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A feature weighted K-nearest neighbor algorithm based on association rules
K-nearest neighbors (kNN) is a popular machine learning algorithm because of its clarity, simplicity, and efficacy. kNN has numerous drawbacks,...
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Non-parametric Nearest Neighbor Classification Based on Global Variance Difference
As technology improves, how to extract information from vast datasets is becoming more urgent. As is well known, k-nearest neighbor classifiers are...
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A Positive Sample Enhancement Algorithm with Fuzzy Nearest Neighbor Hybridization for Imbalance Data
The class imbalance problem is one of the critical research areas of machine learning and deep learning and has received widespread attention from...
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Unconstrained neighbor selection for minimum reconstruction error-based K-NN classifiers
It is essential to define more convincing and applicable classifiers for small datasets. In this paper, a minimum reconstruction error-based...
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WBNN: a weight-based next neighbor selection algorithm for wireless body area network
Wireless body area networks (WBANs) play a pivotal role in monitoring body movements and collecting crucial health metrics such as blood pressure,...
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Student performance prediction employing k-Nearest Neighbor Classification model and meta-heuristic algorithms
The precision of predicting student performance in Mathematics is pivotal for educational advancement, relying heavily on advanced machine learning...
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Neighbor Coverage and Bandwidth Aware Multiple Disjoint Path Discovery in Wireless Mesh Networks
With the ease of appending new nodes without re-installing the whole network, the Internet of Things (IoT) builds several smart applications on...
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Unification of K-Nearest Neighbor (KNN) with Distance Aware Algorithm for Intrusion Detection in Evolving Networks Like IoT
The Internet of Things and cyber physical systems are emerging networks that enable several additional layers of services to improve various facets...
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Bearing Fault Identification of Augmented Grayscaled Textured Images Using K-Nearest Neighbor
Bearings are the most commonly used components in rotating machinery, and hence, bearing faults may result in significant breakdowns and even...
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An Improved Multi-dimensional Weighted K-nearest Neighbor Indoor Location Algorithm
Aiming at the defects of low positioning accuracy and poor stability of the traditional WiFi location fingerprint indoor positioning method based on...
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Misalignment Detection of Rotating Machine Shaft Using Artificial Neural Network and t-Distributed Stochastic Neighbor Embedding Classification Technique
Rotating machinery is an important component in many critical systems, so it is vital to carry out its fault diagnosis for the reliable and safe...
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Classifying Electrical Faults in a Distribution System Using K-Nearest Neighbor (KNN) Model in Presence of Multiple Distributed Generators
The vulnerability of distribution systems to frequent fault occurrences creates considerable issues, particularly when distributed generators (DG)...
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Pneumonia Chest X-ray Classification Using Support Vector Machine
Pneumonia is one of the major infectious diseases across the world. The infection originates at the alveoli of the lungs and affects the entire...
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Prediction of Jowar Crop Yield Using K-Nearest Neighbor and Support Vector Machine Algorithms
This paper describes the machine learning strategies to the crop yield prediction in agriculture. Agriculture is the important occupation in India....
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KLT-CRKCN: Hyperspectral Image Classification via Karhunen Loeve Transformation and Collaborative Representation-Based K Closest Neighbor
Collaborative representation-based classification is extensively used in numerous application fields for e.g. hyperspectral image and face...
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Optimized Tour Planning System Using Nearest Neighbor Algorithm
Tour planner aims to enhance travel experiences by providing optimized and personalized itineraries for tourists. The planner utilizes various...
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Ramp loss KNN-weighted multi-class twin support vector machine
The K-nearest neighbor-weighted multi-class twin support vector machine (KWMTSVM) is an effective multi-classification algorithm which utilizes the...
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NSMTSEP: Neighbor Supported Modified Threshold Sensitive Stable Election Protocol for WSN
The way by which we select a cluster head critically affects the overall futuristic structure in the network. Cluster head wastes more energy for...
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A Car-Following Model Considering the Next-Nearest-Neighbor Interaction of Electronic Throttle Information
Aiming at the problem that the nearest preceding car of the considered vehicle may leave the current lane and cause the latter to lose track...
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A generalized fuzzy k-nearest neighbor regression model based on Minkowski distance
The fuzzy k-nearest neighbor (FKNN) algorithm, one of the most well-known and effective supervised learning techniques, has often been used in data...
