Analysis of Unmanned Surface Vehicles Heading KF-Based PI-(1+PI) Controller Using Improved Spider Wasp Optimizer by Xiaoyu Li, Xiangye Zeng, Jingyi Wang, Qi Li, Baoshuo Fan, Qi Zeng

“…To overcome these issues, the ISWO integrates dynamic adaptive grouping, perturbation dimension-symmetric distance optimization, and nonlinear time-varying weights, enhancing convergence speed and optimization accuracy. …”
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Butterfly magnetoreception based neighbour awareness strategy protocol for autonomous aerial vehicles by Janjhyam Venkata Naga Ramesh, C. Dastagiraiah, Suraya Mubeen, W. Deva Priya, M. Kameswara Rao, B. H. K. Bhagat Kumar

“…However, navigating through high-density obstacle environments poses substantial challenges due to process overheads, dynamic environmental conditions, and scalability issues. …”
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Drilling Rate of Penetration Prediction Based on CBT-LSTM Neural Network by Kai Bai, Siyi Jin, Zhaoshuo Zhang, Shengsheng Dai

“…To address these issues, this study proposes an improved LSTM neural network model for ROP prediction (CBT-LSTM). …”
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Robust QoT Assured Resource Allocation in Shared Backup Path Protection Based EONs by Venkatesh Chebolu, Sadananda Behera, Goutam Das

“…Next, we employ our SBPP-IA algorithm for dynamic traffic scenario and compare it with existing algorithms in terms of different QoT parameters. …”
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Enhancing heart disease classification with M2MASC and CNN-BiLSTM integration for improved accuracy by Vivek Pandey, Umesh Kumar Lilhore, Ranjan Walia, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Sultan Algarni

“…The classifier parameters are tuned using the modified mixed attention and search optimization. …”
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Experimental Autonomous Road Vehicle with Logical Artificial Intelligence by Sergey Sergeevich Shadrin, Oleg Olegovich Varlamov, Andrey Mikhailovich Ivanov

“…The primary objective of the related study was to solve the problem associated with the precise prediction of the dynamic trajectory of an autonomous vehicle. This was accomplished by deriving a new equation for determining the lateral tire forces and adjusting some of the vehicle parameters under road test conductions. …”
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Wellbore stability analysis based on the combination of geomechanical and petrophysical studies by Abdolmanan Ounegh, Atefeh Hasan-Zadeh, Mohammad Mohammadi Khanaposhtani, Yousef Kazaemzadeh

“…Ignoring geomechanical studies and tools has led to millions of dollars in additional costs related to drilling, meshwork optimization, production optimization, casing collapse, and other issues. These costs can be managed with a thorough geomechanical study. …”
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A Lightweight Approach to Comprehensive Fabric Anomaly Detection Modeling by Shuqin Cui, Weihong Liu, Min Li

“…At the same time, other innovative components, such as GhostConv, dynamic convolutions, feature fusion modules, and a shared group convolution head, are applied to effectively handle multi-scale issues. …”
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Optimization model for reliability-based maintenance strategies of critical components in electric multiple units by CHEN Jiayu, SONG Dongli, GENG Fangdong

“…In addition, a parallel quantum genetic algorithm was incorporated to calculate parameters such as the optimal maintenance interval and reliability. …”
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Intelligent systems and consumer neuroscience in the age of computational advertising by Zámečník Robert

“…According to the specified parameters, a systematic literature search of scientific publications was carried out and subsequently evaluated. …”
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A Blockchain-Integrated Federated Learning Approach for Secure Data Sharing and Privacy Protection in Multi-Device Communication by Kejun Li

“…This approach aims to handle the distributed trust issues of federated learning users and update data states rapidly. …”
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Federated learning scheme for mobile network based on reputation evaluation mechanism and blockchain by Ming YANG, Xuexian HU, Qihui ZHANG, Jianghong WEI, Wenfen LIU

“…Federated learning is a new distributed machine learning technology, where training tasks are deployed on user side and training model parameters are sent to the server side.In the whole process, participants do not need to share their own data directly, which greatly avoids privacy issues.However, the trust relationship between mobile users in the learning model has not been established in advance, there is hidden safety when users perform cooperative train with each other.In view of the above problems, a federated learning scheme for mobile network based on reputation evaluation mechanism and blockchain was proposed.The scheme allowed the server side to use subjective logic models to evaluate the reputation of participating mobile users and provided them with credible reputation opinions sharing environment and dynamic access strategy interface based on the technique of smart contract of blockchain.Theoretical and experimental analys is results show that the scheme can enable the server side to select reliable users for training.And it can achieve more fair and effective reputation calculations, which improves the accuracy of federated learning.…”
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Investigation of operation factors in the self-balancing device of the washing machine in resonance zone by Sergey N. Alekhin, Sergey P. Petrosov, Alexey S. Alekhin

“…The paper objective is to solve the issues related to the increase of reliability, profitability, and safety of modern washing machines on the basis of decrease in dynamic loads under whizzing. …”
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Power system and energy management strategy for hydrogen fuel hybrid power shunting locomotive by NIU Xuexin, BAI Huan

“…The paper investigated and designed a hybrid power source system, with hydrogen fuel cells as the primary source and lithium batteries as the auxiliary power source, for locomotives used in station operations, addressing issues of slow dynamic response, soft output characteristics, and inability to recover braking energy associated with fuel cell technology. …”
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Implementation of Kalman Filter on PID Based Quadcopter for Controlling Pitch Angle by Ernando Rizki Dalimunthe, Novan Dwiki Ananda, Jaka Persada Sembiring, Muhammad Anwar Sadat Faidar, Elka Pranita, Akhmad Jayadi, Novia Utami Putri

“…Improving quadcopter control systems poses significant challenges in unmanned flight technology development. Key issues include the intricate nature of PID and Kalman filter parameter settings, necessitating profound knowledge of system dynamics and sensor properties. …”
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Generalized Gaussian Distribution Improved Permutation Entropy: A New Measure for Complex Time Series Analysis by Kun Zheng, Hong-Seng Gan, Jun Kit Chaw, Sze-Hong Teh, Zhe Chen

“…Simulation results indicate that GGDIPE is less sensitive to parameter variations, exhibits strong noise resistance, accurately reveals the dynamic behavior of chaotic systems, and operates significantly faster than PE. …”
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Mathematical modeling of angular displacements of the base machine of a twoconsole sprinkler unit by T. G. Gasanov, E. Z. Batmanov, M. R. Guseynov, M. T. Mutalibov

“…With the help of a mathematical model, the issues of the interaction of the base machine with the road surface and the sprinkler farm were analyzed in three dynamic states of the unit in a plane perpendicular to the working movement of the base machine, the angular characteristics of the base machine turning in the transverse direction when hitting an obstacle at different speeds without taking into account the elastic-deforming ability of the soil.Result. …”
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An efficient routing protocol for internet of medical things focusing hot spot node problem by Ghufran Ahmed, Danish Mehmood, Khurram Shahzad, Rauf Ahmed Shams Malick

“…For remote monitoring, existing systems use different types of Internet of things devices that measure different health parameters. One of the major problems in such a system is to find an optimum routing approach that can resolve energy and thermal issues that are taking the limelight in the research arena. …”
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ESO-Based Non-Singular Terminal Filtered Integral Sliding Mode Backstepping Control for Unmanned Surface Vessels by Jianping Yuan, Zhuohui Chai, Qingdong Chen, Zhihui Dong, Lei Wan

“…This research offers a more efficient and reliable method for precise heading control and path tracking of USVs in complex and dynamic environments.…”
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EVALUATION OF NEOADJUVANT CHEMOTHERAPY RESPONSE IN PATIENTS WITH OVARIAN CANCER – MODERN ABILITIES OF MAGNETIC RESONANCE IMAGING by A. D. Makatsariya, A. E. Solopova, S. N. Gurov, S. K. Ternovoy

“…MR-study was performed on a superconductive 1.5 T MRI, using protocol: T2-, stir, T1-, Dynamic 3D FS, DWI with b-factors 0,1000 m/mm2 , with an estimate value of the apparent diffusion coefficient (ADC). …”
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