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An Improved Quantum Nearest-Neighbor Algorithm
With the development of machine learning step** into a bottleneck period, quantum machine learning has become a new popular research direction....
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A Comparative Study of AdaBoost and K-Nearest Neighbor Regressors for the Prediction of Compressive Strength of Ultra-High Performance Concrete
One of the most promising materials for concrete buildings is ultra-high-performance concrete (UHPC). Traditional UHPC compositions include...
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K-Nearest Neighbor and Collaborative Filtering-Based Movie Recommendation System
Over the past several years, the recommendation system has become one of the important aspects in our day to day life. Recommendation systems are...
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Novel Ensemble Method Based on Improved k-nearest Neighbor and Gaussian Naive Bayes for Intrusion Detection System
The frequent occurrence of network intrusion events poses a challenge to the performance of intrusion detection systems. Generally, these events...
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Fuzzy knowledge based intelligent decision support system for ground based air defence
This research proposes an Intelligent Decision Support System for Ground-Based Air Defense (GBAD) environments, which consist of Defended Assets (DA)...
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Internet-of-things based machine learning enabled medical decision support system for prediction of health issues
PurposeThe main purpose of this paper is to develop and test internet of things (IoT) based physiological parameters monitoring system. This system...
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RESILIENT SPACE SUPPORT TO UNITED STATES NAVAL OPERATIONS
The Arctic Circle is quickly changing. In very recent years, the relatively rapid melt of ice has allowed unprecedented naval access to and through...
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Leveraging Quantum Kernel Support Vector Machine for breast cancer diagnosis from Digital Breast Tomosynthesis images
Quantum computing, an incredibly emerging technology, provides unique advantages that seamlessly address challenges posed by big data through...
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Integrating K-Means Clustering and Levenshtein Distance and K-Nearest Neighbor Algorithms for Enhanced Arabic Sentiment Analysis
Arabic sentiment analysis (ASA) is a challenging field due to the complexity of the Arabic language. Although there have been some studies on ASA,...
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Chronos-v: a many-core high-level model with support for management techniques
This work presents Chronos-V , a Many-Core System-on-Chip (MCSoC) that adopts abstract hardware modeling, executing the FreeRTOS Operating System (OS)...
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Early Prediction and Detection of Anxiety Level Using Support Vector Machine
According to the National Library of Medicine, anxiety is a physiological and behavioral status induced in humans by an intimidation to interests or...
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Review of state-of-the-art research on the design and manufacturing of support structures for powder-bed fusion additive manufacturing
The use of support structures is an essential requirement for powder-bed fusion additive manufacturing (AM) processes. Supports are responsible for...
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A method for support stiffness failure identification in a steel spring floating slab track of urban railway: a case study in China
The extensive use of steel spring floating slab tracks has effectively addressed the challenge of alleviating the environmental vibrations induced by...
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Software defect prediction model based on improved twin support vector machines
Software defect prediction contributes to ensuring the quality of software development and reducing software maintenance costs. However, the class...
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Geological Domaining with Unsupervised Clustering and Ensemble Support Vector Classification
Building a geological model is important in resource estimation, as it defines the extent of domains for estimation. Geological models are built by...
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The Impact of the k-Nearest Neighbor Parameters in Collaborative Filtering Recommender Systems
Recommender Systems (RS) have become very important recently, they are a main component of many applications in different fields. They aim to give...
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Decision Support System for the Prediction of Mine Fire Levels in Underground Coal Mining Using Machine Learning Approaches
Mine’s fire evaluation is of broad significance for underground engineering structures, as the mine fires are one of the largest fatal accidents...
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Robust contact-constrained topology optimization considering uncertainty at the contact support
In this paper, the general framework for contact-constrained topology optimization of Strömberg and Klarbring (
2010 ) is extended to robust topology...
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Prediction of the Geographical Origin of Soils Using Ultra-Performance Liquid Chromatography (UPLC) Fingerprinting and K-Nearest Neighbor (K-NN)
Machine learning methods have scarcely been applied in forensic soil analysis. In this work, an ultra-performance liquid chromatography technique was...
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An Analysis of Computational Complexity and Accuracy of Two Supervised Machine Learning Algorithms—K-Nearest Neighbor and Support Vector Machine
K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) are the two Supervised Machine Learning Algorithms which have been used extensively in...