The On-Chip D-LMS Filter Design Method of Wireless Sensor Node Based on FPGA by Jian Li, Maojin Li, Ming Meng, Zepeng Liu

“…Firstly, according to the autocorrelation function characteristic of random signal, using the principle that the autocorrelation function time delay characteristic of narrowband signal such as explosion vibration signal is better than that of wideband random signal such as ground noise, the D-LMS filter algorithm is constructed by introducing the time delay parameter. …”
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Feature Extraction and Classification of Power Quality Disturbances Using Optimized Tunable-Q Wavelet Transform and Incremental Support Vector Machine by Indu Sekhar Samanta, Pravat Kumar Rout, Kunjabihari Swain, Satyasis Mishra, Murthy Cherukuri

“…In the first stage, the various data are retrieved both in the form of synthetic data by mathematical formulations and real-time data with prototype design setup. In the second stage, regardless of the specified wavelet function, the PQD signals are decomposed into low-pass and high-pass sub-bands using the tunable-Q wavelet transform (TQWT). …”
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The Optimum design of arch dam shape using Particle Swarm optimization algorithm by seyed reza mousvi, نادر برهمند, Akbar Ghanbari, Arash Totonchi

“…<br /><br />Methods: The volume of concrete used was considered as the goal function of the optimization problem and the design variables were the geometric parameters of the dam. …”
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YOLOv8-BaitScan: A Lightweight and Robust Framework for Accurate Bait Detection and Counting in Aquaculture by Jian Li, Zehao Zhang, Yanan Wei, Tan Wang

“…The key innovations are as follows: (1) By incorporating the channel prior convolutional attention (CPCA) into the final layer of the backbone, the model efficiently extracts spatial relationships and dynamically allocates weights across the channel and spatial dimensions. (2) The minimum points distance intersection over union (MPDIoU) loss function improves the model’s localization accuracy for bait bounding boxes. (3) The structure of the Neck network is optimized by adding a tiny-target detection layer, which improves the recall rate for small, distant bait targets and significantly reduces the miss rate. (4) We design the lightweight detection head named Detect-Efficient, incorporating the GhostConv and C2f-GDC module into the network to effectively reduce the overall number of parameters and computational cost of the model. …”
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Dynamic bone recognition for robotic vertebral plate cutting via unit energy consumption and SVM optimized by PSO by Heqiang Tian, Jing Zhao, Ying Sun, Jinchang An

“…The study confirms the feasibility of the predictive bone recognition model, which enhances the precision of robotic vertebral plate cutting by enabling real-time dynamic adjustment of cutting parameters based on bone type.…”
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DESAIN KONTROL PENGOBATAN PADA MODEL SIRD UNTUK PENYEBARAN VIRUS COVID-19 MENGGUNAKAN BACKSTEPPING by Khozin Mu'tamar, Janson Naiborhu, Roberd Saragih

“…This stage will be carried out iteratively until the last state variable is stabilized using a real control function. This control function is then applied to the SIRD model using the inverse of IOFL transformation. …”
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Exponential Squared Loss-Based Robust Variable Selection with Prior Information in Linear Regression Models by Hejun Wei, Tian Jin, Yunquan Song

“…In addition, the loss function adopted in this paper is a robust exponential squared loss function, which ensures that the estimation of model parameter coefficient will not have a great impact when there are a few outliers in the dataset. …”
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Fault-Tolerant Control for Carrier-Based Aircraft Automatic Landing Subject to Multiple Disturbances and Actuator Faults by Qilong Wu, Qidan Zhu

“…Secondly, ADRC is designed to estimate and compensate for actuator faults and disturbances in real time. RBFNN adjusts the ADRC controller parameters based on the system state. …”
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A New Member of T-X Family with Applications in Different Sectors by Zubir Shah, Amjad Ali, Muhammad Hamraz, Dost Muhammad Khan, Zardad Khan, M. EL-Morshedy, Afrah Al-Bossly, Zahra Almaspoor

“…Some mathematical properties including hazard rate function, ordinary moments, moment generating function, and order statistics are discussed. …”
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Modeling the Dynamics of Dengue Transmission with Awareness and Optimal Control Analysis. by Faishal F Herdicho, F Fatmawati, Cicik Alfiniyah, Farah P Fajrin, Ebenezer Bonyah, Muhammad A Rois, Olumuyiwa J Peter

“…In this work, we formulate the dengue model by considering the population of aware humans. The real data of dengue infection in East Java, Indonesia is employed to estimate the parameters of the dengue model. …”
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Statistical inference on progressive-stress accelerated life testing for the Perk distribution under adaptive type-II hybrid censoring scheme by Eslam Hussam, Ehab M. ALMetwally

“…Furthermore, the reliability function of the distribution is estimated. A real data set is analyzed to clarify the methods proposed in this paper. …”
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Synergistic Integration of LQR Control and PSO Optimization for Advanced Active Suspension Systems Utilizing Electro-Hydraulic Actuators and Electro-Servo Valves by Trong Tu

“…By leveraging PSO, the LQR controller parameters are fine-tuned to minimize a cost function that integrates both comfort and stability up to 76.91%. …”
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Reliability evaluation method and system for the ventilation door cylinder based on Bayes Monte Carlo simulation by Peiyang Su, Liwen Guo, Jiayong Zhang, Li Ma

“…By deriving the posterior distribution function of Weibull parameters, Monte Carlo simulation is employed to estimate these parameters across various operational conditions. …”
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Correction possibilities of drug-induced liver toxicity in the treatment of patients with blood system tumors by V. B. Larionova, A. V. Snegovoy

“…Changes in laboratory parameters of liver function were studied. In 20 patients with blood system tumors, the biochemical parameters associated with cell metabolism were analyzed – lipid peroxidation, nitric oxide (NOx ) level, impaired liver detoxification capacity by glutathione level and glutathione-S-transferase activity. …”
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Co-Simulation Model for Determination of Optimal Active Power Filters Settings in Low-Voltage Network by Mario Primorac, Zvonimir Klaić, Heidi Adrić, Matej Žnidarec

“…The research in this paper was conducted on a real radial low-voltage feeder, where at each node, the variability of production and/or consumption is taken, which is obtained on the basis of real measurements and tests. …”
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Effects of Mangifera indica leaves improves blood lipids profile and biochemical indices in high-fat diet-induced hyperlipidaemia rats by Liu Lijia, Li Siwei, Liang Lingling, Mao Yan

“…Furthermore, body lipid index and reduced inflammatory reaction and liver function parameters in HFD control rats were markedly ameliorated by supplementation with high doses of MLE. …”
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Fast and Accurate Density Estimation of Hybrid Rice Seedlings Using a Smartphone and an Improved YOLOv8 Model by Zehua Li, Yongjun Lin, Yihui Pan, Xu Ma, Xiaola Wu

“…A dynamic head module was added to the head network to enhance the capability of the model to identify seedlings. The CIoU loss function was replaced by the EIoU loss function, enhancing the convergence speed of the model. …”
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Online electric network capacity assesment by A. I. Motovilov, I. I. Solovejev

“…In this study of the steady-state operating modes of the power system, a method is proposed for online modeling of the parameters of the electric power regime and its verification in a real scheme for determining the throughput of the electric grid. …”
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Refined Judgment of Urban Traffic State Based on Machine Learning and Edge Computing by Lijuan Liu

“…Machine learning is a discipline that covers probability theory, statistics, approximate theoretical knowledge, and complex algorithm knowledge. It is committed to real-time simulation of human learning methods, which can effectively improve learning efficiency. …”
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Systematic Literature Review on Adjustable Robust Shortest Path Problem by Wida Nurul Fauziyah, Diah Chaerani, Herlina Napitupulu

“…In real-world optimization problems, effective path planning is important. …”
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