Search Results - (( pressure distribution issues algorithm ) OR ( user evaluation means algorithm ))*
Search alternatives:
- distribution issues »
- issues algorithm »
- evaluation means »
- user evaluation »
- means algorithm »
-
1
-
2
A new algorithm on Graphical User Authentication (GUA) based on multi-line grids
Published 2010“…Finally, a comparison of the newly proposed algorithm and previous algorithms will be evaluated in a table.…”
Get full text
Get full text
Get full text
Article -
3
A Hybrid Approach For Web Search Result Clustering Based On Genetic Algorithm With K-means
Published 2024Get full text
journal::journal article -
4
Enhancement of Space-Time Receiver Structure with Multiuser Detection for Wideband CDMA Communication Systems
Published 2006“…The algorithms are used to adjust the weights of the antenna array to form the appropriate beam patterns to track the desired user and null interfering users. …”
Get full text
Get full text
Thesis -
5
Predicting user trajectories using deep learning algorithms / Ahmad Zaki Aiman Abdul Rashid, Azita Laily Yusof and Norsuzila Ya’acob
Published 2025“…Next, the performance of the model will be evaluated using regression metrics such as Mean Squared Error (MSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and the Coefficient of Determination (R2). …”
Get full text
Get full text
Get full text
Article -
6
Segmentation of MRI brain images using statistical approaches
Published 2011“…Noise is one of the obstacles for brain MRI segmentation. The non-Local means (NL-means) algorithm is a state-of-the art neighbourhood-based noisereduction method which is time-consuming and its accuracy can be improved. …”
Get full text
Get full text
Thesis -
7
Midblock signalled pedestrian crossing : alternative controller algorithms
Published 2000“…Four measures of performance are compared and evaluated. These measures are the percentage of vehicles crossing on the red man, pedestrian mean delay, mean cycle times and vehicle mean delay. …”
Get full text
Get full text
Get full text
Article -
8
A packet scheduling scheme for improving real-time applications performance in downlink LTE–advanced
Published 2018“…To validate the performance of M-LWDF for the LTE-A channel, Mean User Throughout, and Fairness performance measures were evaluated for 3 different PSAs designed based on M-LWDF algorithm in this paper. …”
Get full text
Get full text
Get full text
Get full text
Article -
9
A Mobile Application For Stock Price Prediction
Published 2021“…The evaluation methods were Root Mean Square Error and Mean Absolute Error. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
10
MYMealPal: Malaysian healthy meal planner using artificial bee colony approach / Wan Muhamad Amirul Hakimi Wan Mohd Zaki
Published 2017“…Then each of the meal plans will be refined in the exploitation process. ABC algorithm will evaluate every meal calories in the database to find the best meal plan with the optimal calories for user. …”
Get full text
Get full text
Student Project -
11
A study on personalized recommender system using social media
Published 2020“…These machine learning algorithm processes the data set obtained. The evaluation on these algorithm is done to evaluate accuracy of the algorithm. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
12
Residence in Klang Valley recommendation system using collaborative filtering / Nuha Batrisyia Faizal Azrin
Published 2024“…The system's accuracy is assessed through evaluation. The algorithm's recommendation accuracy is evaluated using Mean Absolute Error (MAE) and Root Mean Square Error (RMSE), assuring accurate choices for users. …”
Get full text
Get full text
Thesis -
13
Pharmacy Management System (PhaMSys)/ Norfatin Liyana Yussof
Published 2016Get full text
Get full text
Thesis -
14
An Improved Action Key Frames Extraction Algorithm for Complex Colour Video Shot Summarization
Published 2019“…The threshold adaptation was achieved by using the mean value, the standard deviation, and the L1-norm instead of the comparison of user summaries evaluation method to obtain a fully automatic video summarisation algorithm, and by eliminating the conditions in selecting the final key frames to reduce the complexity of the algorithm. …”
Get full text
Get full text
Article -
15
Stock price monitoring system
Published 2024“…Consequently, Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE) are used to evaluate the performance of the prediction algorithms. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
16
Automated call receiving and forwarding mechanism for supporting integrated disaster management system
Published 2014“…The efficiency of the algorithm is evaluated by comparing the response time of the current procedures with the implementation of the algorithm in the proposed prototype. …”
Get full text
Get full text
Conference or Workshop Item -
17
Book recommendation system / Nur Dalila Afifah Ghazali
Published 2021“…By using the root mean square error to evaluate the algorithm, the result obtained shows that collaborative filtering mean error value is less than the content-based filtering. …”
Get full text
Get full text
Thesis -
18
User to user topic recommendation model for student social interaction
Published 2025“…Hence, it is important to have a recommender system that suggested to solve these issues by recommending mutual topics for supporting social interactions and focusing on user-user relationship. This study focuses on developing a User to User Topic Recommendation Model for Student Social Interaction (TReSIT). …”
Get full text
Get full text
Get full text
Get full text
Thesis -
19
Backhaul load and performance optimality of partial joint processing schemes in LTE-A networks
Published 2014“…All these achieved because the proposed algorithm targets those users located at the cluster borders who more likely cause rank deficiency. …”
Get full text
Get full text
Thesis -
20
Optimization of the hidden layer of a multilayer perceptron with backpropagation (bp) network using hybrid k-means-greedy algorithm (kga) for time series prediction
Published 2012“…The proposed KGA model combines greedy algorithm withk-means++ clustering in this research to assist users in automating the finding of the optimal number of new-ons inside the hidden layer of the BP network. …”
Get full text
Get full text
Thesis
