Search Results - "WOZNIAK, Marcin"

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  1. 1

    A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases by Dhaka, Vijaypal Singh, Meena, Sangeeta Vaibhav, Rani, Geeta, Sinwar, Deepak, Kavita, Kavita, Ijaz, Muhammad Fazal, Woźniak, Marcin

    Published in Sensors (Basel, Switzerland) (12-07-2021)
    “…In the modern era, deep learning techniques have emerged as powerful tools in image recognition. Convolutional Neural Networks, one of the deep learning tools,…”
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  2. 2

    IoT and Interpretable Machine Learning Based Framework for Disease Prediction in Pearl Millet by Kundu, Nidhi, Rani, Geeta, Dhaka, Vijaypal Singh, Gupta, Kalpit, Nayak, Siddaiah Chandra, Verma, Sahil, Ijaz, Muhammad Fazal, Woźniak, Marcin

    Published in Sensors (Basel, Switzerland) (09-08-2021)
    “…Decrease in crop yield and degradation in product quality due to plant diseases such as rust and blast in pearl millet is the cause of concern for farmers and…”
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  3. 3

    Lightweight Convolutional Neural Network Model for Human Face Detection in Risk Situations by Wieczorek, Michal, Silka, Jakub, Wozniak, Marcin, Garg, Sahil, Hassan, Mohammad Mehedi

    “…In this article, we propose a model of face detection in risk situations to help rescue teams speed up the search of people who might need help. The proposed…”
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  4. 4

    Body Pose Prediction Based on Motion Sensor Data and Recurrent Neural Network by Wozniak, Marcin, Wieczorek, Michal, Silka, Jakub, Polap, Dawid

    “…Mixed reality environments give better chances to provide constant help to the people in need. Applied there artificial intelligence models will provide ad hoc…”
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  5. 5

    Spatial matching on the urban labor market: estimates with unique micro data by Wozniak, Marcin

    “…In the paper, we investigate spatial relationship on the labor market of Pozna´n agglomeration (Poland) with unique data on job vacancies. We have developed…”
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  6. 6

    An Intelligent System for Monitoring Skin Diseases by Połap, Dawid, Winnicka, Alicja, Serwata, Kalina, Kęsik, Karolina, Woźniak, Marcin

    Published in Sensors (Basel, Switzerland) (04-08-2018)
    “…The practical increase of interest in intelligent technologies has caused a rapid development of all activities in terms of sensors and automatic mechanisms…”
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  7. 7

    Role of kinesin-1 and cytoplasmic dynein in endoplasmic reticulum movement in VERO cells by Woźniak, Marcin J, Bola, Becky, Brownhill, Kim, Yang, Yen-Ching, Levakova, Vesselina, Allan, Victoria J

    Published in Journal of cell science (15-06-2009)
    “…Generating the extended endoplasmic reticulum (ER) network depends on microtubules, which act as tracks for motor-driven ER tubule movement, generate the force…”
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  8. 8

    Body Mass Index and Mortality Among Adults Undergoing Cardiac Surgery: A Nationwide Study With a Systematic Review and Meta-Analysis by Mariscalco, Giovanni, Wozniak, Marcin J, Dawson, Alan G, Serraino, Giuseppe F, Porter, Richard, Nath, Mintu, Klersy, Catherine, Kumar, Tracy, Murphy, Gavin J

    Published in Circulation (New York, N.Y.) (28-02-2017)
    “…BACKGROUND:In an apparent paradox, morbidity and mortality are lower in obese patients undergoing cardiac surgery, although the nature of this association is…”
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  9. 9

    Real-time neural network based predictor for cov19 virus spread by Wieczorek, Michał, Siłka, Jakub, Połap, Dawid, Woźniak, Marcin, Damaševičius, Robertas

    Published in PloS one (17-12-2020)
    “…Since the epidemic outbreak in early months of 2020 the spread of COVID-19 has grown rapidly in most countries and regions across the World. Because of that,…”
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  10. 10

    Revise-Net: Exploiting Reverse Attention Mechanism for Salient Object Detection by Hussain, Rukhshanda, Karbhari, Yash, Ijaz, Muhammad Fazal, Woźniak, Marcin, Singh, Pawan Kumar, Sarkar, Ram

    Published in Remote sensing (Basel, Switzerland) (01-12-2021)
    “…Recently, deep learning-based methods, especially utilizing fully convolutional neural networks, have shown extraordinary performance in salient object…”
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  11. 11

    NAS-HRIS: Automatic Design and Architecture Search of Neural Network for Semantic Segmentation in Remote Sensing Images by Zhang, Mingwei, Jing, Weipeng, Lin, Jingbo, Fang, Nengzhen, Wei, Wei, Woźniak, Marcin, Damaševičius, Robertas

    Published in Sensors (Basel, Switzerland) (16-09-2020)
    “…The segmentation of high-resolution (HR) remote sensing images is very important in modern society, especially in the fields of industry, agriculture and urban…”
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  12. 12

    Enhancing parasitic organism detection in microscopy images through deep learning and fine-tuned optimizer by Kumar, Yogesh, Garg, Pertik, Moudgil, Manu Raj, Singh, Rupinder, Woźniak, Marcin, Shafi, Jana, Ijaz, Muhammad Fazal

    Published in Scientific reports (08-03-2024)
    “…Parasitic organisms pose a major global health threat, mainly in regions that lack advanced medical facilities. Early and accurate detection of parasitic…”
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  13. 13

    Virtualising Space – New Directions for Applications of Agent-Based Modelling in Spatial Economics by Wozniak, Marcin

    “…Due to enormous technological progress, socio‑economic science has gained new possibilities of investigating complex and not well‑known socio‑economic…”
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  14. 14

    Automating cancer diagnosis using advanced deep learning techniques for multi-cancer image classification by Kumar, Yogesh, Shrivastav, Supriya, Garg, Kinny, Modi, Nandini, Wiltos, Katarzyna, Woźniak, Marcin, Ijaz, Muhammad Fazal

    Published in Scientific reports (23-10-2024)
    “…Cancer detection poses a significant challenge for researchers and clinical experts due to its status as the leading cause of global mortality. Early detection…”
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  15. 15

    Implementing vision transformer for classifying 2D biomedical images by Halder, Arindam, Gharami, Sanghita, Sadhu, Priyangshu, Singh, Pawan Kumar, Woźniak, Marcin, Ijaz, Muhammad Fazal

    Published in Scientific reports (31-05-2024)
    “…In recent years, the growth spurt of medical imaging data has led to the development of various machine learning algorithms for various healthcare…”
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  16. 16

    Multi-Level Features Extraction for Discontinuous Target Tracking in Remote Sensing Image Monitoring by Zhou, Bin, Duan, Xuemei, Ye, Dongjun, Wei, Wei, Woźniak, Marcin, Połap, Dawid, Damaševičius, Robertas

    Published in Sensors (Basel, Switzerland) (07-11-2019)
    “…Many techniques have been developed for computer vision in the past years. Features extraction and matching are the basis of many high-level applications. In…”
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  17. 17

    Molecular Imaging and Nanotechnology-Emerging Tools in Diagnostics and Therapy by Woźniak, Marcin, Płoska, Agata, Siekierzycka, Anna, Dobrucki, Lawrence W, Kalinowski, Leszek, Dobrucki, Iwona T

    “…Personalized medicine is emerging as a new goal in the diagnosis and treatment of diseases. This approach aims to establish differences between patients…”
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  18. 18

    Robust and Secure Data Transmission Using Artificial Intelligence Techniques in Ad-Hoc Networks by Rani, Pooja, Kavita, Verma, Sahil, Kaur, Navneet, Wozniak, Marcin, Shafi, Jana, Ijaz, Muhammad Fazal

    Published in Sensors (Basel, Switzerland) (30-12-2021)
    “…The paper presents a new security aspect for a Mobile Ad-Hoc Network (MANET)-based IoT model using the concept of artificial intelligence. The Black Hole…”
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  19. 19

    ResNet-32 and FastAI for diagnoses of ductal carcinoma from 2D tissue slides by Praveen, S. Phani, Srinivasu, Parvathaneni Naga, Shafi, Jana, Wozniak, Marcin, Ijaz, Muhammad Fazal

    Published in Scientific reports (02-12-2022)
    “…Carcinoma is a primary source of morbidity in women globally, with metastatic disease accounting for most deaths. Its early discovery and diagnosis may…”
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  20. 20

    Advanced deep learning techniques for early disease prediction in cauliflower plants by Kanna, G. Prabu, Kumar, S. J. K. Jagadeesh, Kumar, Yogesh, Changela, Ankur, Woźniak, Marcin, Shafi, Jana, Ijaz, Muhammad Fazal

    Published in Scientific reports (27-10-2023)
    “…Agriculture plays a pivotal role in the economies of developing countries by providing livelihoods, sustenance, and employment opportunities in rural areas…”
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