Results 51 to 60 of about 3,224,206 (282)
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
Counterfactual Scenarios for Automated Planning
Counterfactual Explanations (CEs) are a powerful technique used to explain Machine Learning models by showing how the input to a model should be minimally changed for the model to produce a different output. Similar proposals have been made in the context of Automated Planning, where CEs have been characterised in terms of minimal modifications to
Nicola Gigante +2 more
openaire +3 more sources
The crystal structure of Borrelia burgdorferi nicotinamidase (PncA/BBE22) reveals the correct full‐length protein initiated from a non‐canonical AUU start codon. The structure validates previous biochemical findings and resolves a long‐standing annotation error, demonstrating that the truncated database sequence is structurally incompatible with the ...
Kalvis Brangulis
wiley +1 more source
Increasing the Numeric Expressiveness of the Planning Domain Definition Language [PDF]
The technology of artificial intelligence (AI) planning is being adopted across many different disciplines. This has resulted in the wider use of the Planning Domain Definition Language (PDDL), where it is being used to model planning problems of ...
Longstaff, Andrew P., Parkinson, Simon
core +3 more sources
As a useful tool, artificial intelligence has surpassed human beings in many fields. Artificial intelligence-based automated radiotherapy planning strategies have been proposed in lots of cancer sites and are the future of treatment planning ...
Shengpeng Jiang +12 more
doaj +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Which Actions Are Always Necessary in Fully-Observable Non-Deterministic Planning?
Explaining the sequential action choices of an autonomous agent is essential for understanding the agent and learning from the agent. Given a goal-reaching action sequence in a non-deterministic environment, one important aspect of explaining action ...
Yaofang Zhang, Adnan Darwiche
doaj +1 more source
A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective
One contemporary policy to deal with traffic congestion is the design and implementation of forecasting methods that allow users to plan ahead of time and decision makers to improve traffic management.
Juan S. Angarita-Zapata +2 more
doaj +1 more source
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
PlanProjU: A BPMN-to-HDDL HTN Planning Approach for University Project Execution
This study aims to automate the generation of execution plans for university projects by transforming BPMN-based process models into hierarchical planning representations that can be executed by HTN planners.
Jhon Wilder Sanchez-Obando +2 more
doaj +1 more source

