Results 11 to 20 of about 706,148 (325)
Deep Learning for Multi-Class Antisocial Behavior Identification From Twitter
Social Media has become an integral part of our daily life. Not only it enables collaboration and flow of information but has also become an imperative tool for businesses and governments around the world. All this makes a compelling case for everyone to
Ravinder Singh +6 more
doaj +1 more source
Deep learning for pollen allergy surveillance from twitter in Australia
Background The paper introduces a deep learning-based approach for real-time detection and insights generation about one of the most prevalent chronic conditions in Australia - Pollen allergy. The popular social media platform is used for data collection
Jia Rong +4 more
doaj +1 more source
Automatic Detection of Diabetic Eye Disease Through Deep Learning Using Fundus Images: A Survey
Diabetes Mellitus, or Diabetes, is a disease in which a person's body fails to respond to insulin released by their pancreas, or it does not produce sufficient insulin.
Rubina Sarki +3 more
doaj +1 more source
Manual para la promoción de la Inversión Extranjera Directa a nivel subnacional en mercados emergentes [PDF]
Este manual está diseñado como una herramienta práctica destinada a asistir a aquellas ciudades con recursos escasos a incrementar el nivel de inversiones general y, en particular, a atraer Inversión Extranjera Directa (IED).
Millennium Cities Initiative +1 more
core +2 more sources
It is commonly asserted that so-called compact development is the urban form most able to sustainably accommodate growth by reducing travel distances and conserving land, but credible supportive evidence remains limited. This study rigorously and realistically tested the relative performance of spatial options over the next 30 years for three ...
Echenique, Marcial +2 more
openaire +3 more sources
Infrastructure advancement is a key attribute that defines the development and effective growth of a city or region. Since the introduction of the United Nations Sustainability Development Goals (UN SDGs), more construction companies are focusing on ...
Malindu Sandanayake +2 more
doaj +1 more source
Connected seeds and sensors: co-designing internet of things for sustainable smart cities with urban food-growing communities. [PDF]
We present a case study of a participatory design project in the space of sustainable smart cities and Internet of Things. We describe our design process that led to the development of an interactive seed library that tells the stories of culturally ...
Baggio Aline +4 more
core +1 more source
Firebrand spotting is a potential threat to people and infrastructure, which is difficult to predict and becomes more significant when the size of a fire and intensity increases.
Amila Wickramasinghe +2 more
doaj +1 more source
Multi-objective multi-criteria evolutionary algorithm for multi-objective multi-task optimization
Evolutionary multi-objective multi-task optimization is an emerging paradigm for solving multi-objective multi-task optimization problem (MO-MTOP) using evolutionary computation.
Ke-Jing Du +3 more
doaj +1 more source
A Review of Experimental and Numerical Studies of Lithium Ion Battery Fires
Lithium-ion batteries (LIBs) are used extensively worldwide in a varied range of applications. However, LIBs present a considerable fire risk due to their flammable and frequently unstable components. This paper reviews experimental and numerical studies
Matt Ghiji +2 more
doaj +1 more source

