTRUCTION METHODS OF ABSTRACTS ON THE BASIS OF THE TEXTS FREQUENCY ANALYSIS by F. I. Tretyakov, L. V. Serebryanaya

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The diagnostic and prognostic value of C1orf174 in colorectal cancer by Elham Nazari, Ghazaleh Khalili-Tanha, Ghazaleh Pourali, Fatemeh Khojasteh-Leylakoohi, Hanieh Azari, Mohammad Dashtiahangar, Hamid Fiuji, Zahra Yousefli, Alireza Asadnia, Mina Maftooh, Hamed Akbarzade, Mohammadreza Nassiri, Seyed Mahdi Hassanian, Gordon A Ferns, Godefridus J Peters, Elisa Giovannetti, Jyotsna Batra, Majid Khazaei, Amir Avan

“…Survival analysis was evaluated using Kaplan–Meier analysis to identify prognostic biomarkers. Predictive biomarkers were determined by machine learning algorithms such as Deep learning, Decision Tree, and Support Vector Machine. …”
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An Intelligent Method for C++ Test Case Synthesis Based on a Q-Learning Agent by Serhii Semenov, Oleksii Kolomiitsev, Mykhailo Hulevych, Patryk Mazurek, Olena Chernyk

“…An explicit synthesis algorithm constructs new test cases by selecting API calls from a learned policy encoded in a Q-table. …”
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The Study of Roadside Visual Perception in Internet of Vehicles Based on Improved YOLOv5 and CombineSORT by LI Xiaohui, YANG Jie, XIA Qin

“…According to the operational process of the algorithm given by this paper, a series of experiments are designed to validate the algorithm’s effectiveness. …”
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Land cover change mitigated 20 % of the total increased evapotranspiration in tropical Lancang-Mekong River Basin during 2001–2019 by Houbing Chen, Yaoliang Chen, Lamin R. Mansaray, Longwei Li, Shusen Wang

“…Study focus: Accurately assessing evapotranspiration (ET) change derived from land cover changes (LCCs) is challenging in tropical regions due to the large bias in existing ET products and the difficulty in improving the ET al.gorithm for tropical ecosystems. This study quantified the LCCs-driven ET in the TLMRB from 2001 to 2019 by using scenario simulations based on an improved MOD16 algorithm. …”
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A benchmark of RNA-seq data normalization methods for transcriptome mapping on human genome-scale metabolic networks by Hatice Büşra Lüleci, Dilara Uzuner, Müberra Fatma Cesur, Atılay İlgün, Elif Düz, Ecehan Abdik, Regan Odongo, Tunahan Çakır

“…The normalization method of choice for raw RNA-seq count data affects the model content produced by these algorithms and their predictive accuracy. However, a benchmark of the RNA-seq normalization methods on the performance of iMAT and INIT algorithms is missing in the literature. …”
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External phantom-based validation of a deep-learning network trained for upscaling of digital low count PET data by Anja Braune, René Hosch, David Kersting, Juliane Müller, Frank Hofheinz, Ken Herrmann, Felix Nensa, Jörg Kotzerke, Robert Seifert

“…Conclusions Phantom-based validation of AI-based algorithms allows for a detailed assessment of the performance, limitations, and generalizability of deep-learning based algorithms for PET image enhancement. …”
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Multi-omics exploration of chaperone-mediated immune-proteostasis crosstalk in vascular dementia and identification of diagnostic biomarkers by Wentong Li, Yiyi Zhang, Chuanhong Li, Mingyang Jiang, Dong Wang, Luomeng Chao, Luomeng Chao, Luomeng Chao, Yuxia Yang

“…Immune analysis revealed that this molecular chaperone axis modulates neuroinflammation by suppressing naive B cell differentiation (61% reduction) and activating Tregs (55.53% increase). …”
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Proximal Neural Networks based reconstruction for few-view CT applications by Hoang Trieu Vy Le, Caroline Bossuyt, Julie Escoda, Marius Costin, Jan De Beenhouwer, Jan Sijbers

“…Recent advancements in Plug-and-Play (PnP) algorithms have shown promise for solving imaging inverse problems by utilizing the capabilities of Gaussian denoising algorithms to handle complex optimization tasks. …”
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