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Develo** future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges
As the globally increasing population drives rapid urbanization in various parts of the world,
there is a great need to deliberate on the future of the cities worth living. In particular, as …
there is a great need to deliberate on the future of the cities worth living. In particular, as …
Fault diagnosis in rotating machines based on transfer learning: Literature review
With the emergence of machine learning methods, data-driven fault diagnosis has gained
significant attention in recent years. However, traditional data-driven diagnosis approaches …
significant attention in recent years. However, traditional data-driven diagnosis approaches …
Sentiment analysis: A survey on design framework, applications and future scopes
Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …
minute sentimental details regarding any topic or context from a voluminous source of data …
A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis
The spread of Covid-19 has resulted in worldwide health concerns. Social media is
increasingly used to share news and opinions about it. A realistic assessment of the …
increasingly used to share news and opinions about it. A realistic assessment of the …
Evaluation of sentiment analysis in finance: from lexicons to transformers
Financial and economic news is continuously monitored by financial market participants.
According to the efficient market hypothesis, all past information is reflected in stock prices …
According to the efficient market hypothesis, all past information is reflected in stock prices …
Increasing text filtering accuracy with improved LSTM
How to eliminate useless information in the vast network information and retain effective
information is a problem that needs to be continuously explored in the field of deep learning …
information is a problem that needs to be continuously explored in the field of deep learning …
A survey of intelligent detection designs of HTML URL phishing attacks
Phishing attacks are a type of cybercrime that has grown in recent years. It is part of social
engineering attacks where an attacker deceives users by sending fake messages using …
engineering attacks where an attacker deceives users by sending fake messages using …
[HTML][HTML] A CNN-BiLSTM model for document-level sentiment analysis
Document-level sentiment analysis is a challenging task given the large size of the text,
which leads to an abundance of words and opinions, at times contradictory, in the same …
which leads to an abundance of words and opinions, at times contradictory, in the same …
{ATLAS}: A sequence-based learning approach for attack investigation
Advanced Persistent Threats (APT) involve multiple attack steps over a long period, and
their investigation requires analysis of myriad logs to identify their attack steps, which are a …
their investigation requires analysis of myriad logs to identify their attack steps, which are a …
A novel hybrid deep learning model for sentiment classification
A massive use of social media platforms such as Twitter and Facebook by omnifarious
organizations has increased the critical individual feedback on the situation, events …
organizations has increased the critical individual feedback on the situation, events …