Uncovering local aggregated air quality index with smartphone captured images leveraging efficient deep convolutional neural network

1 code implementation • 6 Aug 2023 • Joyanta Jyoti Mondal, Md. Farhadul Islam, Raima Islam, Nowsin Kabir Rhidi, Sarfaraz Newaz, Meem Arafat Manab, A. B. M. Alim Al Islam, Jannatun Noor

Our research involves the development of a Deep Convolutional Neural Network (DCNN), which we train using over a thousand outdoor images taken and annotated.

Let's Vibrate with Vibration: Augmenting Structural Engineering with Low-Cost Vibration Sensing

no code implementations • 8 Dec 2020 • Masfiqur Rahaman, MD. Nazmul Hasan Sakib, Nafisa Islam, Saiful Islam Salim, Uday Kamal, Raihan Rasheed, A. B. M. Alim Al Islam

Nonetheless, in the rarely explored time domain, our analyses reveal a novel modality of relation between vibration generated at different heights of a structure and the associated height, which was explored in the frequency domain earlier in the literature with expensive sensors.

Enhancing Fidelity of Quantum Cryptography using Maximally Entangled Qubits

no code implementations • 9 Sep 2020 • Saiful Islam Salim, Adnan Quaium, Sriram Chellappan, A. B. M. Alim Al Islam

Then, using the qubits with maximal entanglement, we send the modified encryption key to the receiver.

Cryptography and Security

As You Are, So Shall You Move Your Head: A System-Level Analysis between Head Movements and Corresponding Traits and Emotions

no code implementations • 11 Oct 2019 • Sharmin Akther Purabi, Rayhan Rashed, Md. Mirajul Islam, Md. Nahiyan Uddin, Mahmuda Naznin, A. B. M. Alim Al Islam

Identifying physical traits and emotions based on system-sensed physical activities is a challenging problem in the realm of human-computer interaction.