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 paper related the knowledge-based neural network
* Continued the dataset pre-processing for solar energy prediction
Paper 4:
* Created the ppt. file for the KICS poster session
Paper 4:
* Start survey papers related to drone base station position prediction (according to professors suggestion)
* Start working on finding open source dataset related to the topic
Paper 5:
* Finish the dataset pre-processing task
* Start working on the simulation of knowledge-based neural network (KBNN)
* Survey more papers related to KBNN implementation with LSTM
Development of UAV routing protocol for civil and military, Anti-drone project
Project 1:
* Worked on the simulation of OLSR routing in OPNET (fixing errors in simulation)
Project 2:
* Continued learning object detection on YOLO v3
Project 1:
* Continue the simulation of OLSR routing in OPNET
* Continue working on the OLSR implementation using raspberry-pi
Project 2:
* Capture a video of Phantom 3SE for dataset
* Label the assigned frames for Phantom 3SE
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