Results 211 to 220 of about 364,278 (313)

Advanced applications in chronic disease monitoring using IoT mobile sensing device data, machine learning algorithms and frame theory: a systematic review. [PDF]

Front Public Health
Liu Y, Wang B.
europepmc   +1 more source

A Mobile Sensing App to Monitor Youth Mental Health: Observational Pilot Study.

JMIR Mhealth Uhealth, 2021
MacLeod L, Suruliraj B, Gall D, Bessenyei K, Hamm S, Romkey I, Bagnell A, Mattheisen M, Muthukumaraswamy V, Orji R, Meier S.   +10 more
europepmc   +1 more source

Using mobile sensing data to assess stress: Associations with perceived and lifetime stress, mental health, sleep, and inflammation. [PDF]

Digit Health, 2021
Byrne ML, Lind MN, Horn SR, Mills KL, Nelson BW, Barnes ML, Slavich GM, Allen NB.   +7 more
europepmc   +1 more source

Uplink Sensing in Perceptive Mobile Networks with Asynchronous Transceivers [PDF]

, 2020
Zhitong Ni, J. Andrew Zhang, Xiaojing Huang, Kai Yang, Jinhong Yuan   +4 more
openalex   +1 more source

Walking and Sensing Mobile Lives

, 2015
In this position paper, we discuss how mindful walking with people allow us to explore sensory aspects of mobile lives that are typically absent from research. We present an app that aids researchers collect impressions from a walk.
Bødker, Mads, Meinhardt, Nina Dam
openaire   +1 more source

Organic Electrochemical Transistor Channel Materials: Copolymerization Versus Physical Mixing of Glycolated and Alkoxylated Polymers

Advanced Functional Materials, EarlyView.
This work discusses the use of blended channel materials in OECTs. It explores how mixing glycolated and alkoxylated polymers in various ratios offers a simpler and more efficient route to tuning OECT properties. The performance of the polymer blends is compared to the corresponding copolymers, demonstrating similar OECT characteristics, swelling ...
Lize Bynens, Kaishuai Zhang, Priscila Cavassin, Arwin Goossens, Jochen Vanderspikken, Tania C. H. Castillo, Demetra Tsokkou, Adam Marks, Arianna Magni, Karrie Weaver, Laurence Lutsen, Sahika Inal, Koen Vandewal, Natalie Banerji, Wouter Maes   +14 more
wiley   +1 more source

Predicting Brain Functional Connectivity Using Mobile Sensing. [PDF]

Proc ACM Interact Mob Wearable Ubiquitous Technol, 2020
Obuchi M, Huckins JF, Wang W, Dasilva A, Rogers C, Murphy E, Hedlund E, Holtzheimer P, Mirjafari S, Campbell A.   +9 more
europepmc   +1 more source

Information-Theoretic Approach to Efficient Adaptive Path Planning for Mobile Robotic Environmental Sensing

, 2009
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla   +2 more
openalex   +2 more sources

Ideal Molecular Sieving with a Dense MOF for Helium Upgrading with Highly Diffusion Selective Mixed Matrix Membranes

Advanced Functional Materials, EarlyView.
The separation of Helium gas from natural gas is challenging but highly important. MIL‐116(Ga), a “non‐porous” metal–organic framework is used as a molecular sieve to separate He from CH4. Druse‐like MIL‐116(Ga) particles are integrated into polysulfone mixed matrix membranes.
Ayisha Komal, Laura Calderón‐Rodríguez, Oksana Smirnova, Eren Grossmann, Aparna Binu Varghese, Karen Marlenne Garcia Alvarez, Andreas Schneemann, Thomas Hoyer, Ralf Wyrwa, Felix Helmut Schacher, Alexander Knebel   +10 more
wiley   +1 more source

HTTP/2 in Modern Web and Mobile Sensing-based Applications Analysis,Benchmarks and Current Issues

, 2016
Shahrum Abdullah, Alshammari, Ahmad Al Mogren   +2 more
openalex   +1 more source