Psychological artificial intelligence: Designing algorithms to deal with the uncertainty of rework in construction by Peter E.D. Love, Jane Matthews, Weili Fang

“…However, algorithms to effectively deal with the uncertainty of rework in construction have yet to be developed. …”
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Algorithmic Generation of Parameterized Geometric Models of the Aortic Valve and Left Ventricle by Nikita Pil, Alex G. Kuchumov

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Adaptive algorithms for enhancement of speech subject to a high-level noise by Mariusz LATOS, Marek PAWEŁCZYK

“…One is the line enhancer, where the predictive realisation of the Wiener approach is used. …”
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ANTI-SWAY CONTROL OF HOISTING-AND-TRANSPORT MECHANISM USING FUZZY ALGORITHM by O. A. Shvedova, A. S. Shmarlouski, A. V. Markov, T. V. Tarasevich

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The methods and algorithms for generating of program trajectories for robotic manipulators of arc welding by M. M. Kozhevnikov, O. A. Chumakov, I. E. Ilushin, L. A. Loboreva

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Maize Hybrids Performance Evaluation with Data Fusion by Matrix Factorization Algorithm by Milica Brkić, Stefan Hačko, Miloš Radovanović, Vladimir Crnojević, Sanja Brdar

“…To address this, we introduce a novel application of the Data Fusion by Matrix Factorization (DFMF) algorithm for predicting crop yields using maize data from the 2019 Syngenta Crop Challenge. …”
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Quantification of MODIS Land Surface Temperature Downscaled by Machine Learning Algorithms by Qi Su, Xiangchen Meng, Lin Sun, Zhongqiang Guo

“…By establishing non-linear relationships between LST and predictive variables through eXtreme Gradient Boosting (XGBoost) and Random Forest (RF) algorithms, the proposed framework was rigorously validated using in situ measurements across China’s Heihe River Basin. …”
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ALGORITHMIZATION OF NON-COLLISION MOTIONS OF PLANAR POSITIONERS OF UNIVERSAL ASSEMBLY UNIT by V. V. Poliakovski, D. G. Begun, I. V. Dainiak

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A Novel Community Detection Algorithm Based on Node Propagation and Attraction by Lidong Fu, Xinxing Xie, Zengfa Dou, Yun Bai, Xi Zhao

“…Experimental results demonstrate that, on both synthetic and real networks, the proposed algorithm outperforms various existing community detection algorithms.…”
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An improved traffic lights recognition algorithm for autonomous driving in complex scenarios by Ziyue Li, Qinghua Zeng, Yuchao Liu, Jianye Liu, Lin Li

“…We evaluated our algorithm using a public data set and actual city road test at night. …”
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Accuracy Comparison of Machine Learning Algorithms on World Happiness Index Data by Sadullah Çelik, Bilge Doğanlı, Mahmut Ünsal Şaşmaz, Ulas Akkucuk

“…Subsequently, classification algorithms are used to predict the cluster membership and the accuracy scores obtained serve as an indirect measure of the clustering quality. …”
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A Review on Automated Detection and Identification Algorithms for Highway Pavement Distress by Zhenglong Lv, Zhexin Hao, Yuhan Zhu, Cong Lu

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Bandit Algorithms for Efficient Toxicity Detection in Competitive Online Video Games by Jacob Morrier, Rafal Kocielnik, R. Michael Alvarez

“…When no pre-existing predictive model of toxic behavior is available, one must be estimated in real-time. …”
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Analysis Algorithm of Biomedical Signals in Remote Monitoring Systems of Human Health by A. N. Osipov, A. V. Patseev, S. V. Patseev

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Algorithms for Synthesis of Technological Operations for Manufacturing Samples of Structurally Complex Products by A. V. Petukhov

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OPTIMIZING THE CONTROL OF SPATIAL MECHANISMS USING GENETIC ALGORITHMS AND ANT COLONY by Ápostolos Tsagaris, Gabriel Mansour

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Variational quantum algorithm for enhanced continuous variable optical phase sensing by Jens A. H. Nielsen, Mateusz J. Kicinski, Tummas N. Arge, Kannan Vijayadharan, Jonathan Foldager, Johannes Borregaard, Johannes Jakob Meyer, Jonas S. Neergaard-Nielsen, Tobias Gehring, Ulrik L. Andersen

“…However, they find minima not predicted by our theoretical model, demonstrating the strength of variational algorithms in modelling complex noise environments, a non-trivial task.…”
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Application of Metaheuristic Algorithms and ANN Model for Univariate Water Level Forecasting by Sarah J. Mohammed, Salah L. Zubaidi, Nadhir Al-Ansari, Hussein Mohammed Ridha, Anmar Dulaimi, Ruqayah Al-Khafaji

“…The methodology includes preprocessing data methods, and the ANN model optimises with a marine predator algorithm (MPA). In the optimisation procedure, to decrease uncertainty and expand the predicting range, the slime mould algorithm (SMA-ANN), constriction coefficient-based particle swarm optimisation and chaotic gravitational search algorithms (CPSOCGSA-ANN), and particle swarm optimisation (PSO-ANN) are applied to compare and validate the MPA-ANN model performance. …”
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Algorithmic support of the adaptive system of controlled flight into terrain avoidance (CFITA) by A. N. Akimov, V. A. Voloshin, A. A. Supryga

“…The first group (the full SFITA mode) uses the maximum digital cartographic information (DCI) about the terrain. In the SFITA algorithms, the terrain is approximated in the form of planes in space in some predictable, pre-emptive area in the flight path direction. …”
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Machine learning algorithms of riverbed change and environments of the Lower Apalachicola River by Ali R. Alruzuq, Joann Mossa

“…The study identifies potential drivers of riverbed changes using machine learning algorithms. The RF model has outperformed the XGBoost model with an R-square of 0.95 and 0.93 for the validation and testing sets, respectively, for RF, indicating high predictive accuracy while slightly less accurate with an R-square of 0.75 and 0.74 for the validation and testing sets. …”
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