Results 61 to 70 of about 746,689 (293)
Crowd Counting with Decomposed Uncertainty
, 2020 Research in neural networks in the field of computer vision has achieved remarkable accuracy for point estimation. However, the uncertainty in the estimation is rarely addressed.
Oh, Min-hwan +2 more
core +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
Results in EngineeringCollecting and annotating real-world crowd data hinders effective analysis of overcrowding. The limited availability of detailed and diverse crowd datasets affects the reliability of predictive models.
S Vijaya Lakshmi Gayathri +3 more
doaj +1 more source
Advances and Trends in Real Time Visual Crowd Analysis
Sensors, 2020 Real time crowd analysis represents an active area of research within the computer vision community in general and scene analysis in particular. Over the last 10 years, various methods for crowd management in real time scenario have received immense ...
Khalil Khan +4 more
doaj +1 more source
A TOPSIS-Inspired Ranking Method Using Constrained Crowd Opinions for Urban Planning
Entropy, 2022 Crowdsourcing has become an important tool for gathering knowledge for urban planning problems. The questions posted to the crowd for urban planning problems are quite different from the traditional crowdsourcing models.
Sujoy Chatterjee, Sunghoon Lim
doaj +1 more source
it Freelancers as Knowledge Workers: Shifts in Working Conditions and Work Autonomy in Crowd Work
Journal of Labor and Society, 2023 Abstract New forms of work via online platforms—here referred to as crowd work—have caused big shifts in the organization of work. This article addresses the question as to how the institutional and organizational conditions in crowd work have had an impact on it freelancers working at a platform in Germany.
Nierling, Linda +2 more
openaire +2 more sources
FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Applied SciencesMobile apps have revolutionized almost every aspect of our daily lives, shaping the way we shop, learn and work. The transformative and unprecedented impact they have made on our lifestyle and the convenience they have offered have increased their ...
Ghadah Alamer +2 more
doaj +1 more source
Investigating the Cultural Impact on Predicting Crowd Behavior
Computers, 2023 The Cultural Crowd–Artificial Neural Network (CC-ANN) takes the cultural dimensions of a crowd into account, based on Hofstede Cultural Dimensions (HCDs), to predict social and physical behavior concerning cohesion, collectivity, speed, and distance ...
Fatima Jafar Muhdher +2 more
doaj +1 more source
Why human connection is the true metric of research success
FEBS Open Bio, EarlyView.Human‐centred mentorship can be shaped by mentor attributes, actions, intrinsic drive and career ambition. Drawing on reflections across Singapore and France, as well as workshop insights from FEBS‐IUBMB ENABLE 2024, this article shows that human‐centred mentorship creates the conditions for sustainable growth, well‐being and retention in research ...
Timothy Lin Yun Tan +3 more
wiley +1 more source