Search Results - binary data processing

Environmental Risk Assessment of Wuhan Qingshan Industrial Park Based on Multi-Source Data Fusion and FAHP by Yang Yangyi

“…This study proposes a multi-source data fusion framework that integrates remote sensing, statistical yearbooks, and pollutant inventory estimation to build a comprehensive environmental risk evaluation index system. …”
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Power Quality 24 h Verification in Smart Load Scheduling Based on Differentiate, Deep, and Assembly Statistics in NWP Processing by Ladislav Zjavka

“…Parametric C++ software including measured system and environment observation data is accessible in public data archives to allow for additional experimental comparisons and investigation.…”
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OneSTOP: OneBiosecurity systems and technology for people, places and pathways by Quentin Groom, Tim Adriaens, Tom August, César Capinha, Ana Cardoso, Katharina Dehnen-Schmutz, Franz Essl, Alexandra Franklin, Marina Golivets, João Gonçalves, Louise Hendrickx, Dave Hodgson, Toke Høye, Philip Hulme, Sabrina Kumschick, Bernd Lenzner, Eva Malta-Pinto, Angeliki (F) Kelly Martinou, Sofie Meeus, Tom Myers, Nicolas Noé, Ana Novoa, Michael Pocock, Anna Poimala, Cristina Preda, Petr Pyšek, Lien Reyserhove, Laurentiu Rozylowicz, Anna Sapundzhieva, Cândida Vale, Joana Vicente, Nikol Yovcheva, Agnes Zolyomi, Helen Roy

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Experimental Investigation of Iterative Pseudoinverse Ghost Imaging by Xiaofeng Lv, Shuxu Guo, Chenglong Wang, Chao Yang, Hongwei Zhang, Junfeng Song, Wenlin Gong, Fengli Gao

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Optimised autoencoder-based ensemble deep learning approaches for cyber-physical event classification utilizing synchrophasor PMU data by Dhinu Lal M, Ramesh Varadarajan

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Identifying Ring Galaxies in DESI Legacy Imaging Surveys Using Machine Learning Methods by Aina Zhang, Xiaoming Kong, Bowen Liu, Nan Li, Yude Bu, Zhenping Yi, Meng Liu

“…We experimented with various model combinations applied to the data sets of the DESI Legacy Imaging Surveys DR9, processing a total of 573,668 images with redshifts ranging from z_spec = 0.01–0.20 and mag _r < 17.5. …”
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Compact XOR/XNOR-Based Adders and BNNs Utilizing Drain-Erase Scheme in Ferroelectric FETs by Musaib Rafiq, Yogesh Singh Chauhan, Shubham Sahay

“…ABSTRACT Compact and energy-efficient computing avenues such as in-memory computing and processing-in-memory (PIM) are being actively explored to address the limitations of the sparse vonNeumann computing systems. …”
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Graph-Based Radiomics Feature Extraction From 2D Retina Images by Ofelio Jorreia, Nuno Goncalves, Rui Cortesao

“…Medical image analysis offers valuable visual support for clinical decision-making, yet the incorporation of quantitative data is essential for deeper diagnostic insight. …”
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Active Contours Connected Component Analysis Segmentation Method of Cancerous Lesions in Unsupervised Breast Histology Images by Vincent Majanga, Ernest Mnkandla, Zenghui Wang, Donatien Koulla Moulla

“…Initially, this approach prepares and pre-processes data through various augmentation methods to increase the dataset size. …”
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Discovery of Two Ultra-diffuse Galaxies with Unusually Bright Globular Cluster Luminosity Functions via a Mark-dependently Thinned Point Process (MATHPOP) by Dayi (David) Li, Gwendolyn M. Eadie, Patrick E. Brown, William E. Harris, Roberto G. Abraham, Pieter van Dokkum, Steven R. Janssens, Samantha C. Berek, Shany Danieli, Aaron J. Romanowsky, Joshua S. Speagle

“…As a precursor to M athpop , we also address the data uncertainties coming from the selection process of GC candidates: we obtain probabilistic GC candidates instead of the traditional binary classification based on the color–magnitude diagram. …”
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Enhancing Text Classification Through Grammar-Based Feature Engineering and Learning Models by Alaa Mohasseb, Andreas Kanavos, Eslam Amer

“…Text classification remains a challenging task in natural language processing (NLP) due to linguistic complexity and data imbalance. …”
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Asymptotically Optimal Status Update Compression in Multi-Source System: Age–Distortion Tradeoff by Jun Li, Wenyi Zhang

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Harm reduction in photovoice knowledge mobilization with 2S/LGBTQ+ youth who use(d) drugs: A community showcase by Trevor Goodyear, Christian Barborini, Reid Gilmore, Apollo Collin-Gray, Mazal Jensen, Lee Young, Alec Hossain, En He, Other Members of the Substance Use Beyond the Binary Youth Action Committee

“…We then detail our approach to promoting youth choice in selecting generative and non-harmful photographs for the exhibit, such as by using photo-rating and photo-release processes during study data collection and deliberating with the Youth Action Committee to choose exhibit photographs that could most appropriately and respectfully represent research participant’s multiple lived realities. …”
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Machine learning-guided construction of an analytic kinetic energy functional for orbital free density functional theory by Sergei Manzhos, Johann Lüder, Pavlo Golub, Manabu Ihara

“…A previously published dataset including multiple phases of 433 unary, binary, and ternary compounds containing Li, Al, Mg, Si, As, Ga, Sb, Na, Sn, P, and In was used for training, including data at the equilibrium geometry as well as strained structures. …”
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Dynamical Signatures of Trumpler 19: A Statistical and Photometric Perspective by A. H. Sheikh, Biman J. Medhi, Ram Sagar

“…We identified 810 cluster members using an ensemble-based unsupervised machine learning method applied to Gaia Data Release 3 astrometric data. From the color–magnitude diagram, we identified 18 blue straggler stars (BSSs) in Trumpler 19. …”
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Real-Time Automated Cyber Threat Classification and Emerging Threat Detection Framework by Alemayehu Tilahun Haile, Surafel Lemma Abebe, Henock Mulugeta Melaku

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Remote Sensing of Alpine Peatlands: Challenges of Mapping Thousands of Sparse Small Sites Scattered Across Extensive Mountainous Territories by Qiqi Li, Manudeo Singh, Sonia Silvestri

“…The results show that the data set of single‐year time series multi‐source imagery, binary samples (peatland or non‐peatland), and 30 m DEM is the most effective for mapping alpine peatlands. …”
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Prediction of Thyroid Classes Using Feature Selection of AEHOA Based CNN Model for Healthy Lifestyle by Rachappa Jopate, Piyush Kumar Pareek, DivyaJyothi M. G, Ariam Saleh Zuwayid Juma Al Hasani

“…At first, employ a method called the Synthetic Minority Over-sampling Technique (SMOTE) to even out the data. Finally, the parameters of the AEHOA model are fed into a Convolutional Neural Network (CNN) to categorise data and enhance prediction. …”
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Applying a logistic regression-clustering joint model to analyze the causes of prolonged pre-analytic turnaround time for urine culture testing in hospital wards by Shuangshuang Lv, Huan Ye, Yuan Li, Jian Zhang

“…IntroductionIn this study, we developed and validated a logistic regression-clustering joint model to: (1) quantify multistage workflow bottlenecks (collection/transport/reception) in urine culture pre-TAT prolongation (&gt;115 min); and (2) assess the efficacy of targeted interventions derived from model-derived insights.MethodsUsing complete workflow data obtained from 1,343 urine culture specimens (January 2024–March 2024) collected at a tertiary hospital, we integrated binary logistic regression analysis with K-means clustering to quantify delay patterns. …”
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An annual 30&thinsp;m cultivated-pasture dataset of the Tibetan Plateau from 1988 to 2021 by B. Han, J. Bi, S. Tao, T. Yang, Y. Tang, M. Ge, H. Wang, Z. Jin, J. Dong, Z. Nan, J.-S. He, J.-S. He

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