This research aims to improve the prediction of travelers’ next destinations by using a novel model architecture based on Long Short-Term Memory (LSTM). This approach is particularly useful in the…
Continue readingThe paper by Dasgupta, Shakib, and Rahman validates a sensor fusion-based Global Navigation Satellite System (GNSS) spoofing attack detection framework for Autonomous Vehicles (AVs). The framework uses inertial sensor data…
Continue readingThe study provides an approach for automatic video description, particularly focusing on manipulation actions. Unlike existing methods that generate single-sentence descriptions, the authors propose two frameworks that enable different levels…
Continue readingThis article provides a detailed overview of Named Entity Recognition (NER), a key aspect of Natural Language Processing (NLP) that identifies and classifies named entities in text. The author explores…
Continue readingThis article provides an in-depth exploration into Named Entity Recognition (NER) methods, from traditional rule-based strategies to modern transformer architectures like BERT, LSTM, and CNN. The study emphasizes domain-specific NER…
Continue readingMuhammad Shoaib Farooq and Ali Abbas from the Department of Computer Science at the University of Management and Technology, Lahore, conducted a study to generate Urdu poetry using deep-learning techniques….
Continue readingIn a world rapidly influenced by social media, understanding public sentiment is paramount. This paper dives into sentiment analysis of Twitter data from India related to the COVID-19 pandemic. By…
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