Faroq Al-Tam

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 22

Top Topics

Resource Scheduling

Reinforcement Learning

Wireless Communication

Illumination Correction

Top Venues

Comput. Networks

Publications

Faroq Al-Tam, Muhammad Al-Qurishi, Thariq Khalid Kadavil, Riad Souissi
CMFPN: Context Modeling Meets Feature Pyramid Network. Tiny Papers @ ICLR (2024)
Rodrigo Carvalho, Noélia Correia, Faroq Al-Tam
Mobility planning of LoRa gateways for edge storage of IoT data. Comput. Networks 221 (2023)
Athul M. Mathew, Arshad Khan, Thariq Khalid, Faroq Al-Tam, Riad Souissi
Leveraging Multi-Modal Saliency and Fusion for Gaze Target Detection. Gaze Meets ML (2023)
Rodrigo Carvalho, Faroq Al-Tam, Noélia Correia
Mobility Planning of Edge-Assisted IoT Systems Using DRL Action-Branching Approach. IoTaIS (2023)
Andriy Mazayev, Faroq Al-Tam, Noélia Correia
Attention-based model and deep reinforcement learning for distribution of event processing tasks. Internet Things 19 (2022)
Andriy Mazayev, Faroq Al-Tam, N. Correia
Attention-Based Model and Deep Reinforcement Learning for Distribution of Event Processing Tasks. CoRR (2021)
Faroq Al-Tam, António dos Anjos, Hamid Reza Shahbazkia
Hessian-polar context: a descriptor for microfilaria recognition. Mach. Vis. Appl. 32 (1) (2021)
José Manuel Lozano Domínguez, Faroq Al-Tam, Tomás de Jesús Mateo Sanguino, Noélia Correia
Vehicle Detection System for Smart Crosswalks Using Sensors and Machine Learning. SSD (2021)
Noélia Correia, Faroq Al-Tam, Jonathan Rodriguez
Optimization of Mixed Numerology Profiles for 5G Wireless Communication Scenarios. Sensors 21 (4) (2021)
Faroq Al-Tam, Noélia Correia, Jonathan Rodriguez
Learn to Schedule (LEASCH): A Deep Reinforcement Learning Approach for Radio Resource Scheduling in the 5G MAC Layer. IEEE Access 8 (2020)
Faroq Al-Tam, Noélia Correia, Jonathan Rodriguez
Learn to Schedule (LEASCH): A Deep reinforcement learning approach for radio resource scheduling in the 5G MAC layer. CoRR (2020)
José Manuel Lozano Domínguez, Faroq Al-Tam, Tomás de Jesús Mateo Sanguino, Noélia Correia
Analysis of Machine Learning Techniques Applied to Sensory Detection of Vehicles in Intelligent Crosswalks. Sensors 20 (21) (2020)
Noélia S. C. Correia, Faroq Al-Tam
Flow Setup Aware Controller Placement in Distributed Software-Defined Networking. IEEE Syst. J. 14 (4) (2020)
Faroq Al-Tam, Andriy Mazayev, Noélia S. C. Correia, Jonathan Rodriguez
Radio Resource Scheduling with Deep Pointer Networks and Reinforcement Learning. CAMAD (2020)
Noélia Correia, Faroq Al-Tam, Jonathan Rodriguez
Adaptive Spectrum Allocation for 5G Wireless Communication Scenarios. CAMAD (2020)
Eman Al-Hawri, Faroq Al-Tam, Noélia Correia, Alvaro L. Barradas
Probabilistic Network Coding for Reliable Wireless Sensor Networks. DoCEIS (2020)
Faroq Al-Tam, Andriy Mazayev, Noélia Correia, Jonathan Rodriguez
Deep PC-MAC: A deep reinforcement learning pointer-critic media access protocol. CAMAD (2020)
Faroq Al-Tam, Noélia Correia
On Load Balancing via Switch Migration in Software-Defined Networking. IEEE Access 7 (2019)
Faroq Al-Tam, Noélia S. C. Correia
Fractional switch migration in multi-controller software-defined networking. Comput. Networks 157 (2019)
Faroq Al-Tam, Mohammad Ashrafi, Noélia Correia
On Controllers' Utilization in Software-defined Networking by Switch Migration. BROADNETS (2018)
Mohammad Ashrafi, Noélia Correia, Faroq Al-Tam
A Scalable and Reliable Model for the Placement of Controllers in SDN Networks. BROADNETS (2018)
Faroq Al-Tam, António dos Anjos, Hamid Reza Shahbazkia
Iterative illumination correction with implicit regularization. Signal Image Video Process. 10 (5) (2016)
Faroq Al-Tam, António dos Anjos, Stephane Bellafiore, Hamid Reza Shahbazkia
Detection of Root Knot Nematodes in Microscopy Images. BIOIMAGING (2015)
António dos Anjos, Bjarne Kjær Ersbøll, Faroq Al-Tam, Hamid Reza Shahbazkia
Matching Two-dimensional Gel Electrophoresis' Spots. BIOINFORMATICS (2012)