Search Results - (( based learning about algorithm ) OR ( java implication based algorithm ))
Search alternatives:
- implication based »
- java implication »
- about algorithm »
- learning about »
-
1
Fractional Stochastic Gradient Descent Based Learning Algorithm For Multi-layer Perceptron Neural Networks
Published 2021“…Conventionally back-propagation learning algorithm also termed as (BP-MLP) is used. …”
Get full text
Get full text
Conference or Workshop Item -
2
Designing algorithm visualization on mobile platform: The proposed guidelines
Published 2017“…This paper entails an ongoing study about the design guidelines of algorithm visualization (AV) on mobile platform, helping students learning data structures and algorithm (DSA) subject effectively.Our previous review indicated that design guidelines of AV on mobile platform are still few.Mostly, previous guidelines of AV are developed for AV on desktop and website platform. …”
Get full text
Get full text
Article -
3
Overhead view based person counting using deep learning
Published 2022“…However, the counting accuracy of Centroid Tracking algorithm is about 22.2% lower than the DeepSORT tracking algorithm. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
4
Design of Modeling Elements of Luoshan Shadow Puppets Creative Goods Based on Deep Learning
Published 2023“…The results show that the F1 value of the algorithm is about 94%, and the efficiency of the algorithm is high. …”
Get full text
Get full text
Get full text
Proceeding -
5
-
6
Behaviour Analysis Among Adolescents And Children For Cyberbullying Based On Twitter And Kaggle Dataset
Published 2023“…Therefore, cyberbullying detection using a Machine Learning approach is suggested. This study presents the comparison of three Machine Learning algorithms for the detection using cyberbullying activity on social media platforms specifically Twitter. …”
Get full text
Get full text
Undergraduates Project Papers -
7
Investigation of An Early Prediction System of Cardiac Arrest Using Machine Learning Techniques
Published 2022“…An effective machine learning approach created from a separate examination of many machine learning algorithms in WEKA should be applied for the correct identification of heart disease. …”
Get full text
Get full text
Undergraduates Project Papers -
8
Algorithm As A Problem Solving Technique For Teaching And Learning Of The Malay Language
Published 2019“…Students are also excited about the algorithmic techniques and the scratch program generated. …”
Get full text
Get full text
Get full text
Article -
9
Algorithm as a problem solving technique for teaching and learning of the Malay language
Published 2019“…Students are also excited about the algorithmic techniques and the scratch program generated. …”
Get full text
Get full text
Get full text
Article -
10
Depression Detection Based on Features of Depressive Behaviour Through Social Media Analytic: A Systematic Literature Review
Published 2024“…The purpose of this study is to answer questions about text-based depression detection based on people who depressive behavior might have shown in their social media postings. …”
Conference Paper -
11
Music Recommender System Using Machine Learning Content-Based Filtering Technique
Published 2022“…These are the popular algorithm for unsupervised learning, a machine learning method to analyse and cluster datasets. …”
Get full text
Get full text
Undergraduates Project Papers -
12
-
13
Applying learning to filter text
Published 2005“…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 -
14
Automated model selection for corporation credit risk assessment using machine learning / Zulkifli Halim
Published 2023“…Through the automated model selection, 176 models are created across the experiment settings. The models are based on the four machine learning algorithms: logistic regression, support vector machine, decision tree, and neural network; two ensemble techniques: adaptive boost and bootstrap aggregation; three deep learning algorithms: recurrent neural network, long short-term memory(LSTM), and gated recurrent unit (GRU). …”
Get full text
Get full text
Thesis -
15
Algorithm as a problem solving technique for teaching and learning of the Malay language
Published 2019“…Students are also excited about the algorithmic techniques and the scratch program generated. …”
Get full text
Get full text
Get full text
Proceeding Paper -
16
SLIDING WINDOW TRAINING ALGORITHMS USING MLP-NETWORK FOR CORRELATED AND LOST PACKET DATA
Published 2012“…This thesis gives a systematic investigation of various MLP learning mainly Sliding Window (SW) learning mode which is treated as the adaptation of offline algorithms into online application Consequently this thesis reviews various offline algorithms including: batch backpropagation, nonlinear conjugate gradient, limited memory and full-memory Broyden, Fletcher, Goldfarb and Shanno algorithms and different forms of the latest proposed bimary ensemble learning. …”
Get full text
Get full text
Thesis -
17
A review on sentiment analysis model Chinese Weibo text
Published 2020“…In feature extraction, the Lexicon-based Model, Machine learning Model and deep learning Model usually was used. …”
Get full text
Get full text
Get full text
Get full text
Proceedings -
18
Multiobjective deep reinforcement learning for recommendation systems
Published 2022“…The results demonstrated that deep reinforcement learning approaches has superiority performance in MO optimization, and its capability of recommending precise item along with achieving high novelty and diversity against the benchmark that using probabilistic based multi-objective approach based on evolutionary algorithm (PMOEA). …”
Get full text
Get full text
Article -
19
Multi-objective deep reinforcement learning for recommendation systems
Published 2022“…The results demonstrated that deep reinforcement learning approaches has superiority performance in MO optimization, and its capability of recommending precise item along with achieving high novelty and diversity against the benchmark that using probabilistic based multi-objective approach based on evolutionary algorithm (PMOEA). …”
Get full text
Get full text
Article -
20
Machine learning modeling for radiofrequency electromagnetic fields (RF-EMF) signals from mmWave 5G signals
Published 2023“…The first model predicts the signal beam RF-EMF, while the second predicts the base station RF-EMF. Each model contains three machine learning techniques to forecast RF-EMF values: Approximate-RBFNN, Exact-RBFNN, and GRNN. …”
Get full text
Get full text
Article