Search alternatives:
using algorithm » cosine algorithm (Expand Search)
datrd algorithm » deer algorithm (Expand Search), rd algorithm (Expand Search)
a algorithm » _ algorithms (Expand Search), rd algorithm (Expand Search), jaya algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
datrd algorithm » deer algorithm (Expand Search), rd algorithm (Expand Search)
a algorithm » _ algorithms (Expand Search), rd algorithm (Expand Search), jaya algorithm (Expand Search)
-
401
Using machine learning for disease detection. (c2013)
Published 2016Get full text
Get full text
masterThesis -
402
Practical Multiple Node Failure Recovery in Distributed Storage Systems
Published 2016“…The problem is solved using genetic algorithms that search within the feasible solution space. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
403
Cutting‐edge technologies for detecting and controlling fish diseases: Current status, outlook, and challenges
Published 2024“…Here, we highlighted the potential of machine learning algorithms in early pathogen detection and the possibilities of intelligent aquaculture in controlling disease outbreaks at the farm level. …”
-
404
Tracking and repairing damaged healthcare databases using the matrix
Published 2015“…The algorithm is based on data dependency and uses a single matrix. …”
Get full text
Get full text
Get full text
Get full text
article -
405
Energy-aware adaptive compression for mobile devices. (c2009)
Published 2009Get full text
Get full text
masterThesis -
406
Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations
Published 2022“…The best available recommendation algorithms are based on using the observed preference information among collaborating entities. …”
-
407
-
408
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. …”
-
409
LDSVM: Leukemia Cancer Classification Using Machine Learning
Published 2022“…DNA microarrays are also known as biochips that consist of microscopic DNA spots attached to a solid glass surface. Currently, it is difficult to classify cancers using microarray data. …”
-
410
Cyberbullying Detection in Arabic Text using Deep Learning
Published 2023“…In the new era of digital communications, cyberbullying is a significant concern for society. Cyberbullying involves the use of communication technology and data, including messages, photographs, and videos, to undertake aggressive negative actions to harm others. …”
Get full text
-
411
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). …”
Get full text
article -
412
Bridge Structural Health Monitoring Using Mobile Sensor Networks
Published 2022Get full text
doctoralThesis -
413
Assigning proctors to exams using scatter search. (c2006)
Published 2006Get full text
Get full text
masterThesis -
414
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. …”
Get full text
-
415
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. …”
Get full text
-
416
-
417
-
418
-
419
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. …”
-
420