Enhanced U-Net++ for Improved Semantic Segmentation in Landslide Detection by Meng Tang, Yuelin He, Muhammed Aslam, Edore Akpokodje, Syeda Fizzah Jilani

“…Landslide detection and segmentation are critical for disaster risk assessment and management. …”
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Leveraging Deep Learning for Fault Detection and Localization in Distributed Systems by Debolina Ghosh, Jay Prakash Singh

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Machine Learning Detection of Melting Layers From Radar Observations by Yan Xie, Fraser King, Claire Pettersen, Mark Flanner

“…Compared to a traditional detection method, the U‐Net model increases the Probability of Detection by 57% and improves the mean Dice‐Sørensen coefficient from 0.69 to 0.91. …”
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Research on Fire Detection of Cotton Picker Based on Improved Algorithm by Zhai Shi, Fangwei Wu, Changjie Han, Dongdong Song

“…The cotton picker working environment is complex, cotton ignition can be hidden, and fire is difficult to detect. …”
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Predictive modeling of pediatric drug-induced liver injury: Dynamic classifier selection with clustering analysis by Zixin Shi, Linjun Huang, Haolin Wang

“…The ensemble learning models consistently outperformed individual classifier models, with the presented study achieving the highest F1-score (0.926), MCC (0.917), G-mean (0.959), demonstrating the strength of this hybrid approach in addressing the complexities of pediatric DILI prediction. Conclusion The integration of clustering analysis with dynamic classifier selection has demonstrated efficacy in complex real-world clinical settings. …”
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Impact factor selection for non-fatal occupational injuries among manufacturing workers by LASSO regression by Yingheng XIAO, Chunhua LU, Juan QIAN, Ying CHEN, Yishuo GU, Zeyun YANG, Daozheng DING, Liping LI, Xiaojun ZHU

“…The influence degree and type of variables were judged based on the magnitude of the estimated coefficients of each variable, where variables with estimated coefficients > 0 are risk factors, and those <0 are protective factors. …”
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Damage Localization of Piles Based on Complex Continuous Wavelet Transform: Numerical Example and Experimental Verification by Wenting Zheng, Sifan Wang, Chengxu Lin, Xianying Yu, Jingliang Liu

“…A new signal processing method called complex continuous wavelet transform (CCWT) is introduced in this paper to localize pile damage because it clearly reveals inherent characteristics of response signals. …”
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Specific nature of the integrative (complex) effect of environmental factors on hazelnut cultivars in the Russian humid subtropics by T. D. Besedina, A. P. Boyko, Ts. V. Tutberidze, N. S. Kiseleva

“…The crop’s genotypic diversity contributed to the specific nature of the complex effect produced by environmental factors. …”
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A population spatialization method based on the integration of feature selection and an improved random forest model. by Zhen Zhao, Hongmei Guo, Xueli Jiang, Ying Zhang, Changjiang Lu, Can Zhang, Zonghang He

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
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Variable Selection for Multivariate Failure Time Data via Regularized Sparse-Input Neural Network by Bin Luo, Susan Halabi

“…This study addresses the problem of simultaneous variable selection and model estimation in multivariate failure time data, a common challenge in clinical trials with multiple correlated time-to-event endpoints. …”
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Simulación numérica del coeficiente de concentración de tensiones en grietas de uniones soldadas a tope//Numerical simulation of the stresses concentration coefficient in cracks bu... by Pavel Almaguer-Zaldivar

“…With the proposed methodology were obtained graphs and equations that describe the behavior of the stress concentration coefficient in different nodes of the crack. The stress concentration coefficient value it is in correspondence with the defects sizes.…”
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Validation of the Strategy for Determining the Numerical Rating of the Cognitive Complexity of Exam Items in the Field of Chemical Kinetics by Saša Horvat, Dušica Rodić, Nevena Jović, Tamara Rončević, Snežana Babić-Kekez

“…The strategy was validated using regression analysis from which significant correlation coefficients were obtained between selected variables: students’ achievement and invested mental effort (dependent variables) and a numerical rating of cognitive complexity (independent variable).…”
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COMPLEX ASSESSMENT OF INCIDENCE OF THE TEENAGE YOUNG MEN AND THE PERSONS WHO ARE CALLED UP FOR MILITARY SERVICE by Анатолий Иванович Бабенко, Евгений Геннадьевич Шведов, Евгений Анатольевич Бабенко

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Germ and seed morphometric parameters of seeds of vegetable plants of the Umbelliferae family as a breeding subject by A. F. Bukharov

“…A comparison of wild-growing and varietal samples of carrots indicates that in the process of cultivation, the size of the embryo underwent significant upward changes, even in the absence of targeted selection. Therefore, when applying artificial selection in this direction, one can expect more significant results.…”
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Source material creation for high content of dry soluble substances F₁ cherry tomato hybrids breeding by S. F. Gavrish, T. A. Redichkina, A. I. Topinskiy

“…The practical result of the work was selection of the most promising breeding material within different color groups of cherry tomato, combining high values of dry matter with a complex of economically valuable traits.…”
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Implementing FFE-MLSD With Improved BER and Reduced Complexity for Long-Reach PAM4 Wireline Receivers by Hanseok Kim, Sihyun Lee, Piljun Jeong, Jaeha Kim, Woo-Seok Choi

“…Simulation results show two orders of magnitude improvement in BER over conventional LMS-based FFE coefficient optimization. In addition, to mitigate the MLSD complexity, Top-K selection approach is proposed to select only the most relevant K branches for MLSD computation using a pre-computed lookup table. …”
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Detecting microcephaly and macrocephaly from ultrasound images using artificial intelligence by Abraham Keffale Mengistu, Bayou Tilahun Assaye, Addisu Baye Flatie, Zewdie Mossie

“…Objective This study aims to develop a fetal head abnormality detection model from ultrasound images via deep learning. …”
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From Misinformation to Insight: Machine Learning Strategies for Fake News Detection by Despoina Mouratidis, Andreas Kanavos, Katia Kermanidis

“…Through extensive experimentation across multiple datasets, our results demonstrate that BERT-based models consistently achieve superior performance, significantly improving detection accuracy in complex misinformation scenarios. …”
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Complexation reaction with Sm(III): a facile spectrophotometric quantification of daunorubicin in pharmaceutical preparation and biological fluids by Basima A. A. Saleem

“…The proposed method demonstrated a significant linear relationship between absorbance and daunorubicin concentration in the range of 1–48 µg/mL, with a correlation coefficient of 0.9974. Detection limits were established at 0.0025 and 0.0250 µg/mL. …”
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Artificial intelligence-driven predictive framework for early detection of still birth by Sarah A. Alzakari, Asma Aldrees, Muhammad Umer, Lucia Cascone, Nisreen Innab, Imran Ashraf

“…Predictive modeling is becoming increasingly popular in the context of early disease detection. The use of machine learning approaches for predictive modeling can help early detection of diseases thereby enabling medical experts to appropriate medical treatments. …”
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