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A Comprehensive Survey on Vehicular Ad Hoc Networks (VANET)

Vehicular Ad Hoc Networks is an evolving research field that has the potential to address safety on roads. This tends to attract car manufacturers and suppliers to develop in evolving the industry vision. VANET demonstrates a different kind of communications targeting the main objective, which is safety besides entertainment services. This is achieved using the Internet through the infrastructure

Artificial Intelligence

Native Mobile Applications UI Code Conversion

With the widespread use of mobile applications in daily life, it has become crucial for software companies to develop the applications for the most popular platforms like Android and iOS. Using a native development is time consuming and costly. Cross-platform mobile development like Xamarin and React native emerged as a solution to the mentioned problem of native development for the time and cost

Artificial Intelligence
Software and Communications
Innovation, Entrepreneurship and Competitiveness

IoT Modes of Operations with Different Security Key Management Techniques: A Survey

The internet of things (IoT) has provided a promising opportunity to build powerful systems and applications. Security is the main concern in IoT applications due to the privacy of exchanged data using limited resources of IoT devices (sensors/actuators). In this paper, we present a classification of IoT modes of operation based on the distribution of IoT devices, connectivity to the internet, and

Artificial Intelligence
Circuit Theory and Applications

Quantum Networking, where it is headed

It is an undeniable fact that computer science has gone a long way, from the invention of transistor-based electronic computers to the rise of artificial intelligence and quantum computing. Now that we are looking at the quantum horizon, the last piece that would complete the quantum revolution is quantum networking. © 2020 IEEE.

Artificial Intelligence

Using CNN-XGBoost Deep Networks for COVID-19 Detection in Chest X-ray Images

At the time of writing, the COVID-19 pandemic is one of the lead causes of death worldwide and has caused significant changes to everyone's lives. While a vaccine is still unavailable, early screenings and detection of the disease can significantly help in managing the healthcare system's capacity as well as allow radiologists and clinicians better assign their priorities. With deep learning's

Artificial Intelligence

Improved Semantic Segmentation of Low-Resolution 3D Point Clouds Using Supervised Domain Adaptation

One of the key challenges in applying deep learning to solve real-life problems is the lack of large annotated datasets. Furthermore, for a deep learning model to perform well on the test set, all samples in the training and test sets should be independent and identically distributed (i.i.d.), which means that test samples should be similar to the samples that were used to train the model. In many

Artificial Intelligence
Healthcare
Energy and Water
Software and Communications
Agriculture and Crops
Innovation, Entrepreneurship and Competitiveness

5G and Satellite Network Convergence: Survey for Opportunities, Challenges and Enabler Technologies

Development of 5G system as a global telecommunication infrastructure is accelerating to realize the concept of a unified network infrastructure incorporating all access technologies. The potential of Low Earth Orbit (LEO) constellation systems has emerged to support wide range of services. This could help to achieve 5G key service requirements for enhanced Mobile Broadband (eMBB), Massive Machine

Artificial Intelligence

Dynamic Programming Applications: A Suvrvey

Dynamic programming is a mathematical optimization first invented in 1950s and lived till our times to make optimizations and reduce complexity in several different fields like bioinformatics, Electric vehicles, energy consumption, medical field and much more as a proof of being a powerful technique. In this paper, the various fields and aspects in which Dynamic programming has a significant

Artificial Intelligence

Robust real-time pedestrian detection on embedded devices

Detection of pedestrians on embedded devices, such as those on-board of robots and drones, has many applications including road intersection monitoring, security, crowd monitoring and surveillance, to name a few. However, the problem can be challenging due to continuously-changing camera viewpoint and varying object appearances as well as the need for lightweight algorithms suitable for embedded

Artificial Intelligence

Neural Machine Based Mobile Applications Code Translation

Although many cross platform mobile development software used a trans-compiler-based approach, it was very difficult to generalize it to work in both directions. For example, to convert between Java for Android Development and Swift for iOS development and vice versa. This is due to the need of writing a specific parser for each source language, and a specific code generator for each destination

Artificial Intelligence
Software and Communications
Innovation, Entrepreneurship and Competitiveness