Optimal Asynchronous Guaranteed Cost Control of Uncertain Markov Jump Systems With Actuator Saturation and Nonideal Transition Probabilities by Jiazheng Liu, Yang Yang, Yaru Song

“…Finally, a convex optimization algorithm is proposed to design the optimal asynchronous event-triggered guaranteed cost control law, and a DC motor model is provided to validate its effectiveness.…”
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Development of an information measuring and control system for a quadrocopter by V. V. Sleptsov, V. L. Afonin, A. E. Ablaeva, Ba Phuong Dinh

“…The paper studies an illustrative algorithm for the operation of the informationmeasuring and control system of the quadcopter. …”
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Integrated Scheduling of Multi-Objective Job Shops and Material Handling Robots with Reinforcement Learning Guided Meta-Heuristics by Zhangying Xu, Qi Jia, Kaizhou Gao, Yaping Fu, Li Yin, Qiangqiang Sun

“…Three reward setting strategies are designed for reinforcement learning algorithms. Finally, the proposed algorithms are examined by solving 82 benchmark instances. …”
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Applying fractional calculus to malware spread: A fractal-based approach to threat analysis. by Nausheen Razi, Muhammad Bilal Riaz, Ambreen Bano, Tayyab Kamran, Umar Ishtiaq, Anum Shafiq

“…Existence, uniqueness and stability conditions are investigated for FF model. Numerical algorithm based on Lagrange two points interpolation polynomial is formed and simulation is done using Matlab R2016a on the deterministic model. …”
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Performance of the Priority Control Strategies for Bus Rapid Transit: Comparative Study from Scenario Microsimulation Using VISSIM by Min Yang, Wei Wang, Bo Wang, Jing Han

“…Signal priority using advanced detection is a strategy which detects one cycle ahead of buses’ arrival in order to adapt a more flexible control algorithm to provide signal priority for buses. Another is transit speed control, which provides priority at intersections for buses by controlling the speed of them and predicting their arrival at certain intersection. …”
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A Decentralized Partially Observable Decision Model for Recognizing the Multiagent Goal in Simulation Systems by Shiguang Yue, Kristina Yordanova, Frank Krüger, Thomas Kirste, Yabing Zha

“…Additionally, a model-free algorithm, cooperative colearning based on Sarsa, is exploited to estimate agents’ policies under the assumption of rationality, which makes the training dataset unnecessary. …”
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Accuracy Evaluation of Standardized Precipitation Index (SPI) Estimation under Conventional Assumption in Yeşilırmak, Kızılırmak, and Konya Closed Basins, Turkey by Mehmet Ali Hinis, Mehmet Selim Geyikli

“…The doubt in the calculation algorithm of the standardized precipitation index (SPI), which is widely preferred in the evaluation and monitoring of drought, still remains up-to-date because its calculation process is performed in the form of standardization or normalization with a default probability distribution. …”
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White Matter Atrophy in Patients with Mesial Temporal Lobe Epilepsy: Voxel-Based Morphometry Analysis of T1- and T2-Weighted MR Images by Barbara Braga, Clarissa L. Yasuda, Fernando Cendes

“…We analyzed T1- and T2- weighted images with SPM8, using VBM/DARTEL algorithm to extract maps of GM and WM. The second level of SPM was used to investigate areas of WM atrophy among groups. …”
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Optimization Method of Underwater Flapping Foil Propulsion Performance Based on Gaussian Process Regression and Deep Reinforcement Learning by YANG Yinghe, WEI Handi, FAN Dixia, LI Ang

“…Under different propulsion performance requirements, the TD3 algorithm in deep reinforcement learning (DRL) is trained for maximizing rewards and obtaining the optimal combination of multiple parameter actions in continuous intervals. …”
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IMPLEMENTATION OF BALANCING DATA METHOD USING SMOTETOMEK IN DIABETES CLASSIFICATION USING XGBOOST by Fatwa Ratantja Kusumajati, Basuki Rahmat, Achmad Junaidi

“… In this research, XGBoost algorithm and the SMOTETomek approach are employed with the objective of enhancing the accuracy of diabetes classification. …”
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Automatic Voltage Regulator Betterment Based on a New Fuzzy FOPI+FOPD Tuned by TLBO by Mokhtar Shouran, Mohammed Alenezi

“…To optimize the controller parameters, the Teaching–Learning-Based Optimization (TLBO) algorithm is utilized in conjunction with the Integral Time Absolute Error (ITAE) objective function, ensuring precise tuning for optimal control behavior. …”
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GLBR: A novel global load balancing routing scheme based on intelligent computing in partially disconnected wireless sensor networks by Zeyu Sun, Guisheng Liao, Cao Zeng, Lan Lan, Guozeng Zhao

“…Second, we adopt the genetic algorithm to build extra routing between different segments for intersegment load balancing. …”
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A Novel Architecture for Addressing the Throughput Bottleneck in Spaceborne Solid-State Recorder for Electromagnetic Spectrum Sensors by Xufeng Li, Li Zhou, Yan Zhu

“…The throughput of the S-SSR is primarily limited by three factors: the performance of the error-checking algorithm, the inability of a single FPGA to support the parallel expansion of too many Flash chips due to its limited effective I/O pins, and the efficiency of FLASH control. …”
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Management of the Pregnant Inflammatory Bowel Disease Patient on Antitumour Necrosis Factor Therapy: State of the Art and Future Directions by Yvette PY Leung, Remo Panaccione, Subrata Ghosh, Cynthia H Seow

“…Based on a clinical algorithm used at the University of Calgary Pregnancy and IBD clinic (Calgary, Alberta), recommendations have been provided on the management of pregnant patients on anti-TNF therapy, particularly with regard to third-trimester dosing, taking into account disease characteristics of individual patients. …”
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A Novel Hybrid Die Design for Enhanced Grain Refinement: Vortex Extrusion–Equal-Channel Angular Pressing (Vo-CAP) by Hüseyin Beytüt, Kerim Özbeyaz, Şemsettin Temiz

“…The optimization process utilized an integrated approach combining Finite Element Analysis (FEA), artificial neural networks (ANNs), and the non-dominated sorting genetic algorithm II (NSGA-II). The optimized die successfully achieved a balance between maximizing effective strain while minimizing pressing load and strain inhomogeneity. …”
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REFINED ESTIMATES OF DIRECT PYROGENIC CARBON EMISSIONS IN RUSSIAN FORESTS BASED ON REMOTE MONITORING DATA FROM 2011 TO 2023 by D. V. Ershov, E. N. Sochilova, K. A. Kovganko

“…As a result of the above changes in the data and the calculation algorithm for the thirteen-year period, the average annual pyrogenic emission is 107.4 ± 56.7 MtC year-1 or 393.7 ± 207.9 CO2 equivalent. …”
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Energy and exergy analysis of a modified air handling unit assisted by phase change material, heat recovery unit, and solar energy by Saman Faramarzi, Seyed Mohammad Mehdi Asadzadeh, Mohammad Reza Mohammad Hassani, Seyyed Amirreza Abdollahi, Reza Zarehzadeh, Mostafa Mafi

“…Through detailed energy and exergy analyses, the study evaluates the AHU’s performance and optimises the thickness and position of the PCM layer using genetic algorithm (GA) optimisation. Simulation of the proposed system was conducted using ASPEN Hysys and MATLAB software. …”
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Monte Carlo Simulation of the Effect of Melanin Concentration on Light–Tissue Interactions in Reflectance Pulse Oximetry by Raghda Al-Halawani, Meha Qassem, Panicos A. Kyriacou

“…The results indicate that a one-algorithm-fits-all calibration approach may be insufficient, and root mean square errors (RMSEs) of at least 0.3956%, 0.9132%, and 8.4111% for light, moderate, and dark skin are observed when compared to transmittance calibration algorithms. …”
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Intelligent Psychology Teaching System Based on Adaptive Neural Network by Xiaojia Pang

“…Firstly, the basic structure of the neural network in the teaching system is introduced, the psychological teaching algorithm based on the adaptive neural network is introduced, the ideas are formulated, and the four learning methods and the design elements of the adaptive neural network are described. …”
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A Preliminary Study on 2D Convolutional Neural Network-Based Discontinuous Rail Position Classification for Detection on Rail Breaks Using Distributed Acoustic Sensing Data by Hye-Yeun Chun, Jungtai Kim, Dongkue Kim, Ilmu Byun, Kyeongjun Ko

“…To analyze the vibration data, a preprocessing algorithm for determining train occupancy is applied first. …”
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