Research trends in deep learning and machine learning for cloud computing security

YI Alzoubi, A Mishra, AE Topcu - Artificial Intelligence Review, 2024 - Springer
Deep learning and machine learning show effectiveness in identifying and addressing cloud
security threats. Despite the large number of articles published in this field, there remains a …

Generative Artificial Intelligence Technology for Systems Engineering Research: Contribution and Challenges

YI Alzoubi, A Mishra, AE Topcu, AO Cibikdiken - 2024 - ntnuopen.ntnu.no
The advancement of artificial intelligence technology in recent years has had a significant
impact on various industries, including the field of systems engineering. Generative Artificial …

Remote Sensing Image Segmentation for Aircraft Recognition Using U-Net as Deep Learning Architecture

F Shaar, A Yılmaz, AE Topcu, YI Alzoubi - Applied Sciences, 2024 - mdpi.com
Recognizing aircraft automatically by using satellite images has different applications in both
the civil and military sectors. However, due to the complexity and variety of the foreground …

[PDF][PDF] Strengthening Sentence Similarity Identification Through OpenAI Embeddings and Deep Learning.

NB Korade, MB Salunke, AA Bhosle… - … Journal of Advanced …, 2024 - researchgate.net
Discovering similarity between sentences can be beneficial to a variety of systems, including
chatbots for customer support, educational platforms, e-commerce customer inquiries, and …

Enhancing document image retrieval in education: Leveraging ensemble-based document image retrieval systems for improved precision

YI Alzoubi, AE Topcu, E Ozdemir - Applied Sciences, 2024 - mdpi.com
Document image retrieval (DIR) systems simplify access to digital data within printed
documents by capturing images. These systems act as bridges between print and digital …

Sentiment analysis based on text with universal sentence encoder and cnn-lstm models

SO Saka, Z Cömert - 2024 8th International Artificial …, 2024 - ieeexplore.ieee.org
Text processing has a crucial role to perform in today's information era for interpreting data
and uncovering valuable insights. In this context, sentiment analysis is especially critical for …

Machine Learning-Based Analysis and Prediction of Liver Cirrhosis

AE Topcu, E Elbasi, YI Alzoubi - 2024 47th International …, 2024 - ieeexplore.ieee.org
Liver cirrhosis poses a significant threat as a highly infectious blood-borne illness, often
remaining asymptomatic in its initial stages, thereby complicating early diagnosis and …

A Robust Ensemble Machine Learning Model with Advanced Voting Techniques for Comment Classification

AI Shiplu, MM Rahman, Y Watanobe - International Conference on Big …, 2023 - Springer
In the modern era, we find ourselves immersed in an ever-expanding flow of data where
data is increasing exponentially. Data is generated from different platforms like Education …

CommentClass: A Robust Ensemble Machine Learning Model for Comment Classification

MM Rahman, AI Shiplu, Y Watanobe - International Journal of …, 2024 - Springer
Enormous amounts of data are generated in the form of feedback or comments from online
platforms such as social media, e-commerce, education, and programming. This feedback …

Comprehensive Analysis of Word Embedding Models and Design of Effective Feature Vector for Classification of Amazon Product Reviews

BP Kamath, M Geetha, UD Acharya, D Singh… - IEEE Access, 2025 - ieeexplore.ieee.org
Sentiment Analysis (SA) is a well-known and emerging research field in the area of Natural
Language Processing (NLP) and text classification. Feature engineering is considered to be …