Search Results - "singular value decomposition"

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    Computer and Information Science

    Published 2019
    Table of Contents: “…The Analysis of the Appropriateness of Information Education Curriculum Standard Model for Elementary School in Korea -- New Gene Selection Method Using Gene Expression Programing Approach on Microarray Data Sets -- A Novel Differential Selection Method based on Singular Value Decomposition Entropy for Solving Real-World Problems -- Power Consumption Aware Machine Learning Attack for Feed-Forward Arbiter PUF -- Adaptive Generative Initialisation in TransferLearning -- A Multicriteria Group Decision Making Approach for Evaluating Renewable Power Generation Sources -- Incremental Singular Value Decomposition Using Extended Power Method -- Personalized Landmark Recommendation for Language-specific Users by Open Data Mining -- Joint Radio Resource Allocation in LTE-A Relay Networks with Carrier Aggregation.…”
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    Hybrid Video Compression Standard by Bhojani, Dhaval R., Dwivedi, Vedvyas J., Thanki, Rohit M.

    Published 2020
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    Advances in Mechatronics, Manufacturing, and Mechanical Engineering Selected articles from MUCET 2019 /

    Published 2021
    Table of Contents: “…Surface Roughness Study On Mild Steel Under Multi Cooling Condition -- Experimental Study of Single Pass Welding Parameter Using Robotic Metal Inert Gas (MIG) welding Process -- Real and Complex Wavelet Transform Using Singular Value Decomposition for Malaysian Speaker and Accent Recognition.…”
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    Signal Waveform Extraction in the Presence of Regular and Random Noise

    Published 2014
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    Identification, Characterization, and Manipulation of Neuronal Ensembles

    Published 2025
    Table of Contents: “…Single-Neuron and Population Methods to Study the Circuit-Level Cortical Mechanisms of Multisensory Processing -- Detection of Cell Assemblies in High-Density Extracellular Electrophysiological Recordings -- A General and Accurate Method for Neuronal Ensemble Detection in Spiking Neural Networks -- Fast Neuronal Segmentation of Two-Photon Functional Imaging Recordings using CITE-On -- Identification of Neuronal Ensembles from Similarity Maps using Singular Value Decomposition -- Detection of Overlapping Neuronal Assemblies from Activity Recordings of Large Neuronal Populations by Means of Non-Orthogonal Low-Dimensional State Spaces -- Detecting Neural Assemblies through Similarity Graph Clustering -- Identifying Neuronal Ensembles: A Graph Theoretical Approach -- Dissecting Neural Population Dynamics: Elastic Net and Conditional Random Fields for Deciphering Functional Networks and Information Processing in Learning and Memory -- Analyzing Functional Neuronal Ensembles in a Between-Subjects Paradigm -- Tagging and Manipulation of Fear Engrams -- Molecular Analysis of Neural Networks: Methods for Identifying and Characterizing Gene Expression Patterns in Neuronal Ensembles.…”
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    International Conference on Innovative Computing and Communications Proceedings of ICICC 2021, Volume 3 /

    Published 2022
    Table of Contents: “…Multi-resolution video steganography technique based on Stationary wavelet transform (SWT) and Singular value decomposition (SVD) -- Chapter 16. A novel Dual Threshold Weighted Feature Detection for Spectrum Sensing in 5G systems -- Chapter 17. …”
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    Communication and Intelligent Systems Proceedings of ICCIS 2023, Volume 2 /

    Published 2024
    Table of Contents: “…Multilingual Speech Recognition: An In-depth Review of Applications, Challenges, and Future Directions -- Performance Evaluation of Job Shop Scheduling Problem using Proposed Hybrid of Black Hole and Firefly Algorithms -- Machine Learning and Healthcare: A Comprehensive Study -- Evolutionary Algorithms for Fibers Upgrade Sequence Problem on MB-EONs -- Exploring the Potential of Deep Learning Algorithms in Medical Image Processing: A Comprehensive Analysis -- Comparative Analysis of Image Enhancement Techniques: A Study on Combined and Individual Approaches -- Smishing: A SMS Phishing Detection Using Various Machine Learning Algorithms -- Convolution Neural Network (CNN) based Live Pig Weight estimation in Controlled Imaging Platform -- A Novel Image Encryption Technique based on DNA Theory and Chaotic Maps -- An Empirical Study on Comparison of Machine Learning Algorithms for Eye-State Classification using EEG data -- Decoding the UK's Stance on AI: A Deep Dive into Sentiment and Topics in Regulations -- Latest Trends on Satellite Image Segmentation -- Landmark detection using Convolutional Neural Network: A Review -- An Efficient Illumination Invariant Tiger Detection Framework for Wildlife Surveillance -- An Innovative Frequency -- Limited Interval Gramians-Based Model Order Reduction Method using Singular Value Decomposition.…”
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    Emerging Electronics and Automation Select Proceedings of E2A 2022 /

    Published 2024
    Table of Contents: “…A Computational Aspect to Analyse Impact of Nutritional Status on the Development of Cardiovascular Diseases -- Vernacular Language Handwriting Recognition using Deep Learning Techniques -- FPGA Implementation of Efficient Softmax Architecture for Deep Neural Networks -- Multi-stage and multi-objective dynamic optimization-based scheduling of uncertain hybrid renewable energy systems with real-time energy compensation -- Design of Regenerative Snubber Circuit for Motor Drivers -- Clustering based multi-objective stochastic optimization approach in scheduling optimal energy dispatch of multiple energy sources in the presence of uncertainty -- Unfalsified Adaptive Control of a Robotic System -- Semi-Active Control for Seismic Vibration Mitigation of Building System with Magnetorheological Damping Device -- Relative Ageing of Population and Subpopulations in Proportional Reversed Hazard Frailty Models -- Handwritten Word Recognition in English Language -- Digital Image Watermarking Using Integer Wavelet Transform and Singular Value Decomposition -- Effect of Shallow Learning Techniques and Feature Selection for Breast Cancer Detection -- Design and Development of a Optimized Fast Transformation Module (OpFTM) for GAN Accelerator with Computation Efficiency -- A Meta-heuristic Optimized-based Classification Intrusion Detection System for BoT-IoT -- Fusion Spectrogram for Sound Classification Using 2D Convolutional Neural Network -- Design and Implementation of Garbage Detection and Classification Using YOLO-V5 -- Simulations towards design of Matching Layer in Acoustic Emission Sensor -- Virtual Impedance Based Advanced Droop Control for Improved Dynamic Power Sharing in Islanded Microgrid -- A Parallel Signal Detector Approach for Detection of Human Activities Using Multiple Seismic Sensors -- Study of Dielectric Characteristics of Forsterite Based Medical Implant -- Performance Evaluation and Assessment of 100kW Grid Tied SPV System in Subtropical Climatic Conditions -- Analysis and Experimental Validation of SPWM and SVPWM Techniques on Two-level Three-phase VSI -- Performance Analysis of Fuzzy Logic with P&O MPPT for Grid Connected Solar PV System under Varying Solar Irradiance -- Switched-Boost-Modified Z-Source Inverter for Renewable Energy Application -- Vibration Energy Harvester using piezoelectric with truncated cone rectangular beam structure for low power applications.…”
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    Machine Learning and Granular Computing: A Synergistic Design Environment

    Published 2024
    Table of Contents: “…Granular Fuzzy Model with High Order Singular Values Decomposition and Hesitation Fuzzy Granularity -- 4. …”
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    The Use of Artificial Intelligence for Space Applications Workshop at the 2022 International Conference on Applied Intelligence and Informatics /

    Published 2023
    Table of Contents: “…SAR Image Formation: Conventional and AI-based approaches on Sentinel-1 Raw Products -- YOLO v4 Based Algorithm for Resident Space Object Detection and Tracking -- GPU@SAT: a general-purpose programmable accelerator for on board data processing and satellite autonomy -- Overview of Meta-Reinforcement Learning Methods for Autonomous Landing Guidance -- Satellite IoT for TT&C and Satellite Identification -- Hardware-in-the-loop simulations of future autonomous space systems aided by artificial intelligence -- Deep Reinforcement Learning for Pin-Point Autonomous Lunar Landing: Trajectory Recalculation for Obstacle Avoidance -- Imbalanced data handling for deep learning-based autonomous Crater Detection Algorithms in Terrain Relative Navigation -- Comparative Analysis of Reinforcement Learning Algorithms for Robust Interplanetary Trajectory Design -- Distribution Shift Metric for Performance Evaluation of Behavioral Cloning Applied to the Fuel-Optimal Landing Problem -- Fault Detection Exploiting Artificial Intelligence in Satellite Systems -- ISS Monocular Depth Estimation Via Deep Learning -- RobDT: AI-enhanced Digital Twins for Space Exploration Robotic Assets -- An Overview of X-TFC Applications for Aerospace Optimal Control Problems -- Innovative ML-based methods for automated on-board spacecraft anomaly detection -- Explainable AI with the Information Bottleneck Principle -- SINAV an ASI study of future AI applications on spatial rovers -- Deep Learning for Navigation of Small Satellites about Asteroids: an Introduction to the DeepNav Project -- Object recognition algorithms for the Didymos binary system -- Towards an explainable Artificial Intelligence approach for ships detection from satellite imagery -- Investigating Vision Transformers for Bridging Domain Gap in Satellite Pose Estimation -- Detection of Clouds and Cloud shadows on Sentinel-2 Data Using a CNN -- PRISMA Hyperspectral Image Segmentation with U-Net Convolutional Neural Network using Singular Value Decomposition for Mapping Mining Areas: preliminary results -- Earth Observation Big Data exploitation for water reservoirs continuous monitoring: the potential of Sentinel-2 data and HPC -- Retrieval of marine parameters from hyperspectral satellite data and machine learning methods -- Cooperative Lunar Site Preparation and Open Pit Resource Extraction Using Ground Robots -- Machine learning for SAR processing -- Canopy fire effects estimation using Sentinel-2 imagery and deep learning approach. …”
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    Riemannian Optimization and Its Applications by Sato, Hiroyuki

    Published 2021
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