Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Akilan, Thangarajah"'
The proliferation of complex deep learning (DL) models has revolutionized various applications, including computer vision-based solutions, prompting their integration into real-time systems. However, the resource-intensive nature of these models pose
Externí odkaz:
http://arxiv.org/abs/2406.17749
Recent research in deep learning (DL) has investigated the use of the Fast Fourier Transform (FFT) to accelerate the computations involved in Convolutional Neural Networks (CNNs) by replacing spatial convolution with element-wise multiplications on t
Externí odkaz:
http://arxiv.org/abs/2406.00290
Autor:
Vachhani, Hrishikesh, Akilan, Thangarajah, Devmurari, Yash, Shaik, Nisharaff, Patel, Dhruvisha
Pedestrian detection has become a cornerstone for several high-level tasks, including autonomous driving, intelligent transportation, and traffic surveillance. There are several works focussed on pedestrian detection using visible images, mainly in t
Externí odkaz:
http://arxiv.org/abs/2311.08557
Autor:
Hosseini, Siavash, Akilan, Thangarajah
Global oil demand is rapidly increasing and is expected to reach 106.3 million barrels per day by 2040. Thus, it is vital for hydrocarbon extraction industries to forecast their production to optimize their operations and avoid losses. Big companies
Externí odkaz:
http://arxiv.org/abs/2308.16105
Brain tumor segmentation from magnetic resonance imaging (MRI) plays an important role in diagnostic radiology. To overcome the practical issues in manual approaches, there is a huge demand for building automatic tumor segmentation algorithms. This w
Externí odkaz:
http://arxiv.org/abs/2302.05598
Studies show that Studies that cardiovascular diseases (CVDs) are malignant for human health. Thus, it is important to have an efficient way of CVD prognosis. In response to this, the healthcare industry has adopted machine learning-based smart solut
Externí odkaz:
http://arxiv.org/abs/2208.00296
Autor:
Li, Jun, Akilan, Thangarajah
Temperature monitoring is critical for electrical motors to determine if device protection measures should be executed. However, the complexity of the internal structure of Permanent Magnet Synchronous Motors (PMSM) makes the direct temperature measu
Externí odkaz:
http://arxiv.org/abs/2208.00293
Autor:
Akilan, Thangarajah
The coronavirus continues to disrupt our everyday lives as it spreads at an exponential rate. It needs to be detected quickly in order to quarantine positive patients so as to avoid further spread. This work proposes a new convolutional neural networ
Externí odkaz:
http://arxiv.org/abs/2106.12157
Simultaneous localization and mapping (SLAM) is used to predict the dynamic motion path of a moving platform based on the location coordinates and the precise mapping of the physical environment. SLAM has great potential in augmented reality (AR), au
Externí odkaz:
http://arxiv.org/abs/2101.01158
Autor:
Pandya, Apurva, Samuel, Catherine, Patel, Nisargkumar, Patel, Vaibhavkumar, Akilan, Thangarajah
One of the most important tasks in medical image processing is the brain's whole tumor segmentation. It assists in quicker clinical assessment and early detection of brain tumors, which is crucial for lifesaving treatment procedures of patients. Beca
Externí odkaz:
http://arxiv.org/abs/2009.06115