Dynahead-YOLO-Otsu: an efficient DCNN-based landslide semantic segmentation method using remote sensing images by Zheng Han, Bangjie Fu, Zhenxiong Fang, Yange Li, Jiaying Li, Nan Jiang, Guangqi Chen

“…Pixel-wise semantic segmentation (PSS) and object-oriented detection (OOD) are two dominant approaches, wherein PSS are better as providing detailed delineation of landslide shapes. …”
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Smart Forest Navigation System Using LoRa and Dynamic Pathfinding by Isha Nevatia, Vraj Chaudhary, M. Thurai Pandian

“…All computations are performed on-device, ensuring low-latency operation without reliance on GPS or external servers. …”
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Smart driving assistance system for mining operations in foggy environments by Swades Kumar Chaulya, Monika Choudhary, Naresh Kumar, Vikash Kumar, Abhishek Chowdhury

“…Thus, the test results indicate that the proposed image enhancement algorithm produced significantly improved images, proving its effectiveness in extremely low visibility situations. …”
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Research on fault localization method of valve area in converter station based on metric learning and knowledge reasoning by WEI Yun, LI Xianwei, ZHANG Yanlong, CAO Hui, XU Dan, QIU Junhong

“…This paper proposes a fault location method for the valve area of a converter station based on metric learning and knowledge reasoning, which addresses the problems of low efficiency, long time consumption, and heavy dependence on the level of operating personnel in manual fault location. …”
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A rolling bearing fault diagnosis method based on GADF-CWT-GCNN by ZHANG Xiaoli, LUO Xin, LI Min, LIANG Wang, WANG Fangzhen

“…The sample sub-graph is imported into the convolutional neural network with the group normalization algorithm for diagnostic detection. The results show that the generalization ability of the data processing method and the model built in this paper in the small-sample environment is much higher than that of other network models such as the small vector machine and the 1D-CNN. …”
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Application of capsule networks based on reparameterized heterogeneous convolution in multi-scale heterogeneous environment matrix in predictive modeling of interdisciplinary compl... by Shuya Liu, Xiaoli Zhang

“…For the purpose of meteorological change prediction, the average Brier score remains around 0.08, indicating low error and high stability. In the context of economic trend prediction, the directional accuracy for GDP growth rate and unemployment rate is 94.17% and 95.35%, respectively, with inflection point detection deviations of only 0.9 and 1.2 quarters. …”
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A UAV Image Stitching Method for Complex Urban Environments by W. Niu, D. Qiu, R. Wu, R. Wu, Z. Wang, Y. Shi

“…Experimental results show that the proposed method achieves high processing speed on low-performance hardware platforms, improves feature point distribution uniformity to 0.89, and achieves stitching accuracy (RMSE) of 3.5 pixels, significantly outperforming ORB and SIFT algorithms, while remaining robust in dynamic occlusion and lighting variation scenarios. …”
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A nomogram to predict the risk of insulin resistance in Chinese women with polycystic ovary syndrome by Benjie Guo, Yuting Shen, Ziying Dai, Kalibinuer Yimamu, Jianhua Sun, Lixia Pei

“…The variables identified by logistic regression and the random forest algorithm—body mass index (BMI, OR 1.43), triglycerides (TG, OR 1.22), alanine aminotransferase (ALT, OR 1.03), and fasting plasma glucose (FPG, OR 5.19)—were used to build the nomogram. …”
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Integrating Otsu Thresholding and Random Forest for Land Use/Land Cover (LULC) Classification and Seasonal Analysis of Water and Snow/Ice by Xuexia Sun, Xiaoyao Li, Bingxiang Tan, Jian Gao, Lei Wang, Shimei Xiong

“…Accurate land use/land cover (LULC) classification and the detection of seasonal dynamics are crucial for effective environmental monitoring and resource management. …”
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Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy for Lithium Metal Battery Degradation via Machine Learning by Qianli Si, Shoichi Matsuda, Yasunobu Ando, Toshiyuki Momma, Yoshitaka Tateyama

“…In this study, a machine learning (ML) framework is proposed that combines electrochemical impedance spectroscopy (EIS) with the XGBoost algorithm to develop two predictive models: one for estimating capacity degradation and another for detecting the knee point (KP)—a critical inflection point in the degradation trajectory. …”
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Dataset of noise signals generated by smart attackers for disrupting state of health and state of charge estimations of battery energy storage systemsMendeley by Alaa Selim, Huadong Mo, Hemanshu Pota

“…These signals are designed to disrupt the State of Charge (SoC) and State of Health (SoH) estimation blocks within Unscented Kalman Filters (UKF). The low-magnitude noise signals are specifically crafted to be stealthy, evading easy detection while still effectively causing malfunctions in the estimation processes. …”
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Chemometric and computational modeling of polysaccharide coated drugs for colonic drug delivery by Ahmad Khaleel AlOmari, Khaled Almansour

“…The dataset, consisting of 155 data points with over 1500 spectral features, underwent preprocessing involving normalization, Principal Component Analysis (PCA) for dimensionality reduction, and outlier detection using Cook’s Distance. Model hyperparameters were tuned using the Slime Mould Algorithm (SMA), and each model’s performance was evaluated through k-fold cross-validation (k = 3). …”
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Neuroimaging informatics framework for analyzing rare brain metastasis patterns in pleural mesothelioma using hybrid PET CT by Sumit Kumar Agrawal, Indra Prakash Dubey, Anoop Kumar Nair, Anurag Jain, Abhishek Mahato, Rajeev Kumar

“…Their unusual appearance and low frequency make early diagnosis and accurate characterization of such uncommon brain metastases a diagnostic difficulty. …”
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A practical guide to UAV-based weed identification in soybean: Comparing RGB and multispectral sensor performance by Kelvin Betitame, Cannayen Igathinathane, Kirk Howatt, Joseph Mettler, Cengiz Koparan, Xin Sun

“…Although the overall cost of scouting crop fields with UAVs may be low and practical, it varies depending on the sensors used; and the existing studies have mainly focused on weed detection methods but not compared the sensors' performance. …”
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Identifying bellwether sewershed sites for sustainable disease surveillance in Bengaluru, India: a longitudinal studyResearch in context by Rebecca Fern Daniel, Subash K. Kannan, Namrta Daroch, Sutharsan Ganesan, Farhina Mozaffer, Vishwanath Srikantaiah, Lingadahalli Subrahmanya Shashidhara, Rakesh Mishra, Farah Ishtiaq

“…We utilised an Excel-based calculator (COVID-SURGE calculator) for user-entered wastewater data that differentiates signal from noise (underlying variability) based on the algorithm, with adjustments made to the input format of viral data and a specified limit of detection (LOD) value from the reverse transcriptase-quantitative PCR kit. …”
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The risk of fractures and the need for anti-osteoporotic treatment in patients with systemic sclerosis by A. О. Efremova, N. V. Toroptsova, O. V. Dobrovolskaya, N. V. Demin, O. A. Nikitinskaya

“…There was a very high risk of fractures in 41.2% of the examinees, a high risk in 10.3%, and a low risk in 48.5%. Osteoporosis (OP) in at least one area was detected in 41.2% of the patients. …”
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Comparative estimation of the effectiveness of the Khorana, Vienna CATS, and TiC-Onco scores and the vWF/ADAMTS13 ratio in identifying a high risk of thrombotic complications in pa... by A. V. Vorobеv, A. G. Solopova, V. O. Bitsadze, M. M. Baeva, M. E. Sosnyagova, V. N. Galkin, D. O. Utkin, A. D. Makatsariya

“…According to the final points obtained by each score, the patients were classified into the subgroups of a high, medium, and low risk of thrombosis. Concurrently, the presence of earlier thrombosis was analyzed. …”
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Variational Approach for Learning Community Structures by Jun Jin Choong, Xin Liu, Tsuyoshi Murata

“…In domains such as biology, chemistry, and physics, researchers often rely on community detection algorithms to uncover community structures from complex systems yet no unified definition of community structure exists. …”
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Full Vector Inversion of Magnetic Microscopy Images Using Euler Deconvolution as Prior Information by Gelson F. Souza‐Junior, Leonardo Uieda, Ricardo I. F. Trindade, Janine Carmo, Roger Fu

“…The semi‐automated nature of our algorithm, combined with its low processing cost and ability to determine the magnetic moments of numerous particles, represents a significant advancement in facilitating paleomagnetic applications of magnetic microscopy.…”
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Current Evidence Supporting the Role of miRNA as a Biomarker for Lung Cancer Diagnosis Through Exhaled Breath Condensate Collection: A Narrative Review by Paolo Albino Ferrari, Cosimo Bruno Salis, Antonio Macciò

“…Analytical advancements, including next-generation sequencing (NGS), have improved miRNA detection sensitivity and specificity, addressing prior limitations of low yield and variability. …”
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