Results 91 to 100 of about 1,592,171 (301)

Red Spectral Tilt and Observable Gravity Waves in Shifted Hybrid Inflation

, 2011
We consider supersymmetric shifted hybrid inflation models with a red tilted scalar spectral index n_s in agreement with the WMAP 7-yr central value. If non-minimal supergravity corrections are included, these models can also support a tensor-to-scalar ...
Civiletti, Matthew, Rehman, Mansoor Ur, Shafi, Qaisar, Wickman, Joshua R.   +3 more
core   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

A Survey of Traditional and Emerging Deep Learning Techniques for Non-Intrusive Load Monitoring

AI
To cope with the increasing global demand of energy and significant energy wastage caused by the use of different home appliances, smart load monitoring is considered a promising solution to promote proper activation and scheduling of devices and reduce ...
Annysha Huzzat, Ahmed S. Khwaja, Ali A. Alnoman, Bhagawat Adhikari, Alagan Anpalagan, Isaac Woungang   +5 more
doaj   +1 more source

Decompactifications and Massless D-Branes in Hybrid Models

, 2009
A method of determining the mass spectrum of BPS D-branes in any phase limit of a gauged linear sigma model is introduced. A ring associated to monodromy is defined and one considers K-theory to be a module over this ring.
A Caldararu, A Libgober, A Strominger, D Eisenbud, DR Morrison, DS Dummit, E Witten, E Witten, LL Avramov, M. Ronen Plesser, MR Douglas, N Seiberg, N Seiberg, P Candelas, P Candelas, P Candelas, Paul S. Aspinwall, PS Aspinwall, PS Aspinwall, PS Aspinwall, PS Aspinwall, PS Aspinwall, PS Aspinwall, PS Aspinwall, PS Aspinwall, PS Aspinwall, S Kachru, S Kachru, S Sethi, SH Katz, TH Gulliksen   +30 more
core   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

A systematic review of the hybrid machine learning models for brain tumour segmentation and detection in medical images

Frontiers in Artificial Intelligence
Early and accurate detection of brain tumours using Magnetic Resonance Imaging (MRI) is critical for effective treatment and improved patient outcomes. This systematic review investigates the application of hybrid machine learning (ML) and deep learning (
Ndivhuwo Netshamutshedzi, Rendani Netshikweta, Jean-Claude Ndogmo, Ibidun Christiana Obagbuwa   +3 more
doaj   +1 more source

THE SYSTEM OF HYBRID FORECAST MODELS FOR SYTUATIONAL CENTERS OF REGIONAL ADMINISTRATION BODIES AND THEIR APPLICATION IN EDUCATION

Вестник Российского экономического университета имени Г. В. Плеханова, 2017
The efficient system of state strategic management provides a foundation for competitive economy. State governance of the Russian Federation includes a monitoring system, which ensures successful implementation of strategic plans at all levels ...
Olga V. Kitova, Ludmila P. Dyakonova, Victoria M. Savinova   +2 more
doaj   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

Explainable AI for Brain Tumor Classification Using Cross-Gated Multi-Path Attention Fusion and Gate-Consistency Loss

IEEE Access
Accurate and early classification of brain tumors using magnetic resonance imaging (MRI) plays a vital role in guiding timely diagnosis and therapeutic intervention.
Ahmad Muhammad, Qi Jin, Muhammad Hammad Musaddiq, Mohammad Shuaib Mir, Mohannad Alkanan, Yonis Gulzar   +5 more
doaj   +1 more source

Hybrid ARIMA and Support Vector Regression in Short‑term Electricity Price Forecasting

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2017
The literature suggests that, in short‑term electricity‑price forecasting, a combination of ARIMA and support vector regression (SVR) yields performance improvement over separate use of each method.
Jindřich Pokora
doaj   +1 more source