Results 51 to 60 of about 6,555,116 (242)

Rate-of-change analysis applied to machine tool monitoring and maintenance schedules [PDF]

In high-value manufacturing, production equipment is often calibrated on a regular basis to ensure it remains within the required absolute tolerance. However, this go/no go approach means that data relating to the rate of change of the condition of the ...
Longstaff, Andrew P., Machine Tool Technologies ltd., Fletcher, Simon, Willoughby, Peter, Perkins, Christopher   +4 more
core   +3 more sources

Does machine learning outperform logistic regression in predicting individual tree mortality?

Ecological Informatics
Tree mortality is a crucial process in forest dynamics and a key component of forest growth models and simulators. Factors like competition, drought, and pathogens drive tree mortality, but the underlying mechanism is challenging to model.
Aitor Vázquez-Veloso, Astor Toraño Caicoya, Felipe Bravo, Peter Biber, Enno Uhl, Hans Pretzsch   +5 more
doaj   +1 more source

Machine-learning-enabled characterization of individual ring resonators in integrated photonic lattices [PDF]

APL Photonics
Accurately determining the underlying physical parameters of individual elements in integrated photonics is increasingly difficult as device architectures become more complex.
Andrea Blanco-Redondo, Jose L. Lado, Hongwei Li, Faluke Aikebaier, Amin Hashemi, Elizabeth Louis Pereira   +5 more
doaj   +1 more source

Human–machine cooperation meta-model for clinical diagnosis by adaptation to human expert’s diagnostic characteristics

Scientific Reports, 2023
Artificial intelligence (AI) using deep learning approaches the capabilities of human experts in medical image diagnosis. However, due to liability issues in medical decisions, AI is often relegated to an assistant role.
Hae-Jeong Park, Sung Huhn Kim, Jae Young Choi, Dongchul Cha   +3 more
doaj   +1 more source

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

Individual Identification of Medaka, a Small Freshwater Fish, from the Dorsal Side Using Artificial Intelligence

Hydrobiology
Individual identification is an important ability for humans and perhaps also for non-human animals to lead social lives. It is also desirable for laboratory experiments to keep records of each animal while rearing them in mass.
Mai Osada, Masaki Yasugi, Hirotsugu Yamamoto, Atsushi Ito, Shoji Fukamachi   +4 more
doaj   +1 more source

Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions

FEBS Letters, EarlyView.
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang, Hyo Been Jin, Chang Min Kim, So Yeon Lee, Hyun Ho Park   +4 more
wiley   +1 more source

A Comparison of Machine Learning-Based Individual Mobility Classification Models Developed on Sensor Readings from Loosely Attached Smartphones

Communications, 2020
General mobility estimation is demanded for strategy, policy, systems and services developments and operations in transport, urban development and telecommunications.
Renato Filjar, Ivan Sklebar, Marko Horvat   +2 more
doaj   +1 more source

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

FEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta, Hari Baskar Balasubramanian, Amir Pasokh, Marietta Zille   +3 more
wiley   +1 more source

Assessing individual genetic susceptibility to metabolic syndrome: interpretable machine learning method

Annals of Medicine
Background Genome-wide association studies have provided profound insights into the genetic aetiology of metabolic syndrome (MetS). However, there is a lack of machine-learning (ML)-based predictive models to assess individual genetic susceptibility to ...
Tao Huang, Yuanyuan Li, Simin Wang, Shijie Qiao, Xiujuan Zheng, Wenhui Xiong, Menghan Yang, Xirui Huang, Bizhen Gao   +8 more
doaj   +1 more source