Nonuniformly Spaced Array with the Direct Data Domain Method for 2D Angle-of-Arrival Measurement in Electronic Support Measures Application from 6 to 18 GHz by Chen Wu, Janaka Elangage

“…Using the steering vector (SV) of the IEPA and the results derived from the D3 method, a new 2D AoA searching method is also developed, which offers frequency-independent performance defined by the probability of AoA estimation, when the required estimation accuracy and signal-to-noise ratio (SNR) are given. For the applications of electronic support measures, this paper also presents the use of precalculated SV and data-transformation matrix databases built on preselected frequency points and a 2D-angle grid that is close to uniformly distributed directions. …”
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An innovative data-driven quantitative prediction method aiming at base groundwater intrusion risk under extra-thick coal seam mining and its practical application by Hao Zhan, Shouqiang Liu, Bo Wu, Qinghan Meng, Yanling Cao, Fan Yang, Qiwei Feng, Wenlong Liu, Wenfeng Zhu, Yangyang Zhao

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Comparison on the application of the software for image-free control UAV data processing of digital landslide: A case study of Huangtupo landslide in the Three Gorges Reservoir area by Yujian HE, Jie DOU, Xiekang WANG, Yonghu FU, Hao MA, Heng WANG

“…High-resolution remote sensing data in the study area are obtained using the Dajiang PHANTOM 4RTK UAV. …”
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An enhancement filter utilizing the modified arctangent function for the structural and tectonic interpretation of causative sources: Application to WGM2012 gravity data from the Rafsanjan Plain, Iran by Fengjun WU, Xin-Ai XU

“…To further assess its applicability, the MAT filter is applied to high-resolution gravity data from the WGM2012 (World Gravity Map) over the Rafsanjan Plain in Iran. …”
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Performance and applicability of low-cost PM sensors to assess global pollution variability through machine learning techniques by Rajat Sharma, Andry Razakamanantsoa, Ashutosh Kumar, Thaseem Thajudeen, Agnès Jullien

“…Nevertheless, the applicability issues were observed due to data reliability and inconsistency, caused by reserve testing of performance parameters for better accuracy, selection and deployment of sensors without considering their fitness for the purpose, and area-specific requirements. …”
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Analysis of power–accuracy trade‐off in digital signal processing applications using low‐power approximate adders by Celia Dharmaraj, Vinita Vasudevan, Nitin Chandrachoodan

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Enhancing Security for Resource-Constrained Smart Cities IoT Applications: Optimizing Cryptographic Techniques with Effective Field Multipliers by Atef Ibrahim, Fayez Gebali

“…This combination of efficiency and security makes the multiplier particularly suitable for integration within encryption processors in resource-constrained IoT edge nodes, where it can enable secure data communication in smart city applications without compromising operational effectiveness or urban development goals.…”
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Applicability of Machine Learning and Mathematical Equations to the Prediction of Total Organic Carbon in Cambrian Shale, Sichuan Basin, China by Majia Zheng, Meng Zhao, Ya Wu, Kangjun Chen, Jiwei Zheng, Xianglu Tang, Dadong Liu

“…Future directions emphasize real-time drilling data integration and quantum computing-enhanced modeling for ultra-deep shale systems, advancing predictive capabilities in tectonically complex basins.…”
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Modeling Fatigue Data of Complex Metallic Alloys Using a Generalized Student’s <i>t</i>-Birnbaum–Saunders Family of Lifetime Models: A Comparative Study with Applications by Farouq Mohammad A. Alam, Fouad Khalawi, Abdulkader Monier Daghistani

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Evaluating the Effect of Surrogate Data Generation on Healthcare Data Assessment by Saeid Sanei, Tracey K. M. Lee, Issam Boukhennoufa, Delaram Jarchi, Xiaojun Zhai, Klaus McDonald-Maier

“…In healthcare applications, often it is not possible to record sufficient data as required for deep learning or data-driven classification and feature detection systems due to the patient condition, various clinical or experimental limitations, or time constraints. …”
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From Application-Driven Growth to Paradigm Shift: Scientific Evolution and Core Bottleneck Analysis in the Field of UAV Remote Sensing by Denghong Huang, Zhongfa Zhou, Zhenzhen Zhang, Xiandan Du, Ruiqi Fan, Qianxia Li, Youyan Huang

“…Unmanned Aerial Vehicle Remote Sensing (UAV-RS) has emerged as a transformative technology in high-resolution Earth observation, with widespread applications in precision agriculture, ecological monitoring, and disaster response. …”
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FLC-Net: Innovative fraud classification in loan applications with dual channel graph advanced neural network by P. Pedda Sadhu Naik, Kalleda Appanolla Architha, Maddela Mahesh, Chitkula Anand, Gaddam Shriya Reddy, Patlola Suraj Reddy

“…Existing systems often face challenges such as poor detection accuracy due to imbalanced datasets and high false-positive rates, limiting their efficiency in real-world applications. The proposed Fraudulent Loan Classification Network (FLC-Net) addresses these limitations by integrating robust data preprocessing techniques, including missing value imputation, outlier removal, and normalization, to enhance data quality and consistency. …”
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Application of the Achievements of the Fourth Industrial Revolution to Prevent Emergencies Caused by Global Climate Change by D. V. Mun

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Ethical Dilemmas in the Clinical Application of Medical Artificial Intelligence: From Information Systems to Robotics by Lanying WANG, Rui ZHENG, Xianwei LIU

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Deep Learning for Medical Image Analysis Applications in Disease Detection and Diagnosis by Panchadhyayee Swagata, N Shirisha, S Sureshkumar, Priya S Harthy Ruby, Ramalingam Vanaja, M Mahima

“…AI (machine learning or deep learning all belong to AI) has phenomenal potential in revolutionizing healthcare such as enhanced diagnostic precision, personalized treatment, better-quality patient outcomes along with cost reduction, etc. Its potential applications are indeed great, but realising its potential has been slow owing to a host of challenges such as implementing it in a real-life scenario, data privacy challenges, ethical concerns, AI models being biased, operating system structures needing to be interoperable with existing systems, and their compliance with regulating standards. …”
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Application of Criminal Offenders Misuse of National Identification Numbers for Phone Card Registration in Makassar City by Sri Buyung, Marilang, Ashabul Kahfi

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Impact of parallel planning on residency match rate success by Debra Rusk, Ashley Holt, Brianna Harvey, Anthony Shanks

“…Abstract Background Medical students targeting competitive specialties or those with lower competitiveness for their preferred specialty are encouraged to parallel apply to a less competitive field. The AAMC provides data on the number of applicants who parallel apply but little information exists on their match success. …”
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Using Interpretable Artificial Intelligence Algorithms in the Management of Blunt Splenic Trauma: Applications of Optimal Policy Trees as a Treatment Prescription Aid to Improve Pa... by Vahe S. Panossian, Yu Ma, Bolin Song, Jefferson A. Proaño-Zamudio, Veerle P. C. van Zon, Ikemsinachi C. Nzenwa, Azadeh Tabari, George C. Velmahos, Haytham M. A. Kaafarani, Dimitris Bertsimas, Dania Daye

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Clinical application and economics of five short-acting combined oral contraceptives over five years of obstetrics and gynecology practice in China based on real-world study by J. Jin, J. Tang

“…Objective: We aimed to better understand the clinical application and economics of five commonly used combined oral short-acting contraceptives (COCs) by analyzing big data collected from an obstetrics and gynecology hospital in China. …”
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Prognostic value of myocardial flow reserve by PET imaging in patients with suspected coronary artery disease: A systematic review and meta-analysis by Adriana D’Antonio, Roberta Assante, Emilia Zampella, Valeria Cantoni, Roberta Green, Valeria Gaudieri, Teresa Mannarino, Maria Falzarano, Federica Volpicelli, Paolo Cutillo, Francesca Matrisciano, Pietro Buongiorno, Mariarosaria Panico, Carmela Nappi, Domenico Cozzolino, Mario Petretta, Alberto Cuocolo, Wanda Acampa

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