Medical image segmentation is a pivotal technique in modern medical imaging, essential for enhancing diagnosis accuracy and patient care. This study explores the application of four advanced deep learning models - DermoSegDiff, ...

A memory efficient filter based iterative algorithm is proposed for a two-player zero sum linear differential game problem arising in the control of process systems affected by disturbances.The objective in such a scenario ...

The oral microbiome is a complex ecosystem of bacteria, viruses, fungi, and other microorganisms that reside in the mouth. There has been growing interest in studying the oral microbiome in recent years, as it has been ...

Nowadays, mobile devices are loaded with many useful sensors and have high computational capabilities. The sensors available on these devices provide valuable data that can be harnessed in many ways. Due to abundance of ...

Minute paper or One minute paper is one of the old exercises that is commonly used in classroom assessment. In this technique, students are asked to fill out responses based on their learnings at the end of a lecture in ...

Medical illnesses such as bipolar disorder, schizophrenia, depression are of great concern in today's time. Mental patients require long term treatment and a caregiver who is there to adhere to their needs. Medical conditions ...

Argument mining is a rising research area in natural language processing, the goal of which is to extract argumentative structures from natural language texts. Such components contain a lot of information not only limited ...

The prediction of multi-agent behavior is crucial for the development of advanced human-robot interactive systems, particularly in domains like self-driving cars. Existing trajectory forecasting methods often lack the ...

Multimodal sensor fusion is a technique which combines data from multiple sensors for applying the combined data in an effective manner which would provide a better understandning of the environment. In some cases such as ...

Modality refers to how something happens or is experienced. It is the representation format in which information is stored. Multimodal Learning involves relating information from multiple sources. Many modalities are ...