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implementing based » implementing bundled (Expand Search)
using algorithm » cosine algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
element » elements (Expand Search)
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Diagnosing failed distribution transformers using neural networks
Published 2001“…The ANN was trained utilizing backpropagation algorithm using a real (out of the field) data obtained from utilities distribution networks transformer's failures. …”
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383
Transmission Line Fault Location Using Unsynchronized Measurements
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doctoralThesis -
384
Plant disease detection using drones in precision agriculture
Published 2023“…Color-infrared (CIR) images are the most preferred data used and field images are the main focus. The machine learning algorithm applied most is convolutional neural network (CNN). …”
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385
LDSVM: Leukemia Cancer Classification Using Machine Learning
Published 2022“…This study proposes a novel method using machine learning algorithms based on microarrays of leukemia GSE9476 cells. …”
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386
Building power consumption datasets: Survey, taxonomy and future directions
Published 2020“…Furthermore, data collection platforms and related modules for data transmission, data storage and privacy concerns used in different datasets are also analyzed and compared. …”
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387
Assigning proctors to exams using scatter search. (c2006)
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masterThesis -
388
Semantics-based approach for detecting flaws, conflicts and redundancies in XACML policies
Published 2015“…All the approach components and algorithms realizing the proposed analysis semantics have been implemented in one development framework. …”
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389
Efficient Seismic Volume Compression using the Lifting Scheme
Published 2000“…As the approximation coefficients represent a smooth low-resolution version of the input data they are only quantized using a uniform scalar quantizer (USQ). …”
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390
Approximate XML structure validation based on document–grammar tree similarity
Published 2015“…Our approach exploits the concept of tree edit distance, introducing a novel edit distance recurrence and dedicated algorithms to effectively compare XML documents and grammar structures, modeled as ordered labeled trees. …”
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391
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392
Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers
Published 2023“…The OSF detection and localization algorithm is implemented based on the dynamic response difference between the physical system and its DT. …”
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393
Cyberbullying Detection in Arabic Text using Deep Learning
Published 2023“…Cyberbullying involves the use of communication technology and data, including messages, photographs, and videos, to undertake aggressive negative actions to harm others. …”
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394
Using Social Network Analysis to Study Business Partnerships
Published 2018“…The resulting weighted undirected network is analysed using community detection algorithms. Characteristics of the top seven communities discovered from the 2015 data are discussed for which common social network motifs are captured. …”
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395
Using machine learning to support students’ academic decisions
Published 2019“…At enrollment, this work predicts a student’s GPA in different majors using enrollment data such as high school average, placement test results, and IELTS score. …”
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396
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397
An EM-Based Forward-Backward Kalman Filter for the Estimation of Time-Variant Channels in OFDM
Published 0000“…The algorithm makes a collective use of the data and channel constraints inherent in the communication problem. …”
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398
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399
Swarm intelligence-based hyper-heuristic for the vehicle routing problem with prioritized customers
Published 2020“…Various studies have been conducted regarding this topic; nevertheless, up to now, few studies used the Cuckoo Search-based hyper-heuristic. This paper modifies a classical mathematical model that represents the VRPC, implements and tests an evolutionary Cuckoo Search-based hyper-heuristic, and then compares the results with those of our proposed modified version of the Clarke Wright (CW) algorithm. …”
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400
Single channel speech denoising by DDPG reinforcement learning agent
Published 2025“…These masks are then applied to the complex STFT matrix of the noisy speech to obtain the denoised speech. For matched testing data, the proposed system offers an improvement of 1.55 points in the perceptual evaluation of speech quality (PESQ) over the unprocessed speech, the highest among the other recent state-of-the-art models used for comparison in this paper. …”