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Article
XcepCovidNet: deep neural networks-based COVID-19 diagnosis
Coronavirus (also known as COVID-19) is an extremely contagious disease spreading around the globe. An efficient and fast diagnostic method must be designed to identify COVID-19 patients. There are several met...
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Article
A Systematic Literature Review on Multimodal Medical Image Fusion
Medical image fusion is a relevant area with widespread application in disease diagnosis and prediction with easily available image scans of Computed Tomography, Positron Emission Tomography, Magnetic Resonanc...
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Article
Rayleigh-Type Waves in Microstretch Elastic Solid Half-Space Containing Voids
Propagation of Rayleigh-type surface waves is investigated in a microstretch elastic solid half-space containing voids. Dispersion relation is obtained using stress-free surface boundary conditions and found t...
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Article
Computational deep air quality prediction techniques: a systematic review
The escalating population and rapid industrialization have led to a significant rise in environmental pollution, particularly air pollution. This has detrimental effects on both the environment and human healt...
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Article
Rapid COVID-19 diagnosis using ensemble deep transfer learning models from chest radiographic images
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes novel coronavirus disease (COVID-19) outbreak in more than 200 countries around the world. The early diagnosis of infected patients is ne...
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Article
Open AccessReflection of plane waves from the stress-free boundary of a nonlocal elastic solid half-space containing double porosity
Reflection phenomena of a set of coupled longitudinal waves/shear wave striking obliquely against the mechanically stress-free boundary surface of a uniform nonlocal elastic solid half-space with double porosi...
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Chapter and Conference Paper
A Blockchain Solution for Secure Health Record Access with Enhanced Encryption Levels and Improvised Consensus Verification
Blockchain can be depicted as a permanent record, logging information in a decentralized way. This new innovation has been proposed to widen the horizons of information-driven spaces, including the medical inf...
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Chapter and Conference Paper
Master Data Management Maturity Evaluation: A Case Study in Educational Institute
To deal with an organization’s essential data as a single coherent system, Master Data Management is essential. It links all the critical data as a unified version of truth known as “Master data”. It is respon...
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Article
A Systematic Review on Acute Leukemia Detection Using Deep Learning Techniques
Acute leukemia is a cancer that starts in the bone marrow and is characterized by an abnormal growth of white blood cells. It is a disease that affects people all over the world. Hematologist study blood smear...
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Article
Trigonometric mutation and successful-parent-selection based adaptive asynchronous differential evolution
Asynchronous differential evolution (ADE) supports parallel optimization and effective exploration. The updation in population is done immediately when a vector with better fitness is found in ADE algorithm. T...
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Article
Open AccessMRBSChain a novel scalable medical records binance smart chain framework enabling a paradigm shift in medical records management
Medical records management had always been a challenging in healthcare sector. Traditionally, medical records are handled either manually or electronically that are under the stewardship of hospitals/healthcar...
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Article
Comprehensive Review of Orthogonal Regression and Its Applications in Different Domains
Orthogonal regression is one of the prominent approaches for linear regression used to adjust the estimate of predictor errors. It can be considered as a least square regression with orthogonal constraints. It...
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Article
A Systematic Review of Metaheuristic-based Image Encryption Techniques
Image encryption protects the sensitive and confidential information of images. This protection comes from the combination of secret keys, encryption, and decryption algorithms. Chaotic maps are widely utilize...
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Article
Performance analysis of all optical contention detection circuit for high speed optical access networks
In this paper, all optical contention detection circuit based on Kerr nonlinearities in semiconductor optical amplifier (SOA) has been proposed and demonstrated for 120 Gbps NRZ modulation formats. In the prop...
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Article
Improved seven-dimensional (i7D) hyperchaotic map-based image encryption technique
With the advancements in Internet technologies, a huge amount of images are transferred over the public networks. Therefore, during the transmission process, the images are prone to various security threats. T...
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Article
Improved seven-dimensional (i7D) hyperchaotic map-based image encryption technique
With the advancements in Internet technologies, a huge amount of images are transferred over the public networks. Therefore, during the transmission process, the images are prone to various security threats. T...
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Chapter and Conference Paper
A Novel Compressed and Accelerated Convolution Neural Network for COVID-19 Disease Classification: A Genetic Algorithm Based Approach
Covid 19 is an infectious disease caused by SARS-Cov-2 virus. It generally affects respiratory system of human and can be fatal if not treated early. It can be caused by coming in contact with an infected pers...
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Chapter and Conference Paper
A Master Data Management Solution for Building Frameworks: A Constructive Way to Pilot the Implementation
In today’s age of information technology, the frameworks like enterprise resource planning (ERP) and customer relationship management (CRM) collect the data from various sources. The data can be duplicate, fra...
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Chapter and Conference Paper
Exploring Correlation Between Linear and Non-linear Features of Short-Term Heart Rhythm Fluctuations During Internally and Externally Operative Attention
This paper investigates the correlation between linear and non-linear features of short-term heart rhythm fluctuations during internally and externally operative attention. Posner’s spatial cueing paradigm was...
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Chapter and Conference Paper
Performance Analysis of Wavelet Filters for Heart Rate Variability Analysis
Heart rate variability (HRV) analysis yields important insights into the understanding of physiological mechanisms. The HRV analysis is a powerful tool for risk prediction in heart diseases. Most common method...
