[HTML][HTML] Multimodal medical image fusion algorithm in the era of big data

W Tan, P Tiwari, HM Pandey, C Moreira… - Neural Computing and …, 2020 - Springer
In image-based medical decision-making, different modalities of medical images of a given
organ of a patient are captured. Each of these images will represent a modality that will …

[HTML][HTML] Diagnosis of breast cancer based on modern mammography using hybrid transfer learning

A Khamparia, S Bharati, P Podder, D Gupta… - … systems and signal …, 2021 - Springer
Breast cancer is a common cancer in women. Early detection of breast cancer in particular
and cancer, in general, can considerably increase the survival rate of women, and it can be …

[HTML][HTML] A smart ontology-based IoT framework for remote patient monitoring

N Sharma, M Mangla, SN Mohanty, D Gupta… - … Signal Processing and …, 2021 - Elsevier
Abstract The Internet of Things (IoT) is the most promising technology in health technology
systems. IoT-based systems ensure continuous monitoring in indoor and outdoor settings …

Toward 6G architecture for energy-efficient communication in IoT-enabled smart automation systems

AH Sodhro, S Pirbhulal, Z Luo… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Energy-efficient communication has become the center of attention from various
interdisciplinary fields, such as industrial automation, healthcare, and transportation, among …

[HTML][HTML] Deep learning and evolutionary intelligence with fusion-based feature extraction for detection of COVID-19 from chest X-ray images

K Shankar, E Perumal, P Tiwari, M Shorfuzzaman… - Multimedia …, 2022 - Springer
In recent times, COVID-19 infection gets increased exponentially with the existence of a
restricted number of rapid testing kits. Several studies have reported the COVID-19 …

Electrocardiogram signal compression using tunable-Q wavelet transform and meta-heuristic optimization techniques

HS Pal, A Kumar, A Vishwakarma… - … Signal Processing and …, 2022 - Elsevier
Electrocardiogram (ECG) signals are the biomedical signals commonly used in the
prognosis of cardiovascular diseases. ECG recordings need to be stored and transferred …

Deep learning-based smart IoT health system for blindness detection using retina images

AK Jaiswal, P Tiwari, S Kumar, MS Al-Rakhami… - IEEE …, 2021 - ieeexplore.ieee.org
Deep Learning-based Smart Healthcare is getting so much attention due to real-time
applicability in everyone life's, and It has obtained more attention with the convergence of …

[PDF][PDF] Compression-based data reduction technique for IoT sensor networks

SA Abdulzahra, AKM Al-Qurabat, AK Idrees - Baghdad Science Journal, 2021 - iasj.net
Energy savings are very common in IoT sensor networks because IoT sensor nodes operate
with their own limited battery. The data transmission in the IoT sensor nodes is very costly …

Origins of ECG and evolution of automated DSP techniques: a review

N Arora, B Mishra - IEEE Access, 2021 - ieeexplore.ieee.org
Over the years, researchers have studied the evolution of Electrocardiogram (ECG) and the
complex classification of cardiovascular diseases. This review focuses on the evolution of …

Efficient cnn architecture on fpga using high level module for healthcare devices

AK Jameil, H Al-Raweshidy - IEEE Access, 2022 - ieeexplore.ieee.org
Modern wearable healthcare devices require new technologies with resource efficiency in
terms of high performance, low energy consumption and diagnostic accuracy. In the field of …