Transformer models such as BERT and Robustly Optimized BERT (RoBERTa) are popular choices for text processing in Natural Language Processing (NLP). However, these models cannot be used for the entirety of the contents ...

This research work delves into the manifestation of hallucination within Large Language Models (LLMs) and its consequential impacts on applications within the domain of mental health. Hallucinations, characterized by the ...

Cephalometric analysis is a cornerstone of modern orthodontics, enabling precise diagnosis and treatment planning by identifying key morphometric landmarks. Since manual identification of these landmarks is labor-intensive ...

When training an agent for either path planning or Simultaneous Localization and Mapping (SLAM), datasets that include various scenarios according to the agent’s physical limitations are required. Although there are a ...

In this modern era, Militaries are equipped with advanced communication equipment’s to conduct the intense communication activities by using satellite radio, antennas, Global Positioning System ‘GPS’, handheld sets, Inmarsat, ...

Deforestation is one of the most challenging issue that we are dealing with as of today. The effects of complete deforestation have started to show up so now governments and authorities have started to take firm measures ...

Modern computer vision tasks rely heavily on extensive training data for accurate classification. However, the collection and annotation of such data can be impractical. To address this challenge, zero-shot learning (ZSL) ...

Federated learning (FL) is a powerful, privacy-preserving machine learning (ML) technique that trains models across edge devices without centralizing data, ensuring enhanced privacy and optimizing bandwidth. Over-the-air ...

In recent decades, optical transmission systems have undergone a revolutionary trans formation, driven by the surging demands of global internet traffic and bandwidth intensive applications. Technologies like software-defined ...

Reconfigurable intelligent surfaces (RISs), with the potential to realize smart radio environments (SREs), have emerged as an energy-efficient and a cost-effective technology to support the services and demands foreseen ...