Mifu-ER: Modality Quality Index-Based Incremental Fusion for Emotion Recognition by Sun-Hee Kim

“…Mifu-ER integrates three aspects: i) application of the sliding window method to ensure fast processing speed and a sufficient training dataset, ii) incremental fusion of physiological data by finding the MQI between modalities on the segmented dataset, and iii) emotion recognition by applying the fused multimodal dataset to the temporal convolution network (TCN) learning model. …”
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Modeling financial market dynamics with the use of fuzzy by K. A. Polekhina, G. Eu. Polekhina

“…Fuzzy mathematics is a   branch of   mathematics that studies methods and algorithms for dealing with fuzzy data and fuzzy objects. It   allows to   consider uncertainty and incompleteness of  information, which is  especially important in  the financial markets where data is   often incomplete and inaccurate. …”
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Aplikasi Penambahan Cacing Tanah (Lumbricus rubellus) pada Pakan Induk Lele Sangkuriang (Clarias sp.) <br><i>[Applications of Addition Earthworms (Lumbricus rubellus) on Feed o... by Abdul Manan, Anggit Puspitasari

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Micro-firms’ productivity growth in Poland before and during COVID-19: Do industry and region matter? by Emilia Gosińska, Mariusz Górajski, Magdalena Ulrichs

“…We employed firm-level data covering enterprises with below ten employees to evaluate micro-firms’ productivity performance in Polish regions and sectors in 2010-2020. …”
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Comparative Analysis of Airborne Bacterial and Fungal Communities in South-Eastern Italy and in Albania Using the Compositional Analysis of 16S and ITS rRNA Gene Sequencing Dataset... by Salvatore Romano, Lekë Pepkolaj, Mattia Fragola, Dalila Peccarrisi, Jostina Dhimitri, Alessandro Buccolieri, Adelfia Talà, Pietro Alifano, Gianluca Quarta, Lucio Calcagnile

“…This study investigates airborne bacterial and fungal communities in south-eastern Italy and Albania using advanced DNA-based techniques and compositional data analysis (CoDa). We assess the significance of airborne microbial communities, detailing our methodologies for site selection, sample collection, DNA extraction, and data analysis. …”
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Clustered Correlation Health Scan Anomaly Detection Algorithm Applied for Fault Diagnosis in the Cylinders of a Marine Dual-Fuel Engine by Hassan Dabaja, Ayah Youssef, Hassan Noura, Mustapha Ouladsine

“…The results align with ground-truth data from an available technical industrial maintenance report. …”
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Scientific Opinion on an application (EFSA‐GMO‐NL‐2005‐24) for the placing on the market of the herbicide tolerant genetically modified soybean 40‐3‐2 for cultivation under Regulat... by EFSA Panel on Genetically Modified Organisms (GMO)

“…The Panel agreed with the general surveillance plan of the applicant, but requested that the Panel's proposals to strengthen general surveillance are implemented. …”
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First-Principle Study on Tailoring the Martensitic Transformation of B2 Nb_50−xTi_xRu₅₀ Shape-Memory Alloy for Structural Applications by Duduzile Nkomo, Yu-Nien Shen, Roelf Mostert, Yoko Yamabe-Mitarai, Maje Phasha

“…These compositions have a potential to be considered when designing alloys for structural application at high temperatures above 200 °C.…”
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CMHSU: An R Statistical Software Package to Detect Mental Health Status, Substance Use Status, and Their Concurrent Status in the North American Healthcare Administrative Databases by Mohsen Soltanifar, Chel Hee Lee

“…Researchers have proposed various diagnostic methods, including the Data-Driven Diagnostic Method (DDDM), for the identification of MHSU. …”
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An Intelligent Track Segment Association Method Based on Characteristic-Aware Attention LSTM Network by Jiadi Qi, Xiaoke Lu, Jinping Sun

“…Accurate track segment association plays an important role in modern sensor data processing systems to ensure the temporal and spatial consistency of target information. …”
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Language and cognition in very low birth weight preterm infants with PELCDO application Linguagem e cognição em bebês pré-termo muito baixo peso por meio da aplicação do PODCLE... by Karina Elena Bernardis Bühler, Suelly Cecília Olivan Limongi, Edna Maria de Albuquerque Diniz

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Prediction of Margin of Gait Stability by Using Six-DoF Motion of Pelvis by Tomohito Kuroda, Shogo Okamoto, Yasuhiro Akiyama

“…Although MoS is a reliable indicator, its computation typically requires specialized equipment, such as motion capture systems, limiting its application to laboratory settings. To address this limitation, we propose a method for estimating MoS using time-series data from the translational and angular velocities of a single body segment—the pelvis. …”
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Dynamic Risk Assessment System for Power System Based on Multi-source Information of the Ubiquitous Power Internet of Things by Shenhua WANG, Xiangwei HE, Xiaofang FANG, Bingsong CHEN, Chuangxin GUO

“…Finally, based on the architecture, the corresponding software system is designed. The data source, data platform and main function modules of the system are also described. …”
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Qualidade do percolado de solos que receberam vinhaça em diferentes doses e tempo de incubação Quality of percolate from soils after application of different doses and incubation t... by Fabio L. Brito, Mario M. Rolim, Jose A. A. da Silva, Elvira M. R. Pedrosa

“…The results indicated that variations in the analyzed parameters, due to vinasse application in the soil, do not bring concerns in relation to environmental quality. …”
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LVRT Measurement Model and Transient Parameter Identification of Wind Turbine Based on Chaotic Particle Swarm by Dan LI, Shiyao QIN, Shaolin LI, Jing HE

“…In order to address the fault transient modeling problems of doubly-fed wind turbines, a measured data-based modeling and parameter identification method of doubly-fed wind turbines is proposed. …”
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Degradation Prediction of Proton Exchange Membrane Fuel Cell Based on Multi-Head Attention Neural Network and Transformer Model by Yikai Tang, Xing Huang, Yanju Li, Haoran Ma, Kai Zhang, Ke Song

“…Proton exchange membrane fuel cells are a clean energy technology with wide application in transportation and stationary energy systems. …”
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Decomposing the Sri Lanka Yield Curve Using Principal Component Analysis to Examine the Term Structure of the Interest Rate by K P N Sanjeewa Dayarathne, Uthayasanker Thayasivam

“…Our analysis encompasses data spanning from January 2010 to August 2022. The study applied several PCA variants such as multivariate PCA, Randomized PCA, Incremental PCA, Sparse PCA, Functional PCA, and Kernel PCA on smoothed data. …”
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Optimizing malicious website prediction: An advanced XGBoost-based machine learning model by Hussain Sumaira, Zada Islam, Alazab Moutaz, Alfraihi Hessa, Aldhayan Manal, Ullah Inam, Khan Mohammad Asmat Ullah

“…Our methodology includes data collection, data cleaning, and the application of the XGBoost classifier. …”
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Defining chronic pain impact levels: a patient-clinician approach using PROMIS® pain interference scores by Karon F. Cook, Dokyoung Sophia You, Michael Von Korff, Sean C. Mackey

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Research on Wellbore Trajectory Prediction Based on a Pi-GRU Model by Hanlin Liu, Yule Hu, Zhenkun Wu

“…The GRU network captures the temporal dependencies of sequence data (such as dip angle and azimuth angle), while the BP neural network extracts deep correlations from non-sequence features (such as stratum lithology), thereby achieving multi-source data fusion modeling. …”
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