In this paper, we study the VNF placement problem in MEC-enabled 5G networks to meet the stringent reliability and latency requirements of uRLLC applications. We pose it as a constrained optimization problem, which is...
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The Biometric cryptosystem employs numerous techniques for safeguarding templates that uses key to secure the data. The role of biometrics in cryptosystem leaves the necessity of recall passwords as the data access is...
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Internet and communication technologies are evolving quickly today. As a result, communication is simpler than it always was. This study examines the usage of emojis for real-time emotion recognition. The findings ind...
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The ability to detect life in challenging underwater environments holds the potential to preserve many aquatic species and coral reefs. Recent object detection research has witnessed a remarkable upsurge in natural im...
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Accurate identification and classification of plant diseases are essential for maintaining crop health and maximizing yields. Deep learning techniques have shown great promise in this field, and this study presents a ...
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Invoices are the fundamental document that play a vital role in encapsulating the details of the products and the business transactions between the seller and the buyer. We cannot check our invoices at any time for em...
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Cognitive radio networks (CRNs) is an advanced networking paradigm that solves the spectrum scarcity problem of traditional wireless networks. CRN is recognised as the natural extension of traditional wireless network...
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In the current era, it is observed that most of the devices used for computation are mobile and consume a vast number of exhaustive resources. Edge computing saves bandwidth and decreases response time by fetching com...
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作者：
Andrea PereraPumudu FernandoAndreaPera
Department of Computer Science Informatics Institute of Technology Colombo 06 Sri Lanka Pumudu Fernando
Department of Computer Science Informatics Institute of Technology Colombo 06 Sri Lanka
The use of digital and social media is growing every day as technology advances. People in the twenty-first century are growing up in a social media and internet-enabled society. Digital media offers a lot of opportun...
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The use of digital and social media is growing every day as technology advances. People in the twenty-first century are growing up in a social media and internet-enabled society. Digital media offers a lot of opportunities, but people frequently tend to misuse them. On social networking sites, people spread anger toward a person. People are affected by cyberbullying in various ways. It has an impact on more than just health; numerous other factors put life in danger. Cyberbullying is a widespread modern phenomenon that people cannot completely avoid but can prevent. The author proposes a system for automatic cyberbullying detection and prevention using supervised machine learning. The system considers key characteristics of cyberbullying, such as the intention to harm, repeated behavior, and the use of abusive language. Support vector machines and logistic regression are employed to identify cyberbullying and related themes/categories such as race, physical, sexuality, and politics. This proposed method offers a novel theory for the detection of cyberbullying: texting has evolved over time due to changes in context usage, and language. In the dataset that includes tweets, Support Vector Machine (SVM), Naïve Bayes, and Logistic Regression (LR) models were tested along with different Natural Language Processing methods. The accuracy of the system is improved by sentiment analysis, N-gram analysis, and other non-traditional feature extraction methods like Term Frequency-Inverse Document Frequency (TF-IDF) and profanity detection.
Predicting COVID drug side effects is essential for ensuring patient safety and optimizing drug treatment strategies. Few drugs have been approved for treating the novel COronaVIrus Disease (COVID). The development of...
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