Tag: Machine Learning

In-person vs virtual conference? Which is better?

In-person vs virtual conference? Which is better?

There has been a surge in discussion that recent social media aspects of the society has driven humans closer virtually, but physically further. In the modern world it is easy for anyone to find a job, house, study course or even simple daily life activities just by “looking up” online and connecting with relevant material…

My educational path to master Machine Learning

My educational path to master Machine Learning

The First Sight Let us travel back in time to my bachelor’s studies, when I started my journey in obtaining a bachelor’s degree with specialization in communications engineering at Al-Azhar University – Gaza. During the last two years at university, specifically in 2014, I had begun looking for a distinguished graduation project with a new concept…

Multiagent RL and Scalability Challenges for Random Access in MTC

Multiagent RL and Scalability Challenges for Random Access in MTC

Machine-type communication (MTC) paradigm in wireless communication will help connect millions of devices to perform different tasks without human involvement. There are numerous use cases of MTC, such as a factory automation, fleet management, smart homes and smart metering, e-health and smart logistics, etc. Mostly, the devices called machine-type devices (MTDs) in the MTC network…

Zero-shot Motion Pattern Recognition from 4D point-clouds

Zero-shot Motion Pattern Recognition from 4D point-clouds

Introduction In this post, we are going to discuss the pattern recognition from spatial data in motion through a zero-shot learning scenario. We use Siamese networks architecture to recognize unseen classes of motion patterns. A graph-based approach is adopted to achieve permutation invariance and encode moving point clouds into a representation in a computationally efficient way.  Point-clouds…

Online Courses for Studying ML

Online Courses for Studying ML

Hi everyone, I’m glad to meet all of you here again. If you are looking to start studying ML and have no idea how, especially considering the vast amount of information available on the web (which sometimes makes you feel completely lost), I can try clarifying it for you with today’s blog. I will recommend…

SMURF: Reliable Multipath Routing in Flying Ad-Hoc Networks

SMURF: Reliable Multipath Routing in Flying Ad-Hoc Networks

Unmanned Aerial Vehicles (UAVs) are used in a wide range of applications, from tracking and monitoring animals in remote areas [1] to military applications [2]. In general, drones are used to search, identify and monitor interesting events over massive and/or inaccessible areas. In order to effectively accomplish the task, multiple UAVs are deployed in a certain area and are expected to coordinate actions in an autonomous fashion or execute direct instructions from a control center.

Curriculum Learning for mmWave Beam Selection

Curriculum Learning for mmWave Beam Selection

Curriculum Learning Curriculum Learning [1] is a biologically inspired procedure to train machine learning models. While it is usual practice to train Neural Networks (NNs) using batches of data sampled uniformly in random from the training dataset, curriculum learning mimics the way humans learn, starting from simpler training samples that unveil general and raw concepts,…

Anomaly Detection

Anomaly Detection

Managing and monitoring the performance of Internet of things (IoT) systems is a chore, albeit a necessary one in today’s life. With hundreds of thousands of things to monitor anomaly detection can aid in identifying where an error is occurring, improving root cause investigation and allowing for faster tech assistance. Anomaly detection aids in monitoring…

What is Open-RAN and How ML Plays a Big Role in its Development?

In this post we will be talking about the following topics: What is Open RAN? Open RAN and 5G. Current challenges and its limitations. The importance of AI/ML for Open-RAN. Open RAN vs Legacy network architecture To start talking about open-RAN we can first have a look of how a traditional network architecture is designed:…

Beyond mMIMO Large-scale Wireless Sensing

Beyond mMIMO Large-scale Wireless Sensing

The aim of this post is to describe the work “Assessing Wireless Sensing Potential with Large Intelligent Surface” published in IEEE Open Journal of the Communications Society. I will try to show the main ideas behind it in a more simplified manner. Please note that for a more detailed description of the methods and the…

  • 1
  • 2