Latest AI and machine learning research in surveys for healthcare professionals.
In the era of big data, ecological research is experiencing a transformative shift, yet big-data advancements in thermal ecology and the study of animal responses to climate conditions remain limited. This review discusses how big data analytics and artificial intelligence (AI) can significantly enhance our understanding of microclimates and animal behaviors under changing climatic conditions. We ...
In recent years, the field of electroencephalography (EEG) analysis has witnessed remarkable advancements, driven by the integration of machine learning and artificial intelligence. This survey aims to encapsulate the latest developments, focusing on emerging methods and technologies that are poised to transform our comprehension and interpretation of brain activity. We delve into self-supervise...
Stereopsis has widespread appeal in robotics as it is the predominant way by which living beings perceive depth to navigate our 3D world. Event came...
Reliability in cell type annotation is challenging in single-cell RNA-sequencing data analysis because both expert-driven and automated methods can ...
Recommender systems are essential for personalizing digital experiences on e-commerce sites, streaming services, and social media platforms. While t...
Autism Spectrum Disorder (ASD) affects children's social and communication abilities, with eye-tracking widely used to identify atypical gaze patter...
This research dives into exploring the dark mode effects on students of a university. Research is carried out implementing the dark mode in e-Learni...
With the growing adoption of Text-to-Image (TTI) systems, the social biases of these models have come under increased scrutiny. Herein we conduct a ...
In the real world, where information is abundant and diverse across different modalities, understanding and utilizing various data types to improve ...
Reliable uncertainty estimation has become a crucial requirement for the industrial deployment of deep learning algorithms, particularly in high-ris...
Large language models (LLMs) increasingly reach real-world applications, necessitating a better understanding of their behaviour. Their size and com...
Large Language Models (LLMs) are computational models capable of performing complex natural language processing tasks. Leveraging these capabilities...
Shadows are created when light encounters obstacles, resulting in regions of reduced illumination. In computer vision, detecting, removing, and gene...
Machine learning (ML) classifiers serve as essential tools facilitating classification and prediction across various domains. The performance of the...
The explosive growth of multimedia content in the digital economy era has brought challenges in content recognition, copyright protection, and data ...
Drowsiness detection holds paramount importance in ensuring safety in workplaces or behind the wheel, enhancing productivity, and healthcare across ...
The rapid advancements in AI technologies have revolutionized the production of graphical content across various sectors, including entertainment, a...
Artificial Intelligence (AI) projects in healthcare, particularly in nursing, currently gain relevance but encounter challenges in user acceptance. Ac...
The paper discusses biases in medical imaging analysis, particularly focusing on the challenges posed by the development of machine learning algorithm...
The rapid development of text-to-image generation has brought rising ethical considerations, especially regarding gender bias. Given a text prompt a...