Results 31 to 40 of about 7,176,291 (259)

A Video-Based Cognitive Emotion Recognition Method Using an Active Learning Algorithm Based on Complexity and Uncertainty

open access: yesApplied Sciences
The cognitive emotions of individuals during tasks largely determine the success or failure of tasks in various fields such as the military, medical, industrial fields, etc.
Hongduo Wu   +6 more
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

Geographic Knowledge Graph (GeoKG): A Formalized Geographic Knowledge Representation

open access: yesISPRS International Journal of Geo-Information, 2019
Formalized knowledge representation is the foundation of Big Data computing, mining and visualization. Current knowledge representations regard information as items linked to relevant objects or concepts by tree or graph structures.
Shu Wang   +5 more
doaj   +1 more source

SVM+KF Target Tracking Strategy Using the Signal Strength in Wireless Sensor Networks

open access: yesSensors, 2020
Target Tracking (TT) is a fundamental application of wireless sensor networks. TT based on received signal strength indication (RSSI) is by far the cheapest and simplest approach, but suffers from a low stability and precision owing to multiple paths ...
Xing Wang   +4 more
doaj   +1 more source

Construction of Stretching-Bending Sequential Pattern to Recognize Work Cycles for Earthmoving Excavator from Long Video Sequences

open access: yesSensors, 2021
Counting the number of work cycles per unit of time of earthmoving excavators is essential in order to calculate their productivity in earthmoving projects. The existing methods based on computer vision (CV) find it difficult to recognize the work cycles
Yiguang Wu   +7 more
doaj   +1 more source

Pathways and pitfalls: a qualitative study of student experiences in biomedical science education

open access: yesFEBS Open Bio, EarlyView.
Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell   +8 more
wiley   +1 more source

From patient advocacy to patient‐driven research: Building active partnerships beginning at the bench to reach the bedside

open access: yesFEBS Open Bio, EarlyView.
Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia   +9 more
wiley   +1 more source

Unveiling the spatiotemporal propagation patterns of sentiments regarding the Israeli–Palestinian military conflict

open access: yesHumanities & Social Sciences Communications
Military conflicts occur in the physical world, while conflicting opinions simultaneously emerge in cyberspace. The rise of social media has facilitated the dissemination and exchange of these opinions.
Dajiang Wang   +8 more
doaj   +1 more source

A Method of Directional Signs Location Selection and Content Generation in Scenic Areas

open access: yesISPRS International Journal of Geo-Information, 2020
The Tourist Oriented Directional Signs (TODS) system is an essential and important project in constructing and planning scenic areas. At present, the placement of directional signs generally depends on the personal experience of the tour manager to ...
Ling Ruan   +4 more
doaj   +1 more source

Artificial Intelligence–Based Online Symptom Assessment Tools for Systemic Lupus Erythematosus Diagnosis: Patient Perspectives

open access: yesArthritis Care &Research, EarlyView.
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein   +7 more
wiley   +1 more source

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