Search alternatives:
processing algorithm » processing algorithms (Expand Search)
learning algorithm » learning algorithms (Expand Search)
method algorithm » mould algorithm (Expand Search)
a learning » _ learning (Expand Search)
element » elements (Expand Search)
processing algorithm » processing algorithms (Expand Search)
learning algorithm » learning algorithms (Expand Search)
method algorithm » mould algorithm (Expand Search)
a learning » _ learning (Expand Search)
element » elements (Expand Search)
-
221
Sentiment visualization of correlation of loneliness mapped through social intelligence analysis
Published 2024“…Social media platforms have become a valuable source of data to study this phenomenon.…”
-
222
Spider monkey optimizations: application review and results
Published 2024“…Optimization algorithms are applied to find efficient solutions in different problems in several fields such as the routing in wireless networks, cloud computing, big data, image processing and scheduling, and so forth. …”
Get full text
-
223
A learning approach for prioritized handoff channel allocation in mobile multimedia networks
Published 2006“…In this paper we study the application of a reinforcement-learning algorithm to develop an alternative channel allocation scheme in mobile cellular networks that supports multiple heterogeneous traffic classes. …”
Get full text
article -
224
Competitive learning/reflected residual vector quantization for coding angiogram images
Published 2003“…By employing competitive learning neural network in the codebook design process, we tried to obtain a stable and convergent algorithm. …”
Get full text
Get full text
article -
225
A novel few shot learning derived architecture for long-term HbA1c prediction
Published 2024“…For the first time in the literature, this work proposes a novel FSL-derived algorithm for the long-term prediction of clinical HbA1c measures. …”
-
226
A Hybrid Transfer Learning Approach to Teeth Diagnosis Using Orthopantomogram Radiographs
Published 2024“…To showcase the performance of such algorithms, we propose two approaches for the task of teeth diagnosis utilizing Orthopantomograms (panoramic radiographs): 1) a direct classification approach; and 2) a hybrid approach that combines a deep learning model with a traditional classifier. …”
Get full text
article -
227
A Novel Deep Learning Technique for Detecting Emotional Impact in Online Education
Published 2022“…This paper proposes a new deep learning method to detect student emotions. …”
Get full text
-
228
-
229
The use of multi-task learning in cybersecurity applications: a systematic literature review
Published 2024“…Most of the studies used supervised learning algorithms, and there were very limited studies that focused on other types of machine learning. …”
-
230
Developing a UAE-Based Disputes Prediction Model using Machine Learning
Published 2022Get full text
doctoralThesis -
231
Intelligent Rapidly-Exploring Random Tree Star Algorithm
Published 2024Get full text
doctoralThesis -
232
Learn while Tracking
Published 2007Get full text
Get full text
Get full text
Get full text
conferenceObject -
233
Habitat in flames: How climate change will affect fire risk across koala forests
Published 2023“…</p><p><br></p><h3>Method:</h3><p dir="ltr">The Decision Tree machine learning algorithm was applied to generate a fire susceptibility index (a measure of the potential for a given area or region to experience wildfires) using a dataset of conditioning factors, namely: altitude, aspect, rainfall, distance from rivers, distance from roads, forest type, geology, koala presence and future dietary sources, land use-land cover (LULC), normalized difference vegetation index (NDVI), slope, soil, temperature, and wind speed.…”
-
234
Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
Published 2019“…This basically follows either a feature-level or decision-level strategy. In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …”
Get full text
Get full text
-
235
Recent Advances of Chimp Optimization Algorithm: Variants and Applications
Published 2023“…Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm intelligence methods. …”
Get full text
-
236
-
237
Data redundancy management for leaf-edges in connected environments
Published 2022“…Major advances in the fields of Internet and Communication Technology (ICT), data modeling/processing, and sensing technology have rendered traditional environments (e.g., cities, buildings) more connected. …”
Get full text
Get full text
Get full text
Get full text
article -
238
Metaheuristic Optimization Algorithms for Training Artificial Neural Networks
Published 2012“…Training neural networks is a complex task that is important for supervised learning. …”
Get full text
Get full text
article -
239
A hybrid graph representation for recursive backtracking algorithms
Published 2017“…The performance of these algorithms often suffers from the increasing number of graph modifications, such as deletions, that reduce the problem instance and have to be “taken back” frequently during the search process. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
240
Adaptive temperature control of a reverse flow process by using reinforcement learning approach
Published 2024“…Additionally, a second algorithm is presented to enhance the implementability of the reinforcement learning algorithm from a practical perspective. …”