Search alternatives:
sampling algorithm » scheduling algorithm (Expand Search)
could algorithm » mould algorithm (Expand Search), carlo algorithm (Expand Search), colony algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
sampling algorithm » scheduling algorithm (Expand Search)
could algorithm » mould algorithm (Expand Search), carlo algorithm (Expand Search), colony algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
-
301
Hybrid Deep Learning-based Models for Crop Yield Prediction
Published 2022“…In this study, we developed deep learning-based models to evaluate how the underlying algorithms perform with respect to different performance criteria. …”
-
302
Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System
Published 2021“…We research and test the design of the right neural networks that achieves our goal. A modern algorithm was improvised for this reason. For our proposed recommendation system, a database program was created to store data and include details in the analysis of course learning outcomes. …”
Get full text
Get full text
-
303
Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE
Published 2020“…The data analytics maturity model is used as the conceptual model for evaluating both data analytics and data governance in this research. …”
Get full text
-
304
-
305
Building power consumption datasets: Survey, taxonomy and future directions
Published 2020“…Accordingly, a novel visualization strategy based on using power consumption micro-moments has been presented along with an example of deploying machine learning algorithms to classify the micro-moment classes and identify anomalous power usage.…”
-
306
From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors
Published 2021“…Unfortunately, low-cost PM sensors also come with a number of challenges that must be addressed if their data products are to be used for anything more than a qualitative characterization of air quality. …”
-
307
Using machine learning for disease detection. (c2013)
Published 2016Get full text
Get full text
masterThesis -
308
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 -
309
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. …”
-
310
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 -
311
Energy-aware adaptive compression for mobile devices. (c2009)
Published 2009Get full text
Get full text
masterThesis -
312
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. …”
-
313
-
314
Assessing Factors Influencing Customers’ Adoption of AI-Based Voice Assistants
Published 2024“…It also provides implications for tech-managers and algorithm designers to build effective voice technology for superior user experience.…”
-
315
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. …”
Get full text
Get full text
article -
316
Transmission Line Fault Location Using Unsynchronized Measurements
Published 2013Get full text
doctoralThesis -
317
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). …”
-
318
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. …”
-
319
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 -
320