General framework, opportunities and challenges for crowdsourcing techniques: A comprehensive survey

SS Bhatti, X Gao, G Chen - Journal of Systems and Software, 2020 - Elsevier
Crowdsourcing, a distributed human problem-solving paradigm is an active research area
which has attracted significant attention in the fields of computer science, business, and …

Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery

AD Richardson, K Hufkens, T Milliman, DM Aubrecht… - Scientific data, 2018 - nature.com
Vegetation phenology controls the seasonality of many ecosystem processes, as well as
numerous biosphere-atmosphere feedbacks. Phenology is also highly sensitive to climate …

Mobile crowdsourcing in smart cities: Technologies, applications, and future challenges

X Kong, X Liu, B Jedari, M Li, L Wan… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Local administrations and governments aim at leveraging wireless communications and
Internet of Things (IoT) technologies to manage the city infrastructures and enhance the …

A survey of general-purpose crowdsourcing techniques

AI Chittilappilly, L Chen… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Since Jeff Howe introduced the term Crowdsourcing in 2006, this human-powered problem-
solving paradigm has gained a lot of attention and has been a hot research topic in the field …

CVC-FP and SGT: a new database for structural floor plan analysis and its groundtruthing tool

LP de las Heras, OR Terrades, S Robles… - International Journal on …, 2015 - Springer
Recent results on structured learning methods have shown the impact of structural
information in a wide range of pattern recognition tasks. In the field of document image …

Artificial intelligence approaches for the generation and assessment of believable human-like behaviour in virtual characters

JML Asensio, J Peralta, R Arrabales, MG Bedia… - Expert Systems with …, 2014 - Elsevier
Having artificial agents to autonomously produce human-like behaviour is one of the most
ambitious original goals of Artificial Intelligence (AI) and remains an open problem …

Bh2m: The barcelona historical, handwritten marriages database

D Fernández-Mota, J Almazán, N Cirera… - 2014 22nd …, 2014 - ieeexplore.ieee.org
This paper presents an image database of historical handwritten marriages records stored in
the archives of Barcelona cathedral, and the corresponding meta-data addressed to …

Integrating camera imagery, crowdsourcing, and deep learning to improve high-frequency automated monitoring of snow at continental-to-global scales

M Kosmala, K Hufkens, AD Richardson - PloS one, 2018 - journals.plos.org
Snow is important for local to global climate and surface hydrology, but spatial and temporal
heterogeneity in the extent of snow cover make accurate, fine-scale mapping and monitoring …

Data coverage for detecting representation bias in image datasets: A crowdsourcing approach

M Mousavi, N Shahbazi, A Asudeh - arXiv preprint arXiv:2306.13868, 2023 - arxiv.org
Existing machine learning models have proven to fail when it comes to their performance for
minority groups, mainly due to biases in data. In particular, datasets, especially social data …

Application of RFID technology for in-house drug management system

M Parida, HC Yang, SW Jheng… - 2012 15th international …, 2012 - ieeexplore.ieee.org
RFID based technology plays an important role in healthcare environments by providing a
better drug management system by overcoming the current challenges associated with it. In …