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5,296 results on '"Ansari, Mohammad A"'

2. FireLite: Leveraging Transfer Learning for Efficient Fire Detection in Resource-Constrained Environments

Author

Hasan, Mahamudul, Prince, Md Maruf Al Hossain, Ansari, Mohammad Samar, Jahan, Sabrina, Miah, Abu Saleh Musa, and Shin, Jungpil

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Fire hazards are extremely dangerous, particularly in sectors such as the transportation industry, where political unrest increases the likelihood of their occurrence. By employing IP cameras to facilitate the setup of fire detection systems on transport vehicles, losses from fire events may be prevented proactively. However, the development of lightweight fire detection models is required due to the computational constraints of the embedded systems within these cameras. We introduce FireLite, a low-parameter convolutional neural network (CNN) designed for quick fire detection in contexts with limited resources, in response to this difficulty. With an accuracy of 98.77\%, our model -- which has just 34,978 trainable parameters achieves remarkable performance numbers. It also shows a validation loss of 8.74 and peaks at 98.77 for precision, recall, and F1-score measures. Because of its precision and efficiency, FireLite is a promising solution for fire detection in resource-constrained environments.

Published
2024

3. A Cutting-Edge Deep Learning Method For Enhancing IoT Security

Author

Ansar, Nadia, Ansari, Mohammad Sadique, Sharique, Mohammad, Khatoon, Aamina, Malik, Md Abdul, and Siddiqui, Md Munir

Subjects
Computer Science - Artificial Intelligence, Computer Science - Cryptography and Security
Abstract

There have been significant issues given the IoT, with heterogeneity of billions of devices and with a large amount of data. This paper proposed an innovative design of the Internet of Things (IoT) Environment Intrusion Detection System (or IDS) using Deep Learning-integrated Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks. Our model, based on the CICIDS2017 dataset, achieved an accuracy of 99.52% in classifying network traffic as either benign or malicious. The real-time processing capability, scalability, and low false alarm rate in our model surpass some traditional IDS approaches and, therefore, prove successful for application in today's IoT networks. The development and the performance of the model, with possible applications that may extend to other related fields of adaptive learning techniques and cross-domain applicability, are discussed. The research involving deep learning for IoT cybersecurity offers a potent solution for significantly improving network security.

Published
2024

5. Lattice Hamiltonians and Stray Interactions Within Quantum Processors

Author

Xu, Xuexin, Manabputra, Vignes, Chloé, Ansari, Mohammad H., and Martinis, John

Subjects
Quantum Physics
Abstract

Unintended interactions between qubits, known as stray couplings, negatively impact gate operations, leading to errors. This study highlights the significance of incorporating the lattice Hamiltonian into quantum circuit design. By comparing the intensity of three-body versus two-body stray couplings, we identify non-trivial circuit parameter domains that help to enhance fidelity of two-qubit gates. Additionally, we demonstrate instances where three-body ZZZ interactions surpass two-body ZZ interactions within the parameter space relevant to quantum computing, indicating the potential use of lattice Hamiltonian for designing novel multi-qubit gates essential for advancing quantum computing technologies.

Published
2024

18. A note on Carleson sets and Carleson windows

Author

Ansari, Mohammad

Subjects
Mathematics - Complex Variables, 51M04 (Primary) 97I80 (Secondary)
Abstract

Let $\Bbb D$ be the open unit disk in the complex plane. In this note, for the Carleson set $S(b,h)$ and the Carleson window $W(b,h)$ which are particular subsets of $\Bbb D$, we find conditions on $h$ under which we have $W(b,h/c)\subset S(b,h)\subset W(b,ch)$ for some $c>1$.

Published
2024

29. Three results in linear dynamics

Author

Ansari, Mohammad

Subjects
Mathematics - Functional Analysis, 47A16 (Primary) 46E10 (Secondary)
Abstract

In this article, first we show that the Fr\'echet space $H(\Bbb D)$ cannot support strongly supercyclic weighted composition operators. Then we compute the constant $\epsilon$ for weighted backward shifts on $\ell^p$ ($1\le p<\infty$) and $c_0$. This constant is used to find strongly hypercyclic scalar multiples of non-invertible strongly supercyclic Banach space operators. Finally, we give an affirmative answer to a recent open question concerning supercyclic vectors.

Published
2023

33. Dynamics of unbounded linear operators

Author

Ansari, Mohammad

Subjects
Mathematics - Functional Analysis, 47A16, 47B38
Abstract

We apply the well-known and also the newly introduced notions from bounded linear dynamics to unbounded linear operators. We present a hypermixing criterion similar to that given for bounded linear operators and then we show that the derivative operator in $H^2$, the Laplacian operator in $L^2(\Omega)$, and all unbounded weighted translations in $L_p(0,\infty)$ and $C_0[0,\infty)$ are hypermixing.

Published
2023

38. Bio-inspired Nanomaterials in Cancer Theranostics

Author

Kaushik, Monika, Kumar, Sanjesh, Singh, Mansi, Sharma, Himanshu, Bhowmick, Mithun, Bhowmick, Pratibha, Ashique, Sumel, Khatoon, Heya, Pal, Radheshyam, Ansari, Mohammad Azam, Barkat, Md. Abul, editor, Ahmad, Farhan Jalees, editor, Rahman, Mohammad Akhlaquer, editor, and Ansari, Mohammad Azam, editor

Published
2024
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