Results 191 to 200 of about 17,065,182 (226)

LSML-SF: a lightweight stacked ML approach for spreading factor allocation in mobile IoT LoRaWAN networks. [PDF]

Front Artif Intell
Farhad A, Lodhi MA, Nisar F, Hadi HJ, Ahmad N, Ladan M.   +5 more
europepmc   +1 more source

Tree Squirrels Selectively Disperse High‐Quality Acorns Away From Tree Trunks

Integrative Zoology, EarlyView.
Acorn quality and squirrel feeding behavior significantly structured spatial dispersal patterns of two Californian oak species. Non‐infested acorns were preferentially selected for embryo excision and dispersed farther than infested ones. Acorns were fully consumed near tree trunks, signaling rapid feeding in safe refuges, whereas non‐eaten, partially ...
Miguel Puente‐Ruiz, Raquel Muñoz‐Gallego, Marta Peláez, Rodolfo Dirzo, Ramón Perea   +4 more
wiley   +1 more source

Observable Classification Patterns and Diagnostic Uncertainty in Parotid Ultrasound: A Multimethod Secondary Analysis. [PDF]

Diagnostics (Basel)
Pillong L, Walzer O, Peters M, Ohnesorg I, Palm J, Bozzato V, Garner M, Schick B, Bozzato A, Jäger T, Müller A, Pulham S, Voges M.   +12 more
europepmc   +1 more source

A balance between stability and flexibility: Adaptive patterns of self‐regulated learning processes shape game‐based learning

British Journal of Educational Technology, EarlyView.
Abstract To ensure learning efficiency in game‐based learning (GBL), learners must regulate cognitive, affective, metacognitive and motivational (CAMM) processes, collectively known as self‐regulated learning (SRL). SRL is dynamic and non‐linear, characterized by regulatory patterns and CAMM interactions that lead to macro‐level SRL behaviours. In this
Elizabeth B. Cloude, Stefan E. Huber, Jingwei Wei, Bianca Esmanhoto, Muhterem Dindar, Manuel Ninaus, Kristian Kiili   +6 more
wiley   +1 more source

Measurement and Modeling of Sustainable Food Choice and Purchasing Behavior: A Systematic Review of Methods and Models. [PDF]

Foods
Andrade TN, Bolini HMA.
europepmc   +1 more source

An extension of the basic local independence model to multiple observed classifications

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The basic local independence model (BLIM) is appropriate in situations where populations do not differ in the probabilities of the knowledge states and the probabilities of careless errors and lucky guesses of the items. In some situations, this is not the case. This work introduces the multiple observed classification local independence model
Pasquale Anselmi, Debora de Chiusole, Egidio Robusto, Alice Bacherini, Giulia Balboni, Andrea Brancaccio, Ottavia M. Epifania, Noemi Mazzoni, Luca Stefanutti   +8 more
wiley   +1 more source

A scalable solution for multi-symptom disease prediction and lifestyle recommendations using machine learning. [PDF]

Sci Rep
Hussain A, Al-Jumaili S, Tahir F, Cheema SM, Malik E, Anwar A, Branco F, Pires IM.   +7 more
europepmc   +1 more source

Residual permutation tests for feature importance in machine learning

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Psychological research has traditionally relied on linear models to test scientific hypotheses. However, the emergence of machine learning (ML) algorithms has opened new opportunities for exploring variable relationships beyond linear constraints.
Po‐Hsien Huang
wiley   +1 more source

Explainable detection: a transformer-based language modeling approach for Bengali news title classification with comparative explainability analysis using ML and DL. [PDF]

Front Artif Intell
Naeen MJ, Das SK, Jisan SA, Khushbu SA, Saha NC, Ohidujjaman.   +5 more
europepmc   +1 more source