Around the world, kidney diseases are a major open prosperity concern. Environmental components, tall salt levels, and additional minutes are all risk factors. Kidney dissatisfaction can be a critical prosperity issue...
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As an emerging technology, Software Defined Networks (SDN) has led to several vulnerabilities and risks, making it adoption challenging. Cyber threats in SDN include a wide range of malicious activities intended to ex...
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Nowadays,commercial transactions and customer reviews are part of human life and various business *** technologies create a great impact on online user reviews and activities,affecting the business *** reviews and rat...
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Nowadays,commercial transactions and customer reviews are part of human life and various business *** technologies create a great impact on online user reviews and activities,affecting the business *** reviews and ratings are more helpful to the new customer to purchase the product,but the fake reviews completely affect the *** traditional systems consume maximum time and create complexity while analyzing a large volume of customer ***,in this work optimized recommendation system is developed for analyzing customer reviews with minimum ***,Amazon Product Kaggle dataset information is utilized for investigating the customer *** collected information is analyzed and processed by batch normalized capsule networks(NCN).The network explores the user reviews according to product details,time,price purchasing factors,etc.,ensuring product quality and *** effective recommendation system is developed using a butterfly optimized matrix factorizationfiltering *** the system’s efficiency is evaluated using the Rand Index,Dunn index,accuracy,and error rate.
Prenatal depression,which can affect pregnant women’s physical and psychological health and cause postpartum depression,is increasing ***,it is essential to detect prenatal depression early and conduct an attribution...
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Prenatal depression,which can affect pregnant women’s physical and psychological health and cause postpartum depression,is increasing ***,it is essential to detect prenatal depression early and conduct an attribution *** studies have used questionnaires to screen for prenatal depression,but the existing methods lack *** diagnose the early signs of prenatal depression and identify the key factors that may lead to prenatal depression from questionnaires,we present the semantically enhanced option embedding(SEOE)model to represent questionnaire *** can quantitatively determine the relationship and patterns between options and *** first quantifies options and resorts them,gathering options with little difference,since Word2Vec is highly dependent on *** resort task is transformed into an optimization problem involving the traveling salesman ***,all questionnaire samples are used to train the options’vector using ***,an LSTM and GRU fused model incorporating the cycle learning rate is constructed to detect whether a pregnant woman is suffering from *** verify the model,we compare it with other deep learning and traditional machine learning *** experiment results show that our proposed model can accurately identify pregnant women with depression and reach an F1 score of *** most relevant factors of depression found by SEOE are also verified in the *** addition,our model is of low computational complexity and strong generalization,which can be widely applied to other questionnaire analyses of psychiatric disorders.
Nowadays to interconnect with the world, smart phones become an important part of our life, smart phones help us in various ways like keeping lots of important application and data. Using this we can store contacts me...
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In the rapidly evolving landscape of cyber threats, phishing continues to be a prominent vector for cyberattacks, posing significant risks to individuals, organizations and information systems. This letter delves into...
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Malware represents the greatest threat to cybersecurity and serves as the weapon of choice for carrying out nefarious activities in the digital realm. The proliferation of malware poses significant risks to individual...
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Blockchain technology has the characteristics of non-tampering and forgery, traceability, and so on, which have good application advantages for the storage of multimedia data. So we propose a novel method using matrix...
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Now-a-days, the generation of videos has increased dramatically due to the quick growth of multimedia and the internet. The need for effective ways to store, manage, and index the massive numbers of videos has become ...
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The rapid adoption of online social media platforms has transformed the way of communication and *** these platforms,discussions in the form of trending topics provide a glimpse of events happening around the world in...
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The rapid adoption of online social media platforms has transformed the way of communication and *** these platforms,discussions in the form of trending topics provide a glimpse of events happening around the world in ***,these trends are used for political campaigns,public awareness,and brand ***,these trends are sensitive to manipulation by malicious users who aim to mislead the mass *** this article,we identify and study the characteristics of users involved in the manipulation of Twitter trends in *** propose“Manipify”-a framework for automatic detection and analysis of malicious users in Twitter *** framework consists of three distinct modules:(1)user classifier,(2)hashtag classifier,and(3)trend *** user classifier module introduces a novel approach to automatically detect manipulators using tweet content and user behaviour ***,the module classifies human and bot ***,the hashtag classifier categorizes trending hashtags into six categories assisting in examining manipulators behaviour across different ***,the trend analyzer module examines users,hashtags,and tweets for hashtag reach,linguistic features,and user *** user classifier module achieves 0.92 and 0.98 accuracy in classifying manipulators and bots,*** further test Manipify on the dataset comprising 652 trending hashtags with 5.4 million tweets and 1.9 million *** analysis of trends reveals that the trending panel is mostly dominated by political *** addition,our results show a higher contribution of human accounts in trend manipulation as compared to bots.
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