Search Results - (( developing block practice algorithm ) OR ( java implication tree algorithm ))
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1
A study on the VLSI partitions: the implementation of Fiduccia-Mattheyses algorithm / Burhanuddin Omar
Published 1997“…To deal with cells of various size , the algorithm progresses by moving one cell at a time between the blocks of the partition while maintaining a desired based on the size of the blocks rather than the number of cells per block. …”
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2
A Practical Method for Camera Calibration in Stereo Vision Mobile Robot Navigation
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3
Optimization of Motion Compensated Block-Based DCT Video Compression for Software Implementation
Published 2000“…This thesis focuses on ways to improve the existing solutions in the algorithmic and implementation aspects. For the algorithmic aspect, the basic principles of motion compensated DCT block-based compression scheme was studied. …”
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4
Parallel Block Methods for Solving Ordinary Differential Equations
Published 2004“…The new codes are based on the implicit multistep block methods formulae. Subsequently, a more structured and efficient algorithm comprising the block methods was constructed for solving systems of first order ODEs using variable step size and order. …”
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5
Nlfxlms and thf-nlfxlms algorithms for wiener-hammerstein nonlinear active noise control
Published 2016“…In this work, the modelling of acoustic path using FIR filters is incorporated for both algorithms for Wiener-Hammerstein structure. The development of these algorithms becomes the first and second objectives of this research. …”
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6
A review of navigation systems (integration and algorithms)
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7
Development of an integrated scheduling model for handling equipment in automated port container terminals
Published 2014“…As the integrated scheduling of handling equipment is a “non-deterministic polynomialtime hard” (NP-hard) problem and also the computation time and ease of application are so important for real practices of the scheduling methods, So a meta-heuristic algorithm based on Genetic Algorithm is developed, in which, new operators create solutions considering the constraints of the problem and also a heuristic rule proposed which assigns the ALVs to the tasks. …”
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8
Additive and multiplicative noise removal based on adaptive wavelet transformation using cycle spinning
Published 2014“…Wavelet denoising attempts to remove these types of noise present in the signal while preserving the signal characteristics, regardless of its frequency content. A newly developed method based on the wavelet transform (semi-soft thresholding) appears promising, though there is little practical guidance on its use. …”
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9
Healthcare-Chain: Blockchain-Enabled Decentralized Trustworthy System in Healthcare Management Industry 4.0 with Cyber Safeguard
Published 2023“…This scheme revealed the optimal performance in terms of mining health data size, average response time, transaction latency, and throughput for secured block transactions in blockchain networks.…”
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10
Design Rule Check To Validate Option Metal And Via For A Preprogrammed Layout Design
Published 2014“…Thus, this project will enable the verification of the option layer by developing an algorithm which able to cover the check for both option and real metal/via layer. …”
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11
A Hybrid Chaotic Image Encryption Scheme Bas~d on S-Box and Ciphertext Feedback
Published 2007“…Due to some intrinsic features of images, such as bulk data capacity and high correlation among pixels, traditional encryption algorithms such as IDEA, DES and AES are not suitable for practical image encryption, especially for real time applications. …”
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12
An active lower-extremity exoskeleton for synchronous mobility assistance in lifting and carrying manual handling task / Sado Fatai
Published 2019“…However, several stumbling blocks pertaining to design and control technologies currently limit a practical adoption. …”
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13
An enhanced synthetic oversampling framework with self-supervised contrastive learning for multi-class image imbalance
Published 2025“…The second contribution is the introduction of the Clustering and Nearest Centroid Neighbour-based Synthetic Minority Oversampling (CLNCN-SMOTE) algorithm to resolve multi-class imbalance. The algorithm is an enhancement of traditional K-means SMOTE that incorporates a nearest centroid neighbour strategy. …”
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