Search Results for author: Waseem Akram

Found 6 papers, 1 papers with code

MuLA-GAN: Multi-Level Attention GAN for Enhanced Underwater Visibility

no code implementations25 Dec 2023 Ahsan Baidar Bakht, Zikai Jia, Muhayy ud Din, Waseem Akram, Lyes Saad Soud, Lakmal Seneviratne, Defu Lin, Shaoming He, Irfan Hussain

The underwater environment presents unique challenges, including color distortions, reduced contrast, and blurriness, hindering accurate analysis.

Image Enhancement Image Restoration +1

Evaluating Deep Learning Assisted Automated Aquaculture Net Pens Inspection Using ROV

no code implementations26 Aug 2023 Waseem Akram, Muhayyuddin Ahmed, Lakmal Seneviratne, Irfan Hussain

In marine aquaculture, inspecting sea cages is an essential activity for managing both the facilities' environmental impact and the quality of the fish development process.

Defect Detection

Autonomous Underwater Robotic System for Aquaculture Applications

no code implementations26 Aug 2023 Waseem Akram, Muhayyuddin Ahmed, Lyes Saad Saoud, Lakmal Seneviratne, Irfan Hussain

This work aims to develop a robotic-based automatic net defect detection system for aquaculture net pens oriented to on- ROV processing and real-time detection of different aqua-net defects such as biofouling, vegetation, net holes, and plastic.

Defect Detection

Towards Agent-Based Model Specification in Smart Grid: A Cognitive Agent-based Computing Approach

no code implementations1 Oct 2017 Waseem Akram, Muaz A. Niazi, Laszlo Barna Iantovics

Extensive experiments demonstrate that DREAM is a most useful approach as compared with ODD for modeling as well as for replication of models for smart grid.

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