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- research-articleOctober 2024
Taylor series approximations for faster robust topology optimization
Structural and Multidisciplinary Optimization (SPSMO), Volume 67, Issue 10https://doi.org/10.1007/s00158-024-03890-zAbstractA means of reducing the computational cost in robust topology optimization is discussed. Without proper countermeasures, topology optimization can lead to artificially well-performing solutions for certain design problems, with unrealistic hinges ...
- ArticleSeptember 2024
GPU Accelerated Newton for Taylor Series Solutions of Polynomial Homotopies in Multiple Double Precision
AbstractA polynomial homotopy is a family of polynomial systems, typically in one parameter t. Our problem is to compute power series expansions of the coordinates of the solutions in the parameter t, accurately, using multiple double arithmetic. One ...
- research-articleNovember 2024
Performance analysis of a collision channel with abandonments
AbstractWe consider a Markovian retrial queueing system with customer collisions and abandonment in the context of carrier-sense multiple access systems. Using z-transform techniques, we find a set of first-order differential equations for the ...
- research-articleSeptember 2024
Deep learning-based energy prediction in wireless sensor networks
International Journal of Bio-Inspired Computation (IJBIC), Volume 24, Issue 3Pages 176–190https://doi.org/10.1504/ijbic.2024.141691A wireless sensor network (WSN) plays a major role in network protection. In WSN, the data is routed towards the sink node and attack detection is the key process of WSN. In this research, the Taylor Walrus optimisation algorithm (Taylor WaOA) enabled ...
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- research-articleSeptember 2023
A 2-phase prediction of a non-stationary time-series by Taylor series and reinforcement learning
AbstractPrediction of a non-stationary time-series is hard as the frequency components and their amplitudes in the series vary randomly over time. This paper proposes a 2-phase approach for prediction of such non-stationary time-series. The ...
Highlights- The paper proposes an intelligent approach for time-series forecasting by Taylor series.
- research-articleSeptember 2023
Energy Efficient Data Migration Concerning Interoperability Using Optimized Deep Learning in Container-Based Heterogeneous Cloud Computing
Advances in Engineering Software (ADES), Volume 183, Issue Chttps://doi.org/10.1016/j.advengsoft.2023.103496Highlights- Main objective of this research is designing and developing energy efficient data migration that concern with interoperability in container-based ...
Cloud computing generates a proper computing platform and facilitates optimizing with the utilization of infrastructure resources, increases flexibility, and decreases deployment time. Interoperability is one of the major challenges to ...
- research-articleAugust 2023
A parallel computing architecture based on cellular automata for hydraulic analysis of water distribution networks
Journal of Parallel and Distributed Computing (JPDC), Volume 178, Issue CPages 11–28https://doi.org/10.1016/j.jpdc.2023.03.009AbstractWater distribution networks (WDNs) are one of the largest infrastructures in society. Various methods for formulation and hydraulic analysis of water distribution networks, including numerical and non-numerical methods, have been ...
Highlights- Proposed CA architectures to solve a system of non-linear equations on a fine-grain parallel architecture.
- research-articleDecember 2023
A study on predicting students’ grades for ideological and political courses with decision tree generation rules
Journal of Computational Methods in Sciences and Engineering (JOCMSE), Volume 23, Issue 6Pages 3219–3228https://doi.org/10.3233/JCM-226953Predicting students’ course grades is an essential element in teaching. This paper used decision tree generation rules to study the prediction of students’ ideological and political course grades. Firstly, ID3 and C4.5 algorithms were briefly introduced; ...
- research-articleJanuary 2023
Taylor Horse Herd Optimized Deep Fuzzy clustering and Laplace based K-nearest neighbor for web page recommendation
Advances in Engineering Software (ADES), Volume 175, Issue Chttps://doi.org/10.1016/j.advengsoft.2022.103351Highlights- This research work is highly focused on web page recommendation. This research work is highly meaningful, as it effectively recommends the suitable web pages ...
: Web-page recommendation serves a significant part in intelligent web frameworks and discovery of meaningful information from web and sufficient knowledge illustration for efficient web-page ...
- research-articleDecember 2022
Cryptography and Tay-Grey wolf optimization based multimodal biometrics for effective security
Multimedia Tools and Applications (MTAA), Volume 81, Issue 30Pages 44021–44043https://doi.org/10.1007/s11042-022-11993-2AbstractBiometric recognition is very important for automatically recognizing individuals based on feature vectors from behavioral or physiological characteristics. The biometric recognition systems provide suitable personal recognition approaches for ...
- research-articleJuly 2022
Unbiased and consistent rendering using biased estimators
ACM Transactions on Graphics (TOG), Volume 41, Issue 4Article No.: 48, Pages 1–13https://doi.org/10.1145/3528223.3530160We introduce a general framework for transforming biased estimators into unbiased and consistent estimators for the same quantity. We show how several existing unbiased and consistent estimation strategies in rendering are special cases of this framework,...
- research-articleFebruary 2022
Taylor saves for later: Disentanglement for video prediction using Taylor representation
Neurocomputing (NEUROC), Volume 472, Issue CPages 166–174https://doi.org/10.1016/j.neucom.2021.11.021Highlights- A novel principle for feature separation and a new architecture for video prediction.
Video prediction is a challenging task with wide application prospects in meteorology and robot systems. Existing works fail to trade off short-term and long-term prediction performances and extract robust latent dynamics laws in video ...
- research-articleJanuary 2022
Taylor-feedback deer hunting optimisation algorithm for intrusion detection in cloud using deep maxout network
International Journal of Intelligent Information and Database Systems (IJIIDS), Volume 15, Issue 2Pages 199–222https://doi.org/10.1504/ijiids.2022.121939Today, cloud computing is a fast emergent computational model and has become popular among users in IT world. It is the distributed computing paradigm that is continually exposed to various threats and attacks of diverse origins. On the other hand, such ...
- research-articleJanuary 2022
Computing Weakly Singular and Near-Singular Integrals Over Curved Boundary Elements
SIAM Journal on Scientific Computing (SISC), Volume 44, Issue 6Pages A3728–A3753https://doi.org/10.1137/21M1462027We present algorithms for computing weakly singular and near-singular integrals arising when solving the 3D Helmholtz equation with curved boundary elements. These are based on the computation of the preimage of the singularity in the reference element's ...
- research-articleSeptember 2021
Taylor-Based Least Square Estimation in MIMO-OFDM Systems for Multimedia Applications
Wireless Personal Communications: An International Journal (WPCO), Volume 120, Issue 1Pages 609–631https://doi.org/10.1007/s11277-021-08481-5AbstractRecent mobile telecommunication systems are using multiple-input multiple-output system (MIMO) collective with the orthogonal frequency division multiplexing (OFDM), which is well-known as MIMO-OFDM, to offer robustness and higher spectrum ...
- research-articleAugust 2021
Dual adaptive deep convolutional neural network for video forgery detection in 3D lighting environment
The Visual Computer: International Journal of Computer Graphics (VISC), Volume 37, Issue 8Pages 2369–2390https://doi.org/10.1007/s00371-020-01992-5AbstractVideo forgery detection is one of the challenges in this digital era, where the focus is on discovering authenticity. Though there are so many methods available to detect forgeries in the video, there is no method that utilizes illumination-based ...
- research-articleApril 2021
Nonlinear optimal control and synchronization for chaotic electronic circuits
Journal of Computational Electronics (SPJCE), Volume 20, Issue 2Pages 1050–1063https://doi.org/10.1007/s10825-021-01655-1AbstractTo achieve control and synchronization of chaotic electronic circuits, a nonlinear optimal (H-infinity) control method is developed and is tested on Chua’s circuit. Although this electronic circuit is deterministic, for specific values of its ...
- research-articleJanuary 2021
Taylor rate-distortion trade-off and adaptive block search for HEVC encoding
International Journal of Computational Vision and Robotics (IJCVR), Volume 11, Issue 1Pages 90–108https://doi.org/10.1504/ijcvr.2021.111877The advancement in high-efficiency video coding (HEVC) is adapted for defining the subsequent generation compression model to offer efficient compression without affecting the image quality. The HEVC offers improved performance than the existing ...
- research-articleJanuary 2021
Distributed compressed sensing multi-target positioning method based on wavelet transform
International Journal of Communication Networks and Distributed Systems (IJCNDS), Volume 26, Issue 2Pages 198–218https://doi.org/10.1504/ijcnds.2021.113016In the environment of coal mine underground tunnel, it is difficult to establish a unified electromagnetic propagation model because of the factors that multi-path effect and electromagnetic wave propagation loss are numerous and complicated, in addition, ...