Zobrazeno 1 - 10
of 3 062
pro vyhledávání: '"Fathima, P."'
Autor:
Binu, Sona, Jose, Jismi, K V, Fathima Shimna, Hans, Alino Luke, Cherian, Reni K., Alex, Starlet Ben, Srivastava, Priyanka, Yarra, Chiranjeevi
The people with Major Depressive Disorder (MDD) exhibit the symptoms of tonal variations in their speech compared to the healthy counterparts. However, these tonal variations not only confine to the state of MDD but also on the language, which has un
Externí odkaz:
http://arxiv.org/abs/2409.14769
Navigating through a new indoor environment can be stressful. Recently, many places have deployed robots to assist visitors. One of the features of such robots is escorting the visitors to their desired destination within the environment, but this is
Externí odkaz:
http://arxiv.org/abs/2408.15367
We study best-response type learning dynamics for two player zero-sum matrix games. We consider two settings that are distinguished by the type of information that each player has about the game and their opponent's strategy. The first setting is the
Externí odkaz:
http://arxiv.org/abs/2407.20128
Community parks play a crucial role in promoting physical activity and overall well-being. This study introduces DLICP (Deep Learning Integrated Community Parks), an innovative approach that combines deep learning techniques specifically, face recogn
Externí odkaz:
http://arxiv.org/abs/2407.04986
The flip Stiefel manifolds (FV_{m,2s}) are defined as the quotient of the real Stiefel manifolds (V_{m,2s}) induced by the simultaneous pairwise flipping of the co-ordinates by the cyclic group of order 2. We calculate the complex (K)-ring of the fli
Externí odkaz:
http://arxiv.org/abs/2404.15803
Autor:
Sebastian, Abhishek, A, Annis Fathima, R, Pragna, S, Madhan Kumar, G, Yaswanth Kannan, Murali, Vinay
Our paper introduces a robust framework for the automated identification of diseases in plant leaf images. The framework incorporates several key stages to enhance disease recognition accuracy. In the pre-processing phase, a thumbnail resizing techni
Externí odkaz:
http://arxiv.org/abs/2402.17424
Autor:
Habibian, Amirhossein, Ghodrati, Amir, Fathima, Noor, Sautiere, Guillaume, Garrepalli, Risheek, Porikli, Fatih, Petersen, Jens
This work aims to improve the efficiency of text-to-image diffusion models. While diffusion models use computationally expensive UNet-based denoising operations in every generation step, we identify that not all operations are equally relevant for th
Externí odkaz:
http://arxiv.org/abs/2312.08128
Autor:
Rahman, Fathima Abdul, Lu, Guang
Owing to the recent developments in Generative Artificial Intelligence (GenAI) and Large Language Models (LLM), conversational agents are becoming increasingly popular and accepted. They provide a human touch by interacting in ways familiar to us and
Externí odkaz:
http://arxiv.org/abs/2310.18363
In the era of advanced artificial intelligence and human-computer interaction, identifying emotions in spoken language is paramount. This research explores the integration of deep learning techniques in speech emotion recognition, offering a comprehe
Externí odkaz:
http://arxiv.org/abs/2310.12851
A well known quotient of the real Stiefel manifold is the projective Stiefel manifold. We introduce a new family of quotients of the real Stiefel manifold by cyclic group of order 2 whose action is induced by simultaneous pairwise flipping of the coo
Externí odkaz:
http://arxiv.org/abs/2308.12702