Machine learning operations (mlops): Overview, definition, and architecture

D Kreuzberger, N Kühl, S Hirschl - IEEE access, 2023 - ieeexplore.ieee.org
The final goal of all industrial machine learning (ML) projects is to develop ML products and
rapidly bring them into production. However, it is highly challenging to automate and …

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 …

A survey on mobile malware detection methods using machine learning

MEZN Kambar, A Esmaeilzadeh, Y Kim… - 2022 IEEE 12th …, 2022 - ieeexplore.ieee.org
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 …

Review of deep learning methods for automated sleep staging

M Malekzadeh, P Hajibabaee… - 2022 IEEE 12th …, 2022 - ieeexplore.ieee.org
In order to diagnose sleep problems, it is critical to correctly identify sleep stages which is a
labor-intensive task. Due to rising data volumes, advanced algorithms, and improvements in …

Mapreduce preprocess of big graphs for rapid connected components detection

R Abdolazimi, M Heidari… - 2022 IEEE 12th …, 2022 - ieeexplore.ieee.org
Paramount and vast applications such as social networks deal with big graphs. For this
reason, big graph analysis and processing is currently a necessity. Detection of connected …

Online user profiling to detect social bots on twitter

M Heidari, JH Jones Jr, O Uzuner - arXiv preprint arXiv:2203.05966, 2022 - arxiv.org
Social media platforms can expose influential trends in many aspects of everyday life.
However, the movements they represent can be contaminated by disinformation. Social bots …

Suicide Rate and Factors Analysis: Pre and Post COVID Pandemic Data Analysis

H Antonova, ECS Pamidimukkala… - … IEEE International IOT …, 2022 - ieeexplore.ieee.org
According to the 2021 Report from the World Health Organization (WHO), more than
700,000 people have taken their life. Suicide can be prevented but so far most of the efforts …

A novel reinforcement learning approach for spark configuration parameter optimization

X Huang, H Zhang, X Zhai - Sensors, 2022 - mdpi.com
Apache Spark is a popular open-source distributed data processing framework that can
efficiently process massive amounts of data. It provides more than 180 configuration …

Analyzing credit card fraud detection based on machine learning models

R Almutairi, A Godavarthi, AR Kotha… - … IEEE International IOT …, 2022 - ieeexplore.ieee.org
Credit card use is not always the best way to use for payments, but the most demonstrable
payment mode is through the credit card for both offline as well as for online payments …

Parallel adaptive large neighborhood search based on spark to solve VRPTW

S Liu, J Sun, X Duan, G Liu - Scientific Reports, 2024 - nature.com
Aiming at the multi-objective vehicle path planning problem with time windows (VRPTW), a
Spark-based parallel Adaptive Large Neighborhood Search algorithm (Spark-ALNS) is …