Put scanned hand back images into DenseNet201 to predict the indoor temperature [with indoor factor K[add at the beginning / end] / without factor K].
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Updated
Nov 10, 2018 - Jupyter Notebook
Put scanned hand back images into DenseNet201 to predict the indoor temperature [with indoor factor K[add at the beginning / end] / without factor K].
An interface to display questions via browsers stored in a database managed by survey_admin.
A Python3 module to calculate many different thermal comfort indicies
These datasets are collected for the GBIC project to conduct research about indoor human thermal comfort. The GBIC research project proposes to develop online thermal comfort models via a deep-learning approach and apply them to behavioral studies to drive “greener, smarter and healthier buildings” in the tropics (e.g., Singapore). Leveraging pr…
Algorithms for Thermal Comfort Prediction using PMV and Adaptive Method.
Thermal Comfort sensor for HA (absolute humidity, heat index, dew point, thermal perception, simmer index, simmer zone)
Library for the project "Thermal comfort: Smart building monitoring platform and visual interface" to install a new platform
This is a collection of google Colab notebooks that I created while following edx.com's "Data Science for Construction, Architecture and Engineering" course by Clayton Miller.
Urban block renewal maximizing outdoor thermal comfort using deep reinforcement learning methods.
Source code for the project "Thermal comfort: Smart building monitoring platform and visual interface"
an online web application that enables you simulate solar pre-cooling for a range of exsiting buildings in Australian building stock.
Thermal Comfort sensor for HA (absolute humidity, heat index, dew point, thermal perception)
A novel method to incorporate existing policy (Rule-based control) with Reinforcement Learning.
COFFEE is a lightweight, flexible, and extensible SwiftUI framework to build customizable feedback applications, particularly for thermal comfort and IEQ research.
Implementation of the Humans-as-a-Sensor for Buildings paper.
Agent based modelling of LLMs power actors for thermal comfort
Software implementing ergonomics algorithms (strain index, lifting index, metabolic rate, etc.)
JavaScript package to calculate several thermal comfort indices (e.g., PMV, SET, two-node model, PHS)
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