Field calibration of fine particulate matter low-cost sensors in a highly industrialized semi-arid conurbation by Mariana Villarreal-Marines, Michael Pérez-Rodríguez, Yasmany Mancilla, Gabriela Ortiz, Alberto Mendoza

“…We also tested the Extreme Gradient Boosting (XGBoost) algorithm for classification and field calibration of the PM2.5 data derived from the LCS. …”
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Identification of Papua Cenderawasih Batik Motifs using Local Binary Pattern and K-Nearest Neighbor by Dian Dwi Ariani, Sitti Zuhriyah, Eva Yulia Puspaningrum, Mahabintang Pallawabonang

“…Future research could improve model accuracy by utilizing larger data sets and classification algorithms to make the models more accurate.…”
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An Innovative Proposal for Developing a Dynamic Urban Growth Model Through Adaptive Vector Cellular Automata by Ahmet Emir Yakup, Ismail Ercument Ayazli

“…For the simulation phase, an adaptive VCA-based urban growth model was developed to predict LULC changes through to 2040. The results demonstrate that the proposed algorithm can achieve a satisfactory level of accuracy in modeling urban growth.…”
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From word models to executable models of signaling networks using automated assembly by Benjamin M Gyori, John A Bachman, Kartik Subramanian, Jeremy L Muhlich, Lucian Galescu, Peter K Sorger

“…Abstract Word models (natural language descriptions of molecular mechanisms) are a common currency in spoken and written communication in biomedicine but are of limited use in predicting the behavior of complex biological networks. …”
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Probabilistic Routing Based on Two-Hop Information in Delay/Disruption Tolerant Networks by Xu Wang, Rongxi He, Bin Lin, Ying Wang

“…Probabilistic routing protocol using history of encounters and transitivity (PRoPHET) is an efficient history-based routing protocol specifically proposed for DTNs, which only utilizes the delivery predictability of one-hop neighbors to make a decision for message forwarding. …”
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Pig behavior recognition and disease warning based on compressed sensing and long-short term memory network by Ren Wang, Mingdong Zhao

“…The improved k-means clustering algorithm is combined with convolutional neural network and long and short term memory network to provide early warning for pig diseases. …”
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Historical Reconstruction of Astronaut Cancer Risk: Context for Recent Solar Minima by Tony C. Slaba

“…To provide additional context for this level of variation, two different nuclear interaction models are used within the radiation transport algorithms used to propagate GCR ions and secondary particles through shielding and tissue. …”
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Risk Assessment for Water Disaster of Karst Tunnel Based on the Weighting of Reliability Measurement and Improved Extension Cloud Model by Yingli Jiang, Jie Cui, Hao Liu, Yanlong Zhang

“…Secondly, according to the two different entropy algorithms of the extension cloud model, an improved extension cloud model is proposed based on the entropy algorithm fusion of game theory. …”
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Machine learning discovery of the dielectric properties of strontium-containing condensed matter by Dongyang Huang, Jiaxing Fu, Chenghao Yu

“…Traditional theoretical predictions or first-principles calculations of dielectric constants are often challenging and require significant time and computational resources. …”
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A machine learning-derived angiogenesis signature for clinical prognosis and immunotherapy guidance in colon adenocarcinoma by Hengrui Du, Haochen Wang, Yuxiang Chen, Xixi Zhou

“…The optimal CARS constructed using the RSF + StepCox [forward] algorithm had superior performance for clinical prognostic prediction and served as an independent risk predictor for COAD. …”
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Variational Approach for Learning Community Structures by Jun Jin Choong, Xin Liu, Tsuyoshi Murata

“…More specifically, supervised and semisupervised learning tasks such as link prediction and node classification have achieved remarkable results. …”
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An explainable and federated deep learning framework for skin cancer diagnosis. by Shuvo Biswas, Sajeeb Saha, Muhammad Shahin Uddin, Rafid Mostafiz

“…To ensure model interpretability, an XAI-based algorithm named Local Interpretable Model-Agnostic Explanations (LIME) was used to explain the predictions of the proposed framework. …”
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Multisource Heterogeneous Sensor Processing Meets Distribution Networks: Brief Review and Potential Directions by Junliang Wang, Ying Zhang

“…Through a brief analysis of existing technologies and algorithms, this article reviews the technological development of MSH data analysis in DNs. …”
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Research on flight detection and data compliance analysis methods for ice meteorological by DING Junliang

“…Domestic icing meteorological prediction algorithms are calibrated and verified, and safety control strategies and risk degradation measures for natural icing flight test are explored. …”
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Comparison of Random Forest, XGBoost, and LightGBM Methods for the Human Development Index Classification by Yunna Mentari Indah, Rafika Aristawidya, Anwar Fitrianto, Erfiani Erfiani, L.M. Risman Dwi Jumansyah

“…The study applied these algorithms to analyze the most influential variables affecting HDI. …”
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Adaptive Kalman Filter Fusion Positioning Based on Wi-Fi and Vision by Shuxin Zhong, Li Cheng, Haiwen Yuan, Xuan Li

“…To improve the accuracy of Wi-Fi positioning, a random forest algorithm with added region restriction is proposed. …”
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Classifying software security requirements into confidentiality, integrity, and availability using machine learning approaches by Taghreed Bagies

“…Our results revealed that SVM with the sentence-transformer technique outperformed all classifiers by 87% accuracy in predicting a type of security dimension.…”
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COVID-19 Pandemic Forecasting Using CNN-LSTM: A Hybrid Approach by Zuhaira M. Zain, Nazik M. Alturki

“…Furthermore, we demonstrated that the suggested model produced satisfactory predicting results even with a small amount of data.…”
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Simulating urban growth through case-based reasoning by X. Ye, W. W. Yu, W. H. Yu, L. N. Lv

“…The results show that the UGSCBR model has strong flexibility and simplicity, and it provides an effective prediction method for urban growth.…”
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Research of Large Inflow Angles BEMT-Based Analytical–Numerical Performance Evaluation Model by Carlos Sosa Henríquez, Martynas Lendraitis

“…Drawing upon the theoretical framework presented by Stahlhut, the algorithm enables a more complex understanding of proprotor dynamics, facilitating accurate predictions of the loads at each blade section. …”
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