A Three-Stage Birandom Program for Unit Commitment with Wind Power Uncertainty by Na Zhang, Weidong Li, Rao Liu, Quan Lv, Liang Sun

“…A birandom simulation based hybrid genetic algorithm is designed to solve the proposed model. …”
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Memory-driven deep-reinforcement learning for autonomous robot navigation in partially observable environments by Estrella Montero, Nabih Pico, Mitra Ghergherehchi, Ho Seung Song

“…We propose a memory-driven algorithm that employs deep reinforcement learning to enable collision-free proactive navigation in partially observable environments. …”
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Machine Learning Classification Model to Label Sources Derived from Factor Analysis Receptor Models for Source Apportionment by Vikas Kumar, Vasudev Malyan, Manoranjan Sahu, Basudev Biswal

“…In this study, a machine learning (ML) classification algorithm, k-nearest neighbour (kNN), is applied to the source profiles obtained from the United States Environmental Protection Agency’s (U.S. …”
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Evaluating the Sustainable Growth of Small- and Medium-Sized Construction Enterprises Using the Multicriteria Decision-Making Method by Wenbao Wang, Wenhe Lin, Xinyi Dai, Yingzheng Yan, Aiping Xuan

“…Considering the development of small- and medium-sized construction enterprises, a growth evaluation index system that includes growth resources, growth ability, and growth innovation was established, and a growth evaluation model was constructed using the improved entropy-VIKOR algorithm. Evaluation and analysis of the sustainable growth of small- and medium-sized construction enterprises listed before the end of 2012 were conducted. …”
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Improvement of a Free-Wake Model for the Aerodynamic and Aeroacoustic Analysis of a Small-Scale Two-Bladed Propeller in Hover by Manuel Iannotta, Antonio Visingardi, Domenico Quagliarella, Fabrizio De Gregorio, Mattia Barbarino, Alex Zanotti

“…An optimization procedure based on the application of the evolutionary Genetic Algorithm is followed to identify the values of the parameters describing the dissipative and diffusive properties in the Bhagwat–Leishman vortex core model, an upgraded version of the classical Lamb–Oseen one. …”
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Transcriptome size matters for single-cell RNA-seq normalization and bulk deconvolution by Songjian Lu, Jiyuan Yang, Lei Yan, Jingjing Liu, Judy Jiaru Wang, Rhea Jain, Jiyang Yu

“…Here we introduce ReDeconv, a computational algorithm that incorporates transcriptome size into scRNA-seq normalization and bulk deconvolution. …”
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Dynamic Eco-Driving on Signalized Arterial Corridors during the Green Phase for the Connected Vehicles by Xiangmo Zhao, Xia Wu, Qi Xin, Kang Sun, Shaowei Yu

“…The results indicate that the fuel saving of the connected vehicle guided by the dynamic optimization algorithm shows significant improvement. In addition, the rolling optimization among three signalized intersections is conducted and the results show that a considerable improvement can be obtained compared with the one-by-one optimization.…”
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An Efficient Edge-Based System for Nucleated Oval-Shaped Red Blood Cell Counting by Carlo Centofanti, Daniele Lozzi, Ciro Cococcetta, Andrea Marotta

“…We propose a novel Cell Counter and Detector (CCD) algorithm, specifically designed for avian RBCs, which utilizes smartphones and optical microscopes for rapid and precise cell counting. …”
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Detecting Unauthorized Movement of Radioactive Material Packages in Transport with an Adam-Optimized BP Neural Network Model by Panpan Jiang, Xiaohua Yang, Yaping Wan, Tiejun Zeng, Mingxing Nie, Chaofeng Wang, Yu Mao, Zhenghai Liu

“…To analyze the performance of the proposed algorithm, numerous experiments were conducted. The results demonstrate that the proposed method achieves a 99.17% accuracy rate in detecting unauthorized movements of radioactive materials, with a missed alarm rate of 0.72% and a false alarm rate of 0.1%. …”
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Fair allocation of fixed cost in one- and two-stage systems using data envelopment analysis by Faranak Hosseinzadeh Saljooghi, Ali reza Pishgooy, Farhad Hamidi

“…Since cross-efficiency in data envelopment analysis handles these conditions of competition and cooperation between units well.Findings: In this article, using the improved cross-efficiency and the proposed algorithm, we allocate a unique fixed cost to the units under evaluation in single-stage and two-stage supply chain systems fairly. …”
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Dynamic Response of a Single-Rotor Wind Turbine with Planetary Speed Increaser and Counter-Rotating Electric Generator in Starting Transient State by Radu Saulescu, Mircea Neagoe

“…The proposed analytical dynamic algorithm involves the decomposition of the wind system into its component rigid bodies, followed by the description of their dynamic equations using the Newton–Euler method. …”
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State of charge estimation for lithium‐ion batteries based on square root sigma point Kalman filter considering temperature variations by Davoud Mahboubi, Iraj Jafari Gavzan, Mohammad Hassan Saidi, Naghi Ahmadi

“…The comparison results indicate the error of the proposed algorithm is about 0.02 under the most test conditions.…”
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Identification of a Typical CSTR Using Optimal Focused Time Lagged Recurrent Neural Network Model with Gamma Memory Filter by S. N. Naikwad, S. V. Dudul

“…The standard back propagation algorithm with momentum term has been proposed in this model. …”
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Distributed Joint Cluster Formation and Resource Allocation Scheme for Cooperative Data Collection in Virtual MIMO-Based M2M Networks by Xi Luan, Jianjun Wu, Yuxin Cheng, Haige Xiang

“…Since the optimization problem on this issue is an NP-hard problem, a feasible joint scheme for the cluster formation and resource allocation is proposed in this paper, which is carried out via coalition formation game with a distributed algorithm. This scheme can reduce the complexity while keeping an attractive performance. …”
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A Study of Deep Neural Network Controller-Based Power Quality Improvement of Hybrid PV/Wind Systems by Using Smart Inverter by Adel Ab-BelKhair, Javad Rahebi, Abdulbaset Abdulhamed Mohamed Nureddin

“…The main objective of this paper is to propose a new algorithm that is based on deep neural network (DNN) and maximum power point tracking (MPPT), which was simulated in a MATLAB environment for photovoltaic (PV) and wind-based power generation systems. …”
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Development of Competent Mathematical Speech of Students at Technical University by A. V. Muzhikova, M. N. Gabova

“…The prepared organizational and methodological support of teaching, the systemic educational work allow students to improve their speech skills and skills of active use of mathematical language as a universal language of science, to develop logical, algorithmic and mathematical thinking, the ability to apply methods of mathematical analysis and modeling, theoretical and experimental research in solving professional problems.…”
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A Competitive Bilevel Programming Model for Green, CLSCs in Light of Government Incentives by Arsalan Rahmani, Meysam Hosseini, Amir Sahami

“…A metaheuristic quantum binary particle swarm optimization (PSO) is developed via Benders decomposition algorithm to solve the proposed model. To evaluate the convergence rate and solution quality, the method is applied to some random test instances generated in the literature. …”
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Bilevel Programming for Traffic Signal Coordinated Control considering Pedestrian Crossing by Dawei Li, Yuchen Song, Qiong Chen

“…Finally, the bilevel programming problem which fuses the above two models is determined; by coding an algorithm, it can be resolved. Furthermore, taking eight signalized intersections from Jiming Temple to Daxinggong along Nanjing Metro Line 3 as the actual background, the calculation and optimization of coordinated control are carried out. …”
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Optimal Capacity Allocation of Large-Scale Wind-PV-Battery Units by Kehe Wu, Huan Zhou, Jizhen Liu

“…Second, the utilization rate of renewable energy sources and maximum wind-PV complementation was considered and the objective function of full life cycle-net present cost (NPC) was calculated through hybrid iteration/adaptive hybrid genetic algorithm (HIAGA). The optimal capacity ratio among wind generator, PV array, and battery device also was calculated simultaneously. …”
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: Mobility-Centric Roadside Units Deployment for Vehicular Networks by Yongping Xiong, Jian Ma, Wendong Wang, Dengbiao Tu

“…By reducing it into the minimum vertex coverage problem, we show that the RSU deployment problem is NP-complete. Then, a heuristic algorithm RoadGate is proposed to search greedily the optimal positions. …”
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