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Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex
Published 2022“…<p dir="ltr">Coronavirus Disease of 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has resulted in a massive health crisis across the globe, with some genetic variants gaining enhanced infectivity and competitive fitness, and thus significantly aggravating the global health concern. …”
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Correlation Clustering via s-Club Cluster Edge Deletion
Published 2023“…Cluster Editing, a known model for correlation clustering, has garnered significant consideration in the parameterized complexity area and has been utilized in a range of practical contexts. …”
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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
Published 2022“…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …”
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An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering
Published 2023“…With the advent of a new era and research into machine learning, tumor detection and segmentation generated significant interest in the research world. This research presents an efficient tumor detection and segmentation technique using an adaptive moving self-organizing map and Fuzzyk-mean clustering (AMSOM-FKM). …”
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RL-Based Adaptive UAV Swarm Formation and Clustering for Secure 6G Wireless Communications in Dynamic Dense Environments
Published 2024“…Our work introduces an adaptive UAV swarm formation and dynamic device clustering technique designed for efficient anti-jamming in dynamic multi-user clusters threatened by unknown jammers during critical public events. …”
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A clustering metaheuristic for large orienteering problems
Published 2022“…Motivated by these limitations, we propose a multi-stage clustering-based metaheuristic for tackling large Orienteering Problems in an effective, strategically controlled amount of computation time. …”
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Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique
Published 2024“…An efficient Cluster Based anonymity model has been proposed to anonymizes the 1:1 dataset with a single sensitive attribute through the introduction of a concept named “Semi-sensitive attribute.” …”
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Causes of Delay in Construction Projects in Oil and Gas Construction Industry
Published 2017“…Issues related to client performance included bureaucracy and late honouring of certificates. Secondary causes such as rework, the rate of productivity, dispute management and delay analysis were also found to have great significance. …”
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A new approach to record clustering for large databases. (c1997)
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Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations
Published 2022“…Here we propose a two-stage algorithm based on soft clustering to provide an efficient solution to this problem. …”
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Supply chain planning of vaccine and pharmaceutical clusters under uncertainty: The case of COVID-19
Published 2023“…The clustering technique reduced the size of the problem and the time required to solve the model considerably.…”
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Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burd...
Published 2021“…NMR and U5MR were generally higher in males than in females, although there was no statistically significant difference at the global level. Neonatal disorders remained the leading cause of death in children younger than 5 years in 2019, followed by lower respiratory infections, diarrhoeal diseases, congenital birth defects, and malaria. …”
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Investigating the Quality Combined Effect of Root Cause Analysis (RCA) in Quality Management in Manufacturing Firms
Published 2024“…Implementing a 6KV surge protector for higher-wattage lights significantly reduced defect rates by 0.5%. This improvement led to decreased warranty claims, cost reductions, and enhanced product longevity, ultimately reinforcing the company's commitment to delivering high-quality products that exceed the customer's expectations. …”
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Unsupervised knowledge representation of panoramic dental X-ray images using SVG image-and-object clustering
Published 2023“…We have created a labelled SVG dataset consisting of 22,553 objects from 750 images based on panoramic dental X-ray images. To our knowledge, it is the first significant dataset of labelled SVG objects and images, which we make available online as a benchmark for future research in this area. …”
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The effect of a patient centred care bundle intervention on pressure ulcer incidence (INTACT): A cluster randomised trial
Published 2016“…Results Four clusters were randomised to each group and 799 patients per group analysed. …”
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