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Neural Networks as Tools in Construction

Osama Moselhi, Tarek Hegazy, Paul Fazio • Journal of Construction Engineering and Management (1991)

The competitive and risk‐averse nature of the construction industry and its heuristic problem‐solving needs, among other reasons, have contributed to the development of nontraditional decision‐making tools. Research in artificial intelligen...

OPENALEX DOI: https://doi.org/10.1061/(asce)0733-9364(1991)117:4(606)

Understanding of a convolutional neural network

Saad Albawi, Tareq Abed Mohammed, Saad Al-Azawi (2017)

The term Deep Learning or Deep Neural Network refers to Artificial Neural Networks (ANN) with multi layers. Over the last few decades, it has been considered to be one of the most powerful tools, and has become very popular in the literatur...

OPENALEX DOI: https://doi.org/10.1109/icengtechnol.2017.8308186

Tensorizing Neural Networks

Alexander Novikov, Dmitry Podoprikhin, Anton Osokin, Dmitry Vetrov • arXiv (Cornell University) (2015)

Deep neural networks currently demonstrate state-of-the-art performance in several domains. At the same time, models of this class are very demanding in terms of computational resources. In particular, a large amount of memory is required b...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1509.06569

Neural Networks in Civil Engineering: 1989–2000

Hojjat Adeli • Computer-Aided Civil and Infrastructure Engineering (2001)

The first journal article on neural network application in civil/structural engineering was published by in this journal in 1989. This article reviews neural network articles published in archival research journals since then. The emphasis ...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1111/0885-9507.00219

Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations

Itay Hubara, Matthieu Courbariaux, Daniel Soudry, Ran El‐Yaniv et al. • arXiv (Cornell University) (2016)

We introduce a method to train Quantized Neural Networks (QNNs) --- neural networks with extremely low precision (e.g., 1-bit) weights and activations, at run-time. At train-time the quantized weights and activations are used for computing ...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1609.07061

Challenges in automotive software engineering

Manfred Broy • ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) (2006)

The amount of software in cars grows exponentially. Driving forces of this development are cheaper and more powerful hardware and the demand for innovations by new functions. The rapid increase of software and software based functionality b...

OPENALEX DOI: https://doi.org/10.1145/1134285.1134292

Numerical computation of Brownian motion and thermophoresis effects on rotational micropolar nanomaterials with activation energy

Hassan Waqas, Shan Ali Khan, Bagh Ali, Dong Liu et al. • Propulsion and Power Research (2023)

The current article investigates the numerical study of the micropolar nanofluid flow through a 3D rotating surface. This communication may manipulate for the aim such as the delivery of the drug, cooling of electronic chips, nanoscience an...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jppr.2023.05.005

Advances and perspectives for receiver function imaging of the Earth's internal discontinuities and velocity structures

Ling Chen, Xu Wang, Xin Wang, Zigen Wei et al. • 地球与行星物理论评 (2022)

Studying the structures, properties and origins of the Earth's internal discontinuities is an important part in the efforts to understand the physical and chemical properties of the layered Earth, as well as to explore the dynamic processes...

DOAJ Open Access (DOAJ) DOI: 10.19975/j.dqyxx.2022-029

A Deep SETI Search for Technosignatures in the TRAPPIST-1 System with FAST

Guang-Yuan Song, Zhen-Zhao Tao, Bo-Lun Huang, Bo Yu et al. • The Astronomical Journal (2026)

The Five-hundred-meter Aperture Spherical Telescope (FAST) is the world’s largest single-dish radio telescope, and the search for extraterrestrial intelligence (SETI) is one of its five key science objectives. We conducted a targeted search...

DOAJ Open Access (DOAJ) DOI: 10.3847/1538-3881/ae8516

Seeding Cores: A Pathway for Nuclear Star Clusters from Bound Star Clusters in the First Billion Years

Fred Angelo Batan Garcia, Massimo Ricotti, Kazuyuki Sugimura • The Open Journal of Astrophysics (2025)

We model the formation of star clusters in a dwarf galaxy progenitor during the first 700 Myr of cosmic history using a cosmological radiation-hydrodynamic simulation with a sub-grid star formation efficiency (SFE) model calibrated from AU-...

DOAJ Open Access (DOAJ) DOI: 10.33232/001c.145064

Energy, Exergy, Exergoeconomic and Exergoenvironmental Impact Analyses and Optimization of Various Geothermal Power Cycle Configurations

Moein Shamoushaki, Mehdi Aliehyaei, Marc A. Rosen • Entropy (2021)

Energy, exergy, and exergoeconomic evaluations of various geothermal configurations are reported. The main operational and economic parameters of the cycles are evaluated and compared. Multi-objective optimization of the cycles is conducted...

DOAJ Open Access (DOAJ) DOI: 10.3390/e23111483

Polarized Multiwavelength Emission from Pulsar Wind—Accretion Disk Interaction in a Transitional Millisecond Pulsar

Maria Cristina Baglio, Francesco Coti Zelati, Alessandro Di Marco, Fabio La Monaca et al. • The Astrophysical Journal Letters (2025)

Transitional millisecond pulsars (tMSPs) bridge the evolutionary gap between accreting neutron stars in low-mass X-ray binaries and millisecond radio pulsars. These systems exhibit a unique subluminous X-ray state characterized by the prese...

DOAJ Open Access (DOAJ) DOI: 10.3847/2041-8213/add7d2

D-brane and exponential potentials inspire warm inflation and swampland conjecture

Shama Sadiq, Nadeem Azhar, N. Myrzakulov, S. Toktarbay et al. • Nuclear Physics B (2025)

This research explores the rapid expansion period of the early universe by applying the Chaplygin gas model, an alternative cosmological framework, to analyze the dynamics of inflationary processes. This study assesses the compatibility of ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nuclphysb.2025.116981

Discrimination of Non-Local Correlations

Alberto Montina, Stefan Wolf • Entropy (2019)

In view of the importance of quantum non-locality in cryptography, quantum computation, and communication complexity, it is crucial to decide whether a given correlation exhibits non-locality or not. As proved by Pitowski, this problem is N...

DOAJ Open Access (DOAJ) DOI: 10.3390/e21020104

Magnetic Reconnection–driven Energization of Protons up to ∼400 keV at the Near-Sun Heliospheric Current Sheet

M. I. Desai, J. F. Drake, T. Phan, Z. Yin et al. • The Astrophysical Journal Letters (2025)

We report observations of direct evidence of energetic protons being accelerated above ∼400 keV within the reconnection exhaust of a heliospheric current sheet (HCS) crossing by NASA’s Parker Solar Probe (PSP) at a distance of ∼16.25 solar ...

DOAJ Open Access (DOAJ) DOI: 10.3847/2041-8213/ada697

Accretion Power in Astrophysics

Juhan Frank, Andrew R. King, Derek Jeffrey Raine • Cambridge University Press eBooks (2002)

Accretion Power in Astrophysics examines accretion as a source of energy in both binary star systems containing compact objects, and in active galactic nuclei. Assuming a basic knowledge of physics, the authors describe the physical process...

OPENALEX DOI: https://doi.org/10.1017/cbo9781139164245

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Y. Tuvaleva, T. Samsonov • InterCarto. InterGIS (2014)

The work is dedicated to description of Russian settlements patterns using spatial statistics. Spatial statistics is a powerful analysis method which reveals the properties of 2D point distributions. The methods differ from each other in is...

DOAJ Open Access (DOAJ)