Search Results - (( mobile application colony algorithm ) OR ( some application learning algorithm ))*
Search alternatives:
- application learning »
- application colony »
- learning algorithm »
- some application »
-
1
-
2
Autonomous mobile robots path planning with integrative edge cloud-based ant colony optimization
Published 2025“…In recent years, Automated Mobile Robots (AMRs) have gained significant attention in industry and research applications, requiring efficient path-planning algorithms to optimize task performance. …”
Get full text
Get full text
Get full text
Get full text
Article -
3
Efficient and scalable ant colony optimization based WSN routing protocol for IoT
Published 2020“…For this reason, many intelligent systems have been utilized to design routing algorithms to handle the network's dynamic state. In this paper, an ant colony optimization (ACO) based WSN routing algorithm for IoT has been proposed and analyzed to enhance scalability, to accommodate node mobility and to minimize initialization delay for time critical applications in the context of IoT to find the optimal path of data transmission, improvising efficient IoT communications. …”
Get full text
Get full text
Get full text
Get full text
Article -
4
A review : On intelligent mobile robot path planning techniques
Published 2021Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
5
A noble approach of ACO algorithm for WSN
Published 2018Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
6
Home buyer assistant using artificial bee colony algorithm / Muhammad Izzat Azri Azman
Published 2017“…In the future, the efficiency of the result will be improved based on technology growth with adding some application such as GPS and map of the house in mobile version.…”
Get full text
Get full text
Thesis -
7
Energy-efficient scalable routing protocol based on ACO for WSNS
Published 2019“…To overcome the existing problem of accommodating node mobility, reducing initialization time for ant based routing algorithm and to maintain scalability in WSN for time critical applications, an ACO based WSN routing algorithm has been proposed and analyzed in this paper. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
8
ABC-PSO for vertical handover in heterogeneous wireless networks
Published 2017“…Nevertheless, attributes of mobile devices need algorithms that are quick and effective in order to select best available network near real-time. …”
Get full text
Get full text
Get full text
Get full text
Article -
9
Early detection of dengue disease using extreme learning machine
Published 2018“…The back propagation neural network is one of the popular machine learning technique that capable of learning some complex relationship and had been used in many applications. …”
Get full text
Get full text
Article -
10
-
11
Multi-Backpropagation network
Published 2002“…The learning mechanism for Neural Network is its learning algorithm. …”
Get full text
Get full text
Conference or Workshop Item -
12
A modified generalized RBF model with EM-based learning algorithm for medical applications
Published 2006“…An EM-based training algorithm is also introduced, which uses fewer parameters compared to some classical supervised learning methods. …”
Get full text
Get full text
Get full text
Proceeding Paper -
13
Three-term backpropagation algorithm for classification problem
Published 2006“…Standard Backpropagation Algorithm (BP) is a widely used algorithm in training Neural Network that is proven to be very successful in many diverse application. …”
Get full text
Get full text
Thesis -
14
-
15
Applying learning to filter text
Published 2005“…Text filtering has been a successful application especially in e-mail filtering. The use of probabilistic approaches such as naïve Bayes algorithm is the effective algorithms currently known for learning to filter or classify text document.Naïve Bayes algorithm is one of the algorithms in Machine Learning that manipulates probability estimation or reasoning about the observed data.The growing of bulk e-mail or known as spam e-mail becomes a threat to users’ privacy and network load and in the case of e -mail filtering,naïve Bayes classifier can be trained to automatically detect spam messages.Similar to the e-mail, forum application may be misused by the user to send bad messages and in some extent may offence other readers.Forum filtering may be less important compared to e-mail spam filtering; however there is a possibility of using naïve Bayes to learn the messages and automatically detect bad messages.Most of the forum application found in the web is applying keyword based text filtering which scan the words and change the detected words into certain representation.Instead of defining a set of keywords to filter the forum messages, this paper will explains the experiment in applying a learning to filter text especially in the educational and anonymous forum message, where there is no user registration required to submit messages.…”
Get full text
Get full text
Conference or Workshop Item -
16
-
17
Particle swarm optimization for neural network learning enhancement
Published 2006Get full text
Get full text
Thesis -
18
Machine learning in botda fibre sensor for distributed temperature measurement
Published 2023text::Thesis -
19
Stock indicator scanner customization tool using deep reinforcement learning
Published 2022“…This project will deliver a web application with dynamic stock prediction model based on deep reinforcement learning or more particularly, Deep Q-Network (DQN) algorithm which enable input customization. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
20
Differential evolution for neural networks learning enhancement
Published 2008“…These algorithms can be used successfully in many applications requiring the optimization of a certain multi-dimensional function. …”
Get full text
Get full text
Get full text
Thesis