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Cloud computing is the most widely adapted computing model to process scientific workloads in remote servers accessed through the internet. In the IaaS cloud, the virtual machine (VM) is the execution unit that processes the user workloads. ...

Functional Magnetic Resonance Imaging (fMRI) is the popular technique where it is possible to capture neural activity in brain regions when subjected to different stimuli. However, due to fMRI datasets' high dimensional and sparse nature, the best ...

• A Hybrid deep learning mechanism is introduced to detect a Shilling Attack with improved accuracy and reduced data sparsity.
• The proposed mechanism facilitates seeing shilling attacks by constructing a deep learning network with ...

The degree of openness of the socially aware recommendation systems and the possibility of the attackers injecting vast numbers of fake profiles biases the prediction of the system. Most classical shilling attack discovery mechanisms rely on ...

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Accurately and rapidly measuring the diameter of central serous chorioretinopathy (CSCR) lesion area is the key to judge the severity of CSCR and evaluate the efficacy of the corresponding treatments. Currently, the manual measurement scheme based on a ...

Antinuclear antibodies (ANAs) testing is the main serological diagnosis screening test for autoimmune diseases. ANAs testing is conducted principally by the indirect immunofluorescence (IIF) on human epithelial cell-substrate (HEp-2) protocol. However, ...

Fog computing is an emerging research domain to provide computational services such as data transmission, application processing and storage mechanism. Fog computing consists of a set of fog server machines used to communicate with the mobile user ...

The useful constructs in terms of dynamic features of programming languages bring the developers convenience and flexibility, but can also lead to the risks in the software maintenance. Evaluating whether the use of such features affects the ...

All witnessed the terrible effects of the COVID-19 pandemic on the health and work lives of the population across the world. It is hard to diagnose all infected people in real time since the conventional medical diagnosis of COVID-19 patients ...

The advent of fog computing as an extension of cloud-enabling technology has moved from the hub of the internet framework to the unmanned aerial vehicle (UAV)-enabled control and management of drone-based data. The key objectives are ...

A SARS-CoV-2 virus-specific reverse transcriptase-polymerase chain reaction (RT-PCR) test is usually used to diagnose COVID-19. However, this test requires up to 2 days for completion. Moreover, to avoid false-negative outcomes, serial testing may ...

Dyslexia is among the most common neurological disorders in children. Detection of dyslexia therefore remains an important pursuit for the research works across various domains which is illustrated by the plethora of work presented in diverse scientific ...

In order to analyze the intergenerational income mobility of urban and rural residents, this paper uses big data technology to study the intergenerational income mobility of urban and rural residents in China, constructs a corresponding model, and ...

Arm Venous Segmentation plays a crucial role in smart venipuncture. The difficulties faced in locating veins for intravenous procedures can be diminished using computer vision for vein imaging. To facilitate this, a high-resolution dataset consisting of ...

Diabetes is one of the biggest health problems that affect millions of people across the world. Uncontrolled diabetes can increase the risk of heart attack, cancer, kidney damage, blindness, and other illnesses. Researchers are motivated to create a ...

In modern decentralized cellular‐vehicle‐to‐anything (C‐V2X) infrastructures, connected autonomous smart vehicles (CASVs) exchange vehicular information with peer CASVs. To leverage responsive communication, sensors deployed in CASVs communicate ...

In this paper, we propose the background and analyze the integration of BC and 6G for REC in C‐V2X‐based ecosystems. A solution taxonomy for BC and 6G‐edge is proposed for CASV in C‐V2X. A case‐study 6Edge is proposed and a reference architecture is ...

• Systematic framework is established that formalizes the scope of the smart grids.

Load forecasting plays an essential role in effective energy planning and distribution in a smart grid. However, due to the unpredictable and non-linear structure of smart grids and large datasets' complex nature, accurate load ...

Detection of outliers or anomalies is one of the vital issues in pattern-driven data mining. Outlier detection detects the inconsistent behavior of individual objects. It is an important sector in the data mining field with several different applications ...

Unmanned aerial vehicles (UAVs) or Drones technology has a huge potential for supporting different efficient solutions for the smart applications in our world. The applications include smart things, smart transportation, smart cities, smart ...

Unmanned aerial vehicles (UAVs) or Drones technology has a huge potential for supporting different efficient solutions for the smart applications in our world. Due to the sensitive applications of UAVs, the security has become a major concern, and ...

As the number of user equipment (UE) in any heterogeneous network (HetNet) assisted by unmanned aerial vehicles (UAV) continues to grow, so does the number of intruder nodes. The intruder/malicious nodes are able to interfere with the ongoing data ...

Flowchart of FE technique. FE, functional encryption image image

Edge computing technology has drawn the keystone of future intelligent transportation systems, especially in smart cities, because of processing data that are near to the user location present at the edge of the cloud server. Generally, in smart ...

Steps involved in transmission. image image