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The main focus is on designing communication channels and payloads over MQTT, and storage data structures on the edge server. (Python).. Anyone interested contact me.

Scratch Project builds and run successfully. Now I have to fetch the records from db for the new clocks to be created and migrate the attached Python script to java to provide an endpoint for creating the clocks.

I would like to simulate a remote monitoring system that I have conceptually designed. I have analysed the hardware, sensors, protocols and architectures used and also, I provide details of the overall design.

I want to minimize the time consumed by the blockchain encryption algorithms like the proof of work or the proof of stack by offloading this process to the edge computing server and comparing the actual spending time for the blockchain with and without the use of the edge computing server. Also, I want to make an offloading option to the nearby device for those devices that has low energy or low computation power.

IoT devices enable a massive amount of data to be aggregated and analyzed for anomaly detection. The nature of heterogeneous devices introduces the challenge of collecting and handling these massive datasets to perform data analyses to discover cyber-attacks in near real-time. However, the traditional IDS cannot deal with such a problem due to scalability limitations and insufficient storage and processing capabilities. Moreover, issues such as network bandwidth, real-time support, and security limit the power of cloud server-based IDSs. This paper…

Hi we want someone to implement a validation loss & augmentation pipeline for a D2go training pipeline. The selected freelancer will also be expected to spend some time in explaining the pipeline & documenting the code. If you are not experienced with using the detectron2 framework, pls do not make a bid. Sharing related work done will help us to short-list the correct candidate. DM if you have any queries

I need an expert in simulation load balancing algorithms in Software Defined Networks and Edge computing using ifogsim tool. if you are interested please contact via message for further details.

I need a person who has research experience in mobile edge computing , expert in ML and optimization

Describe the topic Roadmap on how you are going to achieve, what you are going to do What is the problem statement of the research and suggested solution Finally write a research paper

Please find the attached sample proposal plan document. Need a document similar to attached document with your own idea. If the proposal document gets approved then need support until the project is completed

Identify the problem area in cloud computing, propose a solution, and work the proposed solution for 2 months and achieve it and finally write a document. I have attached A sample document for model of proposal plan. If proposal plan is approved then need to work on the project and deliver it

o We plan to implement the Extended Kalman Filter (EKF) process for trajectory prediction procedure in OMNET++. o We plan to extend the implementation of multi-agent reinforcement learning (RL) network for sensor scheduling during target tracking in OMNET++. o The UAVs cooperate with each other in order to learn how to share their sensory data and act as the scout for each other. o Utilizing a multi-agent RL network makes possible for the UAVs to communicate and share their capabilities…

I am interested to work on a long-term research project where I need to conduct a depth study to find a gap or modify method (Approach) in the area of Neural Network optimization for the edge devices. I am planning toward research and publication. Please contact me if interested.

I am interested to work on a long-term research project where I need to conduct a depth study to find a gap or modify method (Approach) in the area of Deep Learning optimization for the edge devices. I am planning toward research and publication. Please contact me if interested.

o We plan to implement the Graph neural networks (GNNs) process for trajectory prediction procedure in OMNET++. o We plan to extend the implementation of multi-agent reinforcement learning (RL) network for sensor scheduling during target tracking in OMNET++. o The UAVs cooperate with each other in order to learn how to share their sensory data and act as the scout for each other. o Utilizing a multi-agent RL network makes possible for the UAVs to communicate and share their capabilities…