Results 161 to 170 of about 384,953 (220)

Using Pole–Pole Measurements to Calculate Arbitrary 4‐Point Configurations—An Approach to Make Electrical Resistivity Tomography More Flexible and Time‐Efficient

Archaeological Prospection, EarlyView.
ABSTRACT Electrical resistivity tomography (ERT) is nowadays widely used in archaeological prospection. This study deals with an approach to make ERT more time‐efficient and flexible. It is based on calculating arbitrary 4‐point configurations by superposition of multiple pole–pole measurements.
Simon Levin Fischer, Ercan Erkul, Michael Gräber, Wolfgang Rabbel   +3 more
wiley   +1 more source

“Am I being responsible?”: Navigating coming‐of‐age transitions through personal financial information management

Journal of the Association for Information Science and Technology, EarlyView.
Abstract This research explored how young adults (ages 18–25) learn to use financial records and the roles financial records play in their experiences in coming to see themselves as financially mature social actors. The contribution of this paper is a revised model of transitions theory that includes personal information management (PIM) as an ...
Robert Douglas Ferguson, Rebekah (Becky) Willson, Karyn Moffatt   +2 more
wiley   +1 more source

Optimizing brain tumor detection in MRI scans through InceptionResNetV2 and deep stacked Autoencoders with SwiGLU activation and sparsity regularization. [PDF]

MethodsX
Awasthi V, Tiwari M, Yadav A, Thakur G, Panda MM, Kumar H, Tripathi S.   +6 more
europepmc   +1 more source

Redshift‐Agnostic Machine Learning Classification: Unveiling Peak Performance in Galaxy, Star, and Quasar Classification (Using SDSS DR17)

Astronomische Nachrichten, EarlyView.
ABSTRACT Classification of galaxies, stars, and quasars using spectral data is fundamental to astronomy, but often relies heavily on redshift. This study evaluates the performance of 10 machine learning algorithms on SDSS data to classify these objects, with a particular focus on scenarios where redshift information is unavailable.
Debashis Chatterjee, Prithwish Ghosh
wiley   +1 more source

Selective Detection of Fungal and Bacterial Glycans with Galactofuranose (Galf) Residues by Surface-Enhanced Raman Scattering and Machine Learning Methods. [PDF]

Int J Mol Sci
Zvyagina JY, Safiullin RR, Boginskaya IA, Slipchenko EA, Afanas'ev KN, Sedova MV, Krylov VB, Yashunsky DV, Argunov DA, Nifantiev NE, Ryzhikov IA, Merzlikin AM, Lagarkov AN.   +12 more
europepmc   +1 more source

Compressibility Function and Speed of Sound in the Non‐Commutative Quantum Hadrodynamics Type‐I Model for Neutron Stars

Astronomische Nachrichten, EarlyView.
ABSTRACT We investigate the effects of a minimal measurable length on neutron stars, within the quantum hadrodynamics (QHD‐I) model modified by the Generalized Uncertainty Principle (GUP). Working in a deformed Poisson algebra framework, we incorporate GUP effects via a time‐invariant transformation of the phase space volume, effectively reducing the ...
João Gabriel Galli Gimenez, Dimiter Hadjimichef, César A. Zen Vasconcellos   +2 more
wiley   +1 more source

Heterogeneous quantization regularizes spiking neural network activity. [PDF]

Sci Rep
Moyal R, Mama KR, Einhorn M, Borthakur A, Cleland TA.   +4 more
europepmc   +1 more source

Effective Autism Classification Through Grasping Kinematics

Autism Research, EarlyView.
ABSTRACT Autism is a complex neurodevelopmental condition, where motor abnormalities play a central role alongside social and communication difficulties. These motor symptoms often manifest in early childhood, making them critical targets for early diagnosis and intervention.
Erez Freud, Zoha Ahmad, Eitan Shelef, Bat Sheva Hadad   +3 more
wiley   +1 more source

Synaptic plasticity-based regularizer for artificial neural networks. [PDF]

Sci Rep
Yousef Q, Li P.
europepmc   +1 more source

Analysis of Ruddlesden‐Popper and Dion‐Jacobson 2D Lead Halide Perovskites Through Integrated Experimental and Computational Analysis

Battery Energy, Volume 4, Issue 2, March 2025.
Optimized ML framework for predicting RP and Dj phases in perovskite solar cells. ABSTRACT Two‐dimensional (2D) lead halide perovskites (LHPs) have captured a range of interest for the advancement of state‐of‐the‐art optoelectronic devices, highly efficient solar cells, next‐generation energy harvesting technologies owing to their hydrophobic nature ...
Basir Akbar, Kil To Chong, Hilal Tayara
wiley   +1 more source