Results 61 to 70 of about 4,684,489 (303)
Automatic Screening for Perturbations in Boolean Networks
A common approach to address biological questions in systems biology is to simulate regulatory mechanisms using dynamic models. Among others, Boolean networks can be used to model the dynamics of regulatory processes in biology.
Julian D. Schwab +2 more
doaj +1 more source
An ASP-based Approach for Attractor Enumeration in Synchronous and Asynchronous Boolean Networks [PDF]
Boolean networks are conventionally used to represent and simulate gene regulatory networks. In the analysis of the dynamic of a Boolean network, the attractors are the objects of a special attention.
Tarek Khaled, Belaïd Benhamou
doaj +1 more source
Computing preimages of Boolean networks [PDF]
Submitted to WCSB ...
Johannes Georg Klotz +2 more
openaire +4 more sources
Running the final model Boolean network.
Running the final model Boolean network.
Dania Humaidan (6041318) +2 more
core +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
The STG of Blocks in Boolean network.
The STG of Blocks in Boolean network.
Wensheng Guo (40410) +4 more
core +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
A Novel Data-Driven Boolean Model for Genetic Regulatory Networks
A Boolean model is a simple, discrete and dynamic model without the need to consider the effects at the intermediate levels. However, little effort has been made into constructing activation, inhibition, and protein decay networks, which could indicate ...
Leshi Chen +2 more
doaj +1 more source
The Boolean Satisfiability Problem (BSAT) is one of the most important decision problems in mathematical logic and computational sciences for determining whether or not a solution to a Boolean formula.. Hopfield neural network (HNN) is one of the major
Hamza Abubakar +2 more
doaj +1 more source
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source

