Zobrazeno 1 - 10
of 149 341
pro vyhledávání: '"A Arif"'
Autor:
Arif, Samee, Arif, Taimoor, Haroon, Muhammad Saad, Khan, Aamina Jamal, Raza, Agha Ali, Athar, Awais
This paper introduces the concept of an education tool that utilizes Generative Artificial Intelligence (GenAI) to enhance storytelling for children. The system combines GenAI-driven narrative co-creation, text-to-speech conversion, and text-to-video
Externí odkaz:
http://arxiv.org/abs/2409.11261
Self-supervised learning systems have gained significant attention in recent years by leveraging clustering-based pseudo-labels to provide supervision without the need for human annotations. However, the noise in these pseudo-labels caused by the clu
Externí odkaz:
http://arxiv.org/abs/2410.14242
This paper presents an analysis of biases in open-source Large Language Models (LLMs) across various genders, religions, and races. We introduce a methodology for generating a bias detection dataset using seven bias triggers: General Debate, Position
Externí odkaz:
http://arxiv.org/abs/2410.12499
The present work is an attempt to understand and review existing methods of energy generation in electric vehicles in the modern day context. Previous works in the field have proposed various mechanisms of energy generation that are very well adaptab
Externí odkaz:
http://arxiv.org/abs/2410.11737
The rapid development and expansion of the EV market marked by the advent of third decade of the 21st century has improved the possibility of a sustainable automotive future. The present EV drivetrain run by BLDC motor has become increasingly complic
Externí odkaz:
http://arxiv.org/abs/2410.11726
Acetylation of lysine residues (K-Ace) is a post-translation modification occurring in both prokaryotes and eukaryotes. It plays a crucial role in disease pathology and cell biology hence it is important to identify these K-Ace sites. In the past, ma
Externí odkaz:
http://arxiv.org/abs/2410.09968
Single-cell RNA sequencing (scRNA-seq) enables the study of cellular diversity at single cell level. It provides a global view of cell-type specification during the onset of biological mechanisms such as developmental processes and human organogenesi
Externí odkaz:
http://arxiv.org/abs/2410.09964
Text classification is a quintessential and practical problem in natural language processing with applications in diverse domains such as sentiment analysis, fake news detection, medical diagnosis, and document classification. A sizable body of recen
Externí odkaz:
http://arxiv.org/abs/2410.09399
In the field of 3D Human Pose Estimation from monocular videos, the presence of diverse occlusion types presents a formidable challenge. Prior research has made progress by harnessing spatial and temporal cues to infer 3D poses from 2D joint observat
Externí odkaz:
http://arxiv.org/abs/2410.04574
Automatic annotation of large-scale datasets can introduce noisy training data labels, which adversely affect the learning process of deep neural networks (DNNs). Consequently, Noisy Labels Learning (NLL) has become a critical research field for Conv
Externí odkaz:
http://arxiv.org/abs/2410.04256