Uyperspectral imaging (USI) is a critical technology in remote sensing that provides extensive spectral information for material identification and classification on Earth's surface. Despite its benefits, the high...
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The current predominant issue in India is the escalating number of traffic accidents, primarily attributed to the burgeoning population. A significant contributing factor to this problem is the widespread disregard fo...
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The normal human brain always searches for easy ways to complete a task. It will be good to procrastinate for one or more activities but for other tasks it won't be suitable for us. The purpose of this project is ...
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Bangladesh has recently adopted the worldwide trend of digitalization, namely in the area of financial activities. In Bangladesh, the centralized nature of digital payment systems poses notable obstacles, such as leng...
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Electroencephalography (EEG) is a crucial tool for monitoring electrical brain activity and diagnosing neurological conditions. Manual analysis of EEG signals is time-consuming and prone to variability, necessitating ...
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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.
Storing digital images in the cloud, managed by third-party services, offers numerous advantages over traditional on-premises storage. It empowers scalability, accessibility from anywhere with internet, reliability th...
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Phishing Website Detection with ML is a literature review that surveys the use of machine learning in combatting phishing attacks. It provides insights into ML algorithms, feature engineering, datasets, and applicatio...
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This research addresses the critical need for early crop disease detection to optimize yields and minimize economic losses. Leveraging DenseNet, a deep learning model, the study focuses on automated detection of rice ...
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This paper presents the development and implementation of an advanced plant health monitoring system. The primary objective is to create an integrated system capable of assessing and monitoring plant health by incorpo...
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