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1
Hydrothermal scheduling using genetic algorithm approach / Norehsan Ali
Published 1998“…The GA developed, aim to obtained the optimized output of the Ps (steam plant) and PH (hydro plant) with minimum cost for the steam plant, since the generation cost for the hydro plant is absolutely free. …”
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2
Neuro-Fuzzy and Particle Swarm Optimization based Model for the Steam and Cooling sections of a Cogeneration and Cooling Plant
Published 2009“…Neuro-fuzzy approach trained by a sequence of optimization algorithms-Particle Swarm Optimization (PSO) followed by Back-Propagation (BP)-is used to develop models for the steam drum pressure, steam drum water level, steam flow rate and chilled water supply temperature. …”
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3
Combining Genetic Algorithm and Artificial Neural Network to optimize biomass steam power plant emission / Ahmad Razlan Yusoff and Ishak Abdul Aziz
Published 2008“…Genetic Algorithm and Artificial Neural Network (GAANN) were used to analyze the real data taken from palm oil mill power plant. …”
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4
Investigation of block matching algorithm for video coding
Published 2013“…These techniques have been used to analyze the video frames quality with different Macroblock size and different sequence of I and P frame and also with different search ranges of block prediction. …”
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5
Image Stitching Of Aerial Footage
Published 2021“…The images are warped to the key frame of the footage to generate a stitched image by using the computed homography. …”
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6
SYSTEMATIC DESIGN ALGORITHM FOR ENERGY EFFICIENT AND COST EFFECTIVE HYDROGEN PRODUCTION FROM PALM WASTE
Published 2012“…In the current study, a systematic autonomous algorithm incorporating reaction kinetics model, flowsheet calculations, heat integration analysis and economic evaluation, has been developed to calculate optimum parameters giving minimum hydrogen production cost using optimization strategies. …”
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7
Optimization of stiffened panel fatigue life by using finite element analysis
Published 2020“…The multi-objective genetic algorithm which selects the design points based on Pareto optimal design combined with the adaptive multi-objective algorithm method which uses an optimal space-filling was shown to be efficient for time limitation and budget. …”
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8
802.11 MAC layer sniffer using spoof detection algorithm / Azwan Abdul Satar
Published 2007“…The wireless sniffer implements sequence number-based spoofing detection algorithm in its processing. The information provided on both security and connectivity problem of wireless network can be generated by sniffing real-time frames capture using wireless adaptor or automation of log analysis on static pcap file. …”
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9
Ulcer detection and classification of wireless capsule endoscopy images using RGB masking
Published 2016“…This algorithm of capsule images can be clinically very useful as it can discriminate between normal and abnormal frame. …”
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10
Ulcer detection and classification of wireless capsule endoscopy images using RGB masking
Published 2016“…This algorithm of capsule images can be clinically very useful as it can discriminate between normal and abnormal frame. …”
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11
Efficient tag grouping RFID anti-collision algorithm for internet of things applications based on improved k-means clustering
Published 2023“…Dynamic Frame Slotted ALOHA (DFSA) is a de facto algorithm in the EPC Global Class-1 Generation-2 protocol for Radio Frequency Identification (RFID) tag collision problem. …”
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12
Development of obstable avoidance system for 3D robot navigation
Published 2024“…Rviz2 was utilized for visualizing coordinate frames. The algorithm was tested in both simulation and on the physical robot. …”
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13
Shunt active power filter with modified synchronous reference frame technique and fuzzy logic current controller for harmonic mitigation
Published 2017“…For efficient compensation, SAPF greatly depends on fast and accurate detection of reference harmonic current. To generate the reference signals, modified synchronous reference frame (MSRF) technique is chosen. …”
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14
REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC
Published 2011“…The practical application of DVC is referred to as Wyner-Ziv video coding (WZ) where an estimate of the original frame called "side information" is generated using motion compensation at the decoder. …”
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15
Damage detection in frame structures using noisy accelerometers and Damage Load Vectors (DLV)
Published 2020“…The DLV method was subsequently employed to locate the damaged members using recorded frame vibration data that were obtained from 'noisy' accelerometers positioned on the frame at eight predefined locations. …”
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16
Damage detection in frame structures using noisy accelerometers and Damage Load Vectors (DLV)
Published 2020“…The DLV method was subsequently employed to locate the damaged members using recorded frame vibration data that were obtained from 'noisy' accelerometers positioned on the frame at eight predefined locations. …”
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17
False path identification algorithm framework for nonseparable controller-data path circuits
Published 2016“…This paper proposes an algorithm frame-work to deal with these false paths through identification for DFT test. …”
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18
Energy-driven scheduling for Digital Video Broadcasting - Satellite Second Generation (DVB-S2)
Published 2013“…Based on energy efficiency of each modulation and coding scheme (MODCOD) available in Digital Video Broadcasting - Satellite Second Generation (DVB-S2), the EEF algorithm improves a scheduling mechanism of a two-step scheduler by selecting frames to be transmitted next according to “energy efficiency” policy developed. …”
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19
Performance comparison of downlink packet scheduling algorithms in LTE network
Published 2014“…Different traffic types are used, and Simulation results show that in video traffic, FLS and EXP algorithms provide a higher system throughput compared to other algorithms while keeping the delay and packet loss ratio small. …”
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20
A Reinforcement Learning Based Adaptive ROI Generation for Video Object Segmentation
Published 2021“…To capture the different aspects of the common feature space, the agent can generate multiple co-attention versions. Our framework is trained using pairs (or groups) of video frames, which adds to the training content, thus increasing the learning capacity. …”
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