Md. Imran Hossain

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• Doctor of Engineering
• Associate Professor at Pabna University of Science and Technology

The increasing ability of internet-connected daily life electronic gadgets has propelled smart homes into a global trend. The Internet of Things (IoT) enables ambient devices to communicate and interact seamlessly through various sensors. Emerging technical concepts like Web3 and Industry 5.0 require decentralised and intelligent systems near the n...

Emotion recognition from speech is a critical component of human-computer interaction and has numerous applications in various domains, including healthcare, customer service, and entertainment. Speech Emotion Recognition (SER) is complex and challenging because different speakers exhibit distinct emotional nuances. The functionality of SER systems...

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 to develop more effective techniques for recognizing these hand gestures. However, there are challe...

Automated image caption generation with attention mechanisms focuses on visual features including objects, attributes, actions, and scenes of the image to understand and provide more detailed captions, which attains great attention in the multimedia field. However, deciding which aspects of an image to highlight for better captioning remains a chal...

Speech is essential to human communication; therefore, distinguishing it from noise is crucial. Speech separation becomes challenging in real-world circumstances with background noise and overlapping speech. Moreover, the speech separation using short-term Fourier transform (STFT) and discrete wavelet transform (DWT) addresses time and frequency re...

Recently, there have been notable advancements in wireless communication systems to address the deficiencies of fourth generation (4G) wireless technology, such as insufficient spectrum bandwidth, slow data transfer rates, and constrained network capacity. These issues may be addressed in fifth generation (5G) wireless technology, which is no longe...

Single channel speech separation (SS) is highly significant in many real-world speech processing applications such as hearing aids, automatic speech recognition, control humanoid robots, and cocktail-party issues. The performance of the SS is crucial for these applications, but better accuracy has yet to be developed. Some researchers have tried to...

Caption generation using an encoder-decoder approach has recently been extensively studied and implemented in various domains, including image captioning and code captioning. In this research article, we propose one particular approach for completing a capture generation task using an “attention”-based sequence-to-sequence framework that, when comb...

Image captioning is a fast-growing research field of computer vision and natural language processing that involves creating text explanations for images. This study aims to develop a system that uses a pre-trained convolutional neural network (CNN) to extract features from an image, integrates the features with an attention mechanism, and creates c...

In this article, we propose a new source separation method in which the dual-tree complex wavelet transform (DTCWT) and short-time Fourier transform (STFT) algorithms are used sequentially as dual transforms and sparse nonnegative matrix factorization (SNMF) is used to factorize the magnitude spectrum. STFT-based source separation faces issues rela...

Security and privacy have been continuously compromised in the modern multimedia network by various signal processing attacks. As a result, digital data owners are losing copyright protection, data security, and content authentication. A secure and robust digital watermarking scheme must protect digital works from the copyright and neutralize and c...

Single-channel speech dereverberation and separation has been a challenging problem and is of high significance in speech processing applications. Many researchers have tried to address this problem separately , either investigating speech dereverberation or separation. Most of the available literature on joint dereverberation and separation resear...

In this paper, we propose a novel single-channel speech enhancement algorithm that applies dual-domain transforms comprising of dual-tree complex wavelet transform (DTCWT) and short-time Fourier transform (STFT) with a sparse non-negative matrix factorization (SNMF). The first domain belongs to the DTCWT, which is utilized on the time domain signal...

Face recognition is truly one of the demanding fields of biometric image processing system. Within this paper, we have implemented Back Propagation Neural Network for face recognition using MATLAB, where feature extraction and face identification system completely depend on Principal Component Analysis (PCA). Face images are multidimensional and...

Medical image processing is the most important and challenging field now a days. MRI image processing is one of the parts of this field. Brain tumour segmentation in magnetic resonance imaging (MRI) has become an emergent research area in the field of medical imaging system. In this paper we proposed a variational level set method and some morpholo...

Wireless sensor networks have recently emerged as important computing platform. These sensors are power-limited and have limited computing resources. Therefore the sensor energy has to be managed wisely in order to maximize the lifetime of the network. Simply speaking, LEACH requires the knowledge of energy for every node in the network topology us...