In this paper, we propose an industrial filling process based on reinforcement learning. Despite the desired control can be achieved by using a simple PID controller, in many practical cases action space can be discre...
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Wearable sensing has recently been highly preferred due to its quick and accurate measurement of physiological parameters. These sensors have been devised using various polymers [1], [2] and nanomaterials [3], [4] sui...
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The widespread deployment of 'Smart' Infrastructure, which uses networked computing systems to manage physical processes, has brought the onset of the fourth industrial Revolution (4IR). The 4IR relies on netw...
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The World Health Organization (WHO) reports that diabetic retinopathy affects one-third of diabetics, regardless of their stage of the disease. Several research efforts are focused on its automated detection and diagn...
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Currently, it is important to note that formative research can be used as a strategy in the teaching process [1], and it is possible to avoid 'the parceling of content into minimum units [1]' in class subjects...
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From AI-assisted art creation to large language model (LLM)-powered ChatGPT, AI-generated contents and services are becoming a transforming force. It calls for the telecom industry to embrace the prospects of AIGC ser...
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A brain tumor is a mass or growth of abnormal cells in the *** children and adults,brain tumor is considered one of the leading causes of *** are several types of brain tumors,including benign(non-cancerous)and malign...
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A brain tumor is a mass or growth of abnormal cells in the *** children and adults,brain tumor is considered one of the leading causes of *** are several types of brain tumors,including benign(non-cancerous)and malignant(cancerous)*** brain tumors as early as possible is essential,as this can improve the chances of successful treatment and *** this problem,we bring forth a hybrid intelligent deep learning technique that uses several pre-trained models(Resnet50,Vgg16,Vgg19,U-Net)and their integration for computer-aided detection and localization systems in brain *** pre-trained and integrated deep learning models have been used on the publicly available dataset from The Cancer Genome *** dataset consists of 120 *** pre-trained models have been used to classify tumor or no tumor images,while integrated models are applied to segment the tumor region *** have evaluated their performance in terms of loss,accuracy,intersection over union,Jaccard distance,dice coefficient,and dice coefficient *** pre-trained models,the U-Net model achieves higher performance than other models by obtaining 95%*** contrast,U-Net with ResNet-50 out-performs all other models from integrated pre-trained models and correctly classified and segmented the tumor region.
The increasing integration of distributed energy resources in distribution networks has significantly reduced system inertia, posing challenges to grid stability during transient events, such as Cold Load Pickup (CLPU...
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Autism Spectrum Disorder (ASD) is "a developmental disability caused by differences in the brain [1]". With this background, the need arises to find a support tool for early diagnosis in children with autism...
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Channel coding in sixth-generation (6G) networks must attain exceptionally low bit error rate (BER), typically in the range of 10-6 to 10-9, to ensure the requisite level of reliability. While fifth-generation (5G) Ne...
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