Consumption Optimization in an Office Building Considering Flexible Loads and User Comfort by Mahsa Khorram, Pedro Faria, Omid Abrishambaf, Zita Vale

“…Additionally, the operation cycle of a dishwasher is included, and the algorithm selects the best starting point based on the appliance weights and power availability in each period. …”
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An Algorithmic Approach for Detecting Bolides with the Geostationary Lightning Mapper by Clemens M. Rumpf, Randolph S. Longenbaugh, Christopher E. Henze, Joseph C. Chavez, Donovan L. Mathias

“…The filter performance is assessed on 144845 GLM L2 files (equivalent to 34 days-worth of data) and the algorithm selected 2252 filtered files (corresponding to a pass rate of 1.44%) with bolide-similar signatures. …”
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A New Strategy for Bearing Health Assessment with a Dynamic Interval Prediction Model by Lingli Jiang, Heshan Sheng, Tongguang Yang, Hujiao Tang, Xuejun Li, Lianbin Gao

“…It is verified that the improved simulated annealing algorithm selects limited interval data, reconstructs health indicators based on bearing degradation curve and information fusion, and updates the Paris-DSSM state space equation through the particle filter algorithm. …”
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Efficient Integration of Fixed-Step Capacitor Banks and D-STATCOMs in Radial and Meshed Distribution Networks Considering Daily Operation Curves by Oscar Danilo Montoya, Walter Gil-González, Jesus C. Hernández

“…In the master stage, the discrete version of the generalized normal distribution optimization (GNDO) algorithm selects the nodes and the sizes of the capacitor banks. …”
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Blind Modulation Identification of Underwater Acoustic MPSK Using Sparse Bayesian Learning and Expectation Maximization by Tao Fang, Zhi Xia, Songzuo Liu, Xiongbiao Wu, Lanyue Zhang

“…This paper presents a likelihood-based algorithm for identifying different phase shift keying (PSK) modulations, i.e., BPSK, QPSK, and 8PSK. This algorithm selects the modulation type that maximizes a loglikelihood function that is based on the known original constellation associated with the constellation of the received signals for the candidate modulation types. …”
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Applying the Simple Partial Discard Method to Crystals-Kyber by Dongyoung Roh, Sangim Jung

“…Meanwhile, CRYSTALS-Kyber is the only public-key encryption and key-establishment algorithm selected for the post-quantum cryptography standardization project by NIST (National Institute of Standards and Technology). …”
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FWFS: Selecting Robust Features Towards Reliable and Stable Traffic Classifier in SDN by Fatimah Audah Md. Zaki, Tan Saw Chin

“…Therefore, this work has proposed a hybrid filter-wrapper feature selection (FS) algorithm, named Filter-Wrapper Feature Selection (FWFS). The algorithm selects robust features that represent minority classes and resistant to concept drift and is also computationally inexpensive by discarding irrelevant features before further processing with wrapper function. …”
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A Re-Ranking Algorithm for Identifying Influential Nodes in Complex Networks by Enyu Yu, Yan Fu, Qing Tang, Jun-Yan Zhao, Duan-Bing Chen

“…For each step in the proposed algorithm, select the node with the highest score, and then update scores of nodes based on local paths of the selected node with the help of information spreading probability function INF. …”
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QoS Aware Data Congestion Control Routing in Mobile Ad Hoc Networks for Intelligent Transportations Systems by K. Muthulakshmi, K. Kalirajan, J. Jean Justus, P. Sivamalar

“…The proposed QoS-ADCC algorithm selects relay data packets between intersections based on QoS dynamic road segments, aiming for a straightforward and efficient routing mechanism. …”
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Genetic Algorithm for Feature Selection in Lower Limb Pattern Recognition by Robert V. Schulte, Robert V. Schulte, Erik C. Prinsen, Erik C. Prinsen, Hermie J. Hermens, Hermie J. Hermens, Jaap H. Buurke, Jaap H. Buurke

“…In this study, we collected a dataset containing ten able-bodied subjects who performed various gait-related activities while measuring EMG and kinematics. The genetic algorithm selected features based on the performance on the training partition of this dataset. …”
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Detection of the chronic kidney disease using XGBoost classifier and explaining the influence of the attributes on the model using SHAP by Md. Johir Raihan, Md. Al-Masrur Khan, Seong-Hoon Kee, Abdullah-Al Nahid

“…Furthermore, we have used Biogeography Based Optimization (BBO) algorithm to find an effective subset of the features. The BBO algorithm selected almost half of the initial features. …”
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An Effective Toss-and-Catch Algorithm for Fixed-Rail Mobile Terminal Equipment That Ensures Reliable Transmission and Non-Interruptible Handovers by Yao-Liang Chung, Sheng-Hui Wu

“…By means of an efficient SBS selection mechanism and configuration settings, the algorithm selects suitable SBSs to ensure reliable transmission and non-interruptible handovers. …”
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Energy and Spectral-Efficient Lens Antenna Subarray Design in MmWave MIMO Systems by Liza Afeef, Gokhan Mumcu, Huseyin Arslan

“…The proposed precoding algorithm selects the beam of each lens from a predefined set within a subgroup that maximizes the subgroup sum-rate, while the phase shifters and digital precoders in each subgroup are computed independently. …”
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What’s “Up Next”? Investigating Algorithmic Recommendations on YouTube Across Issues and Over Time by Ariadna Matamoros-Fernández, Joanne E. Gray, Louisa Bartolo, Jean Burgess, Nicolas Suzor

“…YouTube’s “up next” feature algorithmically selects, suggests, and displays videos to watch after the one that is currently playing. …”
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Comparison of Gully Erosion Susceptibility Mapping Using Weight of Evidence and Frequency Ratio Models at Sanganeh Kalat Basin by Majid Ebrahim, Abolghasem Amir Ahmadi, Mohammad Ali Zangeneh Asadi

“…In total, of the 46 gullies which have been identified, 32 (70 %) cases are random algorithm selected to build gully susceptibility models, while the remaining 14 (30 %) cases are used to validate the models. …”
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PET segmentation of bulky tumors: Strategies and workflows to improve inter-observer variability. by Elisabeth Pfaehler, Coreline Burggraaff, Gem Kramer, Josée Zijlstra, Otto S Hoekstra, Mathilde Jalving, Walter Noordzij, Adrienne H Brouwers, Marc G Stevenson, Johan de Jong, Ronald Boellaard

“…<h4>Methods</h4>Twenty PET images of bulky tumors were delineated independently by six observers using four strategies: (I) manual, (II) interactive threshold-based, (III) interactive threshold-based segmentation with the additional presentation of the PET-gradient image and (IV) the selection of the most reasonable result out of four established semi-automatic segmentation algorithms (Select-the-best approach). The segmentations were compared using Jaccard coefficients (JC) and percentage volume differences. …”
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How prevalent is overfitting of regression models? A survey of recent articles in three psychology journals by Dalicandro, Lauren, Harder, Jane A., Mazmanian, Dwight, Weaver, Bruce

“…The following common data-analytic practices increase the likelihood of model overfitting: Having too few observations (or events) per explanatory variable (OPV/EPV); automated algorithmic selection of variables; univariable pretesting of candidate predictor variables; categorization of quantitative variables; and sequential testing of multiple confounders. …”
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A Big Coal Block Alarm Detection Method for Scraper Conveyor Based on YOLO-BS by Yuan Wang, Wei Guo, Shuanfeng Zhao, Buqing Xue, Wugang Zhang, Zhizhong Xing

“…In addition, to solve the problem of sample imbalance in big coal block data, in this paper, it was shown that the YOLO-BS algorithm selects focal loss as the loss function. In view of the problem that the same lump coal in different locations on the scraper conveyor led to different congestion rates, we conducted research and proposed a formula to calculate the congestion rate. …”
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Dictionary Learning Approach to Monitoring of Wind Turbine Drivetrain Bearings by Sergio Martin-del-Campo, Fredrik Sandin, Daniel Strömbergsson

“…We perform the experiment using two different sparse coding algorithms to investigate if the algorithm selected affects the features of abnormal conditions. …”
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Sistema de Información para la Interpolación de Datos de Temperatura y Precipitación del Ecuador by Laureano Salvador Andrade Chávez, R. Moreano

“…Abstract: The “EPN Climatic Information System” computer program has been designed tointerpolate climatic data based on monthly precipitation and temperature information from the2000 – 2005 period, and consists of 126 meteorological stations both from the National Instituteof Meteorology and Hydrology (INAMHI) and the General Direction of Civil Aviation (DGAC).This computer system also includes search and interpolation algorithms, selection ofinterpolation methods, and presentation and visualization of weather information. …”
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