An Overview of the Indian Monsoon Using Micropaleontological, Geochemical, and Artificial Neural Network (ANN) Proxies During the Late Quaternary by Harunur Rashid, Xiaohui He, Yang Wang, C. K. Shum, Min Zeng

“…Moreover, seasonally reversing monsoon gyre and associated currents govern the northern Indian Ocean surface oceanography. …”
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Research and Application on Automatic Stratigraphic Sequence Division and Comparison Method Based on Integrated Prediction Error Filter Analysis by NING Weifeng, WANG Caizhi, JIANG Qingchun, LIU Yingming, WANG Hao, WEI Xingyun, LIN Yaoqiang

“…Despite the significant advantages of this technique in revealing the stratigraphic structure, its application process currently still relies on manual operation, which not only increases the complexity of processing, but also limits the efficiency of analysis. …”
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Brown adipose tissue machine learning nnU-Net V2 network using TriDFusion (3DF) by Daniel Lafontaine, Stephanie Chahwan, Gustavo Barraza, Burcin Agridag Ucpinar, Gunjan Kayal, Nicolás Gómez-Banoy, Paul Cohen, John L. Humm, Heiko Schöder

“…The introduction of machine learning algorithms, such as the PET/CT algorithm implemented in the TriDFusion (3DF) Image Viewer, represents a significant advancement in BAT detection. …”
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Research on Fracture Energy Prediction and Size Effect of Concrete Based on Deep Learning with SHAP Interpretability Method by Huiming Wang, Weiqi Zhang, Jie Lin, Shengpin Guo

“…Fracture energy plays a pivotal role in ensuring the safe design of concrete structures. Currently, experimental testing remains the predominant methodology for exploring fracture energy in concrete. …”
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The relationship between clinical-anamnestic data and cell-free fetal DNA level assessed by semiconductor sequencing within non-invasive prenatal testing by E. S. Vashukova, O. A. Tarasenko, A. R. Maltseva, A. K. Popova, O. V. Pachuliia, O. N. Bespalova, A. S. Glotov

“…Introduction. Currently, non-invasive prenatal testing (NIPT) is widely used to assess a risk of fetal chromosomal anomalies. …”
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CTAB modified SnO₂ PEDOT PSS heterojunction humidity sensor with enhanced sensitivity stability and machine learning evaluation by Poundoss Chellamuthu, Kirubaveni Savarimuthu, M Gulam Nabi Alsath, R. Krishnamoorthy, Yuvaraj T, Feras Alnaimat, Mohammad Shabaz

“…Electrochemical impedance spectroscopy (EIS) and current-voltage (J-V) measurements demonstrated that SnO-5 exhibited a low internal resistance (1.1 kilo ohms (kΩ)), a minimal cut-in voltage (0.071 Volts (V)), and a high current response (2.645 micro Amps.…”
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A Cloud Computing-Based Intelligent Forecasting Method for Cross-Border E-Commerce Logistics Costs by Yanting Li

“…Aiming at the problems of poor forecasting effect and low accuracy and low efficiency in current cross-border e-commerce logistics cost prediction methods, a cloud computing-based intelligent method for cross-border e-commerce logistics cost prediction is proposed. …”
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A Beam Search Framework for Quantum Circuit Mapping by Cheng Qiu, Pengcheng Zhu, Lihua Wei

“…The optimization problem of quantum circuit mapping has NP-hard computational complexity, and existing heuristic mapping algorithms still have significant potential for optimization in terms of the number of quantum gates generated. …”
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Fake News Detection Using Machine Learning Ensemble Methods by Iftikhar Ahmad, Muhammad Yousaf, Suhail Yousaf, Muhammad Ovais Ahmad

“…By using those properties, we train a combination of different machine learning algorithms using various ensemble methods and evaluate their performance on 4 real world datasets. …”
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Artificial intelligence applications in pediatric ophthalmology: A comprehensive review by Anupama Janardhanan, Meenakshi Ravindran, Allapitchai Fathima, Neelam Pawar

“…This review examines the current applications of AI in pediatric ophthalmology, synthesizing findings from various studies to illuminate both the promising opportunities and the challenges that remain. …”
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Open-Circuit Fault Analysis and Recognition in Three-Level Inverters Based on Recurrence Plot and Convolution Neural Network by Jianjun Yan, Yanxing Huang, Shuai Yuan, Yufan Lu, Zeyu Yu

“…Using advanced simulation tools and nonlinear dynamic methods, we develop a new diagnostic model that outperforms existing fault classification algorithms. By converting the current signal into an unthreshold recurrence plot (URP) and mapping its nonlinear features to a two-dimensional plane, it is possible to extract key spatial information and train a residual neural network model for fault diagnosis. …”
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Introduction pages, Nova Geodesia 5(3), 2025 by Paul SESTRAS

“…Among the exciting articles, we invite readers to find news about: Leveraging carbon financing technologies for enhancing rural livelihood resilience in climate-vulnerable communities: A global perspective; An investigation into particulate soil quality materials and the relationship with selected aggregate stability in four contrasting soils; Current status and integrated restoration approaches in Haramaya Lake Watershed development; Multi-Resolution analysis of gravity anomalies: A comparative study of modern and spherical approximation techniques; Integration of UAV-Derived Digital Elevation Model and GNSS for Orthometric Height Determination in Urban Mapping; Multi-decadal change detection of coastal dune landscapes using different supervised image classification algorithms; SBAS-InSAR analysis for deformation monitoring in landslide-prone areas: A case study of Murang’a and Nyeri Counties in Kenya. …”
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Architecture and Application-Aware Management of Complexity of Mapping Multiplication to FPGA DSP Blocks in High Level Synthesis by Sharad Sinha, Thambipillai Srikanthan

“…Multiplication is a common operation in many applications and there exist various types of multiplication operations. Current high level synthesis (HLS) flows generally treat all multiplication operations equally and indistinguishable from each other leading to inefficient mapping to resources. …”
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Analysis of Energy Sustainability and Problems of Technological Process of Primary Aluminum Production by Yury Valeryevich Ilyushin, Egor Andreevich Boronko

“…Improving MHDS control is important because of the high costs and reduced efficiency caused by the instability of magnetic and current fields. In this work, a methodological analysis of modern theoretical and numerical methods for studying MHDS was carried out, and approaches to optimizing magnetic fields and control algorithms aimed at stabilizing the process and reducing energy costs were considered. …”
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Dynamics of Robo-Advisory Financial Services in Saudi Arabia by Heba Gazzaz

“…It also presents the current robo-advisory industry of Saudi Arabia and evaluates its financial performance using multiple indicators from 2017 to 2029. …”
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A Bibliometric Analysis of Publications on Surveillance and New Media Concepts in The Web of Science Database by Anıl Durmuşahmet

“…The study aims to identify both the density and the gaps in current research, while also offering guidance for future scholarly work. …”
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A Systematic Review of Gen-AI Applications in Education: Rewards, Challenges and Future Prospects by Everleen Nekesa Wanyonyi, Millicent Kathambi Murithi

“…The ability of GenAI algorithms to generate specific feedback on tests, quizzes, and assessments as an instructional instrument to support student success has been a significant motivator. …”
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Safety Helmet Wearing Detection Based on Jetson Nano and Improved YOLOv5 by Zaihui Deng, Chong Yao, Qiyu Yin

“…Aiming to address the current shortcomings of the existing safety helmet wearing detection algorithms, including a slow reasoning speed, a large model size, and high hardware requirements, this study proposes an improved safety helmet wearing detection network named YOLOv5-SN, which is suitable for embedded deployment on Jetson Nano. …”
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Artificial Neural Network Text Generation as a New Type of Masking the Authorship by Ogorelkov Igor', Mahaeva Elizaveta

“…The analysis made it possible to identify and describe some typical flaws in the AI-generated texts caused by violations in their implicative and referential semantics. It revealed some current issues of language modeling and the possibilities of generative language models based on neural network algorithms. …”
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Energy-Efficient Management of Urban Water Distribution Networks Under Hydraulic Anomalies: A Review of Technologies and Challenges by Bowen Duan, Jinliang Gao, Huizhe Cao, Shiyuan Hu

“…This review systematically evaluates current technologies for energy-efficient management of WDNs under such conditions, structured around both basic and applied technologies. …”
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