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81
A hybrid graph representation for exact graph algorithms
Published 2014“…We investigate practical implementation-based aspects of exact graph algorithms by providing a simple hybrid graph representation that trades space for time to address the said take-back challenge. …”
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conferenceObject -
82
Learning control algorithms for tracking "slowly" varying trajectories
Published 1997“…This is due to the requirement that all learning algorithms assume that a desired output is given a priori over the time duration t /spl isin/ ~0,T\. …”
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83
A genetic algorithm for testable data path synthesis
Published 2017“…The approach is formulated as an allocation problem and solved using an efficient genetic algorithm that generates cost-effective testable designs. …”
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conferenceObject -
84
A neural networks algorithm for data path synthesis
Published 2003“…This paper presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …”
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85
Formal synthesis of VLSI layouts from algorithmic specifications
Published 2020“…In this paper we present a formal approach for high level synthesis. This formal high level syntesis system uses recursive algorithms to model the behaviour to be synthesized. …”
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86
A comparative study of five regression testing algorithms
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conferenceObject -
87
Spectrum Sensing Algorithms for Cooperative Cognitive Radio Networks
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doctoralThesis -
88
Adaptive Chip-Level Channel Estimation for IMT-DS System: DL and UL
Published 2005“…In this paper, chip-level adaptive channel estimation has been explored by using LMS algorithm for wideband CDMA channel estimation. …”
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89
A simplified sliding‐mode control method for multi‐level transformerless DVR
Published 2022“…<p dir="ltr">Here, a finite-control-set sliding-mode control (FCS-SMC) method is proposed for single-phase three-level T-type inverter-based transformerless dynamic voltage restorers (TDVRs). …”
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90
Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers
Published 2023“…<p dir="ltr">This article proposes a digital twin (DT)-based diagnosis and fault-tolerant control for T-type three-level rectifiers. To develop the DT, a dense deep neural network (DNN) machine learning approach is used. …”
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92
A Parallel Neural Networks Algorithm for the Clique Partitioning Problem
Published 2002“…The proposed algorithm has a time complexity of O(1) for a neural network with n vertices and c cliques. …”
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93
Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring
Published 2019“…The cost-adjusted optimized ensemble algorithm can produce 97% and 88% accuracy of classifying abnormal and normal HS, respectively.…”
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94
Burst Round Robin as a Proportional-Share Scheduling Algorithm
Published 2020“…Experiments on the implemented simulator showed that quickly knocking away shortest processes achieves better turnaround time, waiting time, and response time. …”
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95
A Parallel Algorithm for Inverse Halftoning and its Hardware Implementation
Published 2020“…This paper proposes a parallel algorithm for inverse halftoning by parallelizing the LUT method of inverse halftoning. …”
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96
Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
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doctoralThesis -
97
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98
Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach
Published 2006“…The algorithm is tested using 200 randomly generated 2-variable 4-valued functions. …”
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99
Reinforcement R-learning model for time scheduling of on-demand fog placement
Published 2020“…We also demonstrate the ability of our model to improve over time by adapting the new demand of users. Experiments comparing the decisions of our model with two other potential fog placement approaches used for task/service scheduling (threshold based and random based) show that the number of processed requests performed by the cloud decreases from 100 to 30% with a limited number of fogs to push. …”
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100
Decision-level fusion for single-view gait recognition with various carrying and clothing conditions
Published 2017“…Gait samples are fed into the MPCA and MPCALDA algorithms using a novel tensor-based form of the gait images. …”
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