Civil Aircraft Landing Attitude Ultra-Limit Warning System Based on mRMR-LSTM by Fei Lu, Tong Jing, Chunsheng Xie, Haonan Chen

“…Then, the Max-Relevance and Min-Redundancy algorithm was applied to screen the QAR (Quick Access Recorder) parameters with the highest correlation with the predictor variables, and the LSTM network model was established to predict the pitch and roll angles of the aircraft landing, respectively. …”
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Comparing two definitions of pediatric complexity among children cared for in general and pediatric emergency departments in a statewide sample by Sriram Ramgopal, Julia A. Heneghan

“…We classified patients as having medical complexity when using 2 definitions (≥1 pediatric Complex Chronic Condition [CCC] or complex chronic disease using the Pediatric Medical Complexity Algorithm [PMCA]) and compared their overlap and clinical outcomes. …”
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Accelerated preprocessing in task of searching substrings in a string by A. V. Mazurenko, N. V. Boldyrikhin

“…The paper lists eight algorithms. The developed algorithms are evaluated. …”
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Concrete Dam Deformation Prediction Model Based on Attention Mechanism and Deep Learning by ZHANG Hongrui, CAO Xin, JIANG Chao, ZU Anjun, XU Mingxiang

“…Temporal attention mechanism addresses the unequal importance of historical data by assigning weights to different time moments according to their relevance to current predictions. Subsequently, the BiLSTM network established temporal dependencies of deformation data from both forward and backward directions, effectively capturing long-term dependencies in dam deformation processes through its dual-directional temporal modeling capability. …”
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Évaluation comparative des algorithmes d'apprentissage automatique pour la classification des types de sols à partir de caractéristiques physico-chimiques : application de Random F... by Mamadou Ndiaye, René Boissy, Mbagnick Faye, N’kpomé Styvince Romaric Kouao

“…This study explores the application of machine learning algorithms for soil type classification, a crucial task for agriculture and sustainable land management, particularly in areas facing environmental challenges such as soil degradation. …”
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Improving reviewer selection in Open Journal Systems using a Scopus search application programming interface in the by Indra Kharisma Raharjana, Badrus Zaman, Oktavia Intifada Husna, Rizfi Ferdiansyah, Aretha Seno Putri, Fariska Dwi Kartika Sari

“…Methods We introduced a process innovation to analyze users within OJS and obtain recommendations for potential reviewers possessing the relevant expertise for the manuscript under review. …”
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Artificial Intelligence in Paediatric Urology: Transforming Diagnosis and Treatment by Wesam Khan

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Spread complexity for the planar limit of holography by Rathindra Nath Das, Saskia Demulder, Johanna Erdmenger, Christian Northe

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Evolutionary Reinforcement Learning: A Systematic Review and Future Directions by Yuanguo Lin, Fan Lin, Guorong Cai, Hong Chen, Linxin Zou, Yunxuan Liu, Pengcheng Wu

“…This systematic review aims to provide a comprehensive analysis of EvoRL, examining the symbiotic relationship between EAs and reinforcement learning algorithms and identifying critical gaps in relevant application tasks. …”
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An automated adaptive trading system for enhanced performance of emerging market portfolios by Cristiana Tudor, Robert Sova

“…Abstract One of the most notable developments in the asset management industry in recent decades has been the growth of algorithmic trading. At the same time, significant structural changes in the industry have occurred, with passive investing gaining momentum. …”
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Development and validation of a multiple myeloma diagnostic model based on systemic lupus erythematosus-associated genes and identification of specific genes by Yuepei Liu, Songshan Liu

“…To establish a diagnostic model for SLE-related MM, we compared 113 combinations of 12 machine learning algorithms, ultimately determining the optimal model. …”
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Remote Sensing for Urban Biodiversity: A Review and Meta-Analysis by Michele Finizio, Federica Pontieri, Chiara Bottaro, Mirko Di Febbraro, Michele Innangi, Giovanna Sona, Maria Laura Carranza

“…After screening the titles, abstracts, and keywords of 500 articles, 117 relevant papers were retained for meta-data analysis. …”
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consHLA: a next generation sequencing consensus-based HLA typing workflow by Rachel Bowen-James, Weilin Wu, Marie Wong-Erasmus, Julian M. W. Quinn, Chelsea Mayoh, Mark J. Cowley

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Organizational and Technical Support for Remote Work of Employees in the Conditions of Industrial Production Diversification by A. V. Konyakova, V. I. Timofeev, D. K. Shcheglov

“…For the most part, the translation algorithm and organizational and technical support of the virtual office creation process are typical (universal). …”
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Data-based flight optimization model for scheduling: noise management approach by Aivara Šitkauskaitė, Virginija Leonavičiūtė

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Mathematical modelling and virtual design of metamaterials for reducing noise and vibration in built-up structures by Emmanuel Akaligwo, Anselm O. Oyem, Olayiwola I. Babarinsa

“…Traditional materials often fail to address these issues effectively across all relevant frequencies, particularly in urban and industrial environments. …”
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A hybrid bio-inspired augmented with hyper-parameter deep learning model for brain tumor classification by Morolake Oladayo Lawrence

“…The CNN model is adjusted for different convolutional layers and fully connected layers to identify patterns and features in brain tumor pictures using an enhanced salp swarm algorithm (SSA) with kernel extreme learning machine (KELM). …”
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Milling Machine Fault Diagnosis Using Acoustic Emission and Hybrid Deep Learning with Feature Optimization by Muhammad Umar, Muhammad Farooq Siddique, Niamat Ullah, Jong-Myon Kim

“…A convolutional neural network (CNN) based on the VGG16 architecture is utilized for spatial feature extraction, followed by a bidirectional long short-term memory (BiLSTM) network to capture the temporal dependencies of the scalograms. The genetic algorithm (GA) is used to optimize feature selection and ensure the selection of the most relevant features to further improve the model’s performance. …”
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IGWO-MSVR model for predicting stress in coal seam during drilling process by Jian Tan, Yanfeng Geng, Liangke Xu

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Optimization of OPM-MEG Layouts with a Limited Number of Sensors by Urban Marhl, Rok Hren, Tilmann Sander, Vojko Jazbinšek

“…We applied a sequential selection algorithm (SSA), originally developed for body surface potential mapping in electrocardiography, which requires a large database of full-head MFMs. …”
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