The challenge of class imbalance in datasets is a prevalent issue in machine learning, often resulting in biased and inaccurate predictions. This study investigates the effectiveness of different data balancing techni...
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The disruption of the environment’s equilibrium has occurred as a result of mishandling and contamination of vital components of the ecosystem, which are essential for supporting human life. This situation poses a si...
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This study evaluates the performance of six prominent Large Language Models (LLMs) on graduate entrance exam multiple-choice mathematics questions in computerscience, computerengineering, and information technology ...
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Person re-identification (ReID) aims to identify pedestrian images with the same identity across non-overlapping camera views. Intra-camera supervised person re-identification (ICS-ReID) is a new paradigm that trains ...
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The world is moving from Web 2.0 to Web 3.0, leading to a rise in Blockchain technology and its applications like crypto-currencies, supply chains, and IOT. Tokenization of digital assets is necessary, but standards a...
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Diabetic retinopathy(DR),a long-term complication of diabetes,is notoriously hard to detect in its early stages due to the fact that it only shows a subset of *** diagnostic procedures for DR now include optical coher...
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Diabetic retinopathy(DR),a long-term complication of diabetes,is notoriously hard to detect in its early stages due to the fact that it only shows a subset of *** diagnostic procedures for DR now include optical coherence tomography and digital fundus *** digital fundus images alone could provide a reliable diagnosis,then eliminating the costly optical coherence tomography would be beneficial for all parties *** and their patients will find this *** deep convolutional neural networks(DCNNs),we provide a novel approach to this *** approach deviates from standard DCNN methods by exchanging typical max-pooling layers with fractional max-pooling *** order to collect more subtle information for categorization,two such DCNNs,each with a different number of layers,are *** establish these limits,we use DCNNs and features extracted from picture metadata to train a support vector machine *** our experiments,we used information from Kaggle’s open DR detection *** fed our model 34,124 training images,1,000 validation examples,and 53,572 test images to train and test *** of the five classes in the proposed DR classifier corresponds to one of the steps in the DR process and is given a numeric value between 0 and *** results show a higher identification rate(86.17%)than those found in the existing literature,indicating the suggested strategy may be *** have jointly developed an algorithm for machine learning and accompanying software,and we’ve named it deep *** of the fundus acquired by the typical person using a portable ophthalmoscope may be instantly analyzed using our *** technology might be used for self-diagnosis,at-home care,and telemedicine.
The term "heart or cardiovascular disease" is frequently used to refer to a variety of heart-related issues. It is one of the illnesses with the highest mortality rate. Its fatality rate results in nearly 17...
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Green IT (information technology) can ultimately change how we think about energy harvesting. We can develop novel approaches to capture energy from renewable sources, such as sunlight and wind, by utilizing the power...
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Intracranial Hemorrhage (ICH) or Intracranial Bleeding is a severe problem for a person who rushes towards death unless it is recognized accurately within a short period. Commonly, it occurs within the skull or brain....
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White matter microstructure plays a pivotal role in the diagnosis and study of brain disorders. Deep learning-based estimation of white matter microstructural indices from diffusion MRI (dMRI) data has gained increasi...
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