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Performance optimization in wireless sensor networks: a novel collaborative compressed sensing approach
M Behzad, Y Ge - 2017 IEEE 31st International Conference on …, 2017 - ieeexplore.ieee.org
In this paper, we present need-based clustering (NbC) with dynamic sink mobility (DSM-
NbC) scheme for WSNs using a collaborative compressed sensing approach. The scheme …
NbC) scheme for WSNs using a collaborative compressed sensing approach. The scheme …
Meta-optimization of deep cnn for image denoising using lstm
The recent application of deep learning (DL) to various tasks has seen the performance of
classical techniques surpassed by their DL-based counterparts. As a result, DL has equally …
classical techniques surpassed by their DL-based counterparts. As a result, DL has equally …
Performance optimization in IoT-based next-generation wireless sensor networks
M Behzad, M Abdullah, MT Hassan, Y Ge… - Transactions on …, 2019 - Springer
In this paper, we propose a novel framework for performance optimization in Internet of
Things (IoT)-based next-generation wireless sensor networks. In particular, a …
Things (IoT)-based next-generation wireless sensor networks. In particular, a …
Toward performance optimization in IoT-based next-Gen wireless sensor networks
M Behzad, M Abdullah, MT Hassan, Y Ge… - arxiv preprint arxiv …, 2018 - arxiv.org
In this paper, we propose a novel framework for performance optimization in Internet of
Things (IoT)-based next-generation wireless sensor networks. In particular, a …
Things (IoT)-based next-generation wireless sensor networks. In particular, a …
Dense-sparse deep CNN training for image denoising
Recently, deep learning (DL) methods such as convolutional neural networks (CNNs) have
gained prominence in the area of image denoising. This is owing to their proven ability to …
gained prominence in the area of image denoising. This is owing to their proven ability to …
Layer-adaptive communication and collaborative transformed-domain representations to optimize performance in next-generation WSNs
M Behzad, M Abdullah, MT Hassan… - 2018 IEEE 32nd …, 2018 - ieeexplore.ieee.org
In this paper, we combat the problem of performance optimization in wireless sensor
networks of next-generation and beyond. Specifically, a novel framework is proposed to …
networks of next-generation and beyond. Specifically, a novel framework is proposed to …
Dense-Sparse Deep Convolutional Neural Networks Training for Image Denoising
Recently, deep learning methods such as the convolutional neural networks have gained
prominence in the area of image denoising. This is owing to their proven ability to surpass …
prominence in the area of image denoising. This is owing to their proven ability to surpass …
Collaborative Filtering-Based Method for Low-Resolution and Details Preserving Image Denoising
Over the years, progressive improvements in denoising performance have been achieved
by several image denoising algorithms that have been proposed. Despite this, many of …
by several image denoising algorithms that have been proposed. Despite this, many of …