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Research on Hybrid Encryption of Cross Border E-commerce Transaction Information Based on B+ Search Tree Algorithm
In order to solve the problem of low security existing in the traditional information hybrid encryption method, a cross border e-commerce transaction...
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MCMSTClustering: defining non-spherical clusters by using minimum spanning tree over KD-tree-based micro-clusters
Clustering is a technique for statistical data analysis and is widely used in many areas where class labels are not available. Major problems related...
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Up Sampling Data in Bagging Tree Classification and Regression Decision Tree Method for Dengue Shock Syndrome Detection
Dengue virus, DENV, is the cause of dengue fever and carries the risk of develo** dengue hemorrhagic fever and dengue shock syndrome (DSS), which...
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A survey on hybrid transactional and analytical processing
To provide applications with the ability to analyze fresh data and eliminate the time-consuming ETL workflow, hybrid transactional and analytical...
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A homogenous forecast model based on the hybrid imputation method for forecasting national patent application numbers
Technological innovation is the key solution to promoting economic growth and improving quality of living. The number of patent applications in...
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Forecasting PM2.5 Concentration Using Gradient-Boosted Regression Tree with CNN Learning Model
AbstractAir pollution imposed by particle matter (PM) made it a public health concern and hazard to humans and the environment. Reduced vision,...
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A hybrid machine learning model for skin disease classification using discrete wavelet transform and gray level co-occurrence matrix (GLCM)
Skin conditions are widespread health issues in the world. The dangers of infections are hidden and may lead to mental depression and physical health...
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Mining frequent Itemsets from transaction databases using hybrid switching framework
With the growing volume of data, mining Frequent Itemsets remains of paramount importance. These have applications in various domains such as market...
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Banyan tree growth optimization and application
In the era of big data, the number of science and technology service resources has proliferated, and the integration and clustering of science and...
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Detection of brain tumour in multi-modality images using hybrid features
Brain is recognized as a focal part of nervous system and it is inflated by tumour. Therefore the lifespan among humans gets diminished. The anatomy...
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A novel hybrid deep learning model for early stage diabetes risk prediction
Diabetes is a prevalent global disease that significantly diminishes the quality of life and can even lead to fatalities due to its complications....
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Half-Tree: Halving the Cost of Tree Expansion in COT and DPF
GGM tree is widely used in the design of correlated oblivious transfer (COT), subfield vector oblivious linear evaluation (sVOLE), distributed point...
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An Effective Denoising Method for the Point Cloud of Trees Based on the Hybrid Filtering Scheme
AbstractThe point cloud-based 3D reconstruction techniques have been widely used in the tree phenotype monitoring, and the data denoising is the...
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A Two-Level Hybrid Based Genetic Algorithm to Solve the Clustered Shortest-Path Tree Problem Using the Prüfer Code
The clustered shortest-path tree (CluSPT) problem is a generalization of the popular shortest path problem, in which, given a graph with the set of...
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Hybrid CNN and LSTM Network For Heart Disease Prediction
Cardiovascular disease/heart disease is one of the chronic diseases prevailing across the world. Prediction of heart disease in an efficient and in a...
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Prediction of underground metro train-induced ground vibration using hybrid PSO-ANN approach
The soil conditions substantially influence the intensity of underground metro train-induced ground vibration. However, assessing the influence of...
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A vision-based hybrid ensemble learning approach for classification of gait disorders
Computer vision-based (VB) gait analysis has become the popular platform for detecting Knee Osteoarthritis (KOA) and Parkinson’s disease (PD). The...
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Video shot boundary detection using hybrid dual tree complex wavelet transform with Walsh Hadamard transform
Shot boundary detection (SBD) is the initial process in the video analysis, indexing, summarization, and retrieval. Detection of correct transition...
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Empowering Resource-Constrained IoT Edge Devices: A Hybrid Approach for Edge Data Analysis
The efficient development of accurate machine learning (ML) models for Internet of Things (IoT) edge devices is crucial for enabling intelligent...
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HATree: A Hotness-Aware Tree Index with In-Node Hotspot Cache for NVM/DRAM-Based Hybrid Memory Architecture
The emerging of Non-Volatile Memory (NVM) has changed the traditional DRAM-only memory system. Compared to DRAM, NVM has the advantages of...