Breast cancer is become the most prevailing and fastest growing disease. In medical imaging, the use of machine learning and deep learning algorithms is essential. Classification of the tumor to predict the chemothera...
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Random number generation plays a pivotal role in various fields, including cryptography, simulations, and gaming. This research paper introduces a novel approach to pseudo-random number generation that utilizes the Kn...
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Graph Neural Networks (GNNs) excel in processing graph-structured data, making them attractive and promising for tasks such as recommender systems and traffic forecasting. However, GNNs’ irregular computational patte...
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Nowadays,review systems have been developed with social media Recommendation systems(RS).Although research on RS social media is increas-ing year by year,the comprehensive literature review and classification of this R...
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Nowadays,review systems have been developed with social media Recommendation systems(RS).Although research on RS social media is increas-ing year by year,the comprehensive literature review and classification of this RS research is limited and needs to be *** previous method did notfind any user reviews within a time,so it gets poor accuracy and doesn’tfilter the irre-levant comments effi*** Recursive Neural Network-based Trust Recom-mender System(RNN-TRS)is proposed to overcome this method’s *** it is efficient to analyse the trust comment and remove the irrelevant sentence ***first step is to collect the data based on the transactional reviews of social *** second step is pre-processing using Imbalanced Col-laborative Filtering(ICF)to remove the null values from the *** the features from the pre-processing step using the Maximum Support Grade Scale(MSGS)to extract the maximum number of scaling features in the dataset and grade the weights(length,count,etc.).In the Extracting features for Training and testing method before that in the feature weights evaluating the softmax acti-vation function for calculating the average weights of the ***,In the classification method,the Recursive Neural Network-based Trust Recommender System(RNN-TRS)for User reviews based on the Positive and negative scores is analysed by the *** simulation results improve the predicting accuracy and reduce time complexity better than previous methods.
Agriculture is the most significant industry in the economy of India. Various kinds of diseases affect the leaves of plants and influence the productivity of crops. Apple farmers are also constantly facing challenges ...
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The power consumption of data centers has risen sharply due to the increasing need for data processing and storage. Addressing this issue requires optimizing the energy efficiency of these assets through effective des...
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Delay Tolerant Networks (DTNs) have the ability to make communication possible without end-to-end connectivity using store-carry-forward technique. Efficient data dissemination in DTNs is very challenging problem due ...
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Gastric cancer is a prevalent and life-threatening disease that necessitates early detection for effective *** recent years, image segmentation techniques have shown promise in aiding the detection of gastric cancer. ...
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The automotive industry is a major contributor to carbon emissions, posing a threat to the environment and human health. This research explores the potential of machine learning for predicting vehicle CO2 emissions. I...
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Alzheimer's Disease (AD), which is characterized by cognitive decline and memory loss, affects millions of people worldwide and poses a significant challenge to modern healthcare. Detecting AD at its earliest stag...
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