An improved synergistic dual-layer feature selection algorithm with two type classifier for efficient intrusion detection in IoT environment by G Logeswari, K Thangaramya, M Selvi, J. Deepika Roselind

“…The proposed IDS encompasses three critical subsystems: data pre-processing, feature selection and detection. The data pre-processing subsystem ensures high-quality data by addressing missing values, removing duplicates, applying one-hot encoding, and normalizing features using min-max scaling. …”
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Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

“…Some areas of applications of ML algorithms include cluster analysis, pattern recognition, image processing, natural language processing, and medical diagnostics. …”
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A comprehensive review of machine learning applications in forecasting solar PV and wind turbine power output by Ian B. Benitez, Jai Govind Singh

“…Moreover, ensemble models, support vector machines, Gaussian processes, hybrid artificial neural networks, and decomposition-based hybrid models exhibit promising forecasting accuracy and reliability. …”
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ATM: Adaptive transformer model for reconstruction of remote sensing multi-temporal non-equispaced sequence imagery by Zhi-peng Qi, Zi-yi Zhao, Xing Jin

“…Firstly, the input data is encoded as a sequence of vectors, each representing a local feature of the data. …”
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Prediction of high-risk pregnancy based on machine learning algorithms by Xinyu Pi, Junzhi Wang, Liangliang Chu, Guochun Zhang, Wenli Zhang

“…With the computational support of an NVIDIA GPU RTX3050Ti, the model demonstrated excellent data processing capabilities, capable of predicting and processing 500 sets of data items per second. …”
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The Fast Discrete Tchebichef Transform Algorithms for Short-Length Input Sequences by Aleksandr Cariow, Marina Polyakova

“…At present, DTT is widely applied in signal processing, image compression, and video coding. The review of the articles related to fast DTT algorithms has shown that such algorithms are mainly developed for input signal lengths 4 and 8. …”
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EEG reveals brain network alterations in chronic aphasia during natural speech listening by Ramtin Mehraram, Jill Kries, Pieter De Clercq, Maaike Vandermosten, Tom Francart

“…Abstract Aphasia is a common consequence of a stroke which affects language processing. In search of an objective biomarker for aphasia, we used EEG to investigate how functional network patterns in the cortex are affected in persons with post-stroke chronic aphasia (PWA) compared to healthy controls (HC) while they are listening to a story. …”
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Indonesian Voice Cloning Text-to-Speech System With Vall-E-Based Model and Speech Enhancement by Hizkia Raditya Pratama Roosadi, Rizki Rivai Ginanjar, Dessi Puji Lestari

“…The dataset, comprising audio-transcript pairs, was sourced from previous Indonesian speech processing research. Data preparation involved converting audio into codec tokens and transcripts into phoneme tokens. …”
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Ways to increase the competitiveness of an enterprise in human capital management by V. V. Kruglikova, O. A. Kulabnieva

“…It is noted that in Ukrainian enterprises there are active processes of human capital transformation, which are associated with the external and internal environment digitalization. …”
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Methodology for Estimating the Cost of Construction Equipment Based on the Analysis of Important Characteristics Using Machine Learning Methods by Nataliya Boyko, Oleksii Lukash

“…This paper describes in detail the preliminary data processing. The main stages of preprocessing are presented in detail: detection and processing of missing data, removing anomalous data, coding of categorical data, and scaling. …”
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Machine learning reveals distinct gene expression signatures across tissue states in stony coral tissue loss disease by Kelsey M. Beavers, Daniela Gutierrez-Andrade, Emily W. Van Buren, Madison A. Emery, Marilyn E. Brandt, Amy Apprill, Laura D. Mydlarz

“…This approach identifies genes with high classification accuracy and reveals processes associated with SCTLD resistance, such as immune regulation and lipid biosynthesis, as well as processes involved in disease progression, such as inflammation, cytoskeletal disruption and symbiosis breakdown. …”
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Retracted: Image Target Detection Algorithm of Smart City Management Cases by Ping Tan, Kedun Mao, Sheng Zhou

“…The change in the value m of the main vector dimension will affect the accuracy of target detection.…”
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Data efficient prediction of excited-state properties using quantum neural networks by Manuel Hagelueken, Marco F Huber, Marco Roth

“…We show that, in many cases, the procedure is able to outperform various classical models (support vector machines, Gaussian processes, and NNs) that rely solely on classical features, by up to two orders of magnitude in the test mean squared error.…”
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A Two-Branch ResNet-BiLSTM Deep Learning Framework for Extracting Multimodal Features Applied to PPG-Based Cuffless Blood Pressure Estimation by Zenan Liu, Minghong Qiao, Yezi Liu, Jing Zhang, Ling He

“…To address this problem, we propose a novel two-branch deep learning framework combining Residual Networks (ResNet) and Bidirectional Long Short-Term Memory (BiLSTM) for photoplethysmography (PPG)-based cuffless blood pressure estimation. The ResNet branch processes 60 features selected by Support Vector Machine-Recursive Feature Elimination (SVM-RFE) from manually extracted features, including our newly proposed trend features, while the BiLSTM branch processes complete PPG waveforms. …”
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Research on computer multi feature fusion SVM model based on remote sensing image recognition and low energy system by Yangming Wu, Hao Wu, Xin Tang, Jianwei Lv, Rufei Zhang

“…However, traditional image recognition methods often face the problems of high consumption of computing resources and slow processing speed, especially in low-energy systems. …”
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Ajuste espacial e urbanização desigual: involução industrial e metropolização terciária em Belém by Tiago Veloso dos Santos

“…In Brazilian Amazon, the integration process that were vectors of regional urbanization, caused a spatial fix was directly affected one of its major cities, Belém, in which the social production of urban space occurred due to disruption of the pre-existing regional-urban industrial sector. …”
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LH Gene Cloning, Sequence Feature Analysis and Prokaryotic Expression in Conger myriaster by Yan CHEN, Bao SHI, Chenggang WANG, Wanjun BO, Kewen YAN, Meijun TAO, Xinyu ZHAO, Xiaodong MA

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Machine learning for epithelial ovarian cancer platinum resistance recurrence identification using routine clinical data by Li-Rong Yang, Mei Yang, Liu-Lin Chen, Yong-Lin Shen, Yuan He, Zong-Ting Meng, Wan-Qi Wang, Feng Li, Zhi-Jin Liu, Lin-Hui Li, Yu-Feng Wang, Xin-Lei Luo

“…Following this screening process, five machine learning algorithms were employed to develop predictive models based on the selected variables. …”
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Intracellular HIV-1 Tat regulator induces epigenetic changes in the DNA methylation landscape by Andrea Rodríguez-Agustín, Andrea Rodríguez-Agustín, Rubén Ayala-Suárez, Francisco Díez-Fuertes, Francisco Díez-Fuertes, María José Maleno, Izar de Villasante, Angelika Merkel, Mayte Coiras, Mayte Coiras, Víctor Casanova, Víctor Casanova, José Alcamí, José Alcamí, José Alcamí, José Alcamí, Núria Climent, Núria Climent, Núria Climent

“…In contrast, Tat72 had a minimal impact on this epigenetic process. The observed differentially methylated and expressed genes were involved in inflammatory responses, lipid antigen presentation, and apoptosis.DiscussionTat expression in HIV infection may constitute a key epigenetic modelling actor that contributes to HIV pathogenesis and chronic inflammation. …”
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Bioinformatic identification of signature miRNAs associated with fetoplacental vascular dysfunction in gestational diabetes mellitus by Yulan Lu, Chunhong Liu, Xiaoxia Pang, Xinghong Chen, Chunfang Wang, Huatuo Huang

“…This study aims to identify signature miRNA genes involved in this process using bioinformatics analysis via multiple algorithms. …”
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