Modeling Impact of Land Use Dynamics on Hydrology and Sedimentation of Megech Dam Watershed, Ethiopia by Abebe Tarko Assfaw

“…A comparison of the simulated outputs of the model shows that the mean annual surface runoff for 1998 land use was 251.3 mm and had changed to 316.7 mm in 2016 land use. …”
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Open Soil Spectral Library (OSSL): Building reproducible soil calibration models through open development and community engagement. by José L Safanelli, Tomislav Hengl, Leandro L Parente, Robert Minarik, Dellena E Bloom, Katherine Todd-Brown, Asa Gholizadeh, Wanderson de Sousa Mendes, Jonathan Sanderman

“…From independent model evaluation, we found that Cubist comes out as the best-performing ML algorithm for the calibration and delivery of reliable outputs (prediction uncertainty and representation flag). …”
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Science Through Machine Learning: Quantification of Post‐Storm Thermospheric Cooling by Richard J. Licata, Piyush M. Mehta, Daniel R. Weimer, Douglas P. Drob, W. Kent Tobiska, Jean Yoshii

“…In this work, we develop ML models on three data sets: the Space Environment Technologies High Accuracy Satellite Drag Model (HASDM) density database, a spatiotemporally matched data set of outputs from the Jacchia‐Bowman 2008 Empirical Thermospheric Density Model (JB2008), and an accelerometer‐derived density data set from CHAllenging Minisatellite Payload (CHAMP). …”
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MSIS‐UQ: Calibrated and Enhanced NRLMSIS 2.0 Model With Uncertainty Quantification by Richard J. Licata, Piyush M. Mehta, Daniel R. Weimer, W. Kent Tobiska, Jean Yoshii

“…Instead of providing point estimates, our model (called MSIS‐UQ) outputs a distribution which is assessed using a metric called the calibration error score. …”
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Projected changes in climate extremes over Tanzania by Philbert Modest Luhunga

“…In this paper, we analysed projected changes in climate extremes across regions in Tanzania using outputs of high-resolution regional climate models from the Coordinated Regional Climate Downscaling Experiment program (CORDEX-Africa). …”
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Sewage sludge as a sustainable feedstock for biodiesel: Advances in conversion technologies and catalytic applications by Christopher Selvam D, Yuvarajan Devarajan, Raja T

“…HTL techniques yield bio-oil outputs of 45 % to 60 %, establishing it as one of the most proficient approaches for sludge conversion. …”
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Generalized cross-entropy for learning from crowds based on correlated chained Gaussian processes by J. Gil-González, G. Daza-Santacoloma, D. Cárdenas-Peña, A. Orozco-Gutiérrez, A. Álvarez-Meza

“…Still, traditional approaches often fall short by assuming homogeneous behavior across the input feature space and imposing independence constraints on outputs. We introduced the correlated chained Gaussian process with enhanced generalized cross-entropy loss, termed CGP-GCE, which effectively models multiple annotators' non-stationary and interdependent behaviors by a Bayesian approach. …”
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Ecohydrological responses to solar radiation changes by Y. Wang, N. Meili, S. Fatichi

“…Here, we compute how changes in solar radiation affect global and local near-surface meteorological variables by using CMIP6 model results. Using climate model outputs, we compute climate sensitivities to solar radiation alterations. …”
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An assessment of the impact of discounted Fees on the quality of services rendered by Quantity Surveying firms by Lungie Maseko, Siminaye Duma

“…The purpose of this paper is to examine how the current structure of the fee guidelines affects the quality of the service outputs of QS firms and by extension their competitiveness. …”
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Enhancing the role of mass media in the translation of evidence from health policy and systems research in Nigeria by Prince Agwu, Chinyere Mbachu, Obinna Onwujekwe

“…Results It was found that health research evidence conducted using quality procedures and published in quality academic journals barely make it to public and policy-making conversations because of the restrictiveness that characterizes academic outputs in traditional academic dissemination outlets. …”
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Estimating Subcanopy Solar Radiation Using Point Clouds and GIS-Based Solar Radiation Models by Daniela Buchalová, Jaroslav Hofierka, Jozef Šupinský, Ján Kaňuk

“…Results indicate that the choice of LiDAR data significantly affects model outputs. PCSRT, with its voxel-based approach, provides higher precision in heterogeneous forest environments. …”
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CALIBRATION OF MICROSCOPIC TRAFFIC SIMULATION OF URBAN ROAD NETWORK INCLUDING MINI-ROUNDABOUTS AND UNSIGNALIZED INTERSECTION USING OPEN-SOURCE SIMULATION TOOL by Mehmet Nedim YAVUZ, Halit ÖZEN

“…The traffic count data and speed were considered performance measures between field observations and simulation outputs. The routeSampler tool of SUMO, which has recently emerged in the literature, was used to match traffic count data and the corresponding time interval for traffic volume data calibration. …”
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A Vision-Based Video Crash Detection Framework for Mixed Traffic Flow Environment Considering Low-Visibility Condition by Chen Wang, Yulu Dai, Wei Zhou, Yifei Geng

“…Then, a set of features were developed from the Yolo outputs, based on which a decision model was trained for crash detection. …”
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Enhanced Bug Priority Prediction via Priority-Sensitive Long Short-Term Memory–Attention Mechanism by Geunseok Yang, Jinfeng Ji, Jaehee Kim

“…These features are processed through a Long Short-Term Memory (LSTM) network to capture sequential dependencies, and the outputs are further refined using an Attention mechanism to focus on the most relevant information for prediction. …”
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Investigating the Effects of Non-Standard Dialects on the Written Competency of Setswana Home Language Grade 10 Learners by Koketso Botlholo

“…According to the data, it is evident that Non-standard dialects had a significant influence on the written and spoken outputs of the learners and most learners and teachers could not differentiate. …”
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A Multi-Branch Anchor-Free Detection Algorithm for Hospital Pedestrian by Keqiang Li, Yifan Li, Yiyi Wang, Haining Yu, Huan Zhang

“…Lastly, a local feature selection network is proposed to adaptively suppress non-optimal values from the multi-branch outputs, eliminating redundant feature boxes during prediction. …”
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Triple-attentions based salient object detector for strip steel surface defects by Li Zhang, Xirui Li, Yange Sun, Huaping Guo

“…Existing deep learning based detectors for strip steel surface defects typically strive to iteratively refine and integrate the coarse outputs of the backbone network, enhancing the models’ ability to express defect characteristics. …”
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Preparation of Graphene Nanosilver Composites for 3D Printing Technology by Xiujuan Liang, Haixu Ji

“…In this article, the assisted preparation of graphene nanosilver composites by 3D printing technology (three-dimensional printing) was studied. 3D printing technology is a rapid prototyping technology that emerged in the 1980s. 3D printing technology is based on discrete stacking and realizes rapid processing of models by directly outputting data from the printing device. In this article, a new type of graphene oxide (GO) was prepared by the modified Hummers method. …”
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Boosting biogas production through innovative data-driven modeling and optimization methods at NJWTP by Jingsong Duan, Guohua Cao, Guoqing Ma, Bayram Yazdani

“…Furthermore, the DBN-BOOA model identified optimal operational parameters that maximized biogas production to 31.35 m³/min, surpassing the outputs of the other models. This method’s success is attributed to its robust optimization algorithm, which efficiently navigates a diverse search space to locate the global optimum without necessitating input variable pre-processing. …”
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A holistic research based on RSM and ANN for improving drilling outcomes in Al–Si–Cu–Mg (C355) alloy by Şenol Bayraktar, Cem Alparslan, Nurten Salihoğlu, Murat Sarıkaya

“…The ANOVA results highlighted the significance of both V and f on the measured outputs, with optimal performance observed at a V of 125 m/min and f of 0.05 mm/rev (confidence level: 95%, P < 0.05). …”
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