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Mapping Neural Networks to FPGA-Based IoT Devices for Ultra-Low Latency Processing

Sensors (Basel, Switzerland), 2019-07, Vol.19 (13), p.2981

2019

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How Does Super-Resolution for Satellite Imagery Affect Different Types of Land Cover? Sentinel-2 Case

IEEE journal of selected topics in applied earth observations and remote sensing, 2024, Vol.17, p.340-363

2024

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Point2Tree(P2T)—Framework for Parameter Tuning of Semantic and Instance Segmentation Used with Mobile Laser Scanning Data in Coniferous Forest

Remote sensing (Basel, Switzerland), 2023-08, Vol.15 (15), p.3737

2023

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Protection of Superconducting Industrial Machinery Using RNN-Based Anomaly Detection for Implementation in Smart Sensor

Sensors (Basel, Switzerland), 2018-11, Vol.18 (11), p.3933

2018

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Predictive Maintenance of Induction Motors Using Ultra-Low Power Wireless Sensors and Compressed Recurrent Neural Networks

IEEE access, 2019, Vol.7, p.178891-178902

2019

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The effect of drying temperature on the properties of gelatin from carps (Cyprinus carpio) skin

Czech Journal of Food Sciences, 2019-01, Vol.37 (4), p.246-251

2019

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Using Super-Resolution for Enhancing Visual Perception and Segmentation Performance in Veterinary Cytology

Life (Basel, Switzerland), 2024-02, Vol.14 (3), p.321

2024

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Fast Pre-Diagnosis of Neoplastic Changes in Cytology Images Using Machine Learning

Applied sciences, 2021-08, Vol.11 (16), p.7181

2021

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Using Spatial Pooler of Hierarchical Temporal Memory for object classification in noisy video streams

Annals of Computer Science and Information Systems, 2016, Vol.8, p.271-274

2016

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Using LSTM recurrent neural networks for monitoring the LHC superconducting magnets

Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 2017-09, Vol.867, p.40-50

2017

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SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data

Remote sensing of environment, 2024-11, Vol.313, Article 114367

2024

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Highly Efficient Structure of 64-Bit Exponential Function Implemented in FPGAs

Reconfigurable Computing: Architectures, Tools and Applications, p.274-279

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Automated forest inventory: Analysis of high-density airborne LiDAR point clouds with 3D deep learning

Remote sensing of environment, 2024-05, Vol.305, p.114078, Article 114078

2024

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Using Spatial Pooler of Hierarchical Temporal Memory to classify noisy videos with predefined complexity

Neurocomputing (Amsterdam), 2017-05, Vol.240, p.84-97

2017

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Comparison of Hybrid Sorting Algorithms Implemented on Different Parallel Hardware Platforms

Computer science : annual of University of Mining and Metallurgy, 2013, Vol.14 (4), p.679

2013

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The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantization

Engineering applications of artificial intelligence, 2018-09, Vol.74, p.166-185

2018

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Retrain or Not Retrain? - Efficient Pruning Methods of Deep CNN Networks

Computational Science – ICCS 2020, 2020, p.452-463

2020

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OpenCL-Accelerated Object Classification in Video Streams using Spatial Pooler of Hierarchical Temporal Memory

International journal of advanced computer science & applications, 2017-01, Vol.8 (2)

2017

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Methodologies of Compressing a Stable Performance Convolutional Neural Networks in Image Classification

Neural processing letters, 2020-02, Vol.51 (1), p.105-127

2020

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Recurrent Neural Networks with Grid Data Quantization for Modeling LHC Superconducting Magnets Behavior

Information Technology, Systems Research, and Computational Physics, p.177-190

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Compression of Convolutional Neural Network for Natural Language Processing

Computer Science, 2020-01, Vol.21 (1)

2020

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NLP Semi-supervised PU Learning with Reduced Number of Labeled Examples

Advances in Information and Communication, 2021, p.799-812

2021

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Formal Analysis of HTM Spatial Pooler Performance Under Predefined Operation Conditions

Rough Sets, p.396-405

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Computation Acceleration On Sgi Rasc: Fpga Based Reconfigurable Computing Hardware

Computer science : annual of University of Mining and Metallurgy, 2008-01, Vol.9, p.21

2008

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Mapping Neural Networks to FPGA-Based IoT Devices for Ultra-Low Latency Processing

How Does Super-Resolution for Satellite Imagery Affect Different Types of Land Cover? Sentinel-2 Case

Point2Tree(P2T)—Framework for Parameter Tuning of Semantic and Instance Segmentation Used with Mobile Laser Scanning Data in Coniferous Forest

Protection of Superconducting Industrial Machinery Using RNN-Based Anomaly Detection for Implementation in Smart Sensor

Predictive Maintenance of Induction Motors Using Ultra-Low Power Wireless Sensors and Compressed Recurrent Neural Networks

The effect of drying temperature on the properties of gelatin from carps (Cyprinus carpio) skin

Using Super-Resolution for Enhancing Visual Perception and Segmentation Performance in Veterinary Cytology

Fast Pre-Diagnosis of Neoplastic Changes in Cytology Images Using Machine Learning

Using Spatial Pooler of Hierarchical Temporal Memory for object classification in noisy video streams

Using LSTM recurrent neural networks for monitoring the LHC superconducting magnets

SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data

Highly Efficient Structure of 64-Bit Exponential Function Implemented in FPGAs

Automated forest inventory: Analysis of high-density airborne LiDAR point clouds with 3D deep learning

Using Spatial Pooler of Hierarchical Temporal Memory to classify noisy videos with predefined complexity

Comparison of Hybrid Sorting Algorithms Implemented on Different Parallel Hardware Platforms

The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantization

Retrain or Not Retrain? - Efficient Pruning Methods of Deep CNN Networks

OpenCL-Accelerated Object Classification in Video Streams using Spatial Pooler of Hierarchical Temporal Memory

Methodologies of Compressing a Stable Performance Convolutional Neural Networks in Image Classification

Recurrent Neural Networks with Grid Data Quantization for Modeling LHC Superconducting Magnets Behavior

Roadmap on artificial intelligence and big data techniques for superconductivity

Compression of Convolutional Neural Network for Natural Language Processing

NLP Semi-supervised PU Learning with Reduced Number of Labeled Examples

Formal Analysis of HTM Spatial Pooler Performance Under Predefined Operation Conditions

Computation Acceleration On Sgi Rasc: Fpga Based Reconfigurable Computing Hardware

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