Mission Re-Planning of Reusable Launch Vehicles Under Throttling Fault in the Recovery Flight Based on Controllable Set Analysis and a Deep Neural Network by Keshu Li, Wanqing Zhang, Han Yuan, Jing Zhou, Ying Ma

“…Simulations verify the accuracy of the CS computation algorithm and the effectiveness of the re-planning scheme under different fault conditions. …”
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Fault Diagnosis of Induction Motors Using Recurrence Quantification Analysis and LSTM with Weighted BN by Dengyu Xiao, Yixiang Huang, Chengjin Qin, Haotian Shi, Yanming Li

“…In addition, weighted batch normalization (BN), a modification of BN, is designed to evaluate the contributions of the three feature learning approaches. …”
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StaEn-IDS: An Explainable Stacking Ensemble Deep Neural Network-Based Intrusion Detection System for IoT by Monika Vishwakarma, Nishtha Kesswani

“…With millions of connected devices from different manufacturers using various protocols and IoT applications, ensuring IoT security is challenging. …”
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Building a personality assessment tool based on existing personality questionnaires: Based on big data by maryam mohtashami, Mohammad Hossein Zarghami, Beheshte Nyusha

“…Conclusion: In line with previous researches, two dominant dimensions were evaluated for personality questions and an algorithm of personality questions was obtained that can be used for premarital, clinical, career counseling, education and humanities research institutes. …”
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Effect of DEM Used for Terrain Correction on Forest Windthrow Detection Using COSMO SkyMed Data by Michele Dalponte, Daniele Marinelli, Yady Tatiana Solano-Correa

“…The terrain correction was done using a radiometric and geometric terrain correction algorithm. Specifically, we evaluated five different DEMs: (i–ii) a digital terrain model and a digital surface model derived from airborne LiDAR flights; (iii) the ALOS Global Digital Surface Model; (iv) the Copernicus global DEM; and (v) the Shuttle Radar Topography Mission (SRTM) DEM. …”
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Experience of implementing a value-based approach in oncodermatology by Yu. A. Zuenkova, D. I. Kicha, L. N. Izyurov

“…The use of a patient-oriented algorithm of communication has a positive effect on a patient's experience.Conclusion. …”
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Identifying the important involvement of cuproptosis in the pathophysiology of age-related macular degeneration by Shizhen Lei, Yani Liu

“…For bulk tissue transcriptomic analysis, the enrichment scores of PCD forms in AMD samples were calculated using the single-sample gene set enrichment analysis (ssGSEA) algorithm. Single-cell transcriptomic analysis was conducted to examine the expression of PCD-related genes across different cell types. …”
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SegMatch: semi-supervised surgical instrument segmentation by Meng Wei, Charlie Budd, Luis C. Garcia-Peraza-Herrera, Reuben Dorent, Miaojing Shi, Tom Vercauteren

“…For binary segmentation tasks, our algorithm was evaluated on the MICCAI Instrument Segmentation Challenge datasets, Robust-MIS 2019 and EndoVis 2017. …”
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Normalised Diagnostic Contribution Index (NDCI) Integration to Multi Objective Sensor Optimisation Framework (MOSOF)—An Environmental Control System Case by Burak Suslu, Fakhre Ali, Ian K. Jennions

“…Building on previous work, the proposed approach leverages a multi-objective genetic algorithm to optimise key criteria, including performance, cost, reliability management, and compatibility. …”
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Exploring the Relationship between Spatiotemporal Distribution of Urban Vibrancy and Neighborhood Attributes by Coupling Multi-Source Data: A Case of Nanshan District in Shenzhen by Liu Feng, Tang Zhong, Zhang Liang, Yu Lingmin, Liu Ke

“…Systematically incorporating a multidimensional set of neighborhood factors, including human vision, functionality, morphology, location, and street configuration, and utilizing spatial regression models in resonance with advanced algorithms facilitates a more profound comprehension of the spatiotemporal differentiation of urban vibrancy within urban spaces and the driving or inhibiting factors involved. …”
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Comprehensive analysis of single-cell and bulk RNA sequencing data unveils antigen-presenting and processing fibroblasts and establishes a predictive model in gastric cancer by Chenggang Zhang, Fangqi Chen, Jie Li, Yixuan He, Juan Sun, Zicheng Zheng, Guanmo Liu, Yihua Wang, Weiming Kang, Xin Ye

“…CellChat algorithm was utilized to evaluate interactions between cells. …”
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Machine Learning-Driven Transcriptome Analysis of Keratoconus for Predictive Biomarker Identification by Shao-Hsuan Chang, Lung-Kun Yeh, Kuo-Hsuan Hung, Yen-Jung Chiu, Chia-Hsun Hsieh, Chung-Pei Ma

“…Machine learning algorithms were then used to analyze the gene sets, with SHapley Additive exPlanations (SHAP) applied to assess the contribution of key feature genes in the model’s predictions. …”
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An In-Depth Tutorial on BJTU-RAO Bogie Datasets for Fault Diagnosis by Yong Qin, Yiran Wang, Zhaojun Steven Li, Biao Wang, Ao Ding, Chengcheng Wang, Yuanjing Qin, Yang Wang

“…Train fault diagnosis, predictive maintenance, and algorithms evaluation become crucial to ensure operational safety. …”
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An artificial intelligence approach to palaeogeographic studies: a case study of the Late Ordovician brachiopods of Laurentia by Akbar Sohrabi

“…Did morphological changes occur similarly in different regions with different palaeoenvironments on the Laurentian plate? …”
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Systematic pan-cancer analysis identified NCOA4 as an immunological and prognostic biomarker and validated in lung adenocarcinoma by An Wang, Yun-ye Mao, Tao Li, Xin Zhou, Yi-bing Bai, Jia-pei Qin, Yi Dong, Ting Wang, Tong Zhang, Zhi-qiang Ma, Yi Hu

“…Immune infiltration was evaluated using the ESTIMATE, TIMER, and xCELL algorithms. …”
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AI-Based Performance Classification of Multi-Level System-of-Systems via Hypergraph Modeling by Jun Jiang, Abdeslem Smahi, Yiwen Chen, Othman Lakhal, Rochdi Merzouki

“…To this end, this paper proposes an evaluation framework to assess the performance of SoS, so as to classify them. …”
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Applications of AI-Based Models for Online Fraud Detection and Analysis by Antonis Papasavva, Samantha Lundrigan, Ed Lowther, Shane Johnson, Enrico Mariconti, Anna Markovska, Nilufer Tuptuk

“…Results We discuss the state-of-the-art AI and NLP techniques used to analyse various online fraud categories; the data sources used for training the AI and NLP models; the AI and NLP algorithms and models built; and the performance metrics employed for model evaluation. …”
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Effects of Human Connection through Social Drones and Perceived Safety by Hwayeon Kong, Frank Biocca, Taeyang Lee, Kihyuk Park, Jeonghoon Rhee

“…This study investigates whether people perceive social drones differently depending on pilot type and perceived safety. …”
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Detection and prevalence of avian influenza epidemic in the southwest of Poyang Lake and analysis of the influence of meteorological factors by Kang Fang, Xiansheng Ni, Xi Wang, Wentao Song, Zhiqiang Deng, Zeyu Zhao, Wei Hua, Zhizhong Zeng, Wei Wang, Qianqian Si, Jiang Wu, Bo Zhang, Ping Zhang, Hui Li, Tianmu Chen

“…Authorities should consider climatic conditions and the level of contaminants in the prevention and control of avian influenza and adopt different preventive and control measures according to the characteristics of the different subtypes. …”
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Active Learning for Medical Article Classification with Bag of Words and Bag of Concepts Embeddings by Radosław Pytlak, Paweł Cichosz, Bartłomiej Fajdek, Bogdan Jastrzębski

“…The evaluation uses the support vector machine, naive Bayes, and random forest algorithms and is performed on datasets from 15 systematic medical literature review studies. …”
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