Mapping Mountain Permafrost via GPR-Augmented Machine Learning in the Northeastern Qinghai–Tibet Plateau by Yao Xiao, Guangyue Liu, Guojie Hu, Defu Zou, Ren Li, Erji Du, Tonghua Wu, Xiaodong Wu, Guohui Zhao, Yonghua Zhao, Lin Zhao

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Precision Weed Control Using Unmanned Aerial Vehicles and Robots: Assessing Feasibility, Bottlenecks, and Recommendations for Scaling by Shanmugam Vijayakumar, Palanisamy Shanmugapriya, Pasoubady Saravanane, Thanakkan Ramesh, Varunseelan Murugaiyan, Selvaraj Ilakkiya

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Lung cancer brain metastases – the role of neurosurgery by V. A. Aleshin, V. B. Karakhan, A. Kh. Bekyashev, D. M. Belov

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Application of Deep Learning in Classification and Diagnosis of Mild Cognitive Impairment by ZHOU Qixiang, WANG Xiaoyan, ZHANG Wenkai, HE Xin

“…Then it focuses on the application of deep learning models and methods in the classification and diagnosis of mild cognitive impairment, including but not limited to automatic encoders, deep belief networks, generative adversarial networks, convolutional neural networks, and graph convolutional neural networks, and points out the model interpretability techniques used in the research. Finally, the main ideas, advantages and disadvantages of various algorithms are summarized, and the classification and diagnosis performance of mild cognitive impairment classification methods based on deep learning on public datasets is compared. …”
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ESTIMATION OF HELICOPTER BLADE POSITION BY MEANS OF TWO-CHANNEL MEASURING SYSTEM by V. A. Anikin, N. V. Kim, P. D. Prokhorov

“…The main difficulty is that blade is a highly dynamic moving object.This work suggests two-channel measuring system of helicopter blades position. …”
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Texture Analysis in Volumetric Imaging for Dentomaxillofacial Radiology: Transforming Diagnostic Approaches and Future Directions by Elaine Dinardi Barioni, Sérgio Lúcio Pereira de Castro Lopes, Pedro Ribeiro Silvestre, Clarissa Lin Yasuda, Andre Luiz Ferreira Costa

“…In contrast, texture analysis uses sophisticated algorithms to extract quantitative information from imaging data, thus offering deeper insights into the spatial distribution and relationships of pixel intensities. …”
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Translation Strategies for Phonographic Deviations: A Psycholinguistic Approach by Олександр Ребрій, Ганна Тащенко

“…The main method of the research is retrospective experimental technique ‘Partial Delayed Report of Problems and their Solution’; other methods employed include algorithmic modeling (for prospected translation strategies and substrategies) and comparative analysis (for control units in the source and target texts). …”
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Image instance segmentation based on diffusion model improved by step noisy by Hui Ma, Wanchun Sun, Shujia Li, Jinjun Zhang

“…In this study, the main discussion revolves around how to use algorithms to improve recognition accuracy when applying diffusion models to image instance segmentation. …”
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Joint Service Caching and Computing Offloading Strategies for Electrical Equipment Intelligent IoT Platform by Yi SUN, Shaonan CHANG, Kai CHEN, Qiang CUI, Weijie SHEN

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RETRACTED: Fault Diagnosis of Traction Transformer Based on Bayesian Network by Yong Xiao, Weiguo Pan, Xiaomin Guo, Sheng Bi, Ding Feng, Sheng Lin

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Physically Based and Data-Driven Models for Landslide Susceptibility Assessment: Principles, Applications, and Challenges by Chenzuo Ye, Hao Wu, Takashi Oguchi, Yuting Tang, Xiangjun Pei, Yufeng Wu

“…Finally, we suggest future research directions to improve landslide susceptibility assessments, such as enhancing model interpretability, incorporating real-time monitoring data, enhancing cross-regional transferability, and leveraging advancements in remote sensing, spatial data analytics, and multi-source data fusion.…”
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Single Vector Hydrophone DOA Estimation: Leveraging Deep Learning with CNN-CBAM by Fanyu ZENG, Yaning HAN, Hongyuan YANG, Dapeng YANG, Fan ZHENG

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Estimating the influence of accounting variables change on earnings management detection by Igor Pustylnick, Oksana Temchenko, Sergey Gubarkov

“…Neither of these two detection algorithms attempts to quantify earnings management and connect it with the infractions committed by the companies, charged by the regulator (in this case – U.S. …”
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Hemorheological system in coronary heart disease patients: prognostic value by L. I. Malinova, P. Yu. Dovgalevsky

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Deterministic cascade evolution in coal and gas outbursts: From early acoustic signatures to system-wide failure by Yang Lei, Zhijie Wen, Liang Wang, Ting Ren, Yujun Zuo

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Lithological mapping and spectroscopic studies of carbonatite and clinopyroxenite from Hogenakkal carbonatite complex, India by Saraah Imran, Sourav Bhattacharjee, Ajanta Goswami, Aniket Chakrabarty

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A novel approach for the effective prediction of cardiovascular disease using applied artificial intelligence techniques by Azka Mir, Attique Ur Rehman, Tahir Muhammad Ali, Sabeen Javaid, Maram Fahaad Almufareh, Mamoona Humayun, Momina Shaheen

“…Methods In this paper, we have utilized machine learning algorithms to predict cardiovascular disease on the basis of symptoms such as chest pain, age and blood pressure. …”
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Computational Strategy for Analyzing Effective Properties of Random Composites—Part I: Conductivity by Vladimir Mityushev, Piotr Drygaś, Simon Gluzman, Nurlan Nauryzbayev, Karlygash Nurtazina

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Comparative Analysis of Diabetes Prediction Models Using the Pima Indian Diabetes Database by Zhao Yize

“…The research begins by introducing the significance of accurate diabetes prediction and the methodologies used in the analysis. …”
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The Association of Aortic Stenosis Severity and Symptom Status With Morbidity and Mortality by Matthew D. Solomon, MD, PhD, Alan S. Go, MD, Thomas Leong, MPH, Elisha Garcia, BS, Kathy Le, MPH, Femi Philip, MD, Edward McNulty, MD, Jacob Mishell, MD, Andrew N. Rassi, MD, David C. Lange, MD, Catherine Lee, PhD, Anthony DeMaria, MD, Rick Nishimura, MD, Andrew P. Ambrosy, MD

“…Methods: In this retrospective cohort study from a large, integrated health care system serving >4.5 M individuals, we applied validated natural language processing algorithms to echocardiogram reports to identify physician-assessed AS severity and potential AS-related symptoms (eg, chest pain, syncope, dyspnea, worsening heart failure) via diagnosis codes and natural language processing-applied physician notes. …”
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