Intelligent Malfunction Identification Method in Mechanical Manufacturing Process Based on Multisensor Data by Meng Wang

“…Based on the optimized BP, a mechanical malfunction judgment model is constructed, and various parameters in the model are calculated. …”
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Analysis of the electromagnetic processes in converter with converter with eleven zone voltage regulation by В. Михайленко, Є. Троценко, Ю. Чуняк

“… The article focuses on electromagnetic processes in the electric circuits with semiconductor switches. The mathematical model of the converter with eleven zone regulation of output voltage has been developed to analyse electromagnetic processes in semiconductor converters with pulse-width regulation. …”
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Analysis of the converter with fourteenzone voltage regulation by V. Mykhailenko, V. Svyatnenko, S. Tsyvinskiy, V. Voytyuk

“… The article focuses on electromagnetic processes in the electric circuits with semiconductor switches. The mathematical model of the converter with fourteenzone regulation of output voltage has been developed to analyse electromagnetic processes in semiconductor converters with pulse-width regulation. …”
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Study of the electromagnetic processes in converter with twenty four zoned regulations of the voltage by В. Михайленко, Ю. Чуняк, М. Прудніков

“… The article focuses on electromagnetic processes in the electric circuits with semiconductor switches. The mathematical model of the converter with fourteenzone regulation of output voltage has been developed to analyse electromagnetic processes in semiconductor converters with pulse-width regulation. …”
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Anti-Diabetic Therapeutic Medicinal Plant Identification Using Deep Fused Discriminant Subspace Ensemble (D2SE) by N. Sasikaladevi, S. Pradeepa, A. Revathi, S. Vimal, Gaurav Dhiman

“…The developed model attained the highest accuracy of 97.5% which is better compared to other state of art algorithms. …”
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PathNetDRP: a novel biomarker discovery framework using pathway and protein–protein interaction networks for immune checkpoint inhibitor response prediction by Dohee Lee, Jaegyoon Ahn, Jonghwan Choi

“…Results We introduce PathNetDRP, a novel biomarker discovery approach that applies the PageRank algorithm to prioritize ICI-associated genes, maps them to relevant biological pathways, and calculates PathNetGene scores to quantify their contribution to immune response. …”
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Robust Framework for PMU Placement and Voltage Estimation of Power Distribution Network by Nida Khanam, Mohd. Rihan, Salman Hameed

“…Future research will look into real-time adaptive state estimation utilizing machine learning-based predictive modelling, as well as expanding the framework to account for communication constraints and dynamic grid topology changes to improve its practical usefulness.…”
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Identification system for detecting and suppressing unmanned aerial vehicles based on video interception for use in combat conditions by A. A. Konik, R. E. Afonin, I. M. Klimov, D. S. Zinchenko

“…The use of such a system across a wide area subject to UAV attacks will significantly improve the effectiveness of alerting all categories of employees and civilians, as well as contributing to the establishment of airspace control and improving the effectiveness of the fight against UAVs.…”
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Differentiation characteristics and evolutionary mechanisms of agricultural regional functions in Loess Hilly and Gully Region by LONG Pei, WANG Yongsheng, LU Xue

“…[Conclusion] In the future, it is imperative to continue strengthening regional ecological protection, focus on introducing new-quality agricultural productivity, develop new agricultural business models, and continuously improve agricultural regional functions.…”
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A Bioinert Hydrogel Framework for Precision 3D Cell Cultures: Advancing Automated High‐Content and High‐Throughput Drug Screening by Hyunsu Jeon, Tiago Thomaz Migliati Zanon, James Carpenter, Aliciana Ilias, Yamil Colón, Yichun Wang

“…The unique hexagonal‐close‐packed geometry of iCC structure enables HCHTS through conventional plate reader analysis and fluorescent microscopy assisted by house‐developed automated data processing algorithm. This advancement offers promising applications in tissue engineering, disease modeling, and drug development in biomedical research.…”
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Self-Organizing TDMA: A Distributed Contention-Resolution MAC Protocol by Mahsa Derakhshani, Yahya Khan, Duc Tuong Nguyen, Saeedeh Parsaeefard, Atoosa Dalili Shoaei, Tho Le-Ngoc

“…The process of adjusting the transmission duration is modeled as a congestion control problem to develop an additive-increase-multiplicative-decrease (AIMD) algorithm, which monotonically converges to fairness. …”
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Efficient lightweight cryptographic solutions for enhancing data security in healthcare systems based on IoT by Abdul Muhammed Rasheed, Retnaswami Mathusoothana Satheesh Kumar

“…This study presents three efficient cryptographic methods: (1) a hybrid encryption algorithm that incorporates a Fibonacci sequence and a 6D hyper-chaotic system to improve confusion and diffusion; (2) hybrid lightweight encryption that utilizes logistic parity-based chaotic maps for secure data transformation; and (3) combined transformation and expansion (CTE)-based lightweight cryptography that employs dynamic chaotic systems for strong encryption. …”
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Crashworthiness and optimization for foam-filled multi-layer composite lattice structures by Jiye Chen, Wangwang He, Hai Fang, Yong Zhuang, Zhixiong Zhang, Yufeng Zhao

“…Foam materials have been widely used to fill composite lattice structures to improve energy absorption and mechanical properties. …”
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An in-depth exploration of supervised and semi-supervised learning on face recognition by Purnawansyah, Wibawa Aji Prasetya, Widiyaningtyas Triyanna, Haviluddin, Darwis Herdianti, Azis Huzain

“…Experimental outcomes reveal that the performance of models depends on the dataset partitioning strategies and the type of algorithms used. …”
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PolSAR Forest Height Estimation Enhancement With Polarimetric Rotation Domain Features and Multivariate Sensitivity Analysis by Fu-Gen Jiang, Ming-Dian Li, Si-Wei Chen

“…Then, we propose a Bayesian-optimized ensemble learning algorithm to improve the accuracy of forest height estimation. …”
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Rice Growth Parameter Estimation Based on Remote Satellite and Unmanned Aerial Vehicle Image Fusion by Jiaqi Duan, Hong Wang, Yuhang Yang, Mingwang Cheng, Dan Li

“…The vegetation indices and textural features most correlated with rice LAI and SPAD were selected using Pearson correlation analysis, and based on vegetation indices, textural features, and their combinations, regression models were established. The results indicate the following: (1) The fusion of satellite and UAV images, combined with spectral information and textural features, can significantly improve the estimation accuracy of LAI and SPAD compared to using only spectral information or textural features. (2) Sparrow search algorithm-optimized extreme gradient boosting (SSA-XGBoost) regression achieved the highest accuracy, with R² and RMSE of 0.904 and 0.183 in LAI estimation and 0.857 and 0.882 in SPAD estimation, respectively. …”
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Degree-Constrained k-Minimum Spanning Tree Problem by Pablo Adasme, Ali Dehghan Firoozabadi

“…Our numerical results indicate that the proposed models and algorithms allow obtaining optimal and near-optimal solutions, respectively. …”
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Dynamic contagion potential framework for optimizing infection control in healthcare by Alexandra Fedrigo, Mohamad Nassar, Jennifer Bail, Antonia Bates-Ford, Satyaki Roy

“…The findings underscore the potential of CP to improve both operational outcomes and patient well-being in healthcare environments.…”
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Utility of Domain Adaptation for Biomass Yield Forecasting by Jonathan M. Vance, Bryan Smith, Abhishek Cherukuru, Khaled Rasheed, Ali Missaoui, John A. Miller, Frederick Maier, Hamid Arabnia

“…The novel scale-invariant tabular synthesizer (SITS) is proposed, and it is competitive with or superior to other established synthesizers in producing data that trains strong models. This synthesis algorithm leads to R scores over 100% higher than an established synthesizer in this domain, while ML-based forecasters beat the ARIMA family with symmetric mean absolute percent error (sMAPE) scores as low as 12.81%. …”
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Machine learning analysis of molecular dynamics properties influencing drug solubility by Zeinab Sodaei, Saeid Ekrami, Seyed Majid Hashemianzadeh

“…The results indicate that seven properties, logP, Solvent Accessible Surface Area (SASA), Coulombic_t, LJ, Estimated Solvation Free energies (DGSolv), Root Mean Square Deviation (RMSD), and Average number of solvents in Solvation Shell (AvgShell) are highly effective in predicting solubility, exhibiting performance comparable to predictive models based on structural features. The Gradient Boosting algorithm achieved the best performance with a predictive R2 of 0.87 and an RMSE of 0.537 in test set. …”
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