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An improved collaborative filtering model based on time weighted correlation coefficient and inter-cluster separation
The recommendation system is a good choice to provide users with personalized services. Facing with a large amount of data, clustering technology can...
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Cluster Analysis of Separation of “Independent Objective” for Probability-Based Multi-objective Optimization
In the evaluation of the probability-based multi-objective optimization, the need of “independent response” of the multi-objective is necessary, and...
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Cluster Validity Measures for Fuzzy Two-Mode Clustering
Two-mode clustering consists in simultaneously partitioning rows (mode 1, e.g. objects) and columns (mode 2, e.g., variables) of a data matrix....
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Aerodynamics and Wake Flow Characteristics of a Four-Cylinder Cluster
The aerodynamic behaviour and wake flow of a cluster of two-dimensional sharp-edged bluff bodies exhibits extremely complex unsteady phenomena in...
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Single-Channel Blind Source Separation using Adaptive Mode Separation-Based Wavelet Transform and Density-Based Clustering with Sparse Reconstruction
In this paper, the problem of single-channel blind source separation (SCBSS) is addressed using a novel approach that combines the adaptive mode...
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White Blood Cell Separation and Blood Ty** Using a Spiral Microdevice
Our immune system is shielded from various pathogens by white blood cells (WBCs), which work as soldiers. WBCs reach the infectious site and kill the...
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Adaptive Separation Model for Electromagnetic Pulse Coupling Signals of Engine Digital Controllers
The engine digital controller is vulnerable to attacks of wide-spectrum and uncertain electromagnetic pulses (EMPs). To address this issue, herein,...
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High-throughput and simultaneous inertial separation of tumor cells and clusters from malignant effusions using spiral-contraction-expansion channels
Tumor cell clusters are regarded as critical factors in cancer pathophysiology, and increasing evidence of their higher treatment resistance and...
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Research on heart and lung sound separation method based on DAE–NMF–VMD
Auscultation is the most effective method for diagnosing cardiovascular and respiratory diseases. However, stethoscopes typically capture mixed...
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The heterogeneous population of granule cells contributes to pattern separation of the dentate gyrus neural network
The dentate gyrus (DG) is crucial for distinguishing similar events through pattern separation. It has been proposed that sparse firing granule cells...
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Combining core points and cluster-level semantic similarity for self-supervised clustering
Contrastive learning utilizes data augmentation to guide network training. This approach has attracted considerable attention for clustering, object...
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IDA: Improved dragonfly algorithm for load balanced cluster heads selection in wireless sensor networks
Efficient Energy Consumption and Network Lifetime are significant concerns in wireless sensor networks and allied disciplines. Clustering is one of...
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Fast monte-carlo clustering for signal separation of RFID collision tags at physical layer
In ultra-high frequency (UHF) radio frequency identification (RFID) systems, enhancing communication efficiency is crucial. This paper proposes a...
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Underdetermined Blind Source Separation Based on Spatial Estimation and Compressed Sensing
This paper proposes a dual-channel speech separation method based on spatial estimation via sparse Bayesian inference (SBI) and nonnegative matrix...
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Energy and Security-Aware Data Transmission in IoT: An Optimal Cluster Head Selection Approach with Spiral Chip Dynamics Optimizer (SCDO)
Cluster head (CH) selection is a critical function in Internet of Things (IoT) networks as it has a crucial role in determining the energy efficiency...
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Cluster-Based Energy-Efficient Routing in Internet of Things
Lot of improvements are taking place in the communication technology. The networks are becoming ubiquitous and pervasive. Devices connecting to the...
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Hybrid Multipath Routing Cluster head prediction based on SDN-enabled IoT and Heterogeneous context-aware graph convolution network
Intelligent technology and devices have affected nearly every aspect of human lives. The type of connection and means of communication among such a...
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Voice Separation Using Multi Learning on Squash-Norm Embedding Matrix and Mask
Recently, deep learning has achieved state-of-the-art performance for many fields e.g., image classification, action recognition, natural language...
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Dialogue Graphs: Enhancing Response Selection Through Target Node Separation
This paper proposes a new method called Target Node Separation to address the problem of accurately performing the response selection task in...
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Portable dielectrophoresis for biology: ADEPT facilitates cell trap**, separation, and interactions
Dielectrophoresis is a powerful and well-established technique that allows label-free, non-invasive manipulation of cells and particles by leveraging...
