AUB ScholarWorks

Browsing by Author "Department of Electrical and Computer Engineering"

Browsing by Author "Department of Electrical and Computer Engineering"

Sort by: Order: Results:

  • Human-Robot Interaction Through Mixed-Initiative Supervised Autonomy 
    Sidaoui, Abbas (2/7/2022)
    Achieving full autonomy in robotic tasks is the ultimate goal for researchers and designers. This goal is motivated by the rapid advancements in automation algorithms and the decreasing cost of robotic hardware. However, ...
  • Implantable Radio Frequency Wireless Power Transfer System for In-Body Heat Induction 
    El Hage, Batoul (2/10/2023)
    The application of electromagnetic radio frequency waves extends beyond the purpose of communication, to reach out to medical implementations in different forms. Such implementations vary from sensing to treatment. For ...
  • Information Extraction from Arabic Social Media Content 
    Dankar, Rayan (9/23/2020)
    Stakeholders such as advertisers, celebrities and politicians are showing high interest in information extraction from social media content. Social media content includes posts and interactions in local dialects. Arabic ...
  • An Information Theoretic Analysis of Time-Limited Signaling 
    Jaffal, Youssef (1/15/2021)
    Practical communication systems use finite duration transmissions and signaling. As the time-limited signals have infinite bandwidth, they lose some of their energy when passed through a band-limited channel. In 1948, ...
  • INTEGRATED FACILITY PLACEMENT LAYOUT OPTIMIZATION 
    Dbouk, Haytham (9/16/2022)
    Oil and gas production systems are getting deeper, more complex, and far away offshore where energy companies are targeting further resources. These complexities are transforming the problem of field layout design optimization ...
  • Interference management for Device-to-Device communications in 5G networks 
    Doumiati, Salam Adnan (2019)
    While offloading has great potentials to relieve increasingly congested cellular networks, its benefits come at a cost, namely uncoordinated interference resulting from other Device-to-Device (D2D) pairs, which reduces ...
  • Interference Mitigation in 5G Network Densification Technologies: Algorithms and Performance Limits 
    Abdallah, Asmaa (9/23/2020)
    The advent of fifth generation (5G) wireless technology is expected to unleash an unprecedented boost in network capacity, spectral and energy efficiencies, and peak data rates, accompanied by a significant increase in the ...
  • IPsec scalability : network design - 
    Adalian, Nareg Levon (2016)
    IPsec is a point-to-point protocol that provides security between IP nodes and solves many network security problems by providing authentication, integrity and confidentiality. However, the point-to-point nature of IPsec ...
  • A Ka-band Reconfigurable Horn Antenna Polarizer 
    Al Ajam, Maya (9/16/2022)
    The increasing dependence on wireless communication systems has yielded rapid development in these systems and increasing demand for robust and adaptive structures and methods that achieve different wireless communication ...
  • Lifelong Chatbots for Customer Support 
    Dalal, Nataly (2/8/2021)
    With advances in machine learning, chatbots are gaining increasing popularity in different domains, specifically bots for customer support. The benefit of these bots is that they provide customers instant responses anytime ...
  • LOW COMPLEXITY DATA PROCESSING AND LEARNING OVER SINGLE-AGENTS AND DISTRIBUTED NETWORKS 
    Nassralla, Mohammad Hussein Fawzi (5/17/2022)
    An enormous amount of data is generated every second across a wide range of sectors around the globe. Learning from the available data for given use cases requires full data access, which can be challenging due to privacy ...
  • LTE radio network planning under uncertainty - 
    Challita, Ursula Camille (2014)
    Radio network planning and optimization (RNPO) is an essential process for cellular operators and has a significant impact on the operation and cost of the resulting network. The conventional approach for planning cellular ...
  • LTE radio network planning with green considerations. 
    El Beaino, Wissam Tanios (2012)
    The recent trend towards energy-efficient and environment-aware network operations has mandated the development of novel green network planning paradigms. Energy is becoming a main concern nowadays due to the increasing ...
  • Machine learning for internet traffic classification 
    Salman, Ola Mohamad (2020)
    Traffic classification acquired the interest of the Internet community early on. Different approaches have been proposed to classify Internet traffic to manage both security and Quality of Service (QoS). However, traditional ...
  • Machine learning for network resilience 
    Hussein, Ali Imad (2020)
    Resilience is taking networks a step further beyond security. Security is one of the main concerns facing the improvement of new networking and communications systems. Another important challenge is verifying whether or ...
  • Machine Learning from Limited Time-series Data 
    Mahmoud, Reem (9/16/2022)
    Time-series presents an important class of data in our everyday life and is becoming predominant with the abundance of sensors and IoT devices, which as a result has created opportunities for new machine learning (ML) ...
  • Machine Learning Models and Resources for Task-Oriented Chatbots in Arabic 
    El Droubi, Nour (9/6/2021)
    Recent developments enabled chatbots to be an essential part of people’s daily lives from asking general questions about the weather to booking movie tickets. Chatbots can be classified into open-domain bots or task-oriented ...
  • Machine Learning-Based Unobtrusive Intake Gesture Detection via Wearable Inertial Sensors 
    AlJlailaty, Hussein
    Eating is one of the most basic activities observed in sentient animals, a behavior so natural that humans often eating without giving the activity a second thought. Unfortunately, this often leads to consuming more calories ...
  • MANY-TASK LEARNING FOR INDIVIDUALIZED CONSUMER POWER PREDICTIONS 
    Djandji, Marc (2/8/2021)
    Short Term Load Forecasting (STLF) aims at predicting power consumption in the hours, days, or weeks ahead. Accurate STLF is important for plant scheduling, financial planning, system security, short-term maintenance, ...
  • mHEALTH System for Dermatology Diseases in Refugee Settlements Using Multi-Modal Classification 
    Baly, Fady (9/23/2020)
    While conflicts and wars are continuously erupting throughout the world, the dispersion of refugees from their war-afflicted countries to neighboring states is continuously increasing to an extent that these hosting states ...

Search AUB ScholarWorks

Browse

My Account