Results 61 to 70 of about 63,095 (231)

Advanced Investigation of the Elimination of Methylene Blue From Wastewater Using Activated Carbon–Copper Oxide Nanowires: New Perspectives With Statistical Physical Modeling

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT In this study, the actual route of methylene blue (MB) dye adsorption by using fabricated polyfunctional activated carbon–copper oxide nanowires (AC@CuO‐NWs) from bulky wastewater bodies has been investigated. To better understand the exact pathway of the adsorption process, a prominent statistical physics formalism or grand canonical ...
Abdellatif Sakly, Nizar Lefi, Mohamed Bouzid, Salah Knani, Md. Mahmudur Rahman, Besma Graba, Sivarama Krishna Lakkaboyana, Abdelmottaleb Ben Lamine   +7 more
wiley   +1 more source

Confidence-aware Levenberg-Marquardt optimization for joint motion estimation and super-resolution

, 2016
Motion estimation across low-resolution frames and the reconstruction of high-resolution images are two coupled subproblems of multi-frame super-resolution.
Bercea, Cosmin, Köhler, Thomas, Maier, Andreas   +2 more
core   +1 more source

Levenberg-Marquardt method with singular scaling and applications

Applied Mathematics and Computation
Inspired by certain regularization techniques for linear inverse problems, in this work we investigate the convergence properties of the Levenberg-Marquardt method using singular scaling matrices. Under a completeness condition, we show that the method is well-defined and establish its local quadratic convergence under an error bound assumption.
Everton Boos, Douglas Soares Gonçalves, Fermín S. V. Bazán   +2 more
openaire   +3 more sources

Box–Behnken optimization and ANN‐ANFIS integrated modelling for transesterification using thermally activated basic oxygen furnace slag catalyst

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Global energy demand and environmental concerns have intensified the search for renewable and sustainable energy sources. This study thus, focuses on optimizing the transesterification process of waste cooking oil (WCO) using thermally activated basic oxygen furnace slag catalyst calcined at 850°C (BOF 850). The optimization and modelling were
Johra S. Ali, Hillary L. Rutto
wiley   +1 more source

Comparative performance of some popular ANN algorithms on benchmark and function approximation problems

, 2009
We report an inter-comparison of some popular algorithms within the artificial neural network domain (viz., Local search algorithms, global search algorithms, higher order algorithms and the hybrid algorithms) by applying them to the standard ...
A. Bora, A. Bora, A. K. Tickoo, A. S. Miller, B. P. Dubey, C. L. Giles, C. Lanczos, C. T. Lin, D. Barry, D. E. Rumelhart, E. W. M. Lee, G. A. Carpenter, H. P. Singh, H. P. Singh, J. C. Jia, J. Hertz, J. Lee, L. Breiman, L. Breiman, L. Canal, M. Abramowitz, M. Bazarghan, M. Caudill, M. F. Moller, N. Metropolis, R. A. Fisher, R. Gupta, R. K. Bock, R. Koul, R. Sinkus, R. Tagliaferri, S. Chen, S. Kirkpatrick, T. Denoeux, T. Hastie, V. K. Dhar, V. K. Dhar, W. Bryc, X. Wang   +38 more
core   +1 more source

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

Energy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source

Do optimization methods in deep learning applications matter? [PDF]

, 2020
With advances in deep learning, exponential data growth and increasing model complexity, developing efficient optimization methods are attracting much research attention.
Kiran, Mariam, Ozyildirim, Buse Melis
core   +1 more source

The Illusion of Structural Order: Evaluating the Suppression of Amorphous Carbon Black Pigment Bands in SSE‐Processed Handheld Raman Spectra

Journal of Raman Spectroscopy, EarlyView.
The handheld Raman with SSE system efficiently mitigates fluorescence; however, it may also bias the Raman response towards graphitic domains in carbon‐based black pigments, thereby concealing amorphous carbon contributions that are critical for pigment type identification.
Zeynep Alp, Christoph Herm
wiley   +1 more source

Thin‐layer drying kinetics and mathematical modelling of osmotically pretreated vacuum dried green chilli

JSFA reports, EarlyView.
Abstract Background Chilli is highly perishable, often requiring drying to extend shelf life. This study assesses and compares the drying kinetics of osmotically pretreated green chilli under vacuum drying conditions while evaluating suitable mathematical models and calculating effective moisture diffusivity and activation energy. Results Sliced chilli
Md. Raihanul Haque, Md. Iftekhar Kabir, Md. Nahidul Islam, Md. Mojaffor Hosain, Md. Sazzat Hossain Sarker   +4 more
wiley   +1 more source