Most Popular and Best Video Games in 2021

The video game industry is one of the biggest virtual industries in the world. Almost half of the world's population is regularly playing games to relieve the stress in their lives. As a result, the importance of the gaming industry is increasing every passing year. Thus, we wanted to compile the most popular video games in 2021 for you! Do not miss your chance to check out the following games to give them a try. These games have been chosen by our editor and we are sure that you will enjoy playing them. Computer games are played by everyone ! These are the best video games in 2021 according to our game editor, please keep reading for the details of each game. Call of Duty: Modern Warfare FIFA 2021 Fortnite New World Apex Legends Top 5 - Most Popular Video Games in 2021 Here are the top 5 most popular video games that managed to be highly popular in 2021. We bet you have played some of these amazing games before! 1. Call of Duty: Modern Warfare Call of Duty is one of the most popul

Most Popular and In-demand Programming Languages in 2021

Top 5 Most Popular Programming Languages in 2021 If you are planning to learn to program, then we believe this guide will be an amazing source for you. We have covered everything that you need to know about the popular programming languages. Although, the programming language you need to use may vary depending on your purpose, this list will still be beneficial for you. Considering that the following programming languages are widely used in industry, learning one or two of these languages will greatly help you find fantastic job opportunities all over the world. Moreover, software programming and engineering jobs are the best options for the people who want to work from home (WFH) and home office. Software Engineer and Programmer What are the Best Programming Languages to Find a Great Job? We here present the obviously best programming languages that will also dominate the markets in 2022. It is still not too late to learn any of them since they will be around for at least a decade a

Electromagnetic Modelling and Antenna Simulation via Opensource Software

Commercial electromagnetic simulation (EM) software packages such as CST Microwave Studio and  ANSYS HFSS are widely used in commercial applications and educational purposes. Based on my experience, they provide very accurate results which match measurements in most antenna works. On the other hand, there are also very solid opensource software and applications which may also provide similar results in some applications. Antennas are also used in radio telescopes While commercial EM software suits usually have very good documentations, easy-to-use interference, and result visualisation and navigation tools, opensource EM software suits might consist of only the solver and documentation which explains how it should be used and implemented for design and simulation via an interference and a programming language such as Python, MATLAB, C++ . As they are opensource, it is also possible to edit their codes and advance their functions and performance. Thus, these features makes opensource

5G Beyond and 6G Communication Technologies

While initial 5G communication standards have been released and 5G networks have been implemented in some cities around the world, some research groups at world-leading universities and tech-giant companies have already started conducting research on the sixth-generation (6G) communication networks. Although 6G standards are expected to be available in around 2030, there are some speculations what could be included and supported in 6G networks. The major expected technologies or techniques in 6G:  Of course, 6G will support all available technologies in 5G such as  machine-to-machine communication, massive internet of things (massive IoT), enhanced mobile broadband (eMBB),  Ultra-Reliable and Low Latency Communications (URLLC), Flexible network operations. Enhanced network operations which are supported by machine learning applications to improve data-rate, energy-efficiency and flexibility. It will also support vehicles and drones to  enable intelligent transportation systems. Virtual

5G and Massive MIMO Communication and Beyond

Mobile and wireless communication networks have become a significantly important part of our life, especially in the last ten years. The major share of the data usage of all internet is caused by mobile devices such as smartphones and tablets. This has resulted in that the communication sector became one of the most strategical parts of the world economy. For instance, Europe, China and US are in a huge competition to take the biggest shares of this indispensable sector. The fifth-generation (5G) communication technology has already been deployed in some major cities in the world to provide better service quality and much higher data speeds. Provide such significant improvements in the service quality requires the implementation of cutting-edge electronic components, algorithms, antennas and software methods. Employing a large number of antennas at the base-stations is one of the solutions that can substantially contribute to the network performance and provide ten times more data-rate

Machine Learning Methods: Supervised Learning

In this article, we are going to review the most common and valuable machine learning algorithms which are frequently applied in the industry, academy and research. Note that some algorithms may have many subcategories or derivations since machine learning and artificial intelligence have been actively and extensively studied and utilised nowadays. This article will present a categorical overview of these fundamental algorithms and briefly explain each of them. In the succeeding articles, each algorithm will be deeply explained and their implementations will be exhibited.  Machine learning (ML) algorithms are generally considered in two main categories as follows; Supervised Learning Methods Unsupervised  Learning Methods Supervised Learning Methods  Supervised learning techniques create logical connections or maps between input and output data. Therefore, these types of methods usually require a significant amount of labelled data for training. After that, these logical co

On the performance of Matlab and Parallel Computing

MATLAB is one of the most powerful scientific computing tools along with Python. Although Python is my favorite scientific programming language since it is opensource, well-documented and has plenty of libraries, I sometimes use MATLAB especially while dealing with very large matrices as MATLAB is highly optimized for large-scale matrix operations, consequently, it performs better at processing very large matrices. From a parallel computing perspective, MATLAB actually strives to utilize all available CPU cores in a parallel way to maximize its performance and reduce the computation time when it is possible. Therefore, it does a kind of parallel computing when it is possible such as in matrix operations as these operations are very suitable to be run parallelly.  However, the parallel operation of the MATLAB might be restricted by bad coding practice of the users especially using for or while loops, because those loops are generally performed in a serial manner with an increasi