Predicting Intensive Care Unit Admissions in COVID-19 Patients: An AI-Powered Machine Learning Model by A. M. Mutawa

“…This study investigated the healthcare process during a pandemic, facilitating ML-based decision-making solutions to confront healthcare problems.…”
Get full text

Transient Stability Assessment Model With Sample Selection Method Based on Spatial Distribution by Yongbin Li, Yiting Wang, Jian Li, Huanbei Zhao, Huaiyuan Wang, Litao Hu

“…Sample selection aims to optimize the training set to speed up the training process while improving the preference of the TSA model. …”
Get full text

Exponential GPR based power prediction for solid oxide fuel cell under H₂ and O₂ flow maloperation by Saketh Danturti, Pratyasha Mishra, Nimisha Mishra, Saranya S T, Buddhadeva Sahoo, Pritam Bhowmik

“…This paper presents an innovative approach to predict the active and reactive power produced by the SOFC through some well adopted machine learning techniques like Support Vector Machines (SVM), Trilayered Neural Networks (TNN), and Exponential Gaussian Process Regression (eGPR). …”
Get full text

‘Only Brooks of Sheffield’: Conversation, Crossover Writing, and Child and Adult Perspectives in David Copperfield and Its Juvenile Adaptations by Hannah Field

“…First, I show conversation as an important vector in Dickens’s exploration of child and adult knowledge in the original novel. …”
Get full text

Classifying software security requirements into confidentiality, integrity, and availability using machine learning approaches by Taghreed Bagies

“…Recognizing the security dimensions in a requirements document should facilitate tracing the requirements and ensuring that a dimension has been implemented in a software system. This process should be automated to reduce time and effort for software engineers. …”
Get full text

Optimization of solid-state fermentation conditions of rapeseed meal using response surface analysis combined with principal component analysis by WU Yi-fei, YAO Xiao-hong, SUN Hong, WANG Xin, TANG Jiang-wu

“…A principal component vector F₁ was obtained by principal component analysis for three quality evaluation indexes including glucosinolate degradation rate, crude protein content and peptide recovery ratio in rapeseed meal fermentation, then based on the response surface analysis of F₁, the technological parameters were optimized in the solid-state fermentation process of rapeseed meal by Bacillus subtilis BS-012. …”
Get full text

Comparative study on Functional Machine learning and Statistical Methods in Disease detection and Weed Removal for Enhanced Agricultural Yield by Sudha D., Menaga D.

“…The present farming situation is above the average of the process involves more biochemical bases for managing the diseases and other destructing facts. …”
Get full text

Evaluating Grayware Characteristics and Risks by Zhongqiang Chen, Zhanyan Liang, Yuan Zhang, Zhongrong Chen

“…A grayware categorization framework is therefore proposed here to not only classify grayware according to diverse taxonomic features but also facilitate evaluations on grayware risk to cyberspace. Armed with Support Vector Machines, the framework builds learning models based on training data extracted automatically from grayware encyclopedias and visualizes categorization results with Self-Organizing Maps. …”
Get full text

Interleukin-17 retinotoxicity is prevented by gene transfer of a soluble interleukin-17 receptor acting as a cytokine blocker: implications for age-related macular degeneration. by Daniel Ardeljan, Yujuan Wang, Stanley Park, Defen Shen, Xi Kathy Chu, Cheng-Rong Yu, Mones Abu-Asab, Jingsheng Tuo, Charles G Eberhart, Timothy W Olsen, Robert F Mullins, Gary White, Sam Wadsworth, Abraham Scaria, Chi-Chao Chan

“…IL17-dependent retinal degeneration in a mouse model of focal retinal degeneration can be prevented by gene therapy with adeno-associated virus vector encoding soluble IL17 receptor. This intervention rescues RPE and photoreceptors in a MAPK-dependent process. …”
Get full text

Crisis and disasters: a psychological response to grieving by Maria Helena Pereira Franco

“…The concept of presumed world is explored in the significance of the bereavement process after a disaster as a vector for the changes thus provoked. …”
Get full text

RStoolbox: An R package for remote sensing data analysis by Konstantin Müller, Jakob Schwalb‐Willmann, Martin Wegmann, Benjamin Leutner

“…Therefore, it is crucial to not only gather data but also to analyse, visualize and present the findings. rstoolbox R package offers a suite of functions for (a) preprocessing, (b) analysis and (c) visualization of (multi‐band) remote sensing data, implementing state‐of‐the‐art methods such as unsupervised and supervised classification, or spectral unmixing or change vector analysis. Thereby, rstoolbox enables various levels of users, from students to experts, to process and scientifically analyse different kinds of remote sensing data within a single programming environment. …”
Get full text

Finding Possible Precursors for the 2015 Cotopaxi Volcano Eruption Using Unsupervised Machine Learning Techniques by Juan C. Anzieta, Hugo D. Ortiz, Gabriela L. Arias, Mario C. Ruiz

“…To find these families we applied a two-stage process in which the events were first separated by their frequency content by applying the k-means algorithm to the spectral density vector of the signals and then were further separated by their waveform by applying Correntropy and Dynamic Time Warping. …”
Get full text

Positioning Errors Predicting Method of Strapdown Inertial Navigation Systems Based on PSO-SVM by Xunyuan Yin, Yingbo Sun, Changhong Wang

“…In order to evaluate the navigation errors precisely and efficiently, a prediction method based on support vector machine (SVM) is proposed for positioning error assessment. …”
Get full text

Low-Code Application and Practical Implications of Common Machine Learning Models for Predicting Punching Shear Strength of Concrete Reinforced Slabs by Khuong Le Nguyen, Thanh Tu Do, Giang Huu Nguyen, Afaq Ahmad

“…A user-friendly standalone application was developed, providing real-time predictions of the PSS using the two best-developed ML models, GPR and support vector machine (SVM), as well as six empirical models from the literature. …”
Get full text

Multiobjective Location Problems with Variable Domination Structures and an Application to Select a New Hub Airport by Bettina Zargini

“…We investigate two kinds of solutions derived from the concept of minimal and nondominated solutions from vector optimization problems with respect to variable domination structure. …”
Get full text

Automated detection of epicardial adipose tissue in cardiac CT using ensemble machine learning for improved diagnosis by Jasmine S, Marichamy P

“…An ensemble machine learning model combining Support Vector Machine (SVM) and Artificial Neural Network (ANN) is developed for segmentation. …”
Get full text

Generalized angular-order parton showers in Herwig 7 by Joon-Bin Lee, M. R. Masouminia, Michael H. Seymour, Un-ki Yang

“…Abstract This paper presents the inaugural investigation of beyond the Standard Model (BSM) radiation processes, framed as a generalized, process- and model-independent parton shower algorithm within Herwig 7, based on direct translations of Universal FeynRules Output (UFO) constructed via Herwig’s ufo2herwig module. …”
Get full text

Segmentation of the Sensor Data Stream in Pervasive Smart Environments by Vahid Ghasemi, Mohammad Javadian, Sajad Hayati

“…In such environments, user-object interactions along time are recorded via several sensors, and sensor events are processed as a stream of data. In this process, user’s activities are recognized, and accordingly, essential services are provided. …”
Get full text

Exploring a cost-effective way for nutrient management with machine learning for container plants by Ping Yu, Kuan Qin

“…By training the data using K-Nearest Neighbor (KNN), Support Vector Machine (SVM), and Naïve Bayes algorithms, this system could reach up to 0.7–1.0 accuracy in guiding fertilization schedules during the plant vegetative growth stage. …”
Get full text

Advancements and Future Prospects of CRISPR-Cas-Based Population Replacement Strategies in Insect Pest Management by Yu Zhao, Longfeng Li, Liangzi Wei, Yifan Wang, Zhilin Han

“…Population replacement refers to the process by which a wild-type population of insect pests is replaced by a population possessing modified traits or abilities. …”
Get full text