Zobrazeno 1 - 10
of 385
pro vyhledávání: '"Thangarajah P"'
Autor:
Zhang, Haoxiang, Chang, Shi, Leung, Arthur, Thangarajah, Kishanthan, Chen, Boyuan, Lutfiyya, Hanan, Hassan, Ahmed E.
The rise of Foundation Models (FMs) like Large Language Models (LLMs) is revolutionizing software development. Despite the impressive prototypes, transforming FMware into production-ready products demands complex engineering across various domains. A
Externí odkaz:
http://arxiv.org/abs/2411.09580
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:
Hassan, Ahmed E., Lin, Dayi, Rajbahadur, Gopi Krishnan, Gallaba, Keheliya, Cogo, Filipe R., Chen, Boyuan, Zhang, Haoxiang, Thangarajah, Kishanthan, Oliva, Gustavo Ansaldi, Lin, Jiahuei, Abdullah, Wali Mohammad, Jiang, Zhen Ming
Foundation models (FMs), such as Large Language Models (LLMs), have revolutionized software development by enabling new use cases and business models. We refer to software built using FMs as FMware. The unique properties of FMware (e.g., prompts, age
Externí odkaz:
http://arxiv.org/abs/2402.15943
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
Autor:
Thangarajah, Kishanthan, Mathews, Noble, Pu, Michael, Nagappan, Meiyappan, Aafer, Yousra, Chimalakonda, Sridhar
Many applications are being written in more than one language to take advantage of the features that different languages provide such as native code support, improved performance, and language-specific libraries. However, there are few static analysi
Externí odkaz:
http://arxiv.org/abs/2305.10233
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