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SAIF-Cnet: self-attention improved faster convolutional neural network for decentralized blockchain-based key management protocol
Internet of Things (IoT) devices are an essential part of several aspects of daily life for people. They are utilized in a variety of contexts,...
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Unsupervised clustering approach for recognizing residual stress and distortion patterns for different parts for directed energy deposition additive manufacturing
Data obtained from additive manufactured components can be analyzed to gain a better understanding of the manufacturing physics and to improve the...
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Fast Artificial Intelligence Detecting Climate Change Effects in Imaging Data
Satellite images display visual data relating to natural or urban landscapes. In the course of time, they reveal structural alterations therein that... -
Formulating GA-SOM as a Multivariate Clustering Tool for Managing Heterogeneity of Aquifers in Prediction of Groundwater Level Fluctuation by SVM Model
Multivariate cluster analysis suffers from subjectivity associated with selecting input parameters and the related weights known as “Priority Rates”...
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Diabetes Detection by Data Mining Methods
Globally, Diabetic mellitus (DM) is the most common chronic health problem worldwide. It elevates the blood glucose levels in patients, resulting in...
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CCMBO: a covariance-based clustered monarch butterfly algorithm for optimization problems
Rotationally variance nature-inspired algorithms are not efficient for solving non-separable problems. One way for solving this limitation is...
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Study of RNN with Its CNN-Based Hybridization for Temporal Remote Sensing Data Processing to Map Rabi Crops
Two widely used deep learning architectures are Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs) that have demonstrated... -
Adaptation of Fuzzy Inference System Using Neural Learning
The integration of neural networks and fuzzy inference systems could be formulated into three main categories: cooperative, concurrent and integrated... -
Soft computing-based feature extraction method of abnormal communications in Blockchain-based healthcare systems
With the advent of pervasive, dependable, and near-instant wireless connectivity for humans and machines, Blockchain technology is serving as the...
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A proficient technique for recognizing the online digital signature in Project Registration System (PRS)
In recent education system, project submission is crucial for college students to complete their respective studies. The understudies needed to...
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OFExplorer: multi-facetted visual analysis of ocean front
AbstractWe present a novel integrated visualization system that enables interactive visual analysis of sea-surface temperature fronts near China sea....
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Visualizing Academic Experts on a Subject Domain Map of Cartographic-Alike
Visualizing bibliographic information aids academician users to gain insights into science map**, and then to define the next research plans. This... -
Abnormal Behaviour Detection in Smart Home Environments
The study of user behaviour patterns in activities of daily living is significantly challenging due to the ambiguity in identifying a usual and... -
Progressive Clustering and Characterization of Increasingly Higher Dimensional Datasets with Living Self-organizing Maps
Long-lived consortiums in genomics generate massive highly-dimensional datasets over the course of many months or years with substantial blocks of... -
Large language models and unsupervised feature learning: implications for log analysis
Log file analysis is increasingly being addressed through the use of large language models (LLM). LLM provides the mechanism for discovering...
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Efficient Wastewater Treatment Optimisation with Solow-Polasky-JAYA Algorithm and Self-Organising Fuzzy Sliding Mode Control
This article introduces an innovative strategy for optimising wastewater treatment by integrating a fuzzy sliding mode controller (FSMC),...
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Classification of Landsat 8 Imagery Using Kohonen’s Self Organizing Maps and Learning Vector Quantization
Image classification is the most commonly employed technique for extricating land cover report from remotely sensed images. In the last two decades,... -
Identification of problems in picture archiving and communication systems management using text mining
ObjectiveThe purpose of this study was to identify the problems needing attention in PACS operation related to attributes of medical facilities.
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Application of Clustering and SOM Analysis for Identification of Conveyor Belt Damage Based on Data from the Diagbelt + Magnetic System
The article presents the application of two unsupervised learning methods, clustering and SOM (self-organizing maps) analysis, for grou** failures... -
A medical decision support system for predicting the severity level of COVID-19
The main assay tool of COVID-19, as a pandemic, still has significant faults. To ameliorate the current situation, all facilities and tools in this...