Tag Archives: scopus free
Tracking Concept Evolution : A Graph-Based Approach to Detecting Drift in Text Data
Tracking Concept Evolution : A Graph LITERATURE SURVEYConcept drift refers to the phenomenon where the statistical properties of data change over time, affectingthe performance of machine learning models. Traditional concept drift detectionRead More…
Smart Environmental Sensing: Outdoor Pollution Detection Using IoT and Cloud-Based Predictive Models
Smart Environmental Sensing: Outdoor Smart Environmental Sensing: Outdoor Extensive field testing was conducted across multiple urban zones with varying pollution profiles tovalidate the system’s effectiveness. The IoT sensors demonstrated high sensitivity andRead More…
Next-Gen Outdoor Air Pollution Monitoring Using Smart IoT Sensors and Deep Learning Models
Next-Gen Outdoor Air Pollution Next-Gen Outdoor Air Pollution To overcome these obstacles, integrating IoT sensor networks with advanced data processingtechniques, particularly deep learning, has emerged as a cutting-edge approach. Deep learningmodels haveRead More…
Transformer-Enhanced Text Mining for Scalable Topic Modeling in Big Data Environments
Transformer-Enhanced Text Mining Transformer-Enhanced Text Mining A primary obstacle in utilizing transformers directly for topic modeling is their computationalintensity and the difficulty in interpreting the resulting embeddings in terms of explicit topics.Additionally,Read More…
Multimodal Text Mining and Aspect-Oriented Topic Modeling Using Foundation Models
Multimodal Text Mining and Aspect The advent of deep learning and particularly the rise of transformer-based models haverevolutionized natural language processing (NLP). Embedding techniques, which encode words,sentences, or entire documents as denseRead More…
Unsupervised Topic Discovery and Text Extraction with Generative AI and Embedding Techniques
Unsupervised Topic Discovery and Text With the emergence of neural networks and representation learning, embedding techniquesrevolutionized textual analysis. Word2Vec [Mikolov et al., 2013] introduced dense wordembeddings that preserved semantic relationships, enabling wordsRead More…
End-to-End Information Extraction and Dynamic Topic Modeling Using Deep NLP Pipelines
End-to-End Information Extraction End-to-End Information Extraction In today’s data-driven world, the proliferation of unstructured textual data presents bothtremendous opportunities and significant challenges. Vast amounts of text are continuouslygenerated from diverse sources suchRead More…