Unveiling global flood hotspots: Optimized machine learning techniques for enhanced flood susceptibility modeling by Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, Zahra Kalantari, Jeong-A. Lee

“…New hydrological insights for the region: This study reveals that the SVR-GWO model has the best performance in predicting flood-prone areas worldwide based on AUC, RMSE and MSE. …”
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Evaluating soil erosion zones in the Kangsabati River basin using a stacking framework and SHAP model: a comparative study of machine learning approaches by Javed Mallick, Saeed Alqadhi, Swapan Talukdar, Md Nawaj Sarif, Tania Nasrin, Hazem Ghassan Abdo

“…The study considered 17 factors in four primary categories: topographic, climatic, soil, and land use/land cover (LULC). The Boruta algorithm assessed the importance of these variables. …”
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Uncertainty analysis of clinically relevant distances derived using photogrammetric intersection for the assessment of motor-speech-control in children by L. Boyle, P. Helmholz, R. Ward, R. Palmer, D. Lichti

“…In contrast, photogrammetry can predict facial inter-landmark distances and their uncertainties through intersection and variance propagation. …”
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An Intelligent Crow Search Optimization and Bi-GRU for Forest Fire Detection System Using Internet of Things by Syed Abdul Moeed, Bellam Surendra Babu, M. Sreevani, B. V. Devendra Rao, R. Raja Kumar and Gouse Baig Mohammed

“…This neural network architecture is capable of processing sequential data from multiple directions, enhancing the system’s ability to predict the spread and intensity of fires. Crow Search Optimization (CSO) and fractional calculus are used to create an optimal solution in the proposed crow search fractional calculus optimization (CSFCO) algorithm for deep learning. …”
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Assessment and application of melting-layer simulations for spaceborne radars within the RTTOV-SCATT v13.1 model by R. Mangla, R. Mangla, M. Borderies, P. Chambon, A. Geer, J. Hocking

“…<p>Because of their high sensitivity to hydrometeors and high vertical resolutions, spaceborne radar observations are emerging as an undeniable asset for numerical weather prediction (NWP) applications. The EUMETSAT (European Organisation for the Exploitation of Meteorological Satellites) NWP SAF (Satellite Application Facility for Numerical Weather Prediction) released an active sensor module within version 13 of the RTTOV (Radiative Transfer for TIROS Operational Vertical Sounder) software with the goal of simulating both active and passive microwave instruments within a single framework using the same radiative transfer assumptions. …”
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Modelos univariados de séries temporais para previsão das temperaturas médias mensais de Erechim, RS Univariate time series methods for forecasting the monthly mean air temperature... by Leonardo Chechi, Fábio M. Bayer

“…In the class of ARIMA models using criteria information, SARIMA type models that consider the seasonal characteristics of air temperature were selected, whereas for exponential smoothing models Holt-Winters additive algorithm were used. Smoothing constants are determined to minimize the mean square error between observed and predicted values. …”
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Deteksi Cepat Kadar Alkohol Pada Minuman Kopi dengan Metode Dielektrik dan Jaringan Syaraf Tiruan by Sucipto Sucipto, Yuyun Rohmawati, Dyah Ayu Widyaningrum, Danang Triagus Setiyawan

“…The back propagation algorithm was used to connect the input of bioelectric properties and output of prediction of alcohol content and pH in liqueur coffee. …”
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Effect of Molarity of Sodium Hydroxide on the Strength Behavior of Fiber-Reinforced Geopolymer Concrete Exposed to Elevated Temperature by Abbasali Saffar, Mohammad Ehsanifar, Seyed Mohammad Mirhoseini, Mohammad Javad Taheri Amiri

“…Beside, post-fire strength of FRGPC was predicted using artificial neural network (ANN) and support vector machines (SVM) with the integration of water cycle algorithm (WCA). …”
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Parental BPA exposure disrupts offspring transcriptomic profiles and impairs embryonic lineage specification during zygotic genome activation by Yuequn Chen, Kusheng Wu, Wenlong Huang

“…Digital cell type deconvolution revealed altered cell composition, including deeper multilayer and enveloping layer cells and fewer margin cells. Furthermore, reductions in neural progenitor and heart primordium lineages, alongside expansions in primordial germ and mesendodermal lineages, potentially contribute to later-stage developmental abnormalities. …”
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Multi-Modal Federated Learning Over Cell-Free Massive MIMO Systems for Activity Recognition by Seyed Mohammad Sheikholeslami, Pai Chet Ng, Jamshid Abouei, Konstantinos N. Plataniotis

“…Additionally, we employ a modified Particle Swarm Optimization (PSO) algorithm for efficient resource allocation. Extensive experiments validate our framework, demonstrating substantial reductions in training time and significant improvements in model performance, particularly an average improvement of 15% and 23% in test accuracy compared to the other fusion models when missing one and two modalities in the inference phase.…”
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All‐in‐one perovskite memristor with tunable photoresponsivity by Guan‐Hua Dun, Yuan‐Yuan Li, Hai‐Nan Zhang, Fan Wu, Xi‐Chao Tan, Ken Qin, Yi‐Chu He, Ze‐Shu Wang, Yu‐Hao Wang, Tian Lu, Shi‐Wei Tian, Dan Xie, Jia‐Li Peng, Xiang‐Shun Geng, Xiao‐Tong Zhao, Jia‐He Zhang, Yu‐Han Zhao, Xiaoyu Wu, Ning‐Qin Deng, Zheng‐Qiang Zhu, Yan Li, Xian‐Zhu Liu, Xing Wu, Weida Hu, Peng Zhou, Yang Chai, Mario Lanza, He Tian, Yi Yang, Tian‐Ling Ren

“…Remarkably, compared with conventional complementary metal–oxide–semiconductor counterparts, our demonstrations provided comparable performance but had ~133‐fold and ~299‐fold reductions in energy consumption, respectively. Our work could facilitate the development of all‐in‐one smart devices for next‐generation machine visions.…”
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Weighting Optimization for Fuel Cell Hybrid Vehicles: Lifetime-Conscious Component Sizing and Energy Management by Xuanyu Xiao, Chen Shu, Huaiwei Dong, Yujun Tang, Jinfeng Feng, Hao Yuan, Shuzhan Bai, Sipeng Zhu, Guoxiang Li

“…Additionally, the battery price affects the weighting factor, indicating that future reductions in power source costs will shift focus away from system durability to fuel economy in FCHV optimization. …”
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An Investigation into the Saliency Ratio of Fractional-Slot Concentrated-Winding Generators for Offshore Wind Power by Isaac Rudden, Guang-Jin Li, Zi-Qiang Zhu, Alexander Duke, Richard Clark

“…Compared to a 3 MW FSCW baseline, the optimized designs show stator power reductions of 3.40% and 6.16% for saliency ratios of 1.15 and 1.2, respectively.…”
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Hyperspectral Imaging Combined with a Dual-Channel Feature Fusion Model for Hierarchical Detection of Rice Blast by Yuan Qi, Tan Liu, Songlin Guo, Peiyan Wu, Jun Ma, Qingyun Yuan, Weixiang Yao, Tongyu Xu

“…Rice blast caused by <i>Magnaporthe oryzae</i> is a major cause of yield reductions and quality deterioration in rice. Therefore, early detection of the disease is necessary for controlling the spread of rice blast. …”
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Spatiotemporal Dynamics of Urban Green Spaces and Climatic Vulnerability of Togolese Cities in the Context of Rapid Urbanisation: The Case of Lome and Kara by Yetondé Deton, Hodabalo Kamou, Abalo Atato, Bimare Kombate, Abalo Mabafei, Josef Yoka, Marra Dourma, Atsu Kudzo Guelly, Komlan Batawila, Koffi Akpagana

“…In Togo, the cities of Lomé and Kara are undergoing rapid urbanisation driven by strong population growth and the expansion of urban built-up areas, leading to significant reductions in urban green spaces (UGSs). UGSs are vital for climate regulation and human well-being by mitigating urban heat, improving air quality, and supporting mental health. …”
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Design and Analysis of a Sowing Depth Detection and Control Device for a Wheat Row Planter Based on Fuzzy PID and Multi-Sensor Fusion by Yueyue Li, Bing Qi, Encai Bao, Zhong Tang, Yi Lian, Meiyan Sun

“…A fuzzy PID control algorithm then performs online parameter tuning of the PID gains, generating the control output needed to drive the stepper motor and adjust the depth-limiting wheel height, thereby precisely regulating the sowing depth. …”
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INFLAMMATION's cognitive impact revealed by a novel "Line of Identity" approach. by Donald R Royall, Raymond F Palmer

“…Our approach also distinguishes individuals resilient to individual biomarker effects allowing for more accurate prediction and precision intervention.…”
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Evaluation of the impact of COVID-19 on hepatitis B in Henan Province and its epidemic trend based on Bayesian structured time series model by Xinxiao Li, Yanyan Li, Shushuo Xu, Penghao Wang, Meng Hu, Haibin Li, Yongbin Wang

“…To assess how well the BSTS algorithm performs predictions, we split the observations into various training and testing ranges. …”
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Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study by Shengyu Liu, Anran Wang, Xiaolei Xiu, Ming Zhong, Sizhu Wu

“…The macrofactors affecting model performance were also screened using the multilevel factor elimination algorithm. ResultsThe fine-tuned BERT for Biomedical Text Mining, with balanced resource use, generally achieved the highest prediction accuracy across the Revised JNLPBA and AnatEM datasets, with microaverage (AVG_MICRO) scores of 0.932 and 0.8494, respectively, highlighting its superior proficiency in identifying medical entities. …”
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Proteomic-based biomarker discovery reveals panels of diagnostic biomarkers for early identification of heart failure subtypes by Narainrit Karuna, Claire Tonry, Mark Ledwidge, Nadezhda Glezeva, Joe Gallagher, Ken McDonald, Chris J. Watson

“…Moreover, a random forest algorithm demonstrated that combining these candidate biomarkers with BNP measurement significantly improved the prediction of HF subtypes. …”
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