Essays about: "Focusing algorithms"

Showing result 1 - 5 of 79 essays containing the words Focusing algorithms.

1. 1. Virtual H&E Staining Using PLS Microscopy and Neural Networks

   University essay from Lunds universitet/Matematik LTH

   Author : Sally Vizins; Hanna Råhnängen; [2024]
   Keywords : Deep learning; Virtual staining; Skin tissue; Hematoxylin Eosin; H E; Pathology; Carcinoma; Point light source illumination; Neural Networks; GANs; Generative adversarial networks; CNNs; Convolutional neural networks; Relativistic generative adversarial network; Unet; Digital microscopy; Attention-Unet; Dense-Unet; Mathematics and Statistics;

   Abstract : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. READ MORE

3. 2. A personalized quasi-passive ankleexoskeleton using human-in-the loop optimization approaches

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Ho Ming Kong; [2023]
   Keywords : ;

   Abstract : Passive ankle exoskeletons have been proven to successfully decrease muscle demand for walking. The movement of the user’s ankle drives a mechanical clutch and spring, which eventually stores and returns mechanical energy to the user. READ MORE

4. 3. GPU-Based Path Optimization Algorithm in High-Resolution Cost Map with Kinodynamic Constraints : Using Non-Reversible Parallel Tempering

   University essay from Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

   Author : Daniel Greenberg; [2023]
   Keywords : ;

   Abstract : This thesis introduces a GPU-accelerated algorithm for path planning under kinodynamic constraints, focusing on navigation of flying vehicles within a high-resolution cost map. The algorithm operates by creating dynamically feasible initial paths, and a non-reversible parallel tempering Markov chain Monte Carlo scheme to optimize the paths while adhering to the nonholonomic kinodynamical constraints. READ MORE

5. 4. Data-driven decisions in Sports

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Gabriel Garcia de Baquedano; [2023]
   Keywords : team sports; data analytics; artificial intelligence; decision making; Python programming language;

   Abstract : In recent years, many sectors such as insurance, banking, retail, etc. have adopted Big Data architectures to boost their business activities. Such tools not only suppose a greater profit for thesecompanies but also allow them to gain a better understanding of their customers and their needs. READ MORE

6. 5. A Conjugate Residual Solver with Kernel Fusion for massive MIMO Detection

   University essay from Högskolan i Halmstad/Centrum för forskning om tillämpade intelligenta system (CAISR)

   Author : Ioannis Broumas; [2023]
   Keywords : MIMO; massive MIMO; GPU; CUDA; Software Defined Radio; SDR; MMSE; ZF; zero-forcing; parallel detection; iterative methods; conjugate residual; parallel computing; kernel fusion;

   Abstract : This thesis presents a comparison of a GPU implementation of the Conjugate Residual method as a sequence of generic library kernels against implementations ofthe method with custom kernels to expose the performance gains of a keyoptimization strategy, kernel fusion, for memory-bound operations which is to makeefficient reuse of the processed data. For massive MIMO the iterative solver is to be employed at the linear detection stageto overcome the computational bottleneck of the matrix inversion required in theequalization process, which is 𝒪(𝑛3) for direct solvers. READ MORE