Forecasting Research Trends Using Knowledge Graphs and Large Language Models
When research trends can be anticipated, academia and industry are able to allocate limited resources more effectively and accelerate innovation. By constructing knowledge graphs using large language models, this study analyzes the time evolution of nuclear materials research concepts and suggests a data‐driven approach of forecasting research trends ...
Maciej Tomczak +7 more
wiley +1 more source
Transitivity, contextuality and decision making. [PDF]
Sulis WH.
europepmc +1 more source
This review outlines how recurrent neural networks model multisensory integration by capturing temporal and probabilistic features of sensory input. Key developments, challenges, and future directions are summarized, providing insights into biologically inspired AI. Multisensory integration (MSI) is a core brain function underlying perception, learning,
Ehsan Bolhasani +2 more
wiley +1 more source
A novel hybrid model for species distribution prediction using probabilistic random forest, principal component analysis and genetic algorithm. [PDF]
Adekunle TA, Ogundoyin IK, Akanbi CO.
europepmc +1 more source
Kolmogorov–Arnold Network for Transistor Compact Modeling
This work introduces Kolmogorov–Arnold network (KAN) for the transistor—an architecture that integrates interpretability with high precision in physics‐based function modeling. The results reveal that despite achieving superior prediction accuracy for critical figures of merit, KAN demonstrates unique inherent challenges for transistor modeling ...
Rodion Novkin, Hussam Amrouch
wiley +1 more source
Increasing STEM career interest: The role of out-of-school time STEM programs designed for underrepresented minorities. [PDF]
Dresser M +3 more
europepmc +1 more source
Spikoder: Dual‐Mode Graphene Neuron Circuit for Hardware Intelligence
Spikoder, a graphene leaky integrate‐and‐fire circuit that operates as an encoder and a neuron in a spiking neural network (SNN), is introduced. A Spikoder‐driven double‐layer SNN shows an accuracy of 97.37% for the classification of the Modified National Institute of Standards and Technology dataset, demonstrating its potential as a key building block
Kannan Udaya Mohanan +4 more
wiley +1 more source
Transmission dynamics of mumps epidemic model through stochastic analysis with delay effect. [PDF]
Raza A +5 more
europepmc +1 more source
Enhancing Microrobot Swarm Stability and Adaptation by Autonomous Field‐of‐View Planning
This work presents an adaptive cross‐field‐of‐view navigation strategy for microrobot swarms in large‐scale workspaces by integrating global path planning via A* and local replanning using optimized informed rapidly‐exploring random tree star . The hybrid approach ensures efficient and robust trajectory execution in dynamic environments, enhancing the ...
Zhaowen Su +3 more
wiley +1 more source
The effect of socioeconomic status on academic achievement: A big data study across countries and time with integrative data analysis. [PDF]
Yigiter MS.
europepmc +1 more source

