Nowadays, wireless sensor networks (WSNs) are the central means for data gathering in the edge-based internet of things era. Mobile edge nodes, such as mobile sinks (MSs), are the most reasonable way to gather the sensed data in these WSNs by ...

The Internet of Things (IoT) is an emerging field that encompasses several heterogeneous devices and smart objects that are integrated with the network. In open platforms, these objects are deployed to present advanced services in numerous ...

This study demonstrated the correlation of molecular structures of Peroxisome proliferator-activated receptor gamma (PPARγ) modulators and their biological activities. Bayesian classification, and recursive partitioning (RP) studies have been ...

Display Omitted

• This study focused on the supervised mathematical learning models of PPARγ modulators.
• Exploring favorable and unfavorable sub-structural fragments that regulate PPARγ modulatory activities.
• Molecular docking and MD simulation ...

Data centres have become the backbone of infrastructure for delivering cloud services. In the emerging cloud computing paradigm, virtual machine (VM) live migration involves moving a running VM across hosts without visible interruption to the ...

Theory of Mind (ToM) is a capability of humans to attribute mental states to other agents allowing us to reason on the agent’s intentions and predict their future behavior. The complexity of ToM paves a way for an open arena of development for ...

A Theory of Mind (ToM) is a mental representation one agent has of another’s emotion, desires, beliefs, and intentions formed through their interactions which help the agent predict the other’s behaviors. The concept comes from work in cognitive ...

Human Activity Recognition (HAR) remains a challenging issue that requires to be resolved. Utilizing images, smart phones, or sensors, HAR could be done. Recent studies have explored HAR utilizing Unmanned Aerial Vehicle (UAV) videos. But, owing ...

• A novel framework for HAR utilizing a DMLC-CNN model grounded on UAV videos is proposed.
• The experimental evaluation has been executed.
• then, the techniques' performances are assessed concerning various metrics.
• The outcomes ...

Plant diseases are a major threat to food security and economic prosperity around the globe. Deep learning models based on Convolution Neural Network (CNN) have shown promising results in dealing with plant disease detection tasks. However, ...

• Meta-learning framework to recommend models for plant disease identification task.
• Meta-dataset created using 13 benchmark CNN models on 24 different species of plants.
• RBO score used to evaluate combinations of meta-extractors and ...

The recognition of human activities has become a dominant emerging research problem and widely covered application areas in surveillance, wellness management, healthcare, and many more. In real life, the activity recognition is a challenging issue ...

Wireless Sensor Networks have been the focal point of research for many years due to their wide range of application areas. Such networks consist of resource-constrained sensor nodes that are generally not equipped with any positioning component ...

With sensors built into smartphones and wearable devices, Human Activity Recognition (HAR) makes it possible to identify regular activities. One of the challenges is to access the motion information from activity data and extract the features from ...

In the field of digital image distribution and reproduction, the standardization of digital photography and the recent advancement in technology have led to explosive growth. This new impetus has increased the need for introducing scientifically, ...

This paper presents a Material Mask Overlay topology optimization approach with the improved material assignment at the element level for achieving the desired discreteness of the optimized designs for pressure-loaded problems. Hexagonal elements ...

Air writing is a practice of writing the linguistic characters in free space utilizing the six degrees of freedom of hand motion. Researchers have proposed various methods to approach air-writing based on one or more dedicated external hardware, ...

This paper presents a density-based topology optimization approach to design structures under self-weight load. Such loads change their magnitude and/or location as the topology optimization advances and pose several unique challenges, e.g., non-...

A significant quantity of research work has been completed to recognize human activities. The majority of the proposed learning algorithms have treated the activity data as the role of fuel in vehicles. The capacity of the learning algorithms to ...

This paper presents a synthesis approach in a density-based topology optimization setting to design large deformation compliant mechanisms for inducing desired strains in biological tissues. The modelling is based on geometrical nonlinearity ...

Android is an application platform for mobile devices. It comprises of the operating system, software framework, and core programs. This platform uses permissions to hide precious information about the user from untrusted apps. However, to ...

image image This article represents a significant role to fight against undesirable behaviours of untrusted Android apps. This systematic survey has presented numerous works, each of which attempts to deal with the Android application permissions ...

Compliant mechanisms are flexible single-piece structures that produce the desired movement by going through elastic deformation, which is different from the traditional mechanisms that are joined by rigid bodies. Some of the advantages of compliant ...

Topology optimization using gradient search with negative and positive elliptical masks and honeycomb tessellation is presented. Through a novel skeletonization algorithm for topologies defined using filled and void hexagonal cells/elements, ...