Results 51 to 60 of about 645,498 (280)

The Technology of Crowd-Sourcing Landmarks-Assisted Smartphone in Indoor Localization

IEEE Access, 2020
In recent years, with the popularity of smartphones, mobile sensor technologies have been widely used in indoor localization. Its advantage is that data can be collected directly from smartphones without installing any other equipment.
Xinxin Wang, Danyang Qin, Ruolin Guo, Min Zhao, Lin Ma, Teklu Merhawit Berhane   +5 more
doaj   +1 more source

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

Using Crowd Agreement for Wordnet Localization

Proceedings of the Language Resources and Evaluation Conference, 2018
Building a wordnet from scratch is a huge task, especially for languages less equipped with pre-existing lexical resources such as thesauri or bilingual dictionaries. We address the issue of costliness of human supervision through crowdsourcing that offers a good trade-off between quality of output and speed of progress. In this paper, we demonstrate a
Ganbold, Amarsanaa, Chagnaa, Altangerel, Bella, Gabor   +2 more
openaire   +3 more sources

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

Crowd Monitoring and Localization Using Deep Convolutional Neural Network: A Review

Applied Sciences, 2020
Crowd management and monitoring is crucial for maintaining public safety and is an important research topic. Developing a robust crowd monitoring system (CMS) is a challenging task as it involves addressing many key issues such as density variation ...
Akbar Khan, Jawad Ali Shah, Kushsairy Kadir, Waleed Albattah, Faizullah Khan   +4 more
doaj   +1 more source

Crowd Guilds [PDF]

, 2017
Crowd workers are distributed and decentralized. While decentralization is designed to utilize independent judgment to promote high-quality results, it paradoxically undercuts behaviors and institutions that are critical to high-quality work.
Orefice, H., Ballav, A., Gamage, D., Mainali, K., Ginzberg, A., Sehgal, V., Parsi, S., Gilbee, A., Chandrakanthan, V., Mohamed Hashim Salih, Milland, K., Matin, S., Sekandar Matin, Chhibber, N., Akshansh Sinha, Mark E. Whiting, Vaish, R., Whiting, M . E., Snehalkumar (Neil) S. Gaikwad, Teogenes Moura, Richmond-Fuller, A., Salih, M. H., Rajan Vaish, Sayna Parsi, Gaikwad, S. S., Shirish Goyal, Catherine A. Mullings, Mullings, C. A., Aaron Gilbee, Sharma, T. S., Bernstein, M. S., Nalin Chhibber, Yoni Dayan, Varshine Chandrakanthan, Moura, T., Dilrukshi Gamage, Angela Richmond-Fuller, Tejas Seshadri Sarma, Jeff Regino, Alipta Ballav, Freddie Vargus, Vibhor Sehgal, Dinesh Majeti, Gabriel Bayomi Tinoco Kalejaiye, Majeti, D., Dayan, Y., Vargus, F., Sinha, A., Goyal, S., Kristy Milland, Kalejaiye, G. B. T., Henrique Orefice, Adam Ginzberg, Kunz Mainali, Michael S. Bernstein, Regino, J.   +55 more
core   +1 more source

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

FEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source

Indoor Localization Based on IoT Crowdsensing Task Allocation

Journal of Sensor and Actuator Networks
Crowdsensing has been recently investigated as an incorporation of Human-Machine intelligence in which contribution of users is crucial. Indoor localization is one of the significant applications among divers applications that have been introduced in ...
Bahareh Lashkari, Javad Rezazadeh, Reza Farahbakhsh   +2 more
doaj   +1 more source

A Social Distance Estimation and Crowd Monitoring System for Surveillance Cameras

Sensors, 2022
Social distancing is crucial to restrain the spread of diseases such as COVID-19, but complete adherence to safety guidelines is not guaranteed. Monitoring social distancing through mass surveillance is paramount to develop appropriate mitigation plans ...
Mohammad Al-Sa’d, Serkan Kiranyaz, Iftikhar Ahmad, Christian Sundell, Matti Vakkuri, Moncef Gabbouj   +5 more
doaj   +1 more source

Visual localization in highly crowded urban environments

2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
Visual localization in crowded dynamic environments requires information about static and dynamic objects. This paper presents a robust method that learns the useful features from multiple runs in highly crowded urban environments. Useful features are identified as distinctive ones that are also reliable to extract in diverse imaging conditions ...
A. H. Abdul Hafez, Manpreet Singh, K. Madhava Krishna, C. V. Jawahar   +3 more
openaire   +2 more sources