An innovative AI framework has been designed to improve early lung cancer detection by combining Vision Transformers (ViT), Graph Neural Networks (GNNs), and LayoutLM. Utilizing both the IQ-OTH/NCCD and Prostate, Lung...
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a botnet is a group of devices which are controlled by the Attacker and used for fraud, scam and *** attacker is also known as *** Bots are used to conduct many activities varies from stealing user credentials, sendin...
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Neurodegenerative disorders challenge healthcare systems globally, impacting millions of lives and diminishing quality of life. Machine learning, particularly deep learning, offers promise in improving disease classif...
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A genre in music is a style or kind of music. To make it easier to recognize favorite songs, music genres group related tracks together. Dissimilar machine learning approaches, for example Decision Tree, K-means Clust...
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Cassava, a vital food security crop widely cultivated in tropical regions, serves as a major carbohydrate source globally. However, its growth and productivity are consistently hindered by the prevalence of viral, bac...
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This paper proposes an advanced system for automated insurance claims processing, integrating Natural Language Processing (NLP) and blockchain technology. Unlike existing systems that rely on rule-based automation and...
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With the vast advancements in Information Technology,the emergence of Online Social Networking(OSN)has also hit its peak and captured the atten-tion of the young generation *** clone intends to replicate the users and...
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With the vast advancements in Information Technology,the emergence of Online Social Networking(OSN)has also hit its peak and captured the atten-tion of the young generation *** clone intends to replicate the users and inject massive malicious activities that pose a crucial security threat to the original ***,the attackers also target this height of OSN utilization,explicitly creating the clones of the user’s *** clone detection mechanisms are designed based on social-network *** instance,monitoring the occur-rence of clone edges is done to restrict the generation of clone ***,this assumption is unsuitable for a real-time environment and works optimally during the simulation *** research concentrates on modeling and effi-cient clone prediction and avoidance methods to help the social network activists and the victims enhance the clone prediction *** model does not rely on ***,an ensemble Adaptive Random Subspace is used for clas-sifying the clone victims with k-Nearest Neighbour(k-NN)as a base classifi*** weighted clone nodes are analysed using the weighted graph theory concept based on the classified *** the weighted node’s threshold value is high-er,the trust establishment is terminated,and the clones are ranked and sorted in the higher place for ***,the victims are alert to the clone propaga-tion over the online social networking end,and the validation is done using the MATLAB 2020a simulation *** model shows a better trade-off than existing approaches like Random Forest(RF),Naïve Bayes(NB),and the standard graph *** performance metrics like True Positive Rate(TPR),False Alarm Rate(FAR),Recall,Precision,F-measure,and ROC and run time analysis are evaluated to show the significance of the model.
This paper centers on pushing the boundaries of AI and computer vision through an inventive approach to video captioning, leveraging the powerful Contrastive Language Image Pretraining (CLIP) model. In stark contrast ...
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This study develops a machine learning framework to classify infant cries using 457 audio features, including time domain features like Zero-Crossing Rate (ZCR) for frequency analysis and Quadratic Mean RMS for power ...
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Consumer segmentation is essential for accurate targeting and successful marketing efforts in today’s competitive business environment. Modern marketing groups individuals by interests and attributes. Segmentation dr...
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