Essays about: "iterative algorithms"

Showing result 1 - 5 of 95 essays containing the words iterative algorithms.

  1. 1. Log Frequency Analysis for Anomaly Detection in Cloud Environments

    University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Author : Prathyusha Bendapudi; [2024]
    Keywords : Log Analysis; Log Frequency Patterns; anomaly detection; machine learning; cloud environments;

    Abstract : Background: Log analysis has been proven to be highly beneficial in monitoring system behaviour, detecting errors and anomalies, and predicting future trends in systems and applications. However, with continuous evolution of these systems and applications, the amount of log data generated on a timely basis is increasing rapidly. READ MORE

  3. 2. Effectiveness of Iterative Algorithms for Recovering Phase in the Presence of Noise for Coherent Diffractive Imaging

    University essay from Göteborgs universitet / Institutionen för fysik

    Author : Henry Wittler; [2023-11-29]
    Keywords : ;

    Abstract : Methods of coherent diffractive imaging (CDI) rely on iterative algorithms to reconstruct the complex exit-surface wave (ESW) of the object being imaged from the measured diffraction intensity only. In this thesis we investigate by simulation the artifacts on reconstruction when noise are present in the measurement. READ MORE

  4. 3. Point Cloud Registration using both Machine Learning and Non-learning Methods : with Data from a Photon-counting LIDAR Sensor

    University essay from Linköpings universitet/Datorseende

    Author : Maja Boström; [2023]
    Keywords : Point Cloud Registration; Machine Learning; Photon-counting LIDAR; Iterative Closest Point;

    Abstract : Point Cloud Registration with data measured from a photon-counting LIDAR sensor from a large distance (500 m - 1.5 km) is an expanding field. Data measuredfrom far is sparse and have low detail, which can make the registration processdifficult, and registering this type of data is fairly unexplored. READ MORE

  5. 4. 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

  6. 5. Scaling and distribution of Particle Swarm Optimization Algorithms on Microsoft Azure

    University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Author : Nikolaos Delis; [2023]
    Keywords : PSO; Optimization; Scaling; Parallelization; Azure Durable Functions;

    Abstract : Introduction. Particle Swarm Optimization (PSO) is a heavy-duty algorithm that is used to identify the optimum (maximum or minimum) solution of a formula with multiple unknown factors. PSO algorithms are used widely for various optimization problems, and all face the same challenge. READ MORE