Results 121 to 130 of about 533 (152)

An Interpretable TCN– Transformer Framework for Lithium‐Ion Battery State of Health Estimation Using SHAP Analysis

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Accurate state of health (SOH) estimation of Li‐ion batteries is essential for ensuring safety, reliability, and prolonging battery lifespan in energy storage systems and electric vehicles. This study proposes a hybrid temporal convolutional network (TCN)–transformer framework that effectively captures both short‐term temporal dynamics and ...
Fusen Guo, Zhibo Zhang, Xuzhe Ma, Lin Li, Hailing Zhou, Chaojie Li, Huadong Mo   +6 more
wiley   +1 more source

The dynamics of explore-exploit decisions suggest a threshold mechanism for reduced random exploration in older adults. [PDF]

PLoS Comput Biol
Phelps CE, Frisvold AE, Sreeram M, Antoniou VD, Oliveira LE, Tooke SR, Lu YZ, Lemon AC, Fraire JU, Delval AG, Smith BK, Spangenberg DH, Mithelavage MN, Ngo MN, Keller EMO, Issac LJ, Harader SA, Mizell JM, Wang S, Keung W, Sundman MH, Franchetti MK, Chou YH, Alexander GE, Wilson RC.   +24 more
europepmc   +1 more source

Gaming Habits in Esports: An Exploratory Approach Among University Student Gamers in Europe. [PDF]

Behav Sci (Basel)
Teixeira MC, Mendes GA, García-Fernández J, Sesinando AD.   +3 more
europepmc   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

Problematic online behaviors and their early patterns of co-occurrence in young adults: insights from directed and undirected networks. [PDF]

Front Psychiatry
Błoch M, Misiak B.
europepmc   +1 more source

Tourist sightings improve the precision of camera trap‐derived density estimates using spatial capture‐recapture models

Remote Sensing in Ecology and Conservation, EarlyView.
In this study, we combine tourist‐contributed images with camera trap‐based monitoring data to estimate leopard (Panthera pardus) population densities using multi‐session spatial capture–recapture models. We show that incorporating tourist observations improves precision and yields an overall density estimate of 7.02 leopards per 100 km2, while ...
Rachael S. Leeman, Robert S. Davis, Antonio Uzal, Heinrich Neumeyer, Rebecca A. Garbett, Joshua P. Twining, Richard W. Yarnell   +6 more
wiley   +1 more source

Computational and Neural Evidence for Altered Fast and Slow Learning from Losses in Problem Gambling. [PDF]

J Neurosci
Iigaya K, Larsen T, Fong T, O'Doherty JP.   +3 more
europepmc   +1 more source

Is gambling like a virus?: A conceptual framework based on empirical data for the prevention of gambling addiction

, 2023
Chóliz M.
europepmc   +1 more source

Covariates influence optimal camera‐trap survey design for occupancy modelling

Remote Sensing in Ecology and Conservation, EarlyView.
We investigated the impact of covariates (e.g., habitat quality, temperature) on the optimal design of camera trap surveys to estimate species occupancy. Using simulations of a virtual species, we found that increasing the number of cameras consistently reduced error across a range of covariate effects.
Owain Barton, Brian D. Gerber, Line S. Cordes, John R. Healey, Graeme Shannon   +4 more
wiley   +1 more source

Knee height is often right: evaluating device height effects on camera trapping rate

Remote Sensing in Ecology and Conservation, EarlyView.
Camera trap deployment height can introduce systematic biases in detection trapping rates across species of different body sizes. Combining 172 paired sampling points in five experiments across Europe, North America and Africa, our results show that low cameras significantly increase detections of small‐ and medium‐sized species, whereas high cameras ...
Jorge Sereno‐Cadierno, Tim R. Hofmeester, Marcus Becker, Alice Bernard, Lizette Moolman, Hervé Fritz, Pelayo Acevedo   +6 more
wiley   +1 more source