Results 101 to 110 of about 350,954 (226)
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
The individual project report is intended to illustrate definitions and constraints for “automate warehouse” in the context of knowledge representation and reasoning.
openaire +2 more sources
Machine‐Learning‐Guided Analysis of Breast Tumor Malignancy Based on Nuclear Morphological Features
Through statistical and machine learning approaches, we evaluate a clinically relevant dataset comprising more than 500 instances of patient breast tumor nuclei with 10 size and shape features. Our study underscores the significance of nuclear morphological features as potential breast tumor malignancy biomarkers and their combined use with statistical
Aditi Birwadkar +3 more
wiley +1 more source
Study of the Vertical Distribution of Air Temperature in Warehouses
Warehouses are usually large, plain industrial buildings commonly used for storage of goods. Vertical distribution of air temperature is an important aspect for indoor environment design, which must be taken into account by architects and engineers in ...
César Porras-Amores +2 more
doaj +1 more source
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley +1 more source
In the realms of production logistics and intelligent warehousing systems, Multi-Agent Path Finding (MAPF) is paramount, particularly in crafting optimal robot navigation paths while mitigating spatiotemporal conflicts. This paper delves into MAPF within
Tao Wang
doaj +1 more source
A Multi-Storehouse Supply Chain Considering Systems’ Reliability and Free Shipping
This paper aims to frame a two-player supply chain model with a production systemchr('39')s reliability influenced products’ defection rate. Upon generating and inspecting the products, the producer reworks the defectives and sells the perfect and ...
Sujata Saha, Tripti Chakrabarti
doaj
Warehouse of failed invention [PDF]
The exhibition consisted of a new installation work, combined with sculptural and video elements. The space was initially transformed from its 'white cube' architectural state, into a warehouse storage unit.
Selby, Mark
core +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Spare parts inventory management in warehouse: a lean approach
Inventory management plays a vital role in attaining the desired service level and prevents excess capital from being tied up in the form of dead stock.
Rahul S Mor +3 more
doaj

