Results 241 to 250 of about 113,961 (303)

Real‐Time Behavior Recognition Using a Legged Robot for Animal–Robot Interaction

Journal of Field Robotics, Volume 43, Issue 3, Page 2090-2101, May 2026.
ABSTRACT Animal–robot interaction is an emerging interdisciplinary field that explores the dynamics between animals and robotic systems, as well as the design principles for effective engagement. While previous approaches have investigated animal responses to robotic stimuli, they have yet to integrate artificial intelligence (AI) for real‐time ...
Edoardo Fazzari, Donato Romano, Fabrizio Falchi, Cesare Stefanini   +3 more
wiley   +1 more source

Terrain Classification for Planetary Rovers Using Wireless In‐Wheel Sensor Modules and Machine Learning

Journal of Field Robotics, Volume 43, Issue 3, Page 1884-1904, May 2026.
ABSTRACT Safe and reliable mobility over different kinds of ground is important for planetary rovers on space missions. Since terrain changes might affect the mobility of the rover, energy consumption, and safety, detecting the type of ground in real‐time is vital.
Md Masrul Khan, Sultan Shaharea, Manseeb M. Mannaf, Shihab Ahemed, Fahim Islam Anik, Md Jarir Hossain, Helal An Nahiyan, Sourav Karmaker   +7 more
wiley   +1 more source

Beyond feasibility filters: How expertise heterogeneity enables innovation recognition

Strategic Management Journal, Volume 47, Issue 5, Page 1368-1432, May 2026.
Abstract Research Summary Organizations often struggle to identify promising innovations that balance novelty and feasibility in multidisciplinary domains, yet how does evaluator expertise heterogeneity shape these assessments? This study examines how evaluator expertise influences innovation evaluation through a field experiment with National ...
Jacqueline N. Lane, Zoe Szajnfarber, Jason Crusan, Michael Menietti   +3 more
wiley   +1 more source

Complementary Capacities and Shared Challenges: Lessons From a Brazil‐Australia Water Management Consortium

World Water Policy, Volume 12, Issue 2, May 2026.
ABSTRACT Transnational collaboration is critical for water‐security innovation, yet actor configurations and thematic priorities remain poorly characterized. We surveyed 92 Australian and Brazilian researchers from the Tropical Water Research Alliance (TWRA), analyzing 11 sets of binary variables on collaboration modes, stakeholders, implementation ...
A. P. Matei, Y. Moretto, S. E. Bunn, R. S. Rezende, M. E. R. dos Santos, J. L. D. Ribeiro, D. P. Hamilton, J. F. Goncalves Junior   +7 more
wiley   +1 more source

Observation and Coordination Needs for Current, Near‐Future, and Next Generation Earth‐Observing SAR Systems

Earth and Space Science, Volume 13, Issue 5, May 2026.
Abstract This paper summarizes an evaluation by experts of how coordination of Earth‐observing Synthetic Aperture Radar (SAR) missions among the world's space agencies could advance toward game‐changing scientific discoveries and fully realizing SAR's practical capability to address many issues facing society.
Cathleen E. Jones, Ake Rosenqvist, Björn Rommen, Magdalena Fitrzyk, Eric Rignot, Bernd Scheuchl, Yujie Zheng, Andrew Hooper, Mark Simons, Tomokazu Kobayashi, Paul Siqueira, Maurizio Santoro, Takeo Tadono, Laura Hess, Heather McNairn, Laura Frulla, Malin Johansson, Wolfgang Dierking, Line Rouyet, Annett Bartsch, Paco Lopez Dekker, Johnny A. Johannessen   +21 more
wiley   +1 more source

Capturing Spatiotemporal and Subgrid Variability in Global Land Surface Albedo Parameterization

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.
Abstract Accurate surface albedo parameterization is critical for modeling Earth's energy balance. Yet, many schemes rely on static look‐up tables or semi‐empirical formulations that fail to capture spatiotemporal variations and complex radiative interactions. This study develops a physics‐informed machine‐learning parameterization using 19 years (2003–
Akarsh Ralhan, Xin‐Zhong Liang
wiley   +1 more source

Making Machine Learning Accessible for Developmental Science: The Case of Automated Face Detection

Developmental Science, Volume 29, Issue 3, May 2026.
ABSTRACT The last decade has seen rapid advancements in machine learning, significantly transforming fields like cybersecurity and healthcare. Developmental science has been slower to adopt these technologies. Yet, machine learning holds immense potential to transform this field, enabling scalable and data‐driven insights into developmental processes ...
Teodor Y. Nikolov, Julia Yurkovic‐Harding, Tamas Foldes, Jessica Bradshaw, Yu‐Kun Lai, Hana D'Souza   +5 more
wiley   +1 more source

On the Optimal Selection of Mel‐Frequency Cepstral Coefficients for Voice Deepfake Detection

Expert Systems, Volume 43, Issue 5, May 2026.
ABSTRACT The continuous evolution of techniques for generating manipulated audio, known as voice deepfakes, and the widespread availability of tools that produce convincing forgeries have created an urgent need for reliable detection methods. This work considers the dimensionality of Mel‐Frequency Cepstral Coefficients (MFCCs) as a core design variable
Sergio A. Falcón‐López, Llanos Tobarra, Antonio Robles‐Gómez, Rafael Pastor‐Vargas   +3 more
wiley   +1 more source

Enhanced Gamma Radiation Shielding Using Epoxy Quartz Fabric Composites Reinforced With CoCl2 Microparticles

Advanced Engineering Materials, Volume 28, Issue 8, 22 April 2026.
The growing demand for lightweight, nontoxic, and multifunctional gamma shielding materials has intensified efforts to find alternatives to conventional lead and aluminum‐based protectants. In this work, we develop epoxy quartz fabric composites reinforced with cobalt chloride (CoCl2) microparticles, fabricated via hand lay‐up with varying filler ...
Summan Urooge, Ahsan Irshad, Umar Jamil, Srosh Fazil, Khuram Liaqat, Kashif Shahzad, Fakhar Alam, Mehboob Alam   +7 more
wiley   +1 more source