Results 121 to 130 of about 11,232 (258)

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley   +1 more source

Exploring the Influence of Wood Chips on the Aroma Complexity of Apple Brandies

open access: yesActa Universitatis Cibiniensis. Series E: Food Technology
Wooden barrels are traditionally used for aging alcoholic beverages. We decided to use different types of wood chips (pear, cherry, walnut, medium roasted oak and heavily roasted oak) to improve flavor of apple brandies obtained from Rubin cultivar.
Januszek Magdalena   +3 more
doaj   +1 more source

Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics

open access: yesAdvanced Intelligent Discovery, EarlyView.
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha   +2 more
wiley   +1 more source

Smart Denture with Embedded Thin‐Film Temperature Sensors Patterned by Femtosecond Laser Pulse for Elderly Healthcare

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
We demonstrate the direct‐laser patterning of a gold thin film on polymethyl methacrylate to fabricate a temperature sensor for dentures. The temperature sensor‐embedded smart dentures are evaluated in an oral environment, enabling in‐situ monitoring for elderly healthcare.
Han Ku Nam   +7 more
wiley   +1 more source

Classification of Wood Chips Using Electrical Impedance Spectroscopy and Machine Learning. [PDF]

open access: yesSensors (Basel), 2020
Tiitta M   +4 more
europepmc   +1 more source

Co‐Design of Stretchable Fabric Sensors and Tiny Machine Learning for Human Interface Device‐Based Edge‐Intelligent Wearable Gloves

open access: yesAdvanced Intelligent Systems, EarlyView.
A flexible smart glove integrated with textile sensors enables real‐time hand gesture recognition for human–machine interaction. Using edge AI inference and Bluetooth communication, the system translates finger movements into human interface device commands to control endpoint devices efficiently.
Chi Cuong Vu   +2 more
wiley   +1 more source

Food insecurity and unemployment among immigrants in the United States

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract Immigrants can be more vulnerable to economic downturns and, during periods of economic hardship, more likely to experience food insecurity compared to natives. This study examines the differential effect of the unemployment rate on the probability of being food insecure among diverse groups of immigrant households relative to natives in the ...
Siwen Zhou   +3 more
wiley   +1 more source

Revisiting Securidaca longipedunculata Seed Oil: Applying NMR and Mass Spectroscopy to Confirm the Presence of 2‐Acetyl‐1,3‐Diacyl–sn‐Glycerols and Conjugated Hydroxydienoic Fatty Acids

open access: yesJournal of the American Oil Chemists' Society, EarlyView.
The manuscript confirms and expands on previous reports concerning the presence of unusual conjugated hydroxydienoic fatty acids and acetyl‐TAG in the seed oil of Securidaca longipedunculata. The location of acetate only at sn‐2 of TAG was conclusively shown by high resolution NMR and hydroxy seed fatty acids are characterized.
Mark A. Smith   +2 more
wiley   +1 more source

Fracture processes in wood chipping

open access: yes, 2008
In both the chemical and mechanical pulping process, the logs are cut into wood chips by a disc chipper before fibre separation. To make the wood chipping process more efficient, one have to investigate in detail the coupling between theprocess parameters and the quality of the chips.
openaire   +1 more source

Integrating machine learning, deep learning, and image analysis for seed species classification

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Premise The growing demand for wildflower seeds in ecological restoration requires reliable species identification, yet current market products often contain heterogeneous species. As seed identification is labor‐intensive and requires advanced botanical knowledge, we evaluated multiple segmentation and classification approaches to determine ...
Jonathan Ashworth   +6 more
wiley   +1 more source

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