Fuel Costs Minimization on a Steel Billet Reheating Furnace Using Genetic Algorithms by Harley S. O. Santos, Paulo E. M. Almeida, Rodrigo T. N. Cardoso

“…For this purpose, a genetic algorithms approach is developed. Computational simulation results show that it is possible to minimize costs for different charge temperatures and production rates using the implemented method. …”
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Total Variation Regularization Algorithms for Images Corrupted with Different Noise Models: A Review by Paul Rodríguez

“…This paper focuses on giving a summary of the most relevant TV numerical algorithms for solving the restoration problem for grayscale/color images corrupted with several noise models, that is, Gaussian, Salt & Pepper, Poisson, and Speckle (Gamma) noise models as well as for the mixed noise scenarios, such the mixed Gaussian and impulse model. …”
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Research on Multi-Strategy Fusion of the Chimpanzee Optimization Algorithm and Its Application in Path Planning by Xing He, Chenxv Guo

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Modelling and Simulation of Perturb and Observe MPPT Algorithm Based on The PI Controller for Photovoltaic System by Ahlam Mohamad Shakoor, Hersh Hasan Taha

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A Knowledge-Based Simulated Annealing Algorithm to Multiple Satellites Mission Planning Problems by Da-Wei Jin, Li-Ning Xing

“…A knowledge-based simulated annealing algorithm is proposed to the multiple satellites mission planning problems. …”
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Seismic Vulnerability Assessment of Reinforced Concrete Educational Buildings Using Machine Learning Algorithm by Tapan Kumar, Mohammad Al Amin Siddique, Raquib Ahsan

“…The main objective of this paper is to assess the vulnerability of reinforced concrete (RC) educational buildings in Dhaka city to seismic activity by utilizing machine learning (ML) algorithms. There are three main stages in traditional seismic vulnerability assessment: rapid visual assessment (RVA), preliminary engineering assessment (PEA), and detailed engineering assessment (DEA). …”
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A Nonintrusive Load Monitoring Method for Microgrid EMS Using Bi-LSTM Algorithm by Dongguo Zhou, Yangjie Wu, Hong Zhou

“…This paper proposes a classification strategy for the nonintrusive load identification scheme based on the bilateral long-term and short-term memory network (Bi-LSTM) algorithm. The sliding window algorithm is used to extract the detected load event features and obtain the load features of data samples. …”
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A Hybrid Metaheuristic DE/CS Algorithm for UCAV Three-Dimension Path Planning by Gaige Wang, Lihong Guo, Hong Duan, Heqi Wang, Luo Liu, Mingzhen Shao

“…A new hybrid metaheuristic differential evolution (DE) and cuckoo search (CS) algorithm is proposed to solve the UCAV three-dimension path planning problem. …”
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Uncertainty Measurement and Attribute Reduction Algorithm Based on Kernel Similarity Rough Set Model by Baoguo Chen, Lei Chen, Ming Deng

“…Finally, using the strict monotonicity of kernel similarity combination measurement, an attribute reduction algorithm for numerical information system is designed. …”
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Exhaustive Search and Power-Based Gradient Descent Algorithms for Time-Delayed FIR Models by Hua Chen, Yuejiang Ji

“…Then, two GD algorithms can be used to identify the time-delayed model. …”
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Weaponizing the Workplace: How Algorithmic Management Shaped Amazon’s Antiunion Campaign in Bessemer, Alabama by Teke Wiggin

“…Scholarship on “algorithmic management” focuses on how employers use algorithms and digital devices to routinely control workers. …”
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An Analytical Multimodulus Algorithm for Blind Demodulation in a Time-Varying MIMO Channel Context by Steredenn Daumont, Daniel Le Guennec

“…These algorithms, named adaptive-AMMA and adaptive-ASCMA, respectively, are compared with the adaptive (Analytical Constant Modulus Algorithm) ACMA and the MMA (Multi-Modulus Algorithm). …”
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A machine learning based variable selection algorithm for binary classification of perinatal mortality. by Maryam Sadiq, Ramla Shah

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Development of immune-derived molecular markers for preeclampsia based on multiple machine learning algorithms by Zhichao Wang, Long Cheng, Guanghui Li, Huiyan Cheng

“…Several machine learning algorithms, including least absolute shrinkage and selection operator (LASSO), bagged trees, and random forest (RF), were used to select immune-related signaling genes closely associated with the occurrence of PE. …”
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Recommended System Optimization in Social Networks Based on Cooperative Filter with Deep MVR Algorithm by Kim Hung Pho

“…In the process of extraction operations along with diminishing dimensions, selection and finally extraction of the best features is done using the cooperative filter which is named here based on deep learning- Modified Vector Rotational (MVR) algorithm and its operators. In the following, due to the lack of probabilistic and statistical training in Deep and Reinforcement Learning with a random structure that is used to select users and also to offer users concerning the tastes of the extracted, there is an optimization algorithm for MVR to consider the best features with training. …”
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Comparative Study on Heart Disease Prediction Using Feature Selection Techniques on Classification Algorithms by Kaushalya Dissanayake, Md Gapar Md Johar

“…This article has conducted an experimental evaluation of the performance of models created using classification algorithms and relevant features selected using various feature selection approaches. …”
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An Efficient Position Tracking Smoothing Algorithm for Sensorless Operation of Brushless DC Motor Drives by Surya Susan Alex, Asha Elizabeth Daniel

“…This paper presents a new position sensorless scheme in which a smoothing filter algorithm is proposed to improve the results obtained through Extended Kalman Filter (EKF) algorithm in tracking the rotor position for sensorless control of brushless DC motors. …”
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Fault Diagnosis of Gearbox in Multiple Conditions Based on Fine-Grained Classification CNN Algorithm by Pengcheng Jiang, Hua Cong, Jing Wang, Dongsheng Zhang

“…In this article, using a fine-grained classification algorithm, the operating conditions of the object system are considered an approximate classification. …”
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Denoising MEMS accelerometer sensors based on L2‐norm total variation algorithm by R. Abbasi‐Kesbi, A. Nikfarjam

“…By benefiting from the LTV algorithm, the obtained signals from the accelerometer are denoised. …”
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The Network Global Optimal Mapping Approach Utilizing a Discrete Firefly Optimization Algorithm by He Jia, Li Xiaomei

“…The three methods, agent-based model (ABM), product life cycle management (PLM), and discrete firefly optimization algorithm (DFOA), used herein rely on local infrastructure functions after reviewing the local and global functions. …”
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