LHU-Net: A Light Hybrid U-Net for Cost-efficient, High-performance Volumetric Medical Image Segmentation
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Updated
Apr 15, 2024 - Python
LHU-Net: A Light Hybrid U-Net for Cost-efficient, High-performance Volumetric Medical Image Segmentation
Optimal Network Planner is a tool for optimizing wireless network coverage using clustering and path planning algorithms. By analyzing signal strength data, it identifies key nodes that maximize network coverage and determines the shortest path to cover these areas efficiently. This project helps ensure the strongest network with minimal area.
Repository to document my Doctoral (Computer Science) Research
Enhance the performance and cost-efficiency of large-scale Retrieval Augmented Generation (RAG) applications. Learn to integrate vector search with traditional database operations and apply techniques like prefiltering, postfiltering, projection, and prompt compression.
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