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Title 1:
"DopeNet: Range–Doppler Radar-based UAV Detection Using Convolutional Neural Network"
Title 2: ICT Express
"Identification of 3D features using CNN for Military Surveillance Systems"
Title 3:
" energy prediction- title not fixed "
Title 4: Ali's paper
Journal of Transportation Engineering, Part A: Systems
"Hybrid Smart Demand Responsive Public Transport System for Conventional Public Transport in City Metropolitan Area"
Title 5: Summer Intensive
"FedGrid: Federated Learning at client edge for Smart Grid Systems"
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Title 4:
rephrase and fix the proposed system to increase its readability.
proofreading the paper.
redo Fig 3 to increase its resolution.
Title 5:
finished simulating with 40% user contribution and the results shows that even with low participation the system is able to show good results.
added papers to the related works that discuss the variance of users participation to show the validity of our work.
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Title 4:
If the paper has been finalized hopefully it will be submitted at the ends of this week
Title 5:
Finalize the the system model section and start with the system result.
draw a figure that visualize the new acquired results.
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Smart Energy
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we started building our proposed model:
- focusing on preprocessing of the dataset and try to choose the most efficient method for our approach.
we have 2 different methods: either process the data as 1D or process it as an image using 2D convolution
writing and submitting the final report to Dr. Ryu.
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keep testing other data preprocessing.
simulate and build our CNN+LSTM algorithm.
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Finalize Summer intensive
Finalize Ali's paper
Finalize my short paper
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2 SCI Journals
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