Search alternatives:
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
element finding » filament winding (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
element finding » filament winding (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
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Real-Time Path-Planning using Depth/INS Sensor Fusion for Localization
Published 2019Get full text
doctoralThesis -
24
Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System
Published 2020Get full text
doctoralThesis -
25
Assessment of static pile design methods and non-linear analysis of pile driving
Published 2006“…The pile/soil interaction system is described by a mass/spring/dashpot system where the properties of each component are derived from rigorous analytical solutions or finite element analysis. The outcome of this research is an algorithm that can be used to predict pile displacement and driving stresses. …”
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masterThesis -
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Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks
Published 2023“…A case study has been done in the Peer Panjal region. The data collected for four months with various parameters have been applied randomly as input data using GD and LM type of artificial neural network compared to actual solar energy data. …”
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Automated skills assessment in open surgery: A scoping review
Published 2025“…The assessment input for the automation algorithms were predominantly hand movement. Around 37.5 % (<i>n </i>= 15) of the studies assessed algorithm performance using classification accuracy. …”
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Multidimensional Gains for Stochastic Approximation
Published 2019“…Necessary and sufficient conditions for M≥ N algorithms are presented pertaining to algorithm stability and convergence of the estimate error covariance matrix. …”
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Performance Analysis of Artificial Neural Networks in Forecasting Financial Time Series
Published 2013Get full text
doctoralThesis -
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Efficient Seismic Volume Compression using the Lifting Scheme
Published 2000“…Finally a runlength plus a Huffman encoding are applied for binary coding of the quantized coefficients.…”
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Developing a Cooperative Behavior for Multi Agents System Application to Robot Soccer
Published 2007Get full text
doctoralThesis -
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Multigrid solvers in reconfigurable hardware. (c2006)
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masterThesis -
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Downlink channel estimation for IMT-DS
Published 2001“…To obtain channel estimates during pilot symbols, we propose a chip level adaptive channel estimation which performs better than the conventional method. …”
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Measuring ripple effect for object-oriented programs. (c2004)
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masterThesis -
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A Fully Optical Laser Based System for Damage Detection and Localization in Rail Tracks Using Ultrasonic Rayleigh Waves: A Numerical and Experimental Study
Published 2022“…Finally, a 3D Finite Element simulation was conducted to validate the findings and each observation resulting from the experiments. …”
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Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates
Published 2022“…<h2>Purpose</h2> <p>We present an approach that combines finite element analysis and genetic algorithms to find the optimal configuration of local resonators created in the host structure to suppress their vibration in a target low-frequency range. …”
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Identity and Aggregate Signature-Based Authentication Protocol for IoD Deployment Military Drone
Published 2021“…This risk is specifically eminent in monitoring data transmission traffic, espionage, troop movement, border surveillance, searching, and warfare battlefield phenomenon, etc. …”
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Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model
Published 2024“…The performance level improvements are practically summarized in both the transmission and reception entities with the help of the proposed hybrid network architecture and the associated Dual Deep Network algorithm. …”
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Modelling Exchange Rates during Currency Crisis using Neural Networks
Published 2006“…The models are built using the feedforward ANN structure trained by the backpropagation algorithm. Exchange rate data from the Lebanese currency crisis period of 1985-1992 is used for training, testing and evaluation of the models. …”
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conferenceObject -
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Oversampling techniques for imbalanced data in regression
Published 2024“…For image datasets, we employ Multi-Level Autoencoders, consisting of Convolutional and Fully Connected Autoencoders. …”