Identification of anoikis-related genes classification patterns and immune infiltration characterization in chronic rhinosinusitis with nasal polyps based on machine learning by Ziqi Chen, Lingmei Qu, Qing Hao, Shuang Teng, Shuo Liu, Qin Wu, Hongtian Yi, Xianji Shen, Liang Li, Zhaonan Xu, Yanan Sun

“…Functional annotation was performed based on Gene Ontology (GO) terms, and pathway enrichment analysis was conducted using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Regulatory networks were visualized using NetworkAnalyst and Cytoscape. …”
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Optimize building energy efficiency design and evaluation with machine learning by Chun Gu

“…With the increasing demand for energy efficiency optimization in the building industry, this study explores the application of machine learning technology in building energy efficiency design and evaluation. By comprehensively analyzing energy consumption data, environmental factors, building characteristics, and user behavior patterns, this paper proposes a machine learning-based approach aimed at accurately predicting and improving the energy efficiency of buildings. …”
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Analysis of the network structure characteristics and influencing factors of regional tourism economy. by Xiao-Bing Feng

“…This study selects Sichuan Province, China, as the research area and employs social network analysis to evaluate the spatial network structure of its tourism economy from 2015 to 2022. …”
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Skew Logistic Distribution Applied as Activation Function in Artificial Neural Networks by Eder Silva Dos Santos, Altemir da Silva Braga, Ana Beatriz Alvarez, Thuanne Paixao

“…In recent years, Artificial Neural Networks (ANNs) have stood out among machine learning algorithms in many applications, such as image and video pattern recognition. …”
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Detection and diagnosis of air compressor faults using weightless neural networks by Anubhab Bhattacharyya, Naveen Venkatesh Sridharan, Aravinth Sivakumar, Sugumaran Vaithiyanathan

“…This study presents an innovative method utilizing weightless neural networks (WNNs) to identify and address various types of faults in air compressor modules. …”
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Representation of Radiation Oncologists on National Comprehensive Cancer Network Guideline Committees by Bismarck C. Odei, MD, Temitope Agabalogun, MD, Erika Bello-Pardo, BS, Christina Huang, MD, MS, Daniel Vanderbilt, MD, PhD, Seyi Omeh, MD, MPH, Benjamin Sterling, Fumiko Chino, MD

“…Purpose: The National Comprehensive Cancer Network (NCCN) guideline committees (GCs) play a vital role in defining the standard of care for cancer management. …”
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Dense dynamic convolutional network for Bel canto vocal technique assessment by Zhenyi Hou, Xu Zhao, Shanggerile Jiang, Daijun Luo, Xinyu Sheng, Kaili Geng, Kejie Ye, Jiajing Xia, Yitao Zhang, Chenxi Ban, Jiaxing Chen, Yan Zou, Yuchao Feng, Xin Yuan, Guangyu Fan

“…Convolutional Neural Networks (CNNs), renowned for their robust ability to capture spatial hierarchical information, have been widely adopted in various tasks, including audio pattern recognition. …”
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Study on Large‐Scale Brain Network Abnormalities in Patients With Beta‐Thalassemia by Mingrui Yang, Guowei Chen, Peng Peng, Cheng Tang, Chaotian Luo, Fei Peng, Rong Kong, Chunxia Zhu, Jiatong Liang

“…This study systematically evaluates alterations in both intra‐brain network functional connectivity (FC) and inter‐network functional connectivity (FNC) in β‐TM patients using resting‐state functional magnetic resonance imaging (rs‐fMRI) and independent component analysis (ICA), aiming to uncover the potential mechanisms underlying their neurofunctional impairments. …”
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Economic Evaluation of System-Wide Implementation of Kidney Supportive Care by Lisa L. Brady, Annie Hutton, Jeremy R. Chapman, Gerard Duck, Tessa Gastrell, Angela Makris, Dennis McCarthy, Michael Noel, Liz Hay, Peter Choi

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Real-world treatment patterns and outcomes among patients initiating sequential regorafenib and trifluridine/tipiracil ± bevacizumab in patients with metastatic colorectal cancer i... by Tanios Bekaii-Saab, Ila Sruti, Junxin Shi, Wei Dai, Gregory Patton, Sreevalsa Appukkuttan, Brian Hocum, Arvind Katta, Svetlana Babajanyan, David Cosgrove

“…However, in the absence of recommendations regarding preferred treatment order, our study aimed to improve the understanding of real-world optimal treatment sequences.MethodsThis retrospective study assessed real-world outcomes and treatment patterns among mCRC patients who initiated sequential regorafenib and FTD/TPI ± bevacizumab between the first line and sixth line from September 2015 to November 2022 in The US Oncology Network. …”
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Application of wings interferential patterns (WIPs) and deep learning (DL) to classify some Culex. spp (Culicidae) of medical or veterinary importance by Arnaud Cannet, Camille Simon Chane, Aymeric Histace, Mohammad Akhoundi, Olivier Romain, Pierre Jacob, Darian Sereno, Marc Souchaud, Philippe Bousses, Denis Sereno

“…Abstract In this paper, we test the possibility of using Wing Interference Patterns (WIPs) and deep learning (DL) for the identification of Culex mosquitoes species to evaluate the extent to which a generic method could be developed for surveying Dipteran insects of major importance to human health. …”
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Resting state BOLD-perfusion coupling patterns using multiband multi-echo pseudo-continuous arterial spin label imaging by Alexander D. Cohen, Stefano Moia, G. Bruce Pike, César Caballero-Gaudes, Yang Wang

“…In this study a multiband, multi-echo (MBME) pseudo-continuous ASL (pCASL) sequence was used to collect simultaneous BOLD and ASL data in a group of healthy control subjects, and the patterns of BOLD-CBF coupling were evaluated. Coupling was also correlated with the BOLD RS measures. …”
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Evaluating impact of different factors on electric vehicle charging demand by Shakker Soheila, Esmi Nima, Shahbahrami Asadollah

“…Leveraging long short-term memory networks – effective in modeling time-series data – we evaluate the impact of contextual features on forecasting performance. …”
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Evaluating Lightweight Transformers With Local Explainability for Android Malware Detection by Fatima Bourebaa, Mohamed Benmohammed

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Hybrid ANFIS systems: Evaluation of bearing capacity of driven piles by Yan Peng, Haiquan Gao

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Evaluating the relationship between news source sharing and political beliefs by Sofía M. del Pozo, Sebastián Pinto, Matteo Serafino, Federico Moss, Tomás Cicchini, Hernán A. Makse, Pablo Balenzuela

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A Multi‐Scale Time Adaptive Fusion Network for Transformer Fault Diagnosis by XuMing Liu, XiaoKun He, YongLin Li

“…The adaptive high‐order hybrid network (AHOHN) module then fuses multi‐scale temporal data with transformer features using a hybrid attention mechanism, extracting temporal variation patterns. …”
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Comparative Analysis of Linear Regression and Neural Network Algorithms for Stock Price Prediction by Eldrianto Christian Wibowo, Ariya Dwika Cahyono

“…The experimental results show that the Linear Regression model consistently produces more accurate predictions with lower error values compared to the Neural Network. Although Neural Networks are more flexible in capturing non-linear patterns, Linear Regression demonstrates greater stability under market conditions present in the observed data period.…”
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A temporal approach to urban crime forecasting using recurrent neural networks by Juan Pablo Perez Leal, Andrés Sebastián Ríos, David Romo-Bucheli

“… This study investigates the use of Recurrent Neural Networks (RNNs) and Long ShortTerm Memory (LSTM) networks to predict crime patterns in Bucaramanga, Colombia. …”
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Predictive Modeling of Urban Travel Demand Using Neural Networks and Regression Analysis by Muhammed Ali Çolak, Osman Ünsal Bayrak

“…Additionally, a macro-level simulation was conducted using VISUM (Release 18.2.22) software to evaluate the current transportation network and assess the potential impacts of proposed improvement scenarios. …”
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