Introduction This article contains a summary of the latest Omdena project I and other collaborators participated in. It explains the problem, collaboration structure, contribution and knowledge gained. Project name: Developing an AI Model to Identify School Locations in Sudan from Satellite Imagery. The Problem Accurate data about school locations is…

Introduction This article contains a summary of an Omdena project I and other collaborators participated in. It explains the problem, collaboration/solution structure, contribution and knowledge gained. Project name: Unsupervised Identification of anomalies that lead to data center outages using the Root Cause Analysis (RCA) process. The Problem: In Data Centers…

Introduction This is a summary of the research that was conducted for my university undergraduate final year project. Outline 1. Summary 2. Motivation 3. Contribution to knowledge 4. Solutions/Methodology 5. Research Implementation 6. Results and discussion 7. Solutions to implement green cloud computing with techniques from this research 8. Conclusion and recommendation 1. Summary …

INTRODUCTION Dataset description: contains four classes of satellite images which are: water , desert , cloudy and green area, with 1500 images of each class. The test folder contains 40 images of each class. link to dataset: https://www.kaggle.com/mahmoudreda55/satellite-image-classification Goal : To develop a deep learning or neural network model that can…

INTRODUCTION Dataset description: Swedish crime statistics from 1950 to 2015. Attribute information of dataset: crimes.total: total number of reported crimes. crimes.penal.code: total number of reported crimes against the criminal code. crimes.person: total number of reported crimes against a person. murder: total number of reported murder. sexual.offences: total number of reported sexual…

INTRODUCTION Dataset description: The growth of supermarkets in most populated cities are increasing and market competitions are also high. The dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Data analytics methods are easy to apply with this dataset. …

INTRODUCTION In a real-life setting, when a network connection is established , we need to be mindful of what plugs into the network, In some organizations , when people have access to switches they can try to plug into it, this can disrupt network connections and bandwidth usage, therefore it becomes…

Goal: build a simple streamlit application to detect complexion and gender of a person based on facial recognition. It will work by uploading a picture and also live detection with webcam. We will use the pretrained gender model and the trained complexion model. LINK TO COMPUTER-VISION PART-1(Explains the complexion model…

GOAL: We will use the trained complexion model and pre-trained gender caffemodel to detect complexion and gender of a person based on facial recognition. This detection will be with webcam. OUTLINE: Load trained complexion model, and pretrained gender caffemodel. 2. Using opencv to open webcam and find face locations 3. USING OPENCV FOR WEBCAM DETECTION Load trained complexion model, and pretrained gender caffemodel.