STRATEGY OF DATA INTEGRITY CONTROL FOR SYSTEM WIDE INFORMATION MANAGEMENT CONCEPT by L. E. Rudel'son, S. N. Smorodskiy, A. S. Stepanenko

“…All the interconnected elements of air traffic management (personnel and equipment) may distort the system public information with the known probability of cooperation outcomes. The article proposes a three-level algorithm for neutralizing data mismatch in the elements of a distributed network of process participants ground and on-board computing facilities, allowing in the actual time to maintain consistency of information about the current air situation and its development prospects. …”
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Deploying UAV-based detection of bridge structural deterioration with pilgrimage walk optimization-lite for computer vision by Jui-Sheng Chou, Chi-Yun Liu, Pin-Jun Guo

“…The YOLOv7 model, fine-tuned with the Pilgrimage Walk Optimization (PWO)-Lite algorithm, achieved the highest accuracy, recording a 65.6 % mAP50 on the testing set. …”
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Nonlinear optimal control for the five-axle and three-steering coupled-vehicle system by G. Rigatos, M. Abbaszadeh, K. Busawon, P. Siano, M. Al Numay, G. Cuccurullo, F. Zouari

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Mathematical Modelling and Optimisation of Operating Parameters for Enhanced Energy Generation in Gas Turbine Power Plant with Intercooler by Anthony O. Onokwai, Udochukwu B. Akuru, Dawood A. Desai

“…The study combined response surface methodology (RSM) and central composite design (CCD) with advanced metaheuristic algorithms, including ANFIS, ANFIS PSO and ANFIS GA, to model nonlinear interactions of key parameters, including the pressure ratio, ambient temperature, turbine inlet temperature and the effectiveness of the intercooler. …”
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Optimization research on laminated cooling structure for gas turbines: A review by Xiaojing Tian, Weiqi Ye, Liang Xu, Anjian Yang, Langming Huang, Shenglong Jin

“…The review shows that laminated cooling structure, as a kind of composite cooling structure, has numerous geometrical and flow factors affecting its cooling efficiency. …”
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Dynamic Cascade Spiking Neural Network Supervisory Controller for a Nonplanar Twelve-Rotor UAV by Cheng Peng, Guanyu Qiao, Bing Ge

“…The weight learning algorithm and dynamic cascade structure learning algorithm work together to ensure network stability and robustness. …”
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A Two-Step Motion Compensation Method for Polar Format Images of Terahertz SAR Based on Echo Data by Shaowen Luo, Qiuyan Wang, Yinwei Li, Xiaolong Chen, Yiming Zhu

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Ideological Field Model in the Ossetian Political Narrative by Tatyana Yu. Tameryan, Viacheslav I. Terkulov

“…The aim of the article is to build an algorithm for the conceptual interaction of nuclear ideological concepts and party systems at the implicit and verbal levels in the South Ossetian party narrative. …”
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Reliability Estimation for the Gull Alpha Power Pareto Model Under Progressive Type-I Censoring by Mahmoud M. Abdelwahab, Ahmed R. El-Saeed, M. A. Abdelkawy, Mohamed Khalifa Ahmed Issa, Hanem Mohamed

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Targeted Chemical Looping Materials Discovery by an Inverse Design by Brett A. Duell, Ali Ramazani, Sittichai Natesakhawat, Eric J. Popczun, Jonathan W. Lekse, Yuhua Duan

“…The model is trained on high‐throughput density functional theory calculations of CLOU materials and inverts the materials design process using a genetic algorithm to produce realistic substituted SrFeO3‐δ compositions as output. …”
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Leveraging Machine Learning for Optimized Mechanical Properties and 3D Printing of PLA/cHAP for Bone Implant by Francis T. Omigbodun, Norman Osa-Uwagboe, Amadi Gabriel Udu, Bankole I. Oladapo

“…Furthermore, this study integrates machine learning techniques to predict the mechanical properties of these composites, employing algorithms such as XGBoost and AdaBoost. …”
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Five-Year Evaluation of Sentinel-2 Cloud-Free Mosaic Generation Under Varied Cloud Cover Conditions in Hawai’i by Francisco Rodríguez-Puerta, Ryan L. Perroy, Carlos Barrera, Jonathan P. Price, Borja García-Pascual

“…We conducted a comparative analysis of three cloud-masking methods: two Google Earth Engine algorithms (CloudScore+ and s2cloudless) and a new proprietary deep learning-based algorithm (L3) applied to Sentinel-2 imagery. …”
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Soybean Yield Estimation Using Improved Deep Learning Models With Integrated Multisource and Multitemporal Remote Sensing Data by Jian Li, Junrui Kang, Ji Qi, Jian Lu, Hongkun Fu, Baoqi Liu, Xinglei Lin, Jiawei Zhao, Hengxu Guan, Jing Chang, Zhihan Liu

“…This TransBiHGRU-PSO algorithmic framework, combined with multisource and multitemporal remote sensing data, offers a valuable exploration for large-scale soybean yield estimation.…”
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Identification and optimization of relevant factors for chronic kidney disease in abdominal obesity patients by machine learning methods: insights from NHANES 2005–2018 by Xiangling Deng, Lifei Ma, Pin Li, Mengyang He, Ruyue Jin, Yuandong Tao, Hualin Cao, Hengyu Gao, Wenquan Zhou, Kuan Lu, Xiaoye Chen, Wenchao Li, Huixia Zhou

“…Furthermore, an optimal predictive model was developed for CKD using ten machine learning algorithms and enhanced model interpretability with the Shapley Additive Explanations (SHAP) method. …”
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A Collaborative Multi-Agent Reinforcement Learning Approach for Non-Stationary Environments with Unknown Change Points by Suyu Wang, Quan Yue, Zhenlei Xu, Peihong Qiao, Zhentao Lyu, Feng Gao

“…We propose a novel cooperative Multi-Agent Reinforcement Learning (MARL) algorithm based on MADDPG, termed MACPH, which innovatively incorporates three mechanisms: a Composite Experience Replay Buffer (CERB) mechanism that balances recent and important historical experiences through a dual-buffer structure and mixed sampling; an Adaptive Parameter Space Noise (APSN) mechanism that perturbs actor network parameters and dynamically adjusts the perturbation intensity to achieve coherent and state-dependent exploration; and a Huber loss function mechanism to mitigate the impact of outliers in Temporal Difference errors and enhance training stability. …”
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A novel conceptual design approach for autonomous underwater helicopter based on multidisciplinary collaborative optimization by Yuan-Jie Chen, Haocai Huang

“…Additionally, a novel approximation model is introduced, combining the Logistic-Tent chaos sparrow search algorithm (LTC-SSA) with the backpropagation neural network (BPNN) algorithm. …”
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Dual-Modal Fusion PRI-SWT Model for Eddy Current Detection of Cracks, Delamination, and Impact Damage in Carbon Fiber-Reinforced Plastic Materials by Rongyan Wen, Chongcong Tao, Hongli Ji, Jinhao Qiu

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A novel hybrid machine learning approach for δ13C spatial prediction in polish hard-water lakes by Himan Shahabi, Ataollah Shirzadi, Alicja Ustrzycka, Natalia Piotrowska, Janusz Filipiak, Marzieh Hajizadeh Tahan

“…In this study, a random forest (RF), M5P, AMT, and Gaussian process (GP) are the four cutting-edge ML algorithms that are compared with the proposed hybrid model (ARAMT). …”
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Measuring. Monitoring. Management. Control by V.D. Yezhizhanskiy, D.S. Boyarkin, D.A. Golushko, I.R. Abuzyarov, A.V. Lysenko

“…The structure of the information and measurement system with a description of the functions and composition of its elements is given. The algorithm of life support system management is presented graphically and its structure is substantiated. …”

Research on Fault Diagnosis Method of Reciprocating Compressor Based on RSSD and Optimized Parameter RCMDE by Fengxia Lyu, Xueping Ding, Qianqian Li, Suzhen Chen, Siyi Zhang, Xinyue Huang, Wenqing Huang

“…In this paper, a method based on optimized resonance-based sparse signal decomposition (RSSD) and refined composite multiscale dispersion entropy (RCMDE) is proposed. …”
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