Paper 1: UAV-assisted Solar Energy Distribution Technique Based on Partial Brownian Movement for the Internet of Things (Target: JCN).
Paper 2: Development of Routing Protocol in UAV Network for Military Environment, [Winter Intensive] (Target: ICT Express)
Paper 3: LSTM Based Solar Irradiance Prediction From Remote Sensing of Meteorological Data, (Target: IEEE Geoscience and Remote Sensing Letters)
Paper 4: A Machine Learning-based Energy Prediction Scheme for Energy-Harvesting Base Station, (Target- KICS Winter Conference)
Paper 5: Accuracy Improvement of Solar Energy Prediction for Energy Harvesting WSN using Hybrid Deep Learning Technique (Winter Intensive) (Target: ICT Express or Renewable Energy (Elsevier)
Paper 5:
* Surveyed papers related to knowledge-based neural network
* Worked on data pre-processing for simulation
Paper 4:
* Fine-tuned the paper according to professors comment
* Submit to the KICS conference
Paper 5:
* Survey more paper regarding the use of knowledge-based neural network with LSTM
* Continue the data pre-processing task regarding the solar radiation prediction
* Start the simulation work
Paper 4:
* Create the ppt. file for the poster presentation
* Start working on survey to extend to journal paper
Development of UAV routing protocol for civil and military, Anti-Drone project
Project 1:
* Worked on the simulation of OLSR routing on OPNET (fixed some errors in simulation)
* Worked on the OLSR implementation using raspberry-pi (Not finished yet)
Project 2:
* Worked on YOLO v3 for object detection
Project 1:
* Continue the simulation work of OLSR routing
Project 2:
* Create a video for dataset
* Work on labeling from the video
1. Start working on the extension of KICS paper for journal version
2. Finish the simulation work for my winter intensive paper
* Submit at least two Journal in one year
* Attend one International Conference
* Make sure to learn as many simulation tools as possible