Digital Signal Processing for The Development of Deep Learning-Based Speech Recognition Technology by Dita Novita Sari, Danang Kusnadi, Ricco Herdiyan Saputra, Mujeeb Ullah Khan

“…This research method consists of several stages: introduction, research design, data collection, data preprocessing, Deep Learning Model Development, performance training and evaluation, experiments and testing, and data analysis. …”
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Research Opportunity Analysis in The Implementation of Scientific Literacy with Learning Media: Systematic Literature Network Analysis by Olyivia Retdwina Rusma, Muslim Muslim, Lilit Rusyati, Adlina Eugenia Fatimah Ghaisani

“…This study aims to show research trend data related to learning media related to science literacy. …”
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Automated Seizure Detection through EEG Analysis and Deep Learning Technique by Srinivas Nowduri, M. Madhusudhana Subramanyam

“…This is because neurologists are burdened with analyzing electroencephalogram (EEG) data via visual inspection, and automating the process can reduce their workload. …”
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Adaptive Video Anomaly Detection by Attention-Based Relational Knowledge Distillation by Burcak Asal, Ahmet Burak Can

“…With advent of technology, tremendous size of visual data is being generated by video surveillance systems, which makes harder to search, analyze, and detect anomalies on video data by human operators. …”
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Significance of Biomarkers of Endothelial Dysfunction in Central Retinal Vein Occlusion by K. I. Belskaya, L. K. Moshetova, S. P. Kazakov

“…The content of MCP-1 lacrimal fluid and VEGF lacrimal fluid was studied in 3 groups — in group I (patients with the central retinal vein occlusion, in group II (patients with the central retinal artery occlusion), in the control group (practically healthy individuals). The clinical course data are presented by data on best corrected visual acuity (BCVA) in patients of groups I and II and data on retinal thickness in fovea centralis (according to the results of OCT fovea centralis) in patients of group I. …”
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The paradigm of the digital society: synthesis of technocratic and socio-humanitarian approaches by Sholpan Jamanbalayeva, Elena Burova, Ayazhan Sagikyzy, Dinara Zhanabayeva, Alyona Adamidi

“…The methodology of comparability of states, vectors, principles and approaches, as well as the goals of the digital transformation concept (developed for the years 2023–2029), Information and Communication Technology and cybersecurity development, and a comparative analysis of digitalization statistical data have been applied. The article employs a triangulation method: it analyzes data from an international digital readiness index study, examines and visualizes national statistical data and digitalization program indicators and presents the results of a sociological study on societal digitalization conducted by the authors. …”
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Using Neural Networks to Automate the Identification of Brightest Cluster Galaxies in Large Surveys by Patrick Janulewicz, Tracy M. A. Webb, Laurence Perreault-Levasseur

“…Training on simulations yields a squared correlation coefficient, R ^2 , between predictions and ground truth of R ^2  ≈ 0.94 when testing on simulations, which decreases to R ^2  ≈ 0.60 when testing on real data owing to discrepancies between data sets. Limiting the application of this method to real clusters more representative of the training data, such as those with a BCG r -band magnitude r _BCG ≤ 16.5, yields R ^2  ≈ 0.99. …”
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Designing a Smartphone Application for Detection of Oral Bite Force Using Artificial Intelligence by Jinxia Gao, Huazheng Zhou, Longjun Liu

“…Bluetooth wireless transmission has been utilized to transmit, store, and analyze bite simulation data. Results: The developed application has presented sensor data in the form of single or multiple line graphs, assisting dentists in the diagnosis and treatment of oral diseases. …”
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A tale of two events: Arctic rain-on-snow meteorological drivers by Jessica Voveris, Mark Serreze

“…This research utilizes atmospheric reanalysis, automated surface observation station data and atmospheric soundings to determine the meteorological conditions driving these events and the differences between each case. …”
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Treatment outcomes of pars plana vitrectomy-hyaloidotomy-zonulectomy-iridectomy in malignant glaucoma in a tertiary eye care center in South India by Mrunali M Dhavalikar, M Manju, Ganesh V Raman, Premanand Chandran, Prema Subramaniam

“…Patients with less than 3 months of follow-up were excluded from the study. Data collected included demographic data, primary ocular procedure, best-corrected visual acuity in logMAR, and lens status. …”
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Identification of the distribution pattern of macroalgae caulerpa racemosa in Ternate City by Rovina Andriani, Muhammad Djanib Achmad, Najamuddin Najamuddin, Syahnul Sardi Titaheluw

“…This study provides important data to support ecosystem-based management and sustainable coastal conservation, and fills an information gap on the impacts of ecological pressures on macroalgae in this region. …”
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BREATHE: A GeoAI-Powered Air Quality Monitoring and Forecasting System for Urban Sustainability by S. D. Adduri, T. Ali

“…BREATHE system features four essential aspects that include (1) real-time AQI checks at 12 locations across the UAE territory (2) predictive models for AQI forecasting through climatic and historical data analyses (3) interactive dashboards with mapping visuals and alert features and (4) AI-powered chatbot assistance along with non-specialist user-friendly accessibility. …”
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Analysis of Flood Disaster Risks in Jiangsu Province Based on Composite Factors by LU Wanying, SHAO Tingting, ZHAN Zhongyu, HUANG Suning, SUN Xingyi

“…Besides, the spatial distribution data of precipitation, geographic information data, and socio-economic data from 2012 to 2021 were used, and the analytic hierarchy process (AHP) and entropy weight method (EWM) were employed. …”
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The Concept Design of Rice Quality Detection System Using Model-Based System Engineering Approach by Purwa Tri Cahyana, Titi Candra Sunarti, Erliza Noor, Hartrisari Hardjomidjojo, Noer Laily

“…System design was developed using Visual Paradigm Community Edition software and the data were analyzed through the application of R software. …”
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Supporting the editing of dot maps using the spectral clustering algorithm by Dziuba Natalia, Szombara Stanisław

“…These data were entered into the spectral clustering algorithm based on a predefined dot value. …”
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Diabetic Retinopathy Detection Using DL-Based Feature Extraction and a Hybrid Attention-Based Stacking Ensemble by Sanjana Rajeshwar, Shreya Thaplyal, Anbarasi M., Siva Shanmugam G.

“…The methodology involves data acquisition from a diverse dataset, data augmentation to enrich training data, and a multistep image processing pipeline. …”
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Large-scale mapping using UAV-based oblique photogrammetry by Q. Yuan

“…This can obtain higher resolution, larger field of view angle, and more detailed ground information data than traditional methods. In the image acquisition stage, onboard sensors record parameters such as altitude, speed, heading, lateral overlap, and coordinates, and embed geographic image information to enable real-time recording of aircraft attitude parameters with the image data. …”
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Population Pyramids of the Perm Province, 1795–1887 by S. V. Golikova

“…The author examines age-sex pyramids based on materials from revision lists and censuses of the population of the Urals at the end of the 18th – 19th centuries. They have been a visual analysis tool since the 1880s as a clear and effective way for demographers to study census data on sex and age. …”
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Prediction of Road Network Traffic State Using the NARX Neural Network by Ziwen Song, Feng Sun, Rongji Zhang, Yingcui Du, Chenchen Li

“…Then, based on the collected data from the monitoring stations and the weighting formula of the grade roads, the problem of insufficient measured data is solved. …”
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An Exploratory Study of Small-Group Learning Interactions in Pre-Clerkship Medical Education: Uncovering a Mismatch Between Student Perceptions and Real-Time Observations by Jennifer M. Walton, Anna E. Oswald

“…Verbal interaction patterns were visualized and analyzed using social network analysis and correlated with participant survey data and aggregate course grades. …”
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