The New Delhi Material Repository and Urban Mining project focuses on the city’s sustainable development by implementing the principles of urban mining and establishing a material repository. As the capital city of India, New Delhi holds significant historical and governmental importance, with its urban fabric comprising a combination of planned and unplanned elements. However, with … Read more
Considering the imminent demolition and in-situ rehabilitation of highly dense slum settlements, how might the application of generative algorithms facilitate the maximization and optimization of housing units within the existing spatial constraints? The slums and the unauthorized colonies are located across Delhi to identify which zones needs in-situ slum rehabilitation, there are over 700 slum … Read more
Recycling construction materials is of paramount importance in a city like Barcelona due to its numerous environmental, economic, and social benefits. Barcelona, like many urban centers, faces challenges related to rapid urbanization, resource scarcity, and environmental sustainability. By implementing a robust construction material recycling concept, the city can significantly reduce its construction waste, lower its … Read more
The Boulevard Method utilizes big data analytics and multi-objective optimization processes to map the existing materials building stock and propose adata-driven urban strategy for the future densification of the city of Helsinki. By making the hypothesis that certain roadways will become obsolete in the future due to the transformation of urban mobility, this study analyzed … Read more
Ciudades urbana y humanamente digeribles Quetzaltenango, Guatemala. C.A El enfoque anteriormente abordado se centraba en la ecología y el cambio climático, exponiendo la situación actual de la ciudad de Quetzaltenango. Se identificaban los procesos alimentarios a través de la industria y cómo estas dinámicas contribuyen a la creación de ciudades y ciudadanos enfermos. Además, se … Read more
Revolutionizing Architectural Animation with AI ArchiMationAI is revolutionizing the architectural animation industry by providing AI video visualization for architectural projects. By transforming the way architecture is presented and marketed, our solution caters to the needs of architects, real estate developers, and designers who seek to create visually engaging content that stands out in today’s highly … Read more
Introduction Archibuddy is a unique and innovative project that aims to create adaptive architectural elements to make environments emotion-responsive. Archibuddy will leverage the latest technologies to provide personalized experiences to users, optimizing their well-being and productivity using Emotion Detection Technology and the Algorithmic workflow that was developed over the course of the Master’s Research Thesis … Read more
Morph_Designer is a project that researches the potential of available building footprint morphological data, and how this can become a design-aid tool in architectural practices, aiming to give a new scope of data driven design that can be used globally. “Architecture and the city are mutually constitutive, each influencing and shaping the other in a … Read more
CONTEXT: Pedro always has visitors and enjoys exploring the city while finding new patios to have a drink in the city of Barcelona. Often with larger groups of people, the patio size can’t always accommodate. Before choosing a spot, he wants to know how big the patios are and where within the city they are … Read more
AER – Artificial Empathic Response [DIGISCAPES ver 2.0] is a project of IAAC, Institute for Advanced Architecture of Catalonia developed in the Master in Advanced Architecture 02 – by the student: Preetam Prabhakar and Research Thesis Advisor: David Andres Leon during the course MAA02 22/23 Thesis under the Algorithmic Design research thesis cluster.
As the Submission about Data Digital Tools & Big Data II, we analyzed the new york taxi data. We were given the data about Taxi Infomation in New York, in 2016.In this data, there is information, from the data, I made new information, Erased some columns, and fix the data. Reading the data the data … Read more
Instead of just creating renders or a virtual tours, This app is a creative way for clients, architects, and contractors to interact and be part of the the design process. The use of computational design and digital fabrication by architects and builders today is vital to the exploration and construction of ideas and projects. However, … Read more
The City of Marvelous Disorder is a study was conducted during the ‘CaaS studio (City as a Service): The future of cities’ services in the AI times’, that aims to built a methodology on mapping the creative sector and high education ecosystem of Barcelona, with a particular focus on social creative industry that works within … Read more
The rising problem of Digital Energy consumption Recent estimates put the contribution of the information and communications Technology, the (ICT) sector – which includes the data centers, devices and networks used for at around 4 % of global Greenhouse gas emissions. A trend that is unlikely to stop, as the amount of data produced and … Read more
The project focuses on promoting the physical, mental, and social well-being of older adults in the city of Barcelona through various initiatives, the goal is to empower older adults to remain active and engaged in their communities, and to promote healthy ageing and independence. Projected population aged 65+ What is Ageing? Health in the older … Read more
Clustering advanced industries to facilitate technology transfer in the Barcelona metropolitan region Spain has been at the forefront of pioneering research and innovation that have led to significant contributions to the world of technology. Technology Transfer Technology transfer from research to market seems like a straight-forward and linear process, but such is not the case. … Read more
Goal: to predict trip duration of NYC cabs using machine learning models. Tools: Python + Nympy + Pandas + Datetime + Plotly.express + Matplotlib + Math + Seaborn + Bokeh + Sklearn Stages of project: data cleaning, data analysis, data preparation, data testing, evaluating prediction accuracy. Data cleaning The first dataset visualization with splitting datasets … Read more
Ciudades urbana y humanamente digeribles Quetzaltenango, Guatemala. C.A Anteriormente el tema se aborda desde la perspectiva de ecología y cambio climático, donde se expone la situación actual de la ciudad de Quetzaltenango y donde se identifican los procesos alimentarios a traves de la industria y como estas dinámicas crean ciudades enfermas y obviamente ciudadanos enfermos, … Read more
Machine Learning-based Analysis of NYC Cab Trip Duration “Data-Driven Rides” is an entry for the first MaCT Machine Learning Competition that hosted on Kaggle which involves predicting the duration of taxi rides in New York City. The dataset provided for this competition is based on the 2016 NYC Yellow Cab trip record dataset and the … Read more
The objective of this exercise is to build a machine learning model that will predict taxicab trip durations based on 2016 NYC Yellow Cab trip record data. Data Fields Based on this, this project will develop a machine learning regression algorithm capable of predicting the duration of a trip based on the variables provided by … Read more
The MaCT01 students were tasked with training a model that would be used to predict NYC yellow taxi ride durations using machine learning. The dataset included pickup and drop-off datetimes, location coordinates and passenger count. Visualizing the data helped to understand the correlation between the columns and remove the highly correlated values Understanding the distribution … Read more
The source dataset provided for this project is derived from the 2016 NYC Yellow Cab trip records, which were made publicly available on the Big Query platform of the Google Cloud. The data was originally collected and published by the New York City Taxi and Limousine Commission (TLC). This dataset serves as the foundation for … Read more
#Objective #A Kaggle Competition to MaCT01 students to show their knowledge, designing an end-to-end machine learning project to predict the “Trip Duration” of NYC Taxi trips. #Workflow #First of all a workflow hast do be developed, which represents a classic approach for training machine learning models, analysing the provided training data provided by the submission, … Read more
