Recurrent Neural Network-Based Autoencoder for Problems of Automat-ic Time Series Analysis at Power Facilities by Matrenin P.V., Khalyasmaa A.I., Potachits Y.V.

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Analysis of the most influential factors affecting outcomes of lung transplant recipients: a multivariate prediction model based on UNOS Data by Reza Safdari, Marsa Gholamzadeh, Hamidreza Abtahi, Mehrnaz Asadi Gharabaghi

“…Our primary objective was to identify the key factors that influence the allocation of priorities in LTx using machine learning (ML) techniques to enhance the process of prioritising patients.Design Developing a prediction model.Setting and participants Our data were retrieved from the United Network for Organ Sharing (UNOS) open-source database of transplant patients between 2005 and 2023.Interventions After the preprocessing process, a feature engineering technique was employed to select the most relevant features. …”
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Validation of the EmotiBit wearable sensor for heart-based measures under varying workload conditions by Anna Vorreuther, Nektaria Tagalidou, Mathias Vukelić

“…IntroductionThe EmotiBit photoplethysmography (PPG) device allows user-owned data collection for measures of cardiovascular activity (CVA) and electrodermal activity (EDA) in naturalistic settings. …”
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Correlation of excess salt intake identified by the survey with urine sodium level and blood pressure: data of ESSE-RF study by Yu. A. Balanova, V. A. Kutsenko, S. A. Shalnova, A. E. Imaev, A. V. Kapustina, G. A. Muromtseva, S. E. Evstifeeva, N. S. Karamnova, S. A. Maksimov, E. B. Yarovaya, O. M. Drapkina, A. N. Redko, S. N. Alekseenko, S. V. Gubarev, I. A. Viktorova, M. A. Livzan, I. A. Grishechkina, M. Yu. Rozhkova, N. N. Prishchepa, N. N. Vezikova, I. S. Skopets, S. S. Yakushin, E. V. Filippov, N. V. Dobrynina, N. N. Nikulina, K. G. Pereverzeva, K. A. Moseichuk

“…All participants were stratified by the quintiles of urine sodium level. Data analysis was performed using the software package R 3.6.1. …”
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Effect of brief reflective parenting in parents of young children with autism spectrum disorder: Pre and post-intervention study by Saatvika Parashar, Sneha Das, Neha Sharma, Sonia Puar

“…Background: Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by marked impairments in social interaction and communication accompanied by a pattern of repetitive, stereotyped behaviors and activities. The prevalence rate after COVID-19 is 0.3%. Inferential processing style in parents plays a major role in maintaining the psychopathology in children. …”
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Distribution, traditional utilization, processing, and health benefits associated with the consumption of morama bean [Tylosema escululetum (Burch.)]: a survey from selected distri... by John Gwamba, Samuel Imathiu, John Kinyuru, Arnold Onyango, Masa Veronica Motaung

“…The data was analyzed using Statistical Package for the Social Sciences (SPSS) and thematic grouping. …”
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Optimisation of the removal of antibiotics from aqueous environments through ultrasonic processing with α-hematite nanoparticles using response surface methodology (case study: cef... by Ahmad Rajabizadeh, Hossein Abdipour, Hossein Jafari Mansoorian

“…The chemical oxygen demand (COD) was measured to monitor the removal of Cefixime. The outcomes of the data analysis revealed that the catalyst dosage and contact time were the most significant factors influencing the Cefixime removal rate. …”
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Speaker-Independent Phoneme-Based Automatic Quranic Speech Recognition Using Deep Learning by Samah Al-Zaro, Mahmoud Al-Ayyoub, Osama Al-Khaleel

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Solution-Processed CsPbBr₃ Perovskite Photodetectors for Cost-Efficient Underwater Wireless Optical Communication System by Jiakang Wei, Yutong Deng, Jianjian Fei, Tian Yang, Pinhao Chen, Lu Zhu, Zhanfeng Huang

“…Based on these perovskite PDs, a cost-efficient UWOC system was successfully demonstrated on an FPGA platform, achieving a data rate of 6.25 Mbps with a low bit error rate of 0.36%. …”
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3D modelling and x-ray depth analysis map of the pulp with computer software via digital periapical radiography and cone beam computed tomography by Turgut Felek, Samed Satir, Selale Ozel, H. Kursat Celik

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VBI-Accelerated FPGA Implementation of Autonomous Image Dehazing: Leveraging the Vertical Blanking Interval for Haze-Aware Local Image Blending by Dat Ngo, Jeonghyeon Son, Bongsoon Kang

“…The FPGA accelerator performs computations with strict timing requirements during the vertical blanking interval, ensuring smooth and flicker-free processing of input data streams. Experimental results validate the effectiveness of the proposed method, and hardware implementation results demonstrate that the FPGA accelerator achieves a processing rate of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>45.34</mn></mrow></semantics></math></inline-formula> frames per second at DCI 4K resolution while maintaining efficient utilization of hardware resources.…”
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Gender Prediction from Social Media Comments with Artificial Intelligence by Özer Çelik, Ahmet Faruk Aslan

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Linear regressive weighted Gaussian kernel liquid neural network for brain tumor disease prediction using time series data by Firoz Khan, Sardar Irfanullah Amanullah, Shitharth Selvarajan

“…Following data collection, preprocessing is performed, involving two key processes: handling missing data and outlier detection. …”
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Multi-behavioral job recommendation integrating knowledge graph by Bin LIU, Xiaoyu LEI, Gege LIU, Shiyuan ZHAN, Xin GAO, Xiaoyan YANG

“…This method constructed a knowledge graph of job seeking based on real job data,and proposed a multi behavior preference propagation strategy based on preference propagation theory. …”
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A Lung Cancer Detection with Pre-Trained CNN Models by Chai Chee Chiet, Khoh Wee How, Pang Ying Han, Yap Hui Yen

“…The early detection of lung cancer will decrease its death rate. The only way to detect lung cancer is with a CT scan, and it also requires the doctor to check the scan to confirm the disease. …”
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Influence of the moisture and ash content in flue gases on the performance of adsorption processes using activated carbons to capture the CO2 for reuse in greenhouses by R. López Pastor, M.G. Pinna-Hernández, J.A. Sánchez Molina, F.G. Acién Fernández

“…The influence of the inlet flow rate, moisture, and ash content were analysed. The experimental conditions were based on those that are achievable under real operating conditions, namely an inlet flow rate from 1.2 to 4.8 L per minute, humidity from 3 % to 65 %, and an ash concentration from 0 % to 1 %. …”
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Detection of Critical Parts of River Crab Based on Lightweight YOLOv7-SPSD by Guoai Fang, Yu Zhao

“…We start by constructing a crab tail dataset and completing the data labeling process. To enhance the lightweight nature of the YOLOv7-tiny model, we incorporate the Slimneck module, PConv, and the SimAM attention mechanism. …”
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Intelligent data-driven system for mold manufacturing using reinforcement learning and knowledge graph personalized optimization for customized production by Chengcai He, Jiaxing Deng, Jingchun Wu, Beicheng Qin, Jinxiang Chen, Yan Li, Qiangsheng Huang

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Evaluating a Customized Version of ChatGPT for Systematic Review Data Extraction in Health Research: Development and Usability Study by Jayden Sercombe, Zachary Bryant, Jack Wilson

“… Abstract BackgroundSystematic reviews are essential for synthesizing research in health sciences; however, they are resource-intensive and prone to human error. The data extraction phase, in which key details of studies are identified and recorded in a systematic manner, may benefit from the application of automation processes. …”
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Estimating the life course of influenza A(H3N2) antibody responses from cross-sectional data. by Adam J Kucharski, Justin Lessler, Jonathan M Read, Huachen Zhu, Chao Qiang Jiang, Yi Guan, Derek A T Cummings, Steven Riley

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