Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review
The goal of managing smart cities and societies is to maximize the efficient use of finite
resources while enhancing the quality of life. To establish a sustainable urban existence …
resources while enhancing the quality of life. To establish a sustainable urban existence …
A survey on intent-based networking
A Leivadeas, M Falkner - IEEE Communications Surveys & …, 2022 - ieeexplore.ieee.org
Current and future network services and applications are expected to revolutionize our
society and lifestyle. At the same time, the abundant possibilities that new network …
society and lifestyle. At the same time, the abundant possibilities that new network …
Machine learning applications for COVID-19 outbreak management
Recently, the COVID-19 epidemic has resulted in millions of deaths and has impacted
practically every area of human life. Several machine learning (ML) approaches are …
practically every area of human life. Several machine learning (ML) approaches are …
[HTML][HTML] ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters' utilization and perceptions
To foster the development of pedagogically potent and ethically sound AI-integrated
learning landscapes, it is pivotal to critically explore the perceptions and experiences of the …
learning landscapes, it is pivotal to critically explore the perceptions and experiences of the …
Exploring user perspectives on chatgpt: Applications, perceptions, and implications for ai-integrated education
To foster the development of pedagogically potent and ethically sound AI-integrated
learning landscapes, it is pivotal to critically explore the perceptions and experiences of the …
learning landscapes, it is pivotal to critically explore the perceptions and experiences of the …
A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain
With the global spread of the COVID-19 epidemic, a reliable method is required for
identifying COVID-19 victims. The biggest issue in detecting the virus is a lack of testing kits …
identifying COVID-19 victims. The biggest issue in detecting the virus is a lack of testing kits …
Offensive language detection on social media based on text classification
P Hajibabaee, M Malekzadeh… - 2022 IEEE 12th …, 2022 - ieeexplore.ieee.org
There is a concerning rise of offensive language on the content generated by the crowd over
various social platforms. Such language might bully or hurt the feelings of an individual or a …
various social platforms. Such language might bully or hurt the feelings of an individual or a …
A survey on mobile malware detection methods using machine learning
The prevalence of mobile devices (smartphones) along with the availability of high-speed
internet access world-wide resulted in a wide variety of mobile applications that carry a large …
internet access world-wide resulted in a wide variety of mobile applications that carry a large …
Efficient large scale nlp feature engineering with apache spark
A Esmaeilzadeh, M Heidari… - 2022 IEEE 12th …, 2022 - ieeexplore.ieee.org
Feature engineering is a computationally time-consuming process in the end-to-end
machine learning pipeline. Large amounts of text data are being generated on many …
machine learning pipeline. Large amounts of text data are being generated on many …
LFTK: Handcrafted features in computational linguistics
BW Lee, JHJ Lee - arXiv preprint arXiv:2305.15878, 2023 - arxiv.org
Past research has identified a rich set of handcrafted linguistic features that can potentially
assist various tasks. However, their extensive number makes it difficult to effectively select …
assist various tasks. However, their extensive number makes it difficult to effectively select …