Search Results - statistical algorithm

Auto-Tuning Memory-Based Adaptive Local Search Gaining–Sharing Knowledge-Based Algorithm for Solving Optimization Problems by Nawaf Mijbel Alfadli, Eman Mostafa Oun, Ali Wagdy Mohamed

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A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example by I. D. Busov, M. A. Genaev, E. G. Komyshev, V. S. Koval, T. E. Zykova, A. Y. Glagoleva, D. A. Afonnikov

“…The analysis revealed statistically significant differences in the distribution of median intensities for samples of images of grains with and without pigmentation. …”
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INCIDENCE OF PSORIATIC ARTHRITIS IN RUSSIA: TRENDS AT THE PRESENT STAGE AND PROSPECTS by O. S. Mishina, T. V. Korotaeva, V. I. Starodubov, E. L. Nasonov

“…This disease has been recorded in the official statistics of the Ministry of Health of Russia since only 2009. …”
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Comparative Analysis of Some Methods and Algorithms for Traffic Optimization in Urban Environments Based on Maximum Flow and Deep Reinforcement Learning by Silvia Baeva, Nikolay Hinov, Plamen Nakov

“…Through SUMO simulations and statistical tests, algorithms such as Ford–Fulkerson, Edmonds–Karp, Dinitz, Preflow–Push, Boykov–Kolmogorov and Double <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>D</mi><mi>Q</mi><mi>N</mi></mrow></semantics></math></inline-formula> are compared. …”
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Compression and Cryptography Algorithms for 3D Remote Sensing Point Cloud Data Based on 3D-TCICM and ECC by Pengfei Yan, Shixian Nan, Xiufang Feng, Yongfei Wu, Jie Yang, Hao Zhang

“…The algorithm exhibits robustness against various attacks such as differential, statistical, chosen-plaintext, known-plaintext, chosen-ciphertext, noise, and cropping attacks.…”
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A Comparative Study of Deep Reinforcement Learning Algorithms for Urban Autonomous Driving: Addressing the Geographic and Regulatory Challenges in CARLA by Yechan Park, Woomin Jun, Sungjin Lee

“…In these challenging scenarios, the TQC algorithm achieved a Route Completion rate of 0.91, substantially outperforming the 0.23 rate observed with DDPG. …”
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Comparative Diagnostic Efficacy of HeartLogic and TriageHF Algorithms in Remote Monitoring of Heart Failure: A Cohort Study by David Ledesma Oloriz, Daniel García Iglesias, Rodrigo Ariel di Massa Pezzutti, Fernando López Iglesias, José Manuel Rubín López

“…Survival analysis shows no statistical differences between both algorithms in the 30 days following the alert. …”
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Annotation of Text Corpora by Sentiment and Presence of Irony within a Project of Citizen Science by Ilya Vyacheslavovich Paramonov, Anatoliy Yurievich Poletaev

“…The annotation was done by volunteers within the project “Prepare texts for algorithms” on the portal “People of science”. The existing knowledge on the domain regarding each task was the basis to develop guidelines for annotators. …”
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Modeling the variables that influence substance consumption of people who experience homelessness in Colombia by Leandro González Támara, Sandra Patricia Barragán Moreno

“…A two-stage quantitative methodology was applied: (1) descriptive analysis of the demographic and socioeconomic characteristics of the homeless population, and (2) predictive modeling using random forest algorithms to identify key variables associated with substance use. …”
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Incidence of pancreatic malignancies in the Russian Federation: a retrospective cohort trial by V. E. Moiseenko, A. V. Pavlovsky, D. A. Granov, I. G. Kardanova, L. V. Kochorova, I. V. Dodonova

“…At a relatively improved prevalence and lethality in other-locale malignancies, pancreatic cancer remains a disappointing situation. Medical statistics in pancreatic malignancy can be used for the specialty care prediction and implementation of measures to advance diagnostic algorithms and population screening.Objectives. …”
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Information method of optimization parameters in the diagnosis of gas turbine engines by G. S. Zontov

“…The autor focuses on the retional combination of methods of mathematical analysis and statistics and de-veloping an algorithm that allows to optimize the use of mathematical methods by longitudinal data collection and ma-chine learning.…”
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Enhancing Fuzzy C-Means Clustering with a Novel Standard Deviation Weighted Distance Measure by Ahmed Husham Mohammed, Marwan Abdul Hameed Ashour

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Does Gastroenterology Need Artificial Intelligence? by S. M. Kurbatsky

“…Tuning a diagnostic algorithm (DA) necessarily requires a statistically representative training set of images. …”
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Mapping sugarcane plantations in Northeast Thailand using multi-temporal data from multi-sensors and machine-learning algorithms by Savittri Ratanopad Suwanlee, Surasak Keawsomsee, Emma Izquierdo-Verdiguier, Jaturong Som-Ard, Alvaro Moreno-Martinez, Vorraveerukorn Veerachit, Jantima Polpinij, Kanokporn Rattanasuteerakul

“…The effectiveness of machine learning algorithms and the limited reference data introduce uncertainness for sugarcane classification. …”
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Statistical and Machine Learning Classification Approaches to Predicting and Controlling Peak Temperatures During Friction Stir Welding (FSW) of Al-6061-T6 Alloys by Assad Anis, Muhammad Shakaib, Muhammad Sohail Hanif

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Identification of factors associated with acute malnutrition in children under 5 years and forecasting future prevalence: assessing the potential of statistical and machine learnin... by Christopher Coffey, Meike Reusken, Frans Cruijssen, Bertrand Melenberg, Cascha van Wanrooij

“…We then applied tree-based machine learning algorithms to a dataset comprising the GAM prevalence estimates and associated factors to try to forecast the trajectory and fluctuations in GAM prevalence 6 months into the future.Results We found factors statistically associated with GAM prevalence relating to rainfall, land vegetation quality, food security status, crop production and demographics. …”
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Modeling and computing experiment in the problem of predicting the per capita monetary income of the population based on the methods of correlation and regression analysis by Angelina Vladimirovna Vaskina, Victoria Igorevna Naats

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Enhancing FTIR Spectral Feature Construction for Aero-Engine Hot Jet Remote Sensing via Integrated Peak Refinement and Higher-Order Statistical Fusion by Zhenping Kang, Yurong Liao, Xinyan Yang, Zhaoming Li

“…Subsequently, a multi-dimensional feature extraction vector construction algorithm was proposed, encompassing a peak feature extraction algorithm based on staged refined processing and a high-order statistical feature extraction algorithm. …”
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Genetic algorithm optimization of ensemble learning approach for improved land cover and land use mapping: Application to Talassemtane National Park by Ali Azedou, Aouatif Amine, Isaya Kisekka, Said Lahssini

“…This study proposes a Genetic Algorithm (GA) optimization method for ensemble classification to improve LCLU classification accuracy while maintaining computational efficiency. …”
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The Classical Model of Type-Token Systems Compared with Items from the Standardized Project Gutenberg Corpus by Martin Tunnicliffe, Gordon Hunter

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