Impact of Low-dose Imaging on PET Quantitative Accuracy and Image Quality by SU Xuesong, GENG Jianhua, ZHENG Rong, WANG Xuejuan

“…In this study, phantom experiments were conducted with the objective of achieving real low-dose PET imaging by radionuclide decay. …”

Optimizing HVAC&R System Efficiency and Comfort Levels Using Machine Learning-Based Control Methods by Suroor M. Dawood, Raad Z. Homod, Alireza Hatami

“…Devoting the MB-RL and DP-MB-RL techniques to online control of an HVAC&R system, the simulation results for both methods are provided. For instance, the parameters, like electrical power, internal comfort levels, energy consumed, and energy cost at different pricing schemes, such as fixed pricing (FP), time-of-use (TOU), and real-time pricing (RTP), are assessed. …”
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Energy Management of a Semi-Autonomous Truck Using a Blended Multiple Model Controller Based on Particle Swarm Optimization by Mohammad Ghazali, Ishaan Gupta, Kemal Buyukkabasakal, Mohamed Amine Ben Abdallah, Caner Harman, Berfin Kahraman, Ahu Ece Hartavi

“…The approach combines a particle swarm optimization algorithm to determine optimal controller gains and a multiple model controller to adapt these gains dynamically based on real-time vehicle mass. The main objectives of the proposed method are to (i) optimize controller parameters, (ii) reduce overall energy consumption, and (iii) minimize speed tracking error. …”
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Research on SeaTreasure Target Detection Technology Based on Improved YOLOv7-Tiny by Xiang Shi, Yunli Zhao, Jinrong Guo, Yan Liu, Yongqi Zhang

“…First, based on the YOLOv7-Tiny network, the MAFPN neck structure is used to replace the ELAN structure to achieve the multi-scale capture of semantic information of underwater sea treasures, and to enhance the UPA-YOLO model to accurately locate the targets of underwater sea treasures; second, the P2ELAN module is constructed and added to the backbone network, which makes use of the redundancy information in the feature map and dynamically adjusts the convolution kernel to adapt to data The P2ELAN module is added to the backbone network, using the redundant information in the feature map, dynamically adjusting the convolutional kernel to adapt to the lack of data, reducing the number of parameters in the model, and introducing the MSCA attention mechanism to inhibit the complex and changeable background features underwater, to improve the semantic feature extraction ability of the UPA-YOLO model for underwater targets, adding the MPDiou loss function to the improved algorithm model and completing the data validation of the detection model; finally, based on the TensorRT acceleration framework, the optimisation of the target detection Finally, based on the TensorRT acceleration framework, the target detection model is optimised, and the Jetson Nano edge device is used to complete the localisation deployment and realise the real-time target detection task of underwater sea treasures. …”
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Design of a novel and robust 2-DOF PIDA controller based on enzyme action optimizer for ball position regulation in magnetic levitation systems by Serdar Ekinci, Davut Izci, Mostafa Jabari, Mohit Bajaj, Olena Rubanenko

“…The EAO algorithm balances global exploration and local exploitation to efficiently optimize the 2-DOF PIDA controller parameters, minimizing the integral of absolute error (IAE) as the objective function. …”
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Maximum Likelihood and Bayes Estimation in Randomly Censored Geometric Distribution by Hare Krishna, Neha Goel

“…Maximum likelihood estimators and confidence intervals based on Fisher information matrix are derived for the unknown parameters with randomly censored data. Bayes estimators are also developed using beta priors under generalized entropy and LINEX loss functions. …”
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Design and Experiment on Single-Chip Microprocessor for MRD Coupling Sensing and Control by Ying-Qing Guo, Tao Liu, Zhao-Dong Xu, Yong Chen

“…Its damping forces can be adjusted in real-time by updating control currents of the MR damper according to the state parameters of the structure. …”
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Modulation of the Toll-like Receptor 3-Mediated Intestinal Immune Response by Water Kefir by Stefania Dentice Maidana, Ramiro Ortiz Moyano, Mariano Elean, Yoshiya Imamura, Leonardo Albarracín, Fu Namai, Yoshihito Suda, Keita Nishiyama, Julio Villena, Haruki Kitazawa

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Pathway-based network medicine identifies novel natural products for Alzheimer’s disease by Yumei Liang, Siqi Xie, Jianping Jia

“…Cognitive function was evaluated via behavioral tests, such as novel object recognition, Y-maze, and Morris water maze tests. …”
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Interior Point Algorithm in Multi-objective Portfolio Optimization: GlueVaR Approach by Elaheh Gohania, Gholamreza Mansourfar, Fahimeh Biglari

“…Common algorithms for quadratic programming require certain parameters with fixed values. Such algorithms are extensively employed for solving real-world problems, particularly in financial contexts. …”
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Role of PI3K/AKT/mTOR signaling pathway and sirtuin genes in chronic obstructive pulmonary disease development by G. F. Korytina, L. Z. Akhmadishina, V. A. Markelov, Y. G. Aznabaeva, O. V. Kochetova, T. R. Nasibullin, A. P. Larkina, N. N. Khusnutdinova, N. Sh. Zagidullin, T. V. Victorova

“…A significant genotype-dependent variation of lung function parameters was observed for SIRT1 (rs3818292), SIRT3 (rs3782116), PIK3R1 (rs3730089), and MTOR (rs2536). …”
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Extended Odd Fréchet-G Family of Distributions by Suleman Nasiru

“…The maximum likelihood method is used to develop estimators for the parameters of the new class of distributions. The application of the special distributions is illustrated by means of a real data set. …”
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Design and implementation of NB-IoT based environmental temperature and humidity monitoring system by Minmin MAO, Jiaqi JU, Yuling OUYANG, Yan JIN

“…In view of the disadvantages of the traditional environmental monitoring system, such as high power consumption, high maintenance cost and no real-time monitoring, an environmental temperature and humidity monitoring system based on narrow band Internet of things (NB-IoT) technology was developed, which is mainly controlled by singlechip microcomputer.The work flow of the main controller and the working mode of the communication module were optimized to reduce the power consumption of the system.NB-IoT communication technology was utilized for data transmission to the cloud platform through the base station and core network.China Mobile IoT open platform (OneNET platform) was adopted to achieve the connection between the terminal device and the application, and expanded functions provided by the platform was used to design a mobile phone application to achieve the remote real-time monitoring of environmental parameters and improve the user’s convenience.…”
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A New Type Iterative Ridge Estimator: Applications and Performance Evaluations by Aydın Karakoca

“…However, it is more likely to encounter different levels of relationships between the independent variables in real data sets. In this study, a new type iterative ridge estimator is proposed based on a modified form of the estimated mean square error function. …”
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Application of Lightweight Target Detection Algorithm Based on YOLOv8 for Police Intelligent Moving Targets by Yanjie Zhang, Xiaojun Liu, Yuehan Shi, Zecong Ding, Xiaoming Zhang

“…Finally, BiFormer uses dynamic sparse attention for more flexible computational allocation and content perception. The method’s real-time detection speed is 4.81 frames per second (FPS) faster, mAP@0.5 is 5.38% faster, mean average precision (mAP)@0.5:0.95 is 4.19% faster, and parameter volume is 5.81 M less than the original approach. …”
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On the development of a practical Bayesian optimization algorithm for expensive experiments and simulations with changing environmental conditions by Mike Diessner, Kevin J. Wilson, Richard D. Whalley

“…The method is validated on two synthetic test functions, and the effects of the noise level, the number of environmental parameters, the parameter fluctuation, the variability of the uncontrollable parameters, and the effective domain size are investigated. …”
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Application of Machine Learning for Adaptive Trajectory Control of UAVs Under Uncertainty by Alexander S. Ermilov, Olga A. Saltykova

“…Further research could focus on developing collective control for UAV groups and improving real-time ML integration. This would expand UAV functionality, improve efficiency, and reduce resource consumption.…”
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Transmissibility-Based Operational Modal Analysis: Enhanced Stabilisation Diagrams by Gert De Sitter, Christof Devriendt, Patrick Guillaume

“…Recently it has been shown that also transmissibilities can be used to identify the modal parameters. This approach has several advantages: because of the deterministic character of the transmissibility functions, the estimated parameters are more accurate than the results obtained with the power spectra based operational modal analysis techniques. …”
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Discrete Extension of Poisson Distribution for Overdispersed Count Data: Theory and Applications by Mohamed S. Eliwa, Muhammad Ahsan-ul-Haq, Amani Almohaimeed, Afrah Al-Bossly, Mahmoud El-Morshedy

“…A simulation study was conducted to evaluate the performance of different estimators based on the biases, mean related-errors, and mean square errors of the estimators. In the end, real data sets from different fields are analyzed to verify the usefulness of the new probability mass function over some notable discrete distributions. …”
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Online identification of stability region for large-scale wind farms, Part I: Clustering based piecewise affine impedance modeling by Jia Luo, Peng Wang, Haoran Zhao, Chenxinwei Yuan, Tiancheng Liu, Vladimir Terzija

“…A clustering algorithm is employed to optimize the partitioning of the parameter space. In each partition, the impedance is expressed as a first-order explicit function of the complex variable and the operating state variables. …”
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