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Optimizing B+-tree for hybrid memory with in-node hotspot cache and eADR awareness
The advance in Non-Volatile Memory (NVM) has changed the traditional DRAM-only memory system. Compared to DRAM, NVM has the advantages of...
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Hybrid Tree Visualizations for Analysis of Gerrymandering
In the United States, congressional redistricting follows a decennial Census. Gerrymandering can result from selection of district lines regardless...
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Secure and efficient public auditing system of user data using hybrid AES-ECC crypto system with Merkle hash tree in blockchain
Data auditing permits data owners to confirm the reliability of their personal information without obtaining it from an unsafe cloud. Advertising...
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Hybrid Tree Automata and the Yield Theorem for Constituent Tree Automata
We introduce an automaton model for recognizing sets of hybrid trees, the hybrid tree automaton (HTA). Special cases of hybrid trees are constituent...
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HyTEA: Hybrid Tree Evolutionary Algorithm
Hearing Loss affects an ever-growing number of people of all ages. It can occur due to a multitude of sources such as genetics, diseases, ageing, or...
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An adaptive hybrid african vultures-aquila optimizer with Xgb-Tree algorithm for fake news detection
Online platforms and social networking have increased in the contemporary years. They are now a major news source worldwide, leading to the online...
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A Hybrid Steady-State Genetic Algorithm for the Minimum Conflict Spanning Tree Problem
This paper studies a hybrid approach for the minimum conflict spanning tree (MCST) problem, where the MCST problem deals with finding a spanning tree...
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A Hybrid Approach Using Decision Tree and Multiple Linear Regression for Predicting Students’ Performance Based on Learning Progress and Behavior
Analyzing factors related to learning progress such as coursework scores, how many times students were occasion, plagiarism or failure, and time...
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An efficient counter-based Wallace-tree multiplier with a hybrid full adder core for image blending
We present a new counter-based Wallace-tree (CBW) 8×8 multiplier. The multiplier’s counters are implemented with a new hybrid full adder (FA) cell,...
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A hybrid technique using minimal spanning tree and analytic hierarchical process to prioritize functional requirements for parallel software development
Software for large enterprises such as the enterprise resource planning (ERP) is more likely to be developed by a team of software developers where...
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Merkle tree-blockchain-assisted privacy preservation of electronic medical records on offering medical data protection through hybrid heuristic algorithm
A growing number of medical records are changed by the electronic folders that can be shared and transmitted in real-time in recent years as a result...
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ECG beat classification using proposed pattern adaptive wavelet-based hybrid classifiers
In this paper, we have proposed a Pattern adaptive wavelet-based hybrid approaches for classification of arrhythmia beats. The main aim is to...
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A Hybrid Method of K-Nearest Neighbors with Decision Tree for Water Quality Classification in Aquaculture
Water is a main factor in aquaculture, its quality plays an important role in fish farming management. The non-linearity, dynamics and non-stability...
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HyR-tree: a spatial index for hybrid flash/3D XPoint storage
Flash-based SSDs have become well established in the storage market, replacing magnetic disks in both enterprise and consumer computer systems. The...
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DiGTreeS: a distributed resilient framework for generalized tree search
Exact combinatorial search algorithms have applications in several areas of computational algebra, AI, discrete optimization, etc. These problems are...
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Hybrid intelligent feature selector framework for darknet traffic classification
With the rapid growth in the internet traffic, analysis and exploration of traffic classification has become more challenging task especially for...
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Fair tree classifier using strong demographic parity
When dealing with sensitive data in automated data-driven decision-making, an important concern is to learn predictors with high performance towards...
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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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Improved gradient boosting hybrid spectrum sharing and actor critic channel allocation in 6G CR-IOT
The fast advancement of wireless communication technology and the growth in the reputation of Internet of Things (IoT) applications have led to the...
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Spatial indexing and searching using parallel wavelet tree
Fast retrieval through indexing from spatial databases has been considered a more challenging task for enhancing network performance in the last few...
