Zobrazeno 1 - 10
of 158 844
pro vyhledávání: '"Hossain A."'
Autor:
Rahim, Md Abdur, Miah, Abu Saleh Musa, Akash, Hemel Sharker, Shin, Jungpil, Hossain, Md. Imran, Hossain, Md. Najmul
In the modern context, hand gesture recognition has emerged as a focal point. This is due to its wide range of applications, which include comprehending sign language, factories, hands-free devices, and guiding robots. Many researchers have attempted
Externí odkaz:
http://arxiv.org/abs/2408.08035
Autor:
Islam, Hasan Zohirul, Khan, Safayet, Paul, Sanjib Kumar, Rahi, Sheikh Imtiaz, Sifat, Fahim Hossain, Sany, Md. Mahadi Hasan, Sarker, Md. Shahjahan Ali, Anam, Tareq, Polas, Ismail Hossain
Absence of tamper-proof cattle identification technology was a significant problem preventing insurance companies from providing livestock insurance. This lack of technology had devastating financial consequences for marginal farmers as they did not
Externí odkaz:
http://arxiv.org/abs/2407.06096
Autor:
Rahman, Md. Mahfuzur, Siddique, Sunzida, Kamal, Marufa, Rifat, Rakib Hossain, Gupta, Kishor Datta
Unmanned Aerial Vehicles (UAVs), have greatly revolutionized the process of gathering and analyzing data in diverse research domains, providing unmatched adaptability and effectiveness. This paper presents a thorough examination of Unmanned Aerial Ve
Externí odkaz:
http://arxiv.org/abs/2409.03245
Autor:
Chatterjee, Kaustav, Hossain, Ramij Raja, Nandanoori, Sai Pushpak, Kundu, Soumya, Sinha, Subhrajit, Baldwin, Diane, Melton, Ronald
The paper presents a theoretical study on small-signal stability and damping in bulk power systems with multiple grid-forming inverter-based storage resources. A detailed analysis is presented, characterizing the impacts of inverter droop gains and s
Externí odkaz:
http://arxiv.org/abs/2409.03244
Modern-day power systems have become increasingly cyber-physical due to the ongoing developments to the grid that include the rise of distributed energy generation and the increase of the deployment of many cyber devices for monitoring and control, s
Externí odkaz:
http://arxiv.org/abs/2409.03163
The black-box nature of Convolutional Neural Networks (CNNs) and their reliance on large datasets limit their use in complex domains with limited labeled data. Physics-Guided Neural Networks (PGNNs) have emerged to address these limitations by integr
Externí odkaz:
http://arxiv.org/abs/2409.02081
Scaling laws dictate that the performance of AI models is proportional to the amount of available data. Data augmentation is a promising solution to expanding the dataset size. Traditional approaches focused on augmentation using rotation, translatio
Externí odkaz:
http://arxiv.org/abs/2409.00547
Detecting counterfeit integrated circuits (ICs) in unreliable supply chains demands robust tracking and authentication. Physical Unclonable Functions (PUFs) offer unique IC identifiers, but noise undermines their utility. This study introduces the Pe
Externí odkaz:
http://arxiv.org/abs/2408.16950
Autor:
Ahamed, Molla Basir, Hossain, Rajesh
Let $\mathcal{A}$ be the class of all analytic functions $f$ defined on the open unit disk $\mathbb{D}$ with the normalization $f(0)=0=f^{\prime}(0)-1$. This paper examines the radius of concavity for various subclasses of $\mathcal{A}$, namely $\mat
Externí odkaz:
http://arxiv.org/abs/2408.15544
Autor:
Biswas, Amrijit, Hossain, Md. Ismail, Elahi, M M Lutfe, Cheraghian, Ali, Rahman, Fuad, Mohammed, Nabeel, Rahman, Shafin
A point cloud is a crucial geometric data structure utilized in numerous applications. The adoption of deep neural networks referred to as Point Cloud Neural Networks (PC- NNs), for processing 3D point clouds, has significantly advanced fields that r
Externí odkaz:
http://arxiv.org/abs/2408.14601