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 …
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 …
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
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 …
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.
Discovering similarity between sentences can be beneficial to a variety of systems, including
chatbots for customer support, educational platforms, e-commerce customer inquiries, and …
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 …
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
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 …
and uncovering valuable insights. In this context, sentiment analysis is especially critical for …
Machine Learning-Based Analysis and Prediction of Liver Cirrhosis
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 …
remaining asymptomatic in its initial stages, thereby complicating early diagnosis and …
A Robust Ensemble Machine Learning Model with Advanced Voting Techniques for Comment Classification
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 …
data is increasing exponentially. Data is generated from different platforms like Education …
CommentClass: A Robust Ensemble Machine Learning Model for Comment Classification
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 …
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 …
Language Processing (NLP) and text classification. Feature engineering is considered to be …