Results 241 to 250 of about 85,077 (292)

Computational intelligence modeling and optimization of small molecule API solubility in supercritical solvent for production of drug nanoparticles. [PDF]

Sci Rep
Liang J, Zhao H, Zhou S, Gao Y.
europepmc   +1 more source

Performance Rate Analysis in Photovoltaic Solar Plants by Machine Learning

Advanced Energy and Sustainability Research, EarlyView.
Thermal imaging and deep learning are combined to detect faults in photovoltaic panels inspected by autonomous vehicles. A robust pipeline classifies panel defects from aerial thermograms using a convolutional neural network, supporting both real‐time and offline analysis.
Alba Muñoz del Rio, Isaac Segovia Ramírez, Fausto Pedro García Márquez   +2 more
wiley   +1 more source

Supervised Machine Learning and Physics Machine Learning approach for prediction of peak temperature distribution in Additive Friction Stir Deposition of Aluminium Alloy. [PDF]

PLoS One
Mishra A, Jatt V, Sefene EM, Salunkhe S, Cep R, Abouel Nasr E.   +5 more
europepmc   +1 more source

Risk Factors and Predictive Models for Sarcopenia in Older Adults

AGING MEDICINE, EarlyView.
Independent risk factors for sarcopenia identified by Lasso regression and logistic regression in the study were BMI, prealbumin, albumin/globulin ratio (A/G ratio), serum creatinine, and phosphorus. These factors were used to construct a nomogram model and a decision tree model. Both models showed effectiveness in predicting sarcopenia in older adults,
Shiyuan Zhang, Xue Yang, Nina An, Meng Lv, Lanyu Yang, Rui Liu, Song Hu, Weiguo Chen, Wenjing Feng, Yongjun Mao   +9 more
wiley   +1 more source

Research on memory failure prediction based on ensemble learning. [PDF]

PLoS One
Zhang P, Zhang J, Li Y.
europepmc   +1 more source

An investigation of the price discovery role of futures markets: A dynamic time warping analysis of the United States corn markets

Agribusiness, EarlyView.
Abstract Futures markets are critical to price discovery and often dominate spot markets. We analyze the linkages between daily corn futures and spot prices in the United States using dynamic time warping. This nonparametric pattern recognition technique has several advantages over traditional time series methods.
Dragan Miljkovic, Puneet Vatsa, Frayne Olson   +2 more
wiley   +1 more source

A machine learning-based severity stratification tool for high altitude pulmonary edema. [PDF]

BMC Med Inform Decis Mak
Gesang L, Suona Y, Danzeng Z, Ci B, Gesang Q, Cidan W, Dingzeng Q, Baima Z, Zhaxi Q.   +8 more
europepmc   +1 more source

Beyond subsistence? The role of rural cooperatives in driving smallholder commercialization in Ethiopia

Agribusiness, EarlyView.
Abstract The transition from subsistence to market‐oriented agriculture holds the potential to boost rural economic progress and improve the well‐being of the rural poor in developing countries. Despite this potential, there is limited understanding of the key drivers for smallholder commercialization. In this study, we utilize comprehensive three‐wave
Abebayehu Girma Geffersa, Md. Monirul Islam   +1 more
wiley   +1 more source

Machine learning approach for optimizing usability of healthcare websites. [PDF]

Sci Rep
Kaur A, Singh J, Kaur S.
europepmc   +1 more source