Zobrazeno 1 - 10
of 2 296
pro vyhledávání: '"Siddiqui, Muhammad A."'
Autor:
Shaikh, Abdurrahman Javid, Abro, Abdul Ghani, Baig, Mirza Muhammad Ali, Siddiqui, Muhammad Adeel Ahmad, Abbas, Syed Mohsin
Full-vectorial finite difference method with perfectly matched layers boundaries is used to identify the single mode operation region of submicron rib waveguides fabricated using sili-con-on-insulator material system. Achieving high mode power confin
Externí odkaz:
http://arxiv.org/abs/2412.01236
Autor:
Shah, Shahid Munir, Gillani, Syeda Anshrah, Baig, Mirza Samad Ahmed, Saleem, Muhammad Aamer, Siddiqui, Muhammad Hamzah
This study investigates the use of Large Language Models (LLMs) for improved depression detection from users social media data. Through the use of fine-tuned GPT 3.5 Turbo 1106 and LLaMA2-7B models and a sizable dataset from earlier studies, we were
Externí odkaz:
http://arxiv.org/abs/2409.14794
Due to popularization of internet and e-commerce, more and more people getting involved in online shopping market. A large number of companies have been transferred to the internet where online customers have been increased due to easy access. The on
Externí odkaz:
http://arxiv.org/abs/2406.15498
Autor:
Yasir, Siddiqui Muhammad, Ahn, Hyunsik
Deep learning has been constantly improving in recent years and a significant number of researchers have devoted themselves to the research of defect detection algorithms. Detection and recognition of small and complex targets is still a problem that
Externí odkaz:
http://arxiv.org/abs/2406.14582
Recently, outstanding identification rates in image classification tasks were achieved by convolutional neural networks (CNNs). to use such skills, selective CNNs trained on a dataset of well-known images of metal surface defects captured with an RGB
Externí odkaz:
http://arxiv.org/abs/2406.14583
3D object recognition is a challenging task for intelligent and robot systems in industrial and home indoor environments. It is critical for such systems to recognize and segment the 3D object instances that they encounter on a frequent basis. The co
Externí odkaz:
http://arxiv.org/abs/2406.14581
Autor:
Yasir, Siddiqui Muhammad, Ahn, Hyunsik
The process of segmenting point cloud data into several homogeneous areas with points in the same region having the same attributes is known as 3D segmentation. Segmentation is challenging with point cloud data due to substantial redundancy, fluctuat
Externí odkaz:
http://arxiv.org/abs/2406.13308
Autor:
Siddiqui, Muhammad Yasir, Gir, Alam
The e-commerce systems are being tackled from commerce behavior and internet technologies. Therefore, trust aspect between buyer-seller transactions is a potential element which needs to be addressed in competitive e-commerce industry. The e-commerce
Externí odkaz:
http://arxiv.org/abs/2406.13303
Autor:
Yasir, Siddiqui Muhammad, Ahn, Hyunsik
There are mostly two approaches to tackle trust management worldwide Strong and crisp and Soft and Social. We analyze the impact of integrated trust mechanism in three different e-commerce services. The trust aspect is a dormant element between poten
Externí odkaz:
http://arxiv.org/abs/2406.13299
Autor:
CH, Nadeem Jabbar, Saghir, Aqib, Meer, Ayaz Ahmad, Sahi, Salman Ahmad, Hassan, Bilal, Yasir, Siddiqui Muhammad
Deepfake is a generative deep learning algorithm that creates or changes facial features in a very realistic way making it hard to differentiate the real from the fake features It can be used to make movies look better as well as to spread false info
Externí odkaz:
http://arxiv.org/abs/2406.13295