Shoreline_veget— a new shoreline extraction method for vegetation seas, with high robustness, accuracy and scalability by Weihua Li, Lianglin Liu, Wei Zhu, Jiuming Li, Teng Liu

“…This method can reduce the overall shoreline accuracy from 0.6658, 0.3854, and 0.4127 (as observed with three comparative methods) to 0.1531. Compared to the least accurate method, this method improved the overall shoreline accuracy by 0.5127 m. …”
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Optimization of Oil Yield from the Macro Algae Spirogyra by Solvent Extraction Process Using RSM and ANN by S. Aravind, Debabrata Barik, Nagaraj Ashok

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Results of specialized outpatient follow-up of patients with embolic stroke of undetermined source by P. I. Merkureva, J. D. Bogatenkova, I. A. Voznyuk, V. A. Sorokoumov, E. A. Popov

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Revolutionizing educational decision-making: a robust machine learning mechanism for predicting student performance by Muhammad Nadeem Gul, Waseem Abbasi, Muhammad Yaqoob Wani

“…A supervised machine learning approach, specifically the random forest algorithm, was employed to build the prediction model. …”
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Analysis of the Effectiveness of Traditional and Ensemble Machine Learning Models for Mushroom Classification by Neny Sulistianingsih, Galih Hendro Martono

“… The classification of edible versus poisonous mushrooms presents a critical challenge in the domains of applied biology and public health, particularly due to the serious implications of misidentification. This research employs the UCI Mushroom Dataset to evaluate and compare the effectiveness of several machine learning models, including traditional algorithms like Logistic Regression, Decision Tree, Random Forest, Support Vector Machine, K-Nearest Neighbors and Naïve Bayes, as well as advanced ensemble techniques such as Stacking and Voting Classifier. …”
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A Faster Fixed-Time Fault Tolerant Sliding Mode Control for Robot Manipulators With Mismatched Disturbances by Wendong Li, Zhuokun Zhang, Ping Wang, Haicheng Wan

“…Mismatched disturbances and actuator failures are primary challenges in the field of robotic manipulators. This research proposes a faster disturbance observer-based fixed-time sliding manifold with accelerated convergence rate developing a comprehensive strategy capable of addressing both of these limitations, which have garnered little attention from researchers so far. …”
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Unsupervised fake news detection on social media using hybrid Gaussian Mixture Model. by Sajida Perveen, Muhammad Shahbaz, Sami S Albouq, Khlood Shinan, Hanan E Alhazmi, Fatmah Alanazi, M Usman Ashraf, Rehan Ashraf

“…While there have been a few attempts to develop unsupervised methods for fake news detection, their reported accuracy results thereof remain unsatisfactory. This research proposes an unsupervised approach using clustering algorithms, including Gaussian Mixture Model (GMM), K-means, and K-medoids, to eliminate the need for manual labeling in detecting fake news. …”
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Real-Time Energy-Efficient Control Strategy for Distributed Drive Electric Tractor Based on Operational Speed Prediction by Xiaoting Deng, Zheng Wang, Zhixiong Lu, Kai Zhang, Xiaoxu Sun, Xuekai Huang

“…Through plowing operation simulation with comparative analysis against a conventional equal torque distribution strategy, the results indicate that the proposed real-time energy-efficient control strategy exhibits superior performance across all evaluation metrics, providing valuable technical guidance for future research on energy-efficient control strategies in agricultural electric vehicles.…”
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Аssessment of the Effectiveness of Etiotropic Prophylaxis of Tick-Borne Infections: the Systematization of concepts and methodological features by N. A. Penyevskaya, N. V. Rudakov

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Attitude control of catamaran based on deep reinforcement learning by Leihong QIN, Songtao ZHANG, Xiaofeng NAN, Qiming ZHONG

“…MethodsBy designing reward functions and neural network structures and adjusting relevant hyper-parameters, in combination with the catamaran model, through experiments, the control effect of the deep reinforcement learning DDPG algorithm and the GA-LQR algorithm under three different control modes and the robustness under different operating conditions and initial states were compared. …”
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THE USE OF FORECASTING METHODS FOR DETERMINING THE MAIN TRENDS IN THE DEVELOPMENT OF PROFESSIONAL TRAINING SYSTEMS FOR SECOND LANGUAGE TEACHERS OF ROMANIA AND UKRAINE by Korolova Larysa

“…The article claims that thanks to the use of a comparative analysis, a systematic approach, the methodology of scenario forecasting and conducting an expert assessment during the research, three ways of developing the trends of higher education in Romania and Ukraine in the field of professional training of foreign language teachers were determined and they were formed in three scenarios: optimistic, neutral and pessimistic. …”
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An Improved Multi-Imputation Technique Based on Chained Equations and Decision Trees: Application to Wind Energy Conversion Systems by JAFFEL, I., GUERFEL, M., MESSAOUD, H.

“…The performance of the MICE-DT algorithm, along with the comparative analysis of the studied techniques, was demonstrated on a Wind Energy Conversion System (WEC), yielding satisfactory results.…”
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Cluster analysis of the results of intraoperative optical spectroscopic diagnostics In brain glioma neurosurgery by I. A. Osmakov, T. A. Savelieva, V. B. Loschenov, S. A. Goryajnov, A. A. Potapov

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Microseismic Data-Driven Short-Term Rockburst Evaluation in Underground Engineering with Strategic Data Augmentation and Extremely Randomized Forest by Shouye Cheng, Xin Yin, Feng Gao, Yucong Pan

“…Finally, the advantages of the proposed approach are further validated through an extended comparative analysis. The insights derived from this research provide a reference for microseismic data-based short-term rockburst prediction when faced with class imbalance and multicollinearity.…”
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Spectral analysis of gas dynamic processes in the inlet system of a piston engine with turbocharger by L. V. Plotnikov, Y. M. Brodov, B. P. Zhilkin, D. S. Shestakov, L. E. Osipov

“…Spectral analysis of functions of flow velocity and pressure versus time was carried out on the basis of the fast Fourier transform algorithm.RESULTS. The article presents a comparative analysis of the spectra of the amplitudes of the velocity and pressure pulsations in the intake system of an engine with and without turbocharging. …”
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Iterative Learning Observer-Based High-Precision Motion Control for Repetitive Motion Tasks of Linear Motor-Driven Systems by Zhitai Liu, Xinghu Yu, Weiyang Lin, Juan J. Rodriguez-Andina

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Demographic forecast modelling using SSA-XGBoost for smart population management based on multi-sources data. by Jin Wang, Shihan Ma, Qing Lv, Qiang Li

“…The combination model is verified based on the data of the 6th and 7th national population census and mobile phone signal data in Hebei Province, obtained the predicted data for mortality and migration, categorized by age and gender, for the following year. Subsequently, the research compared the performance of different metaheuristic algorithms and various gradient-boosting machine-learning models on the dataset. …”
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Converging efficiency: Computational and fractal insights into parallel non-linear schemes by Mudassir Shams, Nasreen Kausar, Ali Akgül, Tonguç Çağın

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Stable matching-enhanced MOEA/D for solving multi-objective optimal power flow problems by Ebrahim Akbari, Amin Khodabakhshian, Abolfazl Rahimnejad, Stephen Andrew Gadsden

“…The results highlight the effectiveness of the method in addressing OPF problems with conflicting objectives such as cost minimization, loss reduction, and voltage stability enhancement. This research provides a new perspective on applying stable matching mechanisms into evolutionary algorithms for power system optimization.…”
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Decoding Cultural-Code Meaning of Allusion in Translations (Xi Jinping’s Speech at Davos Forum 2021) by T. N. Zubakina, E. D. Sapko

“…The results of the analysis of the rhetoric of Xi Jinping’s public speech are presented. The novelty of the research lies in an attempt of a comparative interpretation of allusive linguistic representations of the text of the speech and its translations into English and Russian. …”
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