Image Captioning (ICs) seamlessly combines the realms of computer Vision (CV) and Natural Language Processing (NLP) task involved in producing textual sentences that summarise the image content in a way which is under...
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NeuroProbe is a simple neural network simulator designed by authors specifically for educational purposes focusing on simulating inference phase on a computationally capable embedded hardware, aiming to provide a deep...
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Automated segmentation and classification of biomedical images act as a vital part of the diagnosis of brain tumors(BT).A primary tumor brain analysis suggests a quicker response from treatment that utilizes for impro...
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Automated segmentation and classification of biomedical images act as a vital part of the diagnosis of brain tumors(BT).A primary tumor brain analysis suggests a quicker response from treatment that utilizes for improving patient survival *** location and classification of BTs from huge medicinal images database,obtained from routine medical tasks with manual processes are a higher cost together in effort and *** automatic recognition,place,and classifier process was desired and *** study introduces anAutomatedDeepResidualU-Net Segmentation with Classification model(ADRU-SCM)for Brain Tumor *** presentedADRUSCM model majorly focuses on the segmentation and classification of *** accomplish this,the presented ADRU-SCM model involves wiener filtering(WF)based preprocessing to eradicate the noise that exists in *** addition,the ADRU-SCM model follows deep residual U-Net segmentation model to determine the affected brain ***,VGG-19 model is exploited as a feature ***,tunicate swarm optimization(TSO)with gated recurrent unit(GRU)model is applied as a classification model and the TSO algorithm effectually tunes *** performance validation of the ADRU-SCM model was tested utilizing FigShare dataset and the outcomes pointed out the better performance of the ADRU-SCM approach on recent approaches.
This research conducts a comprehensive analysis of global warming trends by integrating Earth surface temperature, CO2 emissions, and world population data. Applying sophisticated machine learning models (SARIMAX, ARI...
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Supermarkets and grocery stores aim to improve customer experience and maximize sales. Recommending frequently bought items and optimizing the layout of products can enhance customer satisfaction and sales revenue. Th...
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A Twitter account was made with the efficient use of a conversation bot as its main goal, and it has since accumulated followers consistently and automatically. Software systems can be interfaced with using a wide var...
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Psychometric evaluation evaluates the information, abilities, capacity and persona trends of someone being assessed. Since many youngsters are joined in faculty earlier than they meet the specified age criteria, they ...
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The Internet of Things refers to actual objects or items that have been integrated with sensors, algorithms, and a few other technologies to exchange information with other devices and networks online (IoT). As IOT de...
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In the realm of autonomous driving, traffic sign recognition (TSR) is of utmost importance since it is crucial to the ability of driverless cars to read and understand both permanent and roadside temporary signs that ...
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An online auction is an auction as similar to an in-person auction but it is held over the Internet. It is an easy and a popular way to buy and sell products and services using cryptocurrency. Online auctions have gro...
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