Even though various features have been investigated in the detection of figurative language, oxymoron features have not been considered in the classification of sarcastic content. The main objective of this work is to...
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Spike camera is a retina-inspired neuromorphic camera which can capture dynamic scenes of high-speed motion by firing a continuous stream of spikes at an extremely high temporal resolution. The limitation in the curre...
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Money laundering is a serious threat to global financial systems, causing instability and inflation, and especially hurting middle-class savings. This paper suggests a new way to tackle these problems by using blockch...
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To enhance the capability of classifying and localizing defects on the surface of hot-rolled strips, this paper proposed an algorithm based on YOLOv7 to improve defect detection. The BI-SPPFCSPC structure was incorpor...
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The Internet of Things (IoT) has developed into a crucial component for meeting the connection needs of the current smart healthcare systems. The Internet of Medical Things (IoMT) consists of medical devices that are ...
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Voice is the king of communication in wireless cellular network (WCN). Again, WCNs provide two types of calls, i.e., new call (NC) and handoff call (HC). Generally, HCs have higher priority than NCs because call dropp...
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Nuclei segmentation is a challenging task in histopathology *** is challenging due to the small size of objects,low contrast,touching boundaries,and complex structure of *** segmentation and counting play an important...
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Nuclei segmentation is a challenging task in histopathology *** is challenging due to the small size of objects,low contrast,touching boundaries,and complex structure of *** segmentation and counting play an important role in cancer identification and its *** this study,WaveSeg-UNet,a lightweight model,is introduced to segment cancerous nuclei having touching *** blocks are used for feature *** one feature extractor block is used in each level of the encoder and ***,images degrade quality and lose important information during *** overcome this loss,discrete wavelet transform(DWT)alongside maxpooling is used in the down-sampling *** DWT is used to regenerate original images during *** the bottleneck of the proposed model,atrous spatial channel pyramid pooling(ASCPP)is used to extract effective high-level *** ASCPP is the modified pyramid pooling having atrous layers to increase the area of the receptive *** and channel-based attention are used to focus on the location and class of the identified ***,watershed transform is used as a post processing technique to identify and refine touching boundaries of *** are identified and counted to facilitate *** same domain of transfer learning is used to retrain the model for domain *** of the proposed model are compared with state-of-the-art models,and it outperformed the existing studies.
Sarcasm detection in text data is an increasingly vital area of research due to the prevalence of sarcastic content in online *** study addresses challenges associated with small datasets and class imbalances in sarca...
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Sarcasm detection in text data is an increasingly vital area of research due to the prevalence of sarcastic content in online *** study addresses challenges associated with small datasets and class imbalances in sarcasm detection by employing comprehensive data pre-processing and Generative Adversial Network(GAN)based augmentation on diverse datasets,including iSarcasm,SemEval-18,and *** research offers a novel pipeline for augmenting sarcasm data with Reverse Generative Adversarial Network(RGAN).The proposed RGAN method works by inverting labels between original and synthetic data during the training *** inversion of labels provides feedback to the generator for generating high-quality data closely resembling the original ***,the proposed RGAN model exhibits performance on par with standard GAN,showcasing its robust efficacy in augmenting text *** exploration of various datasets highlights the nuanced impact of augmentation on model performance,with cautionary insights into maintaining a delicate balance between synthetic and original *** methodological framework encompasses comprehensive data pre-processing and GAN-based augmentation,with a meticulous comparison against Natural Language Processing Augmentation(NLPAug)as an alternative augmentation ***,the F1-score of our proposed technique outperforms that of the synonym replacement augmentation technique using *** increase in F1-score in experiments using RGAN ranged from 0.066%to 1.054%,and the use of standard GAN resulted in a 2.88%increase in *** proposed RGAN model outperformed the NLPAug method and demonstrated comparable performance to standard GAN,emphasizing its efficacy in text data augmentation.
A new stochastic coordinate descent deep learning architectures optimization is proposed for Automated Diabetic Retinopathy Detection and Classification from different data sets and convolution networks. Initially, th...
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Free weight training (FWT) is of utmost importance for physical well-being. The success of FWT depends largely on choosing the suitable workload, as improper selections can lead to suboptimal outcomes or injury. Curre...
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