S. M. Riazul Islam
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View article: Biophysical Insights into the Binding Interactions of Inhibitors (ICA-1S/1T) Targeting Protein Kinase C-ι
Biophysical Insights into the Binding Interactions of Inhibitors (ICA-1S/1T) Targeting Protein Kinase C-ι Open
The overexpression of atypical protein kinase C-iota (PKC-ι) is a biomarker for carcinogenesis in various cells, such as glioma, ovarian, renal, etc. manifesting as a potential drug target. In previous in vitro studies, ICA-1S and ICA-1T, …
View article: Securing Blockchain Systems: A Layer-Oriented Survey of Threats, Vulnerability Taxonomy, and Detection Methods
Securing Blockchain Systems: A Layer-Oriented Survey of Threats, Vulnerability Taxonomy, and Detection Methods Open
Blockchain technology is emerging as a pivotal framework to enhance the security of internet-based systems, especially as advancements in machine learning (ML), artificial intelligence (AI), and cyber–physical systems such as smart grids a…
View article: Vision Transformer Autoencoders for Unsupervised Representation Learning: Revealing Novel Genetic Associations through Learned Sparse Attention Patterns
Vision Transformer Autoencoders for Unsupervised Representation Learning: Revealing Novel Genetic Associations through Learned Sparse Attention Patterns Open
The discovery of genetic loci associated with brain architecture can provide deeper insights into neuroscience and potentially lead to improved personalized medicine outcomes. Previously, we designed the Unsupervised Deep learning-derived …
View article: Improving Malaria diagnosis through interpretable customized CNNs architectures
Improving Malaria diagnosis through interpretable customized CNNs architectures Open
Malaria, which is spread via female Anopheles mosquitoes and is brought on by the Plasmodium parasite, persists as a serious illness, especially in areas with a high mosquito density. Traditional detection techniques, like examining blood …
View article: Target Detection Using Fused Unidentical Photonics-Based LFM Sub-Band Radar Signals With an Adaptive Feed Forward Network Equalizer
Target Detection Using Fused Unidentical Photonics-Based LFM Sub-Band Radar Signals With an Adaptive Feed Forward Network Equalizer Open
To address the challenges of costly frontend high frequency opto-electronics devices and the requirement of high bandwidth for improved range, resolution several band fusion techniques are proposed in this work. However, conventional band …
View article: A novel framework for lung cancer classification using lightweight convolutional neural networks and ridge extreme learning machine model with SHapley Additive exPlanations (SHAP)
A novel framework for lung cancer classification using lightweight convolutional neural networks and ridge extreme learning machine model with SHapley Additive exPlanations (SHAP) Open
This paper presents a novel approach that merges a lightweight parallel depth-wise separable convolutional neural network (LPDCNN) with a ridge regression extreme learning machine (Ridge-ELM) for precise classification of three lung cancer…
View article: A Holistic Analysis of Internet of Things (IoT) Security: Principles, Practices, and New Perspectives
A Holistic Analysis of Internet of Things (IoT) Security: Principles, Practices, and New Perspectives Open
Driven by the rapid escalation of its utilization, as well as ramping commercialization, Internet of Things (IoT) devices increasingly face security threats. Apart from denial of service, privacy, and safety concerns, compromised devices c…
View article: Malaria Parasite Classification from RBC Smears Using Lightweight Parallel Depthwise Separable CNN and Ridge Regression ELM by Integrating SHAP Techniques
Malaria Parasite Classification from RBC Smears Using Lightweight Parallel Depthwise Separable CNN and Ridge Regression ELM by Integrating SHAP Techniques Open
Malaria is a significant health concern worldwide, and early detection and accurate classification are essential for better treatment. This study proposes a new method that combines a lightweight parallel depth-wise separable convolutional…
View article: Drones on the Rise: Exploring the Current and Future Potential of UAVs
Drones on the Rise: Exploring the Current and Future Potential of UAVs Open
Unmanned Aerial Vehicles (UAVs) have become increasingly popular in recent years due to their versatility and affordability. This article provides an overview of the history and development of UAVs, as well as their current and potential a…
View article: A SURVEY ON MOBILE CLOUD COMPUTING PROBLEMS AND SOLUTIONS
A SURVEY ON MOBILE CLOUD COMPUTING PROBLEMS AND SOLUTIONS Open
Today, with the use of mobile devices everywhere and with the success of cloudcomputing, the concept of mobile cloud computing (MCC) has been introduced. MCC is anincorporation of cloud computing into the mobile environment. In MCC, comput…
View article: Diagnosis of Malaria Using Double Hidden Layer Extreme Learning Machine Algorithm With CNN Feature Extraction and Parasite Inflator
Diagnosis of Malaria Using Double Hidden Layer Extreme Learning Machine Algorithm With CNN Feature Extraction and Parasite Inflator Open
Malaria, a life-threatening disease worldwide, can be diagnosed using antigen tests and microscopy tests. However, both of them are erroneous and time-consuming. Therefore, a trustworthy and fast early malaria prognosis infrastructure is r…
View article: Enhancing Physical Layer Secrecy Performance for RIS-Assisted RF-FSO Mixed Wireless System
Enhancing Physical Layer Secrecy Performance for RIS-Assisted RF-FSO Mixed Wireless System Open
The reconfigurable intelligent surface (RIS) is widely recognized as an effective solution for enhancing security in wireless communications, owing to its passive reflective components and the ability to adjust signal phases. In light of t…
View article: A Survey on Consensus Algorithms in Blockchain-Based Applications: Architecture, Taxonomy, and Operational Issues
A Survey on Consensus Algorithms in Blockchain-Based Applications: Architecture, Taxonomy, and Operational Issues Open
Recently, Blockchain-based applications have become immensely popular because of limited reliance on a single entity, unlike a centralized system. However, reaching a consensus among blockchain networks is a challenging and vital aspect of…
View article: Environment Friendly Energy Cooperation in Neighboring Buildings: A Transformed Linearization Approach
Environment Friendly Energy Cooperation in Neighboring Buildings: A Transformed Linearization Approach Open
Energy consumption in residential, commercial and industrial buildings is one of the major contributors to global warming. Due to the increase in the latter, and growing global energy crisis, more attention is being paid to renewable energ…
View article: Introducing Cloud-Assisted Micro-Service-Based Software Development Framework for Healthcare Systems
Introducing Cloud-Assisted Micro-Service-Based Software Development Framework for Healthcare Systems Open
In healthcare services, application development is considered the most complex and time-consuming phase. As it is difficult to plan and time-intense, it requires high maintenance. Healthcare applications need strict compliance and the scop…
View article: A Deep Learning Model for Remaining Useful Life Prediction of Aircraft Turbofan Engine on C-MAPSS Dataset
A Deep Learning Model for Remaining Useful Life Prediction of Aircraft Turbofan Engine on C-MAPSS Dataset Open
In the era of industry 4.0, safety, efficiency and reliability of industrial machinery is an elementary concern in trade sectors. The accurate remaining useful life (RUL) prediction of an equipment in due time allows us to effectively plan…
View article: Opportunistic Relay Selection over Generalized Fading and Inverse Gamma Composite Fading Mixed Multicast Channels: A Secrecy Tradeoff
Opportunistic Relay Selection over Generalized Fading and Inverse Gamma Composite Fading Mixed Multicast Channels: A Secrecy Tradeoff Open
The secrecy performance of realistic wireless multicast scenarios can be significantly deteriorated by the simultaneous occurrence of multipath and shadowing. To resolve this security threat, in this work an opportunistic relaying-based du…
View article: On the Intercept Probability and Secure Outage Analysis of Mixed ($α$-$κ$-$μ$)-shadowed and Málaga Turbulent Model
On the Intercept Probability and Secure Outage Analysis of Mixed ($α$-$κ$-$μ$)-shadowed and Málaga Turbulent Model Open
This work deals with the secrecy performance analysis of a dual-hop RF-FSO DF relaying network composed of a source, a relay, a destination, and an eavesdropper. We assume the eavesdropper is located close to the destination and overhears …
View article: Towards Prevention of Sportsmen Burnout: Formal Analysis of Sub-Optimal Tournament Scheduling
Towards Prevention of Sportsmen Burnout: Formal Analysis of Sub-Optimal Tournament Scheduling Open
Scheduling a sports tournament is a complex optimization problem, which requires a large number of hard constraints to satisfy. Despite the availability of several such constraints in the literature, there remains a gap since most of the n…
View article: Mobile Health in Remote Patient Monitoring for Chronic Diseases: Principles, Trends, and Challenges
Mobile Health in Remote Patient Monitoring for Chronic Diseases: Principles, Trends, and Challenges Open
Chronic diseases are becoming more widespread. Treatment and monitoring of these diseases require going to hospitals frequently, which increases the burdens of hospitals and patients. Presently, advancements in wearable sensors and communi…
View article: Kinematic Measurements of Novel Chaotic Micromixers to Enhance Mixing Performances at Low Reynolds Numbers: Comparative Study
Kinematic Measurements of Novel Chaotic Micromixers to Enhance Mixing Performances at Low Reynolds Numbers: Comparative Study Open
In this work, a comparative investigation of chaotic flow behavior inside multi-layer crossing channels was numerically carried out to select suitable micromixers. New micromixers were proposed and compared with an efficient passive mixer …
View article: A novel framework for approximating resistance–temperature characteristics of a superconducting film based on artificial neural networks
A novel framework for approximating resistance–temperature characteristics of a superconducting film based on artificial neural networks Open
Resistance versus temperature characteristics of superconducting films have been studied for decades, and are still considered an important subject of condensed matter physics. They have recently received increased attention, primarily mot…
View article: Impact of Correlation and Pointing Error on Secure Outage Performance Over Arbitrary Correlated Nakagami-$m$ and $\mathcal {M}$-Turbulent Fading Mixed RF-FSO Channel
Impact of Correlation and Pointing Error on Secure Outage Performance Over Arbitrary Correlated Nakagami-$m$ and $\mathcal {M}$-Turbulent Fading Mixed RF-FSO Channel Open
In Radio Frequency (RF)-Free Space Optical (FSO) mixed links, secrecy capacity (SC) can be improved by exploiting spatial diversity (i.e., antenna diversity) in the RF path. In addition to atmospheric turbulence and point error of the FSO …