Search Results - research algorithm

Ex-vivo validation of nine algorithms for quantifying infarcts with late gadolinium enhancement cardiovascular magnetic resonance by Sascha Kopic, Einar Heiberg, Henrik Engblom, Marcus Carlsson, David Nordlund, Robert Jablonowski, Mikael Kanski, Christos Xanthis, Sebastian Bidhult, Anthony H. Aletras, Håkan Arheden

“…Furthermore, the reported algorithm performance varies considerably between studies. …”
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An Improved Robust Filtering Recursive Algorithm for Stochastic Uncertain Vehicle INS/OD Systems With Anomalous Measurements by Shuang Pan, Chao Wang, Chunlei Zhang, Linping Feng

“…The autonomous vehicular navigation technology has gained more and more attention of researchers. Odometer is the most commonly used auxiliary sensor for autonomous navigation in vehicles due to its stability and high accuracy. …”
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Fine Tuning Hyperparameters of Deep Learning Models Using Metaheuristic Accelerated Particle Swarm Optimization Algorithm by Abdel-Hamid M. Emara, Ghada Atteia, Jawad Hasan Alkhateeb

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Mixed Integer Nonlinear Programming-Based Unit Commitment of Conventional Thermal Generators Using Hybrid Evolutionary Algorithms by Syed Arslan Ali Shah, Noor Hussain Mugheri, Riaz Hussain Memon, Aamir Ali Bhatti, Muhammad Usman Keerio

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A Comprehensive Review and Benchmarking of Fairness-Aware Variants of Machine Learning Models by George Raftopoulos, Nikos Fazakis, Gregory Davrazos, Sotiris Kotsiantis

“…Ensuring fairness has been a central research focus, leading to the development of various mitigation strategies in the literature. …”
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Research Progress in the Screening of Antimicrobial Substances Based on Machine Learning by HOU Jiangxia, JIANG Jinhui, WANG Chenxin, WANG Lan, SHI Liu, WU Wenjin, GUO Xiaojia, CHEN Sheng, CHEN Lang, CAO Feng, SUN Li, ZHOU Zhi

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Progress in Interdisciplinary Research: Evidence From the COVID-19 Pandemic by Shufang Huang

“…In this study, we employed Python-based algorithms to analyze 156,674 publications from the Web of Science database, tracing the development of coronavirus research and interdisciplinary collaboration. …”
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Review of Research on Artificial Intelligence-driven Joint Radar Communication by Xianmei WANG, Xiangbo LIU, Yuzheng REN, Yang LU, Haijun ZHANG

“…Finally, the article is summarized, and the potential technical challenges and future research directions in this field are described.…”
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Research on Customer Churn Prediction Using Machine Learning Models by Jia Xiaolei

“…With the increasing availability of customer data and advancements in machine learning techniques, accurate churn prediction has become more feasible and impactful. This research compares and analyzes the advantages and disadvantages of three different machine learning algorithms applied to customer churn prediction: random forest, decision tree, and neural network. …”
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Ai And Creative Research In Algerian Universities: Faculty Perspectives On Integration by Meryem Kehal

“…The research hypothesizes that faculty members generally perceive AI integration positively, recognizing its potential to enhance creativity and streamline research processes. …”
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Research on the robustness of the open-world test-time training model by Shu Pi, Xin Wang, Jiatian Pi

“…IntroductionGeneralizing deep learning models to unseen target domains with low latency has motivated research into test-time training/adaptation (TTT/TTA). …”
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Navigating the Transformative Impact of Artificial Intelligence in Health Services Research by Guosong Wu, Fengjuan Yang

“…ABSTRACT Background and Aims Artificial intelligence (AI) is transforming health services research by providing novel insights, enhancing care quality, and improving patient outcomes. …”
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Harnessing Artificial Intelligence for the Diagnosis, Treatment and Research of Multiple Sclerosis by Manisha S. Patil, Linda Y. Lin, Rachel K. Ford, Elizaveta J. James, Stella Morton, Felix Marsh-Wakefield, Simon Hawke, Georges E. Grau

“…AI is also playing a critical role in MS fundamental research by promoting efficient analysis of vast amounts of single-cell data. …”
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The Petawawa Research Forest: Establishment of a remote sensing supersite by Joanne C. White, Hao Chen, Murray E. Woods, Brian Low, Sasha Nasonova

“…Herein we describe the establishment of a remote sensing supersite atthe Petawawa Research Forest (PRF) in southern Ontario, Canada, and summarize the open access datasets that have beencompiled and made available to the public. …”
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Development and Use of Biotechnological System Models in Applied Scientific Research by M. A. Kerimov

“…The system includes three subsystems: two of them have a biological nature and exhibit probabilistic behavior, while the milking machine, serving as a connecting element with inanimate characteristics, is to be regarded as a deterministic technical subsystem. (Research purpose) The research aims to substantiate the conceptual approach to the functioning of an «operator-machine-animal» biotechnical system, taking into account the subsystem interaction patterns. …”
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MATHEMATICAL ECONOMIC MODEL OF PRODUCTION BUDGET OPTIMIZATION AS MARKETING CONSTITUENT by Alla V. Nemova

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FORMATION OF FULL COLLECTION OF SCELETONS FOR FREE CONCOURS by Alexander P. KOROBEINIKOV, Nikolay N. SADOVOY

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MECHATRONIC SYSTEM OF GRAIN COMBINE ADAPTIVE DRIVING CONTROL by Dmitry Yakovlevich Parshin, Denis Gennadyevich Shevchuk

“…The basic external actions on the grain combine mechatronic control system, and their effect on the motion pattern and the production process are considered. The research objective is the problem solution on the adaptive control of the motion path and tool load ratio of the grain combine based on fuzzy logic inference. …”
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Analysis of Customer Power Consumption Behavior Based on DPSO-Kmeans under the Ubiquitous Power Internet of Things by WANG Ying, XIANG Wen, ZHANG Qun, GAO Xiuyun

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Machine learning ensemble model prediction of northward shift in potato cyst nematodes (Globodera rostochiensis and G. pallida) distribution under climate change conditions by Yitong He, Guanjin Wang, Yonglin Ren, Shan Gao, Dong Chu, Simon J. McKirdy

“…Then, five machine learning models were employed to build two groups of ensembles, single-algorithm ensembles (ESA) and multi-algorithm ensembles (EMA), and compared their performances. …”
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