2024 Hindawi machine learning

Hindawi machine learning

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August undefined, 2024

Webb14 aug. 2024 · Machine learning approaches including SVM, DT, logistic, KNN, ANN, and GB have a high level of validity in classify-ing patients with complicated appendicitis and patients without complicated appendicitis. Among these, GB had the highest level of validity and should be used or further validated. Although further studies are needed to … Webb15 juni 2024 · Machine Learning techniques has got prominent role as they are applied in variety of domains especially in the healthcare. Unlike traditional methods, the models generated by applying ML techniques show dynamic outputs as data is fed into it.

Artificial Intelligence and Machine Learning-Driven Decision

Webb1 sep. 2024 · Breakthroughs in Machine Learning (ML), including deep neural networks and the availability of powerful computing platforms, have recently received much … Webb17 dec. 2024 · The most commonly used artificial intelligence and learning machine tools for decision making are genetic algorithms, cellular automata, and agent-based … fierce with beauty

Predicting Obesity in Adults Using Machine Learning Techniques…

WebbTable 1: Identification of Inflammatory Gene in the Congenital Heart Surgery Patients following Cardiopulmonary Bypass via the Way of WGCNA and Machine Learning … Webb7 okt. 2024 · Description. The extensive growth of technology and the predominance of Internet of Things (IoT) devices in the field of biomedical, transportation, industry, … WebbFigure 8: Identification of Inflammatory Gene in the Congenital Heart Surgery Patients following Cardiopulmonary Bypass via the Way of WGCNA and Machine Learning … grid waves in ocean

Statistical Machine Learning for Uncertainty Modelling in Energy ...

Advanced Machine Learning and Big Data Analytics with IoT …

WebbThe study designed a machine learning model for cardiovascular disease risk prediction in accordance with a dataset that contains 11 features which may be used to forecast the disease. The dataset from Kaggle on cardiovascular disease includes approximately 70,000 patient records that were used to determine the outcome. WebbHindawi grid washington dcWebb20 juni 2024 · machine learning model is lack of transparency which makes it impossible to evaluate the results of the model. To address this issue, explainable AI (XAI) is used … fierce women lmn

"Webb19 nov. 2024 · Machine learning/AI-based computer vision methods have been developed for the diagnosis of tumors and nodules appearing in different human organs using … " - Hindawi machine learning

Hindawi machine learning

Computational Intelligence and Neu Special I CALL FOR PAPERS

Webb29 juli 2024 · Machine learning includes deep learning (supervised and unsupervised deep learning) and traditional machine learning methods (such as support vector machine, random forest, decision tree et al.) have been consistently playing a significant role in the field of biomedical engineering research. WebbAs one of the most serious geological hazards, landslides affect infrastructure construction. Thus, it is vital to prepare reliable landslide susceptibility evaluation maps to avoid landslide-prone areas in construction projects. More studies on landslide susceptibility using machine learning have emerged in recent years, but there is a need to study …

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Webb24 dec. 2024 · machine learning approach to maintain the trade-oﬀ between the resource and energy consumption. This does not require CSI feedback from the users, … WebbThe aim of this Special Issue is to apply advanced machine learning approaches in processing data from multiple sensors. We hope to provide novel guidance for machine …

WebbMachine learning is the study of computational approaches for enhancing performance on a specific task through the process of learning. This article presents an … WebbIdentification of Inflammatory Gene in the Congenital Heart Surgery Patients following Cardiopulmonary Bypass via the Way of WGCNA and Machine Learning Algorithms …

Webb7 okt. 2024 · The effective management of this data initiates the need of machine learning algorithms and deep learning techniques for achieving insight, accurate decision … Webb22 mars 2024 · Machine Learning Technique for Precision Agriculture Applications in 5G-Based Internet of Things C. Murugamani,1 S. Shitharth,2 S. Hemalatha,3 Pravin R. …

Webb19 aug. 2024 · Machine learning/AI-based computer vision methods have been developed for diagnoses of tumours and nodules appearing in different human organs using image …

Webb19 mars 2024 · Recent advances of machine learning (especially, deep learning) make it possible to gain insight into big data and extract meaningful information, which has … fiercewolf.org gridway computingWebbMachine Learning Machine Learning Submission guidelines Submission guidelines Contents Instructions for Authors Editorial Procedure Manuscript submission Title Page Text LaTeX and Online Submission References Tables Artwork and Illustrations Guidelines Ethical Responsibilities of Authors Authorship principles Compliance with Ethical … gridway canvas shoesWebb13 jan. 2024 · Machine learning, the most promising technology in the field of artificial intelligence, is quickly becoming more pervasive in many fields. Its applications range … fierce women of faith incWebbIn general, the research on autonomous driving decision-making can be divided into rule-based, finite state machine-based, and machine learning-based methods. Rule-based methods are based on some predefined parameters that would tune the algorithm for a specific environment, in which the most representative ones are MOBIL [ 16 ] for lateral … fierce women\u0027s bible studyWebb18 juli 2024 · rule-based machine translation in use right now [12, 13]. Rules are more commonly used with other machine transla-tion approaches. It is possible to separate corpus-based machine translation approaches into instance-based machine translation methods, statistical machine transla-tion, and deep learning-based machine translation. gridway ottawaWebb3 okt. 2024 · Machine Learning, Deep Learning and Optimization Techniques for Heterogeneous Sensor Information Integration 2024 Hindawi Published Special … grid wealth