Ahmed Fares

Orcid: 0000-0002-6830-4911

According to our database1, Ahmed Fares authored at least 21 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Non-linear integration of loss terms for improved new view synthesis.
Multim. Tools Appl., July, 2024

Advancing Robotic Control: Data-Driven Model Predictive Control for a 7-DOF Robotic Manipulator.
IEEE Access, 2024

Arabic Handwritten Document OCR Solution with Binarization and Adaptive Scale Fusion Detection.
Proceedings of the 6th Novel Intelligent and Leading Emerging Sciences Conference, 2024

2022
Deep Semantic and Attentive Network for Unsupervised Video Summarization.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Detecting abnormality with separated foreground and background: Mutual Generative Adversarial Networks for video abnormal event detection.
Comput. Vis. Image Underst., 2022

Deep hierarchical LSTM networks with attention for video summarization.
Comput. Electr. Eng., 2022

2021
A Brain-Media Deep Framework Towards Seeing Imaginations Inside Brains.
IEEE Trans. Multim., 2021

An analysis of Monte Carlo simulations for forecasting software projects.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Predicting Predawn Leaf Water Potential up to Seven Days Using Machine Learning.
Proceedings of the Progress in Artificial Intelligence, 2021

2020
Brain-media: A Dual Conditioned and Lateralization Supported GAN (DCLS-GAN) towards Visualization of Image-evoked Brain Activities.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
A Context-Supported Deep Learning Framework for Multimodal Brain Imaging Classification.
IEEE Trans. Hum. Mach. Syst., 2019

EEG-based image classification via a region-level stacked bi-directional deep learning framework.
BMC Medical Informatics Decis. Mak., 2019

An Attentional-LSTM for Improved Classification of Brain Activities Evoked by Images.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

2018
MARL-FWC: Optimal Coordination of Freeway Traffic Control Measures.
CoRR, 2018

Region level Bi-directional Deep Learning Framework for EEG-based Image Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Investigating the benefits and limitations of cascaded converter topologies used in modular battery systems.
Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017

2014
Multi-Agent Reinforcement Learning Control for Ramp Metering.
Proceedings of the Progress in Systems Engineering, 2014

Freeway ramp-metering control based on Reinforcement learning.
Proceedings of the 11th IEEE International Conference on Control & Automation, 2014

2013
Tokyo Virtual Living Lab: Designing Smart Cities Based on the 3D Internet.
IEEE Internet Comput., 2013

2011
Intrusion Detection: Supervised Machine Learning.
J. Comput. Sci. Eng., 2011

2010
AMiDiViN: basic algorithms for alarm management in distributed vision networks.
Proceedings of the 2010 Fourth ACM/IEEE International Conference on Distributed Smart Cameras, Atlanta, GA, USA - August 31, 2010


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