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Detection and classification of hypertensive retinopathy based on retinal image analysis using a deep learning approach
Published 2025-01-01“…These gap factors make the research on hypertensive retinopathy urgent since it requires an early detection model to improve treatment accuracy and prevent heart attacks and strokes before they happen. …”
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Portable immuno nano biosensor for multiple disease detection using 3D printed SPR technologies
Published 2023-01-01“…The sensor showed the highest sensitivity at 50X concentration of antigen and least at 10x concentration stating maximum and minimum values for a limit of detection. This device using this principle could has wide functionalities to detect multiple biological samples by changing the antibodies to our respective analyte over the reaction chip for multiple times with low cost.…”
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Mid-Water Ocean Current Field Estimation Using Radial Basis Functions Based on Multibeam Bathymetric Survey Data for AUV Navigation
Published 2025-04-01“…This makes unknown ocean currents a significant error source that leads to substantial cumulative positioning errors. …”
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Prob-sparse self-attention extraction of time-aligned dynamic functional connectivity for ASD diagnosis
Published 2025-01-01Get full text
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Fuzzy-Based Novel Cross-Layer RPL Objective Function for Energy-Aware Routing in IoT
Published 2025-07-01“…Abstract Energy consumption remains a critical challenge for low-power, resource-constrained Internet of Things (IoT) devices operating over Low-Power and Lossy Networks (LLNs). …”
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5G network slicing function migration mechanism based on particle swarm optimization algorithm
Published 2018-08-01“…In multi-application scenarios of 5G,data traffic often increases dramatically.Virtual machine resources in network slicing may not meet the normal needs of users.In view of this,a network slicing function migration mechanism aiming at load balancing was proposed.The mechanism simulates the virtual machine into particles based on particle swarm optimization algorithm.In the process of migration,all particles were divided into several subgroups,and particle swarm optimization algorithm was applied within and among groups.According to the historical optimal solution and the current global optimal solution,the particle location was updated,and the best target particles were determined by selecting the smaller particle size of the particle in real time.The mechanism not only improves the convergence speed,but also improves the accuracy of the algorithm.Compared with other migration methods,the results show that the proposed migration mechanism has the advantages of high accuracy and fast convergence.And it can also improve the efficiency of resource utilization,reduce the energy consumption of data center,and has better adaptability.…”
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Shelf-Life Evaluation of a Novel Functional Product from a Blend of Powdered Vegetables
Published 2023-06-01“… Perishable fresh vegetables that do not meet cosmetic standards and other crop waste rich resources are presently wasted. Mangifera indica leaves, Psidium guajava leaves, Petroselinum crispum leaves and Daucus carota were selected as model vegetables to show that they can be converted into a shelf-stable novel functional powdered product. …”
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