A viral infection, Lumpy skin disease that mainly impacts cows, represents a substantial risk to both animal well-being and the agricultural industry. A virus belonging to the proxviridae family-the lumpy skin virus, ...
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One of the most significant and difficult tasks in the modern world is rainfall forecast. Rainfall is a complicated and nonlinear phenomenon that requires sophisticated computer modeling and simulation to anticipate w...
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This study aims to improve the performance of organic to recyclable waste through deep learning techniques. Negative impacts on environmental and Social development have been observed relating to the poor waste segreg...
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The rapid expansion of data poses a significant challenge for analyzing sentiments. The importance of user-generated reviews highlights the need to carefully curate and evaluate text data to extract opinions. This res...
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DDoS has a huge potential of threat towards the availability and performance of webservices. The attack system makes the systems unavailable to the valid users by flooding them with malignant traffic. Traditional defe...
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Grains are the primary source of daily sustenance for most people. Grain hoarding is among the most crucial elements of our economy and way of life. In India, a sizable group of workers oversee assuring the safety and...
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作者：
Mohan, RamyaRajinikanth, Venkatesan
Department of Computer Science and Engineering TN Chennai602105 India
Division of Research and Innovation Department of Computer Science and Engineering TN Chennai602105 India
Oral cancer (OC) is a harsh disease that demands timely detection and intervention. Histopathological image-assisted OC detection involves the assessment of tissue specimens under a microscope to detect abnormal cellu...
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The deep learning model encompasses a powerful learning ability that integrates the feature extraction,and classification method to improve *** Neural Networks(CNN)perform well in machine learning and image processing...
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The deep learning model encompasses a powerful learning ability that integrates the feature extraction,and classification method to improve *** Neural Networks(CNN)perform well in machine learning and image processing tasks like segmentation,classification,detection,identification,*** CNN models are still sensitive to noise and *** smallest change in training images as in an adversarial attack can greatly decrease the accuracy of the CNN *** paper presents an alpha fusion attack analysis and generates defense against adversarial *** proposed work is divided into three phases:firstly,an MLSTM-based CNN classification model is developed for classifying COVID-CT ***,an alpha fusion attack is generated to fool the classification *** alpha fusion attack is tested in the last phase on a modified LSTM-based CNN(CNN-MLSTM)model and other pre-trained *** results of CNN models show that the accuracy of these models dropped greatly after the alpha-fusion *** highest F1 score before the attack was achieved is 97.45 And after the attack lowest F1 score recorded is 22%.Results elucidate the performance in terms of accuracy,precision,F1 score and Recall.
Coronavirus pandemic, also referred to as COVID-19, broke out in 2019 and caused extensive illnesses. Many experts in the medical field are of the opinion that the epidemic first appeared in Wuhan, China, before it sp...
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In the realm of marine biology and underwater research, the discovery and understanding of marine species play a pivotal role in unraveling the mysteries of the deep ocean. This research endeavors to advance the field...
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