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Sequencing and assembly of the Egyptian buffalo genome

Water buffalo (Bubalus bubalis) is an important source of meat and milk in countries with relatively warm weather. Compared to the cattle genome, a little has been done to reveal its genome structure and genomic traits. This is due to the complications stemming from the large genome size, the complexity of the genome, and the high repetitive content. In this paper, we introduce a high-quality

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

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

Detection of Mammalian Coding Sequences Using a Hybrid Approach of Chaos Game Representation and Machine Learning

Mammalian protein-coding sequence detection provides a wide range of applications in biodiversity research, evolutionary studies, and understanding of genomic features. Representation of genomic sequences in Chaos Game Representation (CGR) helps reveal hidden features in DNA sequences due to its ability to represent sequences in both numerical and graphical levels. Machine learning approaches can

Artificial Intelligence
Healthcare

Real-time 4-way Intersection Smart Traffic Control System

Since traffic congestion is becoming a regular part of commuters' life, there is a pressing need for better traffic management. Most current traffic control systems are not sensitive to the current state of the roads being controlled, instead they are fixed, timed traffic signals that do not respond to unpredicted congestion. Solutions have been proposed to solve this problem including creating a

Software and Communications

Deep convolutional neural network based autonomous drone navigation

This paper presents a novel approach for aerial drone autonomous navigation along predetermined paths using only visual input form an onboard camera and without reliance on a Global Positioning System (GPS). It is based on using a deep Convolutional Neural Network (CNN) combined with a regressor to output the drone steering commands. Furthermore, multiple auxiliary navigation paths that form a â€n

Artificial Intelligence

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

Detection of myocardial infarction based on novel deep transfer learning methods for urban healthcare in smart cities

One of the common cardiac disorders is a cardiac attack called Myocardial infarction (MI), which occurs due to the blockage of one or more coronary arteries. Timely treatment of MI is important and slight delay results in severe consequences. Electrocardiogram (ECG) is the main diagnostic tool to monitor and reveal the MI signals. The complex nature of MI signals along with noise poses challenges

Artificial Intelligence
Healthcare

Trans-Compiler based Mobile Applications code converter: Swift to java

Numerous commercial tools like Xamarin, React Native and PhoneGap utilize the concept of cross-platform mobile applications development that builds applications once and runs it everywhere opposed to native mobile app development that writes in a specific programming language for every platform. These commercial tools are not very efficient for native developers as mobile applications must be

Artificial Intelligence
Circuit Theory and Applications
Software and Communications
Innovation, Entrepreneurship and Competitiveness

A Survey of COVID-19 Contact Tracing Apps

The recent outbreak of COVID-19 has taken the world by surprise, forcing lockdowns and straining public health care systems. COVID-19 is known to be a highly infectious virus, and infected individuals do not initially exhibit symptoms, while some remain asymptomatic. Thus, a non-negligible fraction of the population can, at any given time, be a hidden source of transmissions. In response, many

Artificial Intelligence
Healthcare
Software and Communications