Search Results - "WOZNIAK, Marcin"
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A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases
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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IoT and Interpretable Machine Learning Based Framework for Disease Prediction in Pearl Millet
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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Lightweight Convolutional Neural Network Model for Human Face Detection in Risk Situations
Published in IEEE transactions on industrial informatics (01-07-2022)“…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
Body Pose Prediction Based on Motion Sensor Data and Recurrent Neural Network
Published in IEEE transactions on industrial informatics (01-03-2021)“…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
Spatial matching on the urban labor market: estimates with unique micro data
Published in Journal for labour market research (2021)“…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
An Intelligent System for Monitoring Skin Diseases
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
Role of kinesin-1 and cytoplasmic dynein in endoplasmic reticulum movement in VERO cells
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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Body Mass Index and Mortality Among Adults Undergoing Cardiac Surgery: A Nationwide Study With a Systematic Review and Meta-Analysis
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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Real-time neural network based predictor for cov19 virus spread
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
Revise-Net: Exploiting Reverse Attention Mechanism for Salient Object Detection
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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NAS-HRIS: Automatic Design and Architecture Search of Neural Network for Semantic Segmentation in Remote Sensing Images
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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Enhancing parasitic organism detection in microscopy images through deep learning and fine-tuned optimizer
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
Virtualising Space – New Directions for Applications of Agent-Based Modelling in Spatial Economics
Published in Acta Universitatis Lodziensis. Folia oeconomica (03-02-2020)“…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
Automating cancer diagnosis using advanced deep learning techniques for multi-cancer image classification
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
Implementing vision transformer for classifying 2D biomedical images
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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Multi-Level Features Extraction for Discontinuous Target Tracking in Remote Sensing Image Monitoring
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
Molecular Imaging and Nanotechnology-Emerging Tools in Diagnostics and Therapy
Published in International journal of molecular sciences (28-02-2022)“…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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Robust and Secure Data Transmission Using Artificial Intelligence Techniques in Ad-Hoc Networks
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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ResNet-32 and FastAI for diagnoses of ductal carcinoma from 2D tissue slides
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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Advanced deep learning techniques for early disease prediction in cauliflower plants
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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