Nonlinear Model Predictive Control for Trajectory Tracking of Omnidirectional Robot Using Resilient Propagation by Mahmoud El-Sayyah, Mohamad R. Saad, Maarouf Saad

“…This paper proposes an enhanced Nonlinear Model Predictive Control (NMPC) framework that incorporates a robust, convergent variant of the resilient propagation (RPROP) algorithm to efficiently solve the Nonlinear Optimization Problem (NOP) in real time. …”
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Height of Hydraulic Fracture Zone Based on PSO_LSSVM Model by Hebin Zhang, Tingting Wang, Bin Wu, Haijun Feng

“…Grey correlation analysis is performed on the collected sample data. At the same time, this study develops a particle swarm optimization algorithm based on adaptive inertia weight and a least squares support vector machine model to achieve height prediction of water conducting fracture zones. …”
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Multi-Objective Optimization of Urban Air Transportation Networks Under Social Considerations by Nikolas Hohmann, Sebastian Brulin, Jurgen Adamy, Markus Olhofer

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Continuous Speech-Based Fatigue Detection and Transition State Prediction for Air Traffic Controllers by Susmitha Vekkot, Surya Teja Chavali, Charan Tej Kandavalli, Rama Sai Abhishek Podila, Deepa Gupta, Mohammed Zakariah, Yousef Ajami Alotaibi

“…The ensemble algorithms demonstrated the best performance, achieving a maximum accuracy of 100% on the XGBoost test set. …”
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A Markov decision optimization of medical service resources for two-class patient queues in emergency departments via particle swarm optimization algorithm by Chia-Hung Wang, Rong Tian, Kun Hu, Yu-Tin Chen, Tien-Hsiung Ku

“…The particle swarm optimization algorithm was applied to determine the optimal number of servers, service rate, and number of beds. …”
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AI-driven energy management system based on hesitant bipolar complex fuzzy Hamacher power aggregation operators and their applications in MADM by Walid Emam, Hafiz Muhammad Waqas, Tahir Mahmood, Ubaid ur Rehman, Dragan Pamucar

“…Abstract Artificial Intelligence (AI) based energy management systems utilize sophisticated AI algorithms to improve and control the consumption of energy in various sectors, such as power utilities, industrial systems, and smart buildings. …”
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Using data mining techniques to improve inflation rate management by Fatemeh Zahra Abedi Samakoosh, Soheila Karbasi

“…In order to obtain different variables and the impact of different product groups on inflation, 12 basic groups, which are the main products that make up the Consumer Price Index (CPI), were analyzed and evaluated during the years 2017 to 2021.the present study identifies bottleneck commodities which pricing them are more important in the control of inflation rate. In order to achieve this goal, 12 groups of basic commodities of the country, which are the main commodities that make up the Consumer Price Index (CPI), were collected and presented in a complete graph. …”
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Computer-Aid System for Automated Jaundice Detection by Ahmad Yaseen Abdulrazzak, Saleem Latif Mohammed, Ali Al-Naji, Javaan Chahl

“…A set of neonate images were collected to train the random forest algorithm, including 374 for normal and 137 for jaundiced infants. …”
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Optimal tuning of PI based LF for three-phase SRF PLL synchronization system using pity beetle algorithm under grid abnormalities by P. Riyas, S. A. Lakshmanan

“…Generally, PLL includes a proportional integral (PI) based loop filter (LF) that plays a critical role in ensuring precise phase angle and frequency alignment between the grid and PEC. Traditional PI controller tuning techniques like the symmetrical optimum (SO), optimum setting algorithm (OSA) and Ziegler-Nichol’s exhibit satisfactory performance under ideal grid conditions. …”
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Implementation of Decision Support System with Data Mining Methods in the Quality Control Process of the Automotive Sector by Hikmet Canlı, Sinan Toklu

“…C4.5, Naive Bayes, SMO and Random Forest algorithms are run on data set collected fromproduction. …”
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Efficient traffic management with adaptive SDN in vehicular networks by Sherine Jenny Rajan, Sugirtham Narayanaswamy, Thiyaneswaran Balashanmugam, Kumarganesh Sengottaiyan, Anthoniraj Selvaraj, Pratham Majumder, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

“…The effectiveness of this strategy in a controlled setting is shown by simulations conducted with COOJA software. …”
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Fast Non-Dominated Sorting Tuna Swarm Optimization Algorithm (FNS-TSO): Time-Energy-Impact Multi-Objective Optimization of Underwater Manipulator Trajectories by Xingyao Wang, Yanjun Liu, Gang Xue, Fagang Bai, Shuting Huang

“…To achieve time–energy–impact multi-objective optimization in the trajectory control of underwater manipulators, this paper proposes a Fast Non-Dominated Sorting Tuna Swarm Optimization algorithm (FNS-TSO). …”
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Crack Tracking in Small-Diameter Metal Pipe Using Controlled Motor Vibrations and Flexible Sensor by Md Rabiul Awal, Nurul Atiqah Tajulmar, Muhammad Syarifuddin Yahya, Nurafnida Afrizal, Wan Hafiza Wan Hassan, Nurul Adilah Abdul Latiff, Shakir Saat

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Improvement of lifetime in the power electronic drive of a BLDCM through the optimization of Fuzzy Logic Control by M. García López, P. Ponce, L. A. Soriano, A. Molina, J. J. Rodriguez

“…Power electronics elements lifetime in BLDCM drives can be affected due to power losses by conduction and switching during their operation. These losses normally aren´t consider in the design of controller, hence the controller lifetime is reduced or generate early failures. …”
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Design and Development of a Precision Spraying Control System for Orchards Based on Machine Vision Detection by Yu Luo, Xiaoli He, Hanwen Shi, Simon X. Yang, Lepeng Song, Ping Li

“…Next, a fuzzy adaptive control algorithm based on an extended state observer (ESO) was proposed, along with the design of flow and pressure controllers. …”
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A Road-Adaptive Vibration Reduction System with Fuzzy PI Control Approach for Electric Bicycles by Chao-Li Meng, Van-Tung Bui, Chyi-Ren Dow, Shun-Ming Chang, Yueh-E (Bonnie) Lu

“…This study proposes a Road-Adaptive Vibration Reduction System (RAVRS) that can be deployed on an e-bike rider’s smartphone to automatically maintain riding comfort and safety using manual assistance control. A fuzzy-based control algorithm is adopted to dynamically select the appropriate assistance level, aiming to minimize vibration while maintaining velocity and acceleration within thresholds associated with comfort and safety. …”
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Delay margin analysis of FOTID controller for RES based EV system using MMGPE optimization by Adhit Roy, Susanta Dutta, Soumen Biswas, Anagha Bhattacharya, Sajjan Kumar, Soham Dutta, Provas Kumar Roy

“…Multi model multi-objective grey prediction evolution (MMGPE) optimization has been designed to fine-tune the previously specified controller settings. A simulation study is then conducted to confirm the robustness of the proposed control strategies under a wide variety of load and system parameter variations. …”
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Power management in isolated microgrids using machine learning-based robust model predictive control by Chou-Yi Hsu, Amit Ved, Hannah Jessie Rani R, Zayd Ajsan Balsem, Nora Rashid Najem, Abhayveer Singh, P․Sasi Kiran, Ankita Aggarwal, Satish Kumar Samal, Alireza Kamranfar

“…In the proposed fuzzy system, settings are adjusted using a restricted Boltzmann machine (RBM) and contrastive divergence (CD) algorithm, and are then used for MPC optimization. …”
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Research on implementation of interventions in tuberculosis control in low- and middle-income countries: a systematic review. by Frank Cobelens, Sanne van Kampen, Eleanor Ochodo, Rifat Atun, Christian Lienhardt

“…There is a strong need for rigorous operational research studies to be carried out in programmatic settings to inform on best use of existing and new interventions in TB control.…”
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Research of the factorial knowledge assessment paradigm efficiency illustrated by an example of testing students in the automatic control theory by Rudolf A. Neydorf, Elena N. Obukhova

“…The decomposition of knowledge into lots of sections is conducted for the knowledge systematization. At that, each section is associated to a set of sub-sections which, in turn, consists of a subset of questions, the answers to which reveal the level of knowledge of each section. …”
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