Adil Khan

Orcid: 0000-0003-2862-5718

Affiliations:
  • University of Peshawar, School of Computer Science and Technology, Pakistan
  • Harbin Institute of Technology, China (2016 - 2019)


According to our database1, Adil Khan authored at least 19 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Using VizDoom Research Platform Scenarios for Benchmarking Reinforcement Learning Algorithms in First-Person Shooter Games.
IEEE Access, 2024

2023
Boosting Adversarial Training Using Robust Selective Data Augmentation.
Int. J. Comput. Intell. Syst., December, 2023

Not So Robust After All: Evaluating the Robustness of Deep Neural Networks to Unseen Adversarial Attacks.
CoRR, 2023

2022
Inter-Organizational Cloud Computing and Robust Scalability in Current Scenario and Beyond.
Autom. Control. Comput. Sci., 2022

2021
Playing Doom with Anticipator-A3C Based Agents Using Deep Reinforcement Learning and the ViZDoom Game-AI Research Platform.
Proceedings of the Deep Learning for Unmanned Systems, 2021

Playing First-Person Perspective Games with Deep Reinforcement Learning Using the State-of-the-Art Game-AI Research Platforms.
Proceedings of the Deep Learning for Unmanned Systems, 2021

Exploring deep neural networks for rumor detection.
J. Ambient Intell. Humaniz. Comput., 2021

3D convolutional neural networks-based multiclass classification of Alzheimer's and Parkinson's diseases using PET and SPECT neuroimaging modalities.
Brain Informatics, 2021

2020
Playing first-person shooter games with machine learning techniques and methods using the VizDoom Game-AI research platform.
Entertain. Comput., 2020

Applying Machine Learning Techniques for Performing Comparative Opinion Mining.
Open Comput. Sci., 2020

2019
False information detection in online content and its role in decision making: a systematic literature review.
Soc. Netw. Anal. Min., 2019

Optimal Skipping Rates: Training Agents with Fine-Grained Control Using Deep Reinforcement Learning.
J. Robotics, 2019

Playing a FPS Doom Video Game with Deep Visual Reinforcement Learning.
Autom. Control. Comput. Sci., 2019

Playing First-Person-Shooter Games with A3C-Anticipator Network Based Agents Using Reinforcement Learning.
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019

2018
Discriminative Local Feature Fusion for Ear Recognition Problem.
Proceedings of the 8th International Conference on Bioscience, 2018

Detection of Abnormal Heart Conditions from the Analysis of ECG Signals.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

2017
Entropy Based Sub-band Deletion for Multispectral Image Compression.
Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

A Competitive Combat Strategy and Tactics in RTS Games AI and StarCraft.
Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

Recurrent Neural Network Based Classification of ECG Signal Features for Obstruction of Sleep Apnea Detection.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017


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