High-Throughput ORB Feature Extraction on Zynq SoC for Real-Time Structure-from-Motion Pipelines by Panteleimon Stamatakis, John Vourvoulakis

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Speech emotion recognition with light weight deep neural ensemble model using hand crafted features by Jaher Hassan Chowdhury, Sheela Ramanna, Ketan Kotecha

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Comparison of pre-trained models for domain-specific entity extraction from student report documents by Antonina V. Melnikova, Marina S. Vorobeva, Anna V. Glazkova

“…Additionally, automating the document processing workflow reduces the labor costs associated with manual processing. …”
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Using self-generated identification codes to match anonymous longitudinal data in a sexual health study of secondary school students: a cohort study by Edmond Pui Hang Choi, Ellie Bostwick Andres, Heidi Sze Lok Fan, Lai Ming Ho, Alice Wai Chi Fung, Kevin Wing Chung Lau, Neda Hei Tung Ng, Monique Yeung, Janice Mary Johnston

“…Abstract Objective This study aimed to (i) describe the procedures for generating self-generated identification codes (SGICs) in a prospective longitudinal evaluation of a sexual health program for secondary school students in Hong Kong; (ii) outline the matching strategies and processes; (iii) examine rates of successful matching and associated factors; and (iv) compare the responses of participants whose data could be matched to those whose data could not. …”
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Groundwater depletion intensified by irrigation and afforestation in the Yellow River Basin: A spatiotemporal analysis using GRACE and well monitoring data with implications for su... by Shuitao Guo, Yingying Yao, Qiang Ji, Huijun Jin, Taihua Wang, Michele Lancia, Xianhong Meng, Chunmiao Zheng, Dawen Yang

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Carbon Emission Characteristics and Low-Carbon Operation Evaluation of Some Wastewater Treatment Plants in East China: An Empirical Study Based on Actual Production Data by Haoyu Wang, Xiuping Zhang, Lipin Li, Zhengda Lin, Yu Tian

“…Strategic recommendations are proposed, including prioritizing AAO process optimization, implementing intelligent chemical dosing control, utilizing food wastewater as an alternative carbon source, and enhancing operational load rates, to advance synergistic environmental and carbon mitigation goals in eastern China’s wastewater sector.…”
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Estimation of Forest Canopy Cover by Combining ICESat-2/ATLAS Data and Geostatistical Method/Co-Kriging by Jinge Yu, Hongyan Lai, Li Xu, Shaolong Luo, Wenwu Zhou, Hanyue Song, Lei Xi, Qingtai Shu

“…In this study, to improve the estimation accuracy, a new method of FCC wall-to-wall mapping was suggested based on ice, cloud, and land elevation satellite/advanced topographic laser altimeter system (ATLAS) data. Specifically, one dataset of FCC's observations was combined with preprocessed ATLAS data and topographic factors to build a random forest regression (RFR) model. …”
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Tilt-induced changes in f-wave characteristics during atrial fibrillation: an experimental and computational investigation by Mostafa Abdollahpur, Chiara Celotto, Chiara Celotto, Carlos Sánchez, Carlos Sánchez, Felix Plappert, Sten Östenson, Pyotr G. Platonov, Pablo Laguna, Pablo Laguna, Esther Pueyo, Esther Pueyo, Frida Sandberg

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DISYNCRO: Perceived roles of clinical study coordinators and data managers: results from a web-based survey of professionals from contract research organizations by Susanna Yedro, Elena Tinari, Daniele Napolitano, Giulia Wlderk, Eleonora Ribaudi, Luciana Giannone, Gianluca Ianiro, Mattia Bozzetti, Antonio Gasbarrini, Vincenzina Mora

“…Introduction: The evolution of clinical trials has made it essential to introduce specific roles, such as Clinical Study Coordinator (CSC) and Data Manager (DM), into the research process. Their responsibilities sometimes overlap, creating operational challenges in the workplace. …”
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COVID-19 Diagnosis Using Spectral and Statistical Analysis of Cough Recordings Based on the Combination of SVD and DWT by Thabit Sultan Mohammed, Awni Ismail Sultan, Khattab M. Ali Alheeti, Karim Mohammed Aljebory, Hasan Ismail Sultan, Muzhir Shaban Al-Ani

“…The combination of these two signal processing techniques is gaining lots of interest in the field of speaker and speech recognition. …”
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Band-mixing’s k-dependence in InGaAs quantum wells unveiled by pump-probe experimental data analyzed with a -based intersubband scattering model by Jiarun Bai, Rebecca Mac, Dayan Ban, Emmanuel Dupont

“…Just by using the one-band model, the overall 2–1 scattering rate is ∼66% overestimated in a QW tuned at $\lambda_{21}\sim$ 5 µ m, while using the eight-band model, good agreement with the experimental data is obtained by properly choosing these material parameters. …”
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AGE-DEPENDENT CHARACTERISTICS OF EPIDEMIOLOGICAL PROCESS OF HEPATITIS A IN FEDERAL DISTRICTS OF RUSSIA AT CURRENT PERIOD OF TIME. BASIS OF THE NECESSITY OF SCHEDULED VACCINATION AG... by S. L. Mukomolov, I. A. Levakova, A. V. Stalevskaya

“…Recently epidemiological data on maximal hepatitis A (HA) morbidity values shift to older age groups, including adolescents at the age of 15–19 years and young adults at the age 20–39 years, and decreasing significance of children as a risk group have been published. …”
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Improving prediction accuracy of hospital arrival vital signs using a multi-output machine learning model: a retrospective study of JSAS-registry data by Yasuyuki Kawai, Koji Yamamoto, Keisuke Tsuruta, Keita Miyazaki, Hideki Asai, Hidetada Fukushima

“…The primary outcome was the actual values of vital signs measured at hospital arrival. After data preprocessing, we constructed a deep neural network multi-output regression model using Bayesian optimization. …”
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CHANGING STATUS OF GLOBAL COVID-19 OUTBREAK IN THE WORLD AND IN TURKEY AND CLUSTERING ANALYSIS by Elif Kartal, Mehmet Erdal Balaban, Bülent Bayraktar

“…Material and Method: In this study, CRoss-Industry Standard Process for Data Mining - CRISP-DM is used as the study method. …”
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Low-frequency ultrasonic pulse-echo datasets for geometry determination of a reinforced concrete step specimen with embedded polystyrene foam cuboids in non-destructive testingData... by Maria Grohmann, Stefan Maack, Matthias Behrens, Ernst Niederleithinger

“…It also provides a detailed description of the further measurement equipment used. The ultrasonic raw data are stored in a universally readable format, with each time signal (A-scan) spanning two milliseconds and a sampling rate of two mega-samples per second. …”
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Application of Non-Parametric and Forecasting Models for the Sustainable Development of Energy Resources in Brazil by Gabriela Mayumi Saiki, André Luiz Marques Serrano, Gabriel Arquelau Pimenta Rodrigues, Guilherme Dantas Bispo, Vinícius Pereira Gonçalves, Clóvis Neumann, Robson de Oliveira Albuquerque, Carlos Alberto Schuch Bork

“…This study utilizes data envelopment analysis (DEA) and bootstrap computational methods to evaluate Brazil’s energy efficiency from 2004 to 2023. …”
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Enhanced Q learning and deep reinforcement learning for unmanned combat intelligence planning in adversarial environments by Xu Jianhong, Liang Gongqian

“…By integrating an attention mechanism and an adaptive reward mechanism, the algorithm effectively fuses image data, sensor data, and intelligent information, enabling collaborative multimodal data processing. …”
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Phenotyping Healthcare Use 2–3 Decades Before the First Multiple Sclerosis Demyelinating Event by Helen Tremlett, Karl Everett, Colleen J. Maxwell, Feng Zhu, Ayesha Asaf, Ping Li, Kyla A. McKay, Yinshan Zhao, Ruth Ann Marrie

“…Health‐related phenotypical differences appear early in the MS disease process.…”
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A Method for Estimating X-Ray Pulsar Period and Pulse Time Delay: Applying the Improved -test to Complex Profiles by T. H. Xie, W. J. Zhang, J. R. Li, Y. Hao, P. L. Cui, X. L. Ning, X. Ma

“…In addition, the observation data of the PSR B0531+21 pulsar is processed and analyzed. …”
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Evaluation of Automated Object-Detection Algorithms for Koala Detection in Infrared Aerial Imagery by Laith A. H. Al-Shimaysawee, Anthony Finn, Delene Weber, Morgan F. Schebella, Russell S. A. Brinkworth

“…This paper introduces a biologically inspired detection algorithm to locate koalas in eucalyptus plantations and evaluates its performance against ten other detection techniques, including both image processing and neural-network-based approaches. The nature of koala occlusion by canopy cover in these plantations was also examined using a combination of simulated and real data. …”
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