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Article
Open AccessParallel single B cell transcriptomics to elucidate pig B cell repertoire
Pork is the most widely consumed meat on the planet, placing swine health as a critical factor for both the world economy and the food industry. Infectious diseases in pigs not only threaten these sectors but ...
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Article
Open AccessImplementing vision transformer for classifying 2D biomedical images
In recent years, the growth spurt of medical imaging data has led to the development of various machine learning algorithms for various healthcare applications. The MedMNISTv2 dataset, a comprehensive benchmar...
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Article
A Sentiment Analysis Method for Big Social Online Multimodal Comments Based on Pre-trained Models
In addition to a large amount of text, there are also many emoticons in the comment data on social media platforms. The multimodal nature of online comment data increases the difficulty of sentiment analysis. ...
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Article
Open AccessAutomated detection and recognition system for chewable food items using advanced deep learning models
Identifying and recognizing the food on the basis of its eating sounds is a challenging task, as it plays an important role in avoiding allergic foods, providing dietary preferences to people who are restricte...
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Article
Open AccessEnhancing parasitic organism detection in microscopy images through deep learning and fine-tuned optimizer
Parasitic organisms pose a major global health threat, mainly in regions that lack advanced medical facilities. Early and accurate detection of parasitic organisms is vital to saving lives. Deep learning model...
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Article
Open AccessThe Fears and Hopes of Ukrainian Migrant Workers in Poland in the Pandemic Era
Due to the COVID-19 pandemic, many immigrants found themselves in extremely unstable situations. The recent contributions show that employment decline in the first several months of the lockdown was higher for...
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Article
Open AccessRadix-4 CORDIC algorithm based low-latency and hardware efficient VLSI architecture for Nth root and Nth power computations
In this article, a low-complexity VLSI architecture based on a radix-4 hyperbolic COordinate Rotion DIgital Computer (CORDIC) is proposed to compute the ...
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Article
Open AccessAuthor Correction: Advanced deep learning techniques for early disease prediction in cauliflower plants
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Article
Open AccessAdvanced deep learning techniques for early disease prediction in cauliflower plants
Agriculture plays a pivotal role in the economies of develo** countries by providing livelihoods, sustenance, and employment opportunities in rural areas. However, crop diseases pose a significant threat to ...
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Article
Nonlinear dimensionality reduction method of scheduling frequent information in wireless networks based on multilevel map**
In order to reduce the redundant data deletion accuracy and bit error rate of wireless network scheduling information, make the reduced dimension information uniformly distributed on the manifold, and eliminat...
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Article
Open AccessResearch on Hybrid Data Clustering Algorithm for Wireless Communication Intelligent Bracelets
Wireless communication smart bracelet data include motion data, sleep time data, heart rate and blood pressure data and positioning data, etc. These data have diversity and high complexity, and there are inter...
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Article
Open AccessDeep neural network correlation learning mechanism for CT brain tumor detection
Modern medical clinics support medical examinations with computer systems which use Computational Intelligence on the way to detect potential health problems in more efficient way. One of the most important ap...
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Article
Open AccessCandida auris Infection in a Meningococcal Septicemia Survivor, Poland
Candida auris is an emerging pathogen that constitutes a serious global health threat. It is difficult to identify without specific approaches, and it can be misidentified with standard laboratory methods, what m...
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Article
Open AccessA smart privacy preserving framework for industrial IoT using hybrid meta-heuristic algorithm
Industrial Internet of Things (IIoT) seeks more attention in attaining enormous opportunities in the field of Industry 4.0. But there exist severe challenges related to data privacy and security when processin...
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Chapter and Conference Paper
BiLSTM Deep Learning Model for Heart Problems Detection
Deep learning architectures find applications where analysis of complex data inputs is demanding and regular neural networks may have problems. There are many types of deep learning models, however the most im...
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Chapter and Conference Paper
Dynamics of Pedestrians’ Flows During Daytime
The movement of people in the city varies significantly during the day. However, the availably of open localization data that could be useful in calibration of pedestrian ABM is negligible. The investigation o...
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Chapter and Conference Paper
Algorithm for Solving Optimal Placement of Routers in Mines
In this paper we present a model of optimization in a form of an algorithm which solves optimal placement of routers in N chambers with ...
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Chapter and Conference Paper
Semantic Segmentation Neural Network in Automatic Weapon Detection
The goal of this paper is to introduce a semantic segmentation neural network designed for the detection of firearms. The proposed network applies a fully convolutional architecture, incorporating features suc...
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Article
Open AccessAuthor Correction: A blockchain based lightweight peer-to-peer energy trading framework for secured high throughput micro-transactions
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Article
Open AccessResNet-32 and FastAI for diagnoses of ductal carcinoma from 2D tissue slides
Carcinoma is a primary source of morbidity in women globally, with metastatic disease accounting for most deaths. Its early discovery and diagnosis may significantly increase the odds of survival. Breast cance...
