Results 271 to 280 of about 176,906 (321)
Applying large language models to extract information from crop trait prioritization studies
Investigation of farmers', consumers', and other stakeholders' trait preferences is vital for the adoption and impact of improved crop varieties. While qualitative research methods are known to increase the depth and scope of information from respondents, only 5% of previous trait preference studies used qualitative data in their analyses. We show that
Erin E. Farmer+3 more
wiley +1 more source
GBsim: A Robust GCN-BERT Approach for Cross-Architecture Binary Code Similarity Analysis. [PDF]
Du J, Wei Q, Wang Y, Bai X.
europepmc +1 more source
ABSTRACT The aim of this study was to develop collision avoidance control for a teleoperated dual robotic arm to minimize collisions in human‐robot collaboration. Generally, in the absence of work cell mapping, collision checking in a teleoperated mobile robot is performed based on motor current or torque. However, this method cannot predict collisions
Samrat Gautam+4 more
wiley +1 more source
ABSTRACT Simultaneous localization and mapping (SLAM) is essential for mobile robotics, enabling autonomous navigation in dynamic, unstructured outdoor environments without relying on external positioning systems. These environments pose significant challenges due to variable lighting, weather conditions, and complex terrain.
Fabian Schmidt+3 more
wiley +1 more source
Editorial: Computational intelligence for signal and image processing, volume II. [PDF]
Koundal D, Tohka J.
europepmc +1 more source
Advances and Trends in Terrain Classification Methods for Off‐Road Perception
ABSTRACT Off‐road autonomous vehicles (OAVs) are becoming increasingly popular for navigating challenging environments in agriculture, military, and exploration applications. These vehicles face unique challenges, such as unpredictable terrain, dynamic obstacles, and varying environmental conditions.
Tanzila Arafin+5 more
wiley +1 more source
A Survey on Semantic Communications in Internet of Vehicles. [PDF]
Ye S, Wu Q, Fan P, Fan Q.
europepmc +1 more source
A large language model framework for literature-based disease-gene association prediction. [PDF]
Li PH+5 more
europepmc +1 more source
Towards theoretically understanding how long-term memory semantics can support working memory performance. [PDF]
Hart R, Logie RH, Brown Nicholls LA.
europepmc +1 more source