Autonomous Detection of Mineral Phases in a Rock Sample Using a Space-prototype LIMS Instrument and Unsupervised Machine Learning by Salome Gruchola, Peter Keresztes Schmidt, Marek Tulej, Andreas Riedo, Klaus Mezger, Peter Wurz

“…Both densMAP and UMAP yield comparable outcomes, successfully isolating the major mineral phases fluorapatite, calcite, and forsterite in the studied rock sample. …”
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Blockchain-Enabled Deep Recurrent Neural Network Model for Clickbait Detection by Abdul Razaque, Bandar Alotaibi, Munif Alotaibi, Fathi Amsaad, Ansagan Manasov, Salim Hariri, Banu B. Yergaliyeva, Aziz Alotaibi

“…To achieve the clickbait analysis and source rating, the detection of blocklisted/allowlisted source and source rating check algorithms are introduced. The clickbait search process is accomplished by incorporating the binary search features for a faster and more efficient search process for malicious content-detection. …”
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The possibilities of predicting the individual risk of cervical cancer in women of reproductive age using mathematical modeling by L. A. Klyukina, E. A. Sosnova, A. A. Ishchenko, M. M. Davydov

“…This, in turn, determines the need for a thorough search, study and analysis of possible cofactors that can lead to neoplastic changes in the cervix.Aim. …”
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An enhanced alpha evolution moss growth optimizer for prognostic prediction in spontaneous intracerebral hemorrhage by Lingxian Hou, Yongsheng Wang, Xiuqi Lin, Chengye Li, Huangrong Guo, Congcong Jin, Yi Chen, Huiling Chen, Jing Ji, Wenzong Zhu

“…Additionally, it uses an adaptive β parameter to dynamically balance the search process. AEMGO is designed to overcome common issues in traditional meta-heuristic algorithms, such as premature convergence and the exploration–exploitation imbalance, thus enabling the effective identification of key prognostic features. …”
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Intraoperative hypotension prediction in cardiac and noncardiac procedures: is HPI truly worthwhile? A systematic review and meta-analysis by Erfan Shirmohamadi, Reza Hosseini Dolama, Narjes Mohammadzadeh, Navid Ebrahimi, Negar Ghasemloo

“…Studies were included if they utilized machine learning algorithms, including HPI, to predict or detect IOH in adult surgical patients. …”
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Analytical screening of polymorphic variants of 20S proteasome genes when planning a study of pathogenetic effects of modification of NFKB1 post-translational processing by A. V. Meyer, M. V. Ulyanova, D. O. Imekina, A. D. Padyukova, T. A. Tolochko, E. A. Astafieva, M. B. Lavryashina

“…Discussion of the algorithm and results of analytical screening of polymorphic variants of 14 genes (PSMA1-PSMA7, PSMB1–PSMB7) encoding proteasome subunits 20S. …”
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Computational methods and artificial intelligence-based modeling of magnesium alloys: a systematic review of machine learning, deep learning, and data-driven design and optimizatio... by Hanxuan Wang, Raman Kumar, Raman Kumar, Ashutosh Pattanaik, Rajender Kumar, Rajender Kumar, Ali Saeed Owayez Khawaf Aljaberi, Mayada Ahmed Abass

“…A multi-database validation approach using Scopus and Web of Science ensured methodological robustness when searching for AI, ML, and DL in Mg alloys. A comparative analysis of author keywords, index keywords, sources, authors, and countries confirmed strong thematic consistency between databases, thereby enhancing the credibility of the cluster-based bibliometric analysis. …”
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Study on the Workspace and Structural Parameter of 3-RPS Parallel Robot by Pu Zhixin, Li Yanmei, Yu Yinghua

“…The three-dimensional model is built based on the structure characters of 3-RPS parallel robot through using Pro/E software.The inverse kinematics of the mechanism is obtained by using a new numerical algorithm,and the limit searching method is used to simulate the workspace through using MATLAB software.The simulation results are compared with the Euler angle algorithm.The influence of mechanism parameters on the workspace is analyzed,and the maximum volume of workspace in the parameter range is derived.A foundation for parallel robot parameter optimization and path planning is Laid.…”
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Advancements in Multi-Objective Optimization for Planning and Management of Multi-Energy Systems by Marco Tangi, Alessandro Amaranto

“…The work presented herein aims to develop modelling frameworks to explore of configurations of Multi-energy systems according to non-comparable objectives and extract trade-off solutions through optimization algorithms. …”
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A Dense Point-to-Point Alignment Method for Realistic 3D Face Morphing and Animation by Yongli Hu, Mingquan Zhou, Zhongke Wu

“…Because TPS is a non-rigid transformation with good smooth property, it is suitable for formulating the complex variety of human facial morphology. A closest point searching algorithm is proposed to keep one-to-one mapping, and to get good efficiency the point matching method is accelerated by a KD-tree method. …”
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Primary and secondary myelofibrosis: ophthalmological manifestations at onset and during therapy by O. Yu. Vinogradova, L. B. Egoryan, D. I. Shikhbabaeva, A. L. Neverova, M. M. Pankrashkina, L. K. Moshetova

“…Conclusion. The conducted search for ophthalmological manifestations on a large cohort of MF patients at the onset and during therapy is largely innovative and requires further research, and also confirms the need to include a consultation with an ophthalmologist in the examination algorithm for MF patients.…”
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Out of randomness: How evolution benefits from modularity by Chunxiuzi Liu, Shaohua Tang, Jingxi Liu, Jiashuo Ye, Lanxin Ma, Bingning Liu, Lu Peng, Jiaxin Dong, Linjie Que, Binbin Hong, Yu Liu

“…Compared to random search, GAs significantly improve the probability of finding solutions, especially complex ones. …”
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An Effective ABC-SVM Approach for Surface Roughness Prediction in Manufacturing Processes by Juan Lu, Xiaoping Liao, Steven Li, Haibin Ouyang, Kai Chen, Bing Huang

“…Further, to evaluate the optimization performance of ABC in parameters determination of SVM, this study compares the prediction performance of SVM models optimized by well-known evolutionary and swarm-based algorithms (differential evolution (DE), genetic algorithm (GA), particle swarm optimization (PSO), and ABC) and analyzes ability of these optimization algorithms from their optimization mechanism and convergence speed based on experimental datasets of turning and milling. …”
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Instagram's impact on dental consumers: analyzing toothpaste hashtags by Khalifa S. Al-Khalifa, Rasha AlSheikh, Basmah O. Alakloby, Hind M. Alharbi, Razan F. Alghamdi, Saqib Ali, Laila Al Dehailan

“…Method: data were acquired for the “Top 12 posts” for each selected hashtag listed by the Instagram search algorithm. The contents of each post, including the number of likes, number of followers, content type, poster role, post content, post theme, post type, and account type were collected. …”
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A Framework for Autonomous UAV Navigation Based on Monocular Depth Estimation by Jonas Gaigalas, Linas Perkauskas, Henrikas Gricius, Tomas Kanapickas, Andrius Kriščiūnas

“…UAVs are vastly used in practical applications such as reconnaissance and search and rescue or other missions which typically require experienced operators. …”
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Deep neural networks excel in COVID-19 disease severity prediction—a meta-regression analysis by Márton Rakovics, Fanni Adél Meznerics, Péter Fehérvári, Tamás Kói, Dezső Csupor, András Bánvölgyi, Gabriella Anna Rapszky, Marie Anne Engh, Péter Hegyi, Andrea Harnos

“…We identified both the relevant confounding factors of tool performance using the MetaForest algorithm and the best tools—comparing linear, machine learning, and deep learning methods—with mixed-effects meta-regression models. …”
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Efficient Resource Allocation and UAV Deployment in STAR-RIS and UAV-Relay Assisted Public Safety Networks for Video Transmission by Naveed Khan, Ayaz Ahmad, Abdulmalik Alwarafy, Munam Ali Shah, Abderrahmane Lakas, Muhammad Moazam Azeem

“…Reliable and flexible emergency communication presents significant challenges for search and rescue operations during disasters, particularly when base stations become non-functional. …”
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A network-based approach to discover diagnostic metabolite markers associated with depressive features for major depressive disorder by Yuzhen Zheng, Duan Zeng, Ying Tian, Siyuan Li, Shen He, Huafang Li, Huafang Li, Huafang Li

“…The findings provide new insights into the biological diagnosis of MDD.Clinical Trial Registrationhttps://clinicaltrials.gov/search?cond=NCT04518592.…”
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Impact of obesity on echocardiographic parameters and N-terminal pro-brain natriuretic peptide levels in patients with heart failure with mid-range ejection fraction: unanswered qu... by E. A. Lyasnikova, A. A. Kuular, A. V. Pavlovskaya, A. N. Vlasenko, A. V. Kozlenok, A. Yu. Babenko, M. Yu. Sitnikova, E. V. Shlyakhto

“…Aim. To analyze and compare the clinical, echocardiographic characteristics and serum N-terminal pro-brain natriuretic peptide (NT-proBNP) levels depending on the central cardiometabolic risk factors, with a focus on obesity, in patients with heart failure (HF) with mid-range ejection fraction (HFmrEF).Material and methods. …”
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A comprehensive overview of acupuncture therapy over the past 20 years: Machine learning-based bibliometric analysis by Chen Liu, Shuqing Liu, Yu Wang, Xinyi Xia, Yu Zhang, Huili Jiang, Tuya Bao, Xuehong Ma

“…A topic network was constructed by latent Dirichlet allocation (LDA) and the Louvain algorithm. Results: A total of 17,584 publications were finally recruited in this article. …”
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