adugnaNecho
I'm working @Bahir Dar University, has B.Sc. & M.Sc. degrees in computer Eng. @ Adama & @Mekelle Universities. I'm @ISOC Eth chapter founding president.
Bahir Dar UniversityBahir Dar, Amhara, Ethiopia
Pinned Repositories
6tisch-new-ReSF
6tisch-simulator
6tisch_traffic_model
Analytical traffic model of 6TiSCH using real-time in-band network telemetry
courseware-embedded-machine-learning
TinyML4D
Community of researchers and practitioners focused on both improving access to TinyML education and enabling innovative solutions for the unique challenges faced by Developing Countries.
UDD_Master_Data_Science
Projects done for Master in Data Science - UDD
UNIFEI-IESTI01-T01-2021.1
Course Repository - TinyML - Machine Learning for Embedding Devices
UNIFEI-IESTI01-TinyML-2021.2
UNIFEI-IESTI01-TinyML-2022.1
Course Repository - TinyML - Machine Learning for Embedding Devices
WALC_2022-Applied_AI
WALC 2022 - Panama - Track 7 – Inteligencia Artificial Aplicada
adugnaNecho's Repositories
adugnaNecho/Arduino_Nicla_Vision
Embedded Machine Learning projects using the Arduino Nicla Vision Board
adugnaNecho/dissertation
Website version of my dissertation "Type 2 diabetes in migrants: a register-based analysis"
adugnaNecho/contiki-ng-develp
adugnaNecho/UNIFEI-IESTI01-TinyML-2023.1
TinyML - Machine Learning for Embedding Devices
adugnaNecho/XIAO-ESP32S3-Sense
Seeed Studio XIAO ESP32S3 Sense integrates a camera sensor, digital microphone, and SD card support. Combining embedded ML computing power and photography capability, this development board is a great tool to get started with TinyML (intelligent voice and vision AI).
adugnaNecho/scale_hackathon_2023
adugnaNecho/6tisch_traffic_model
Analytical traffic model of 6TiSCH using real-time in-band network telemetry
adugnaNecho/Contiki-ng-SDN-TSCH
adugnaNecho/Graph-Theory-Algorithms
Graph Theory Algorithms and their Implementation using examples
adugnaNecho/layered-scheduler
Implementation of the Layered autonomous TSCH scheduler
adugnaNecho/Tsch-OrchestraPerformanceAnalysis
Performance Analysis of TSCH Protocol and Orchestra Scheduling in IoT Networks
adugnaNecho/TSCH-Scheduling
adugnaNecho/iot-lab-training
Training support for the IoT-LAB testbed
adugnaNecho/TinyML4D
Community of researchers and practitioners focused on both improving access to TinyML education and enabling innovative solutions for the unique challenges faced by Developing Countries.
adugnaNecho/RL_for_dynamic_scheduling
Implementation of the paper "A Reinforcement Learning Based Strategy for Dynamic Scheduling on Heterogeneous Platforms".
adugnaNecho/IEEE_Latex_Template
Just a simple repo for IEEE conference papers.
adugnaNecho/OpenCV-Face-Recognition
Real-time face recognition project with OpenCV and Python
adugnaNecho/WALC_2022-Applied_AI
WALC 2022 - Panama - Track 7 – Inteligencia Artificial Aplicada
adugnaNecho/Embedded_C_Programming
various embedded c program codes under different concept
adugnaNecho/Network_Toplogy_Python
Making a network topology of 100 random moving nodes with 2 nodes as fixed base stations and simulating the transmission of packets and measuring the delivery ratio
adugnaNecho/iot-lab-gateway
IoT-LAB Gateway Manager
adugnaNecho/UDD_Master_Data_Science
Projects done for Master in Data Science - UDD
adugnaNecho/iot-lab-websocket
Tools using the websocket protocol to communicate with nodes
adugnaNecho/graphs-in-python
adugnaNecho/UNIFEI-IESTI01-TinyML-2022.1
Course Repository - TinyML - Machine Learning for Embedding Devices
adugnaNecho/iot-lab-mosquitto-auth
IoT-LAB HTTP auth backend for the Eclipse Mosquitto broker
adugnaNecho/channel-quality-prediction
[IEEE Sensors 2021] Channel Quality Prediction for TSCH Blacklisting in Highly Dynamic Networks: A Self-Supervised Deep Learning Approach
adugnaNecho/control_node_serial
adugnaNecho/iot-lab-yocto
IoT-LAB Yocto repository
adugnaNecho/iot-edge-for-iiot
Learn how to use a hierarchy of Azure IoT Edge devices in a manufacturing environment to extract data from industrial assets and upload it to the Cloud while meeting the strict requirements of the Purdue network model.