Results 81 to 90 of about 397,237 (311)

Detecting Dengue in Flight: Leveraging Machine Learning to Analyze Mosquito Flight Patterns for Infection Detection

Advanced Biology, EarlyView.
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed, Adam J. López‐Denman, Prasad N. Paradkar, Asim Bhatti   +3 more
wiley   +1 more source

Test anxiety, input modality, and levels of organization in free recall [PDF]

, 1977
John H. Mueller
openalex   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source

A modified Cued Recall Test for detecting prodromal AD in adults with Down syndrome. [PDF]

Alzheimers Dement (Amst), 2022
Krinsky-McHale SJ, Hartley S, Hom C, Pulsifer M, Clare ICH, Handen BL, Lott IT, Schupf N, Silverman W, Alzheimer's Biomarker Consortium—Down Syndrome (ABC‐DS) Investigators.   +9 more
europepmc   +1 more source

Serial position effects in immediate and final recall as a function of test anxiety and sex [PDF]

, 1978
Patricia E. Brower, John H. Mueller
openalex   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Neuropsychological markers of mild cognitive impairment: A clinic based study from urban India

Annals of Indian Academy of Neurology, 2015
Background: Mild cognitive impairment (MCI) is a transitional stage between normal aging and dementia. Persons with MCI are at higher risk to develop dementia. Identifying MCI from normal aging has become a priority area of research.
Ravikesh Tripathi, Keshav Kumar, Rakesh Balachandar, P Marimuthu, Mathew Varghese, Srikala Bharath   +5 more
doaj   +1 more source

The effect of aging on context use and reliance on context in speech: A behavioral experiment with Repeat-Recall Test. [PDF]

Front Aging Neurosci, 2022
Sun J, Zhang Z, Sun B, Liu H, Wei C, Liu Y.   +5 more
europepmc   +1 more source

High‐Temperature Oxidation of the CrFeNi Medium‐Entropy Alloy

Advanced Engineering Materials, EarlyView.
The oxidation behavior of equiatomic CrFeNi MEA is a key issue that determines this material's suitability for high‐temperature application. The understanding of long‐term behavior is even more crucial than short‐term corrosion effects. The alloy is exposed to synthetic air at 1000, 1050, and 1100 °C for 24, 100, and 1000 h and systematically compared ...
Anna Maria Manzoni, Wencke Mohring, Mike Schneider, Guillaume Laplanche, Sebastian Peter Hagen, Christiane Stephan‐Scherb   +5 more
wiley   +1 more source

Brazilian version of the European Cross-Cultural Neuropsychological Test Battery (CNTB-BR): diagnostic accuracy across schooling levels

Brazilian Journal of Psychiatry
Objective: To translate, establish the diagnostic accuracy, and standardize the Brazilian Portuguese version of the European Cross-Cultural Neuropsychological Test Battery (CNTB) considering schooling level.
Narahyana B. Araujo, Thomas R. Nielsen, Maria L. Barca, Knut Engedal, Valeska Marinho, Andrea C. Deslandes, Evandro S. Coutinho, Jerson Laks   +7 more
doaj   +1 more source