The Use of LiDAR Terrain Data in Characterizing Surface Roughness and Microtopography by Kristen M. Brubaker, Wayne L. Myers, Patrick J. Drohan, Douglas A. Miller, Elizabeth W. Boyer

“…The availability of light detection and ranging data (LiDAR) has resulted in a new era of landscape analysis. …”
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Method and application of stability prediction model for rock slope by Yun Qi, Chenhao Bai, Xuping Li, Hongfei Duan, Wei Wang, Qingjie Qi

“…Based on the SHAP model analysis, the main factors influencing the stability of the slopes are g, c, φ, H, and j.…”
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Depression Recognition Using Daily Wearable-Derived Physiological Data by Xinyu Shui, Hao Xu, Shuping Tan, Dan Zhang

“…Our aim was to identify depressive individuals through the analysis of multimodal physiological measurements derived from wearable devices in daily life scenarios. …”
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Enriching Urban Digital Twins with Energy-related Information from Aerial and Street View Imagery for Precise Urban Climate Modeling by M. Buyukdemircioglu, S. Oude Elberink

“…Roof textures extracted from orthophotos enhance the analysis of roof geometry and facilitate material identification and solar panel detection. …”
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Community-associated methicillin-resistant Staphylococcus aureus skin and soft tissue infections in a pediatric hospital in Argentina by Martha Helena von Specht, Noella Gardella, Clotilde Ubeda, Sandra Grenon, Gabriel Gutkind, Marta Mollerach

“…This study aimed to assess the microbiological, epidemiological, and clinical features of CA-MRSA SSTIs treated at the hospital. …”
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Infrared thermography based fault diagnosis of diesel engines using convolutional neural network and image enhancement by Wang Rongcai, Yan Hao, Dong Enzhi, Cheng Zhonghua, Li Yuan, Jia Xisheng

“…Strengthening the condition monitoring and fault diagnosis of diesel engines is of paramount importance in ensuring the smooth operation of production systems. Timely detection and elimination of defects play a crucial role in maintaining the normal functioning of these systems. …”
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OCT-Angiography for the Diagnosis and Monitoring of Best’s Disease by L. A. Katargina, E. V. Denisova, N. N. Arestova, T. B. Kruglova, N. A. Osipova, O. V. Novikova

“…According to OCTA CNM was detected in 7 cases, in 3 of them signs of membrane activity were noted. …”
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INFORMATION TECHNOLOGY FOR RECOGNITION OF ROAD SIGNS USING A NEURAL NETWORK by Elena Yashina, Roman Artiukh, Nikolai Рan, Andrei Zelensky

“…The recognition process takes place by constructing a convolutional neural network. Features of the layers of the roller network are considered.  …”
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An AI-Based Decision Support Framework for Clinical Screening of Iron Deficiency Anemia and Thalassemia by Kasikrit Damkliang, Thakerng Wongsirichot, Komsai Suwanno, Chutima Cheranakhorn, Sorawat Sangkeaw, Satanun Sottisataworn

“…Traditional blood smear analysis is labor-intensive, prone to subjectivity, and lacks reproducibility, highlighting the urgent need for AI-driven methods to improve diagnostic sensitivity and specificity. …”
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CREDIT POLICY OF A COMMERCIAL BANK IN CONDITIONS OF UNCERTAINTY OF THE ECONOMIC ENVIRONMENT by О. Kovalova, M. Iorgachova

“…The complex of identified key characteristics allowed to form a holistic view of the nature and specific features of the commercial bank’s credit policy. …”
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Dynamic Patch-Based Sample Generation for Pulmonary Nodule Segmentation in Low-Dose CT Scans Using 3D Residual Networks for Lung Cancer Screening by Ioannis D. Marinakis, Konstantinos Karampidis, Giorgos Papadourakis, Mostefa Kara

“…Lung cancer is by far the leading cause of cancer death among both men and women, making up almost 25% of all cancer deaths Each year, more people die of lung cancer than colon, breast, and prostate cancer combined. The early detection of lung cancer is critical for improving patient outcomes, and automation through advanced image analysis techniques can significantly assist radiologists. …”
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Diagnostic challenges of heart failure with preserved ejection fraction: focus on echocardiography by A. A. Ivanova, O. N. Dzhioeva, E. A. Lavrenova, E. A. Rogozhkina, O. M. Drapkina

“…Aim. To assess the features of diagnosing heart failure with preserved ejection fraction (HFpEF) using echocardiographic markers and diastolic stress test (DST) according to a survey of ultrasound and functional diagnostics specialists in the Russian Federation.Materials and methods. …”
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Development of Anisotropic Magnetoresistive (AMR) Sensor Module for the Magnetic Field Instrument of Lunar Lander by Juhyeong Kim, Ho Jin, Young-jun Choi, Hyeonhu Park, Yunho Jang, Seungmin Lee, Hyeonji Kang, Wooin Jo

“…LSMAG uses fluxgate magnetometers (FGMs), which have a 0.2 nT resolution and ± 2,000 nT measurement range. For the scientific analysis of LSMAG data, four types of additional mission-assisting functions are required: strong magnetic field measurement, lander noise detection, offset calibration signal generation, and attitude information provision. …”
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Ensemble machine learning algorithm for anti-VEGF treatment efficacy prediction in diabetic macular edema by Yu Fang, Jianwei Lin, Peiwen Xie, Huishan Zhu, Tsz Kin Ng, Guihua Zhang

“…Conclusion This study established an ensemble ML algorithm based on 3D-OCT images and clinical features for automatic detection of treatment responses to anti-VEGF treatment in DME patients to predict the efficacy of anti-VEGF treatment in DME patients and assist clinicians in optimal treatment decisions.…”
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FPGA SoC Implementation of Adaptive Deep Neural Network-Based Multimodal Edge Intelligence for Internet of Medical Things by Nikhil B. Gaikwad, Smith K. Khare, Dinesh Mendhe, Hasan Mir, Sokol Kosta, U. Rajendra Acharya

“…We develop a cloud-configurable deep neural network (DNN) intellectual property (IP) core with an adaptable hardware architecture that executes four different types of analysis on an edge gateway. Our developed IP core adaptively switches from one architecture to another only in one clock cycle, based on the type of input features. …”
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Weakly-Supervised Segmentation-Based Quantitative Characterization of Pulmonary Cavity Lesions in CT Scans by Wenyu Xing, Yanping Yang, Yanan Zhou, Tao Jiang, Yifang Li, Yuanlin Song, Dongni Hou, Dean Ta

“…Clinical and Translational Impact Statement: This model used artificial intelligence to achieve the detection and quantitative analysis of pulmonary cavity lesions in CT scans. …”
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Identification of biomarkers and target drugs for melanoma: a topological and deep learning approach by Xiwei Cui, Xiwei Cui, Jipeng Song, Qingfeng Li, Jieyi Ren

“…Future studies should validate these targets in preclinical models and explore network-based biomarkers for early detection.…”
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Epidemiological characteristics of eleven common respiratory viral infections in children by Suling Li, Zhengfeng Xue, Yuxin Feng, Xue Zhou, Yang Qi, Na Feng, Yuanxia Li

“…Methods Between June 2021 and May 2023, we conducted a retrospective analysis of the results of viral detection using oral pharyngeal swabs from 4565 children with LRTIs in the Inpatient Department of Yan’an University Affiliated Hospital. …”
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Artificial intelligence–based diabetes risk prediction from longitudinal DXA bone measurements by Sulaiman Khan, Zubair Shah

“…This pivotal approach utilizing DXA scans highlights significant potential for the rapid and minimally invasive early detection of diabetes.…”
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First Evidence for Two Independent and Different Leishmaniasis Transmission Foci in Sri Lanka: Recent Introduction or Long-Term Existence? by Yamuna Siriwardana, Bhagya Deepachandi, Shreenika de S. Weliange, Chandanie Udagedara, Chandanie Wickremarathne, Wipula Warnasuriya, Ranthilaka R. Ranawaka, Indira Kahawita, P. H. Chandrawansa, Nadira D. Karunaweera

“…Clinical analysis favoured a parasite aetiology (considerable strain differences) rather than a host aetiology (age, gender, or genetics). …”
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