Search Results - (( developing effective commitment algorithm ) OR ( java applications out algorithm ))
Search alternatives:
- effective commitment »
- commitment algorithm »
- java applications »
- applications out »
- out algorithm »
-
1
Real-Time Video Processing Using Native Programming on Android Platform
Published 2012“…However for the Android platform that based on the JAVA language, most of the software algorithm is running on JAVA that consumes more time to be compiled. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
2
-
3
A web-based implementation of k-means algorithms
Published 2022“…The project was planned using the Kanban development methodology, and was built using HTML, CSS, JavaScript, Django, NumPy and pandas. The completed web application is then hosted on Heroku. k-luster allows users to upload their own data set, or choose from one of three samples if they just want to try out the application. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
4
Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…In creating this application, NetBeans IDE 6.5and Java Micro Edition (Java ME) are used. …”
Get full text
Get full text
Thesis -
5
Effect of business social responsibility (BSR) on performance of SMEs in Nigeria
Published 2014“…Therefore, significant positive effects of commitment, trust, and perceived ethics suggest that the variables are important in relation to performance. …”
Get full text
Get full text
Get full text
Thesis -
6
Talkout : Protecting mental health application with a lightweight message encryption
Published 2022“…However, the increased security breaches of recent mental health applications that leaked the patient's profile. This project proposed a virtual mental health mobile application, called TalkOut, with a lightweight message encryption algorithm to protect patient's profile, conversation messages and treatment history. …”
Get full text
Get full text
Get full text
Academic Exercise -
7
Fraud detection in shipping industry based on location using machine learning comparison techniques
Published 2023“…Results from this study indicates the usage of k-NN is proven to be most effective algorithm in terms of performance and accuracy required by the shipping industry fraud detection.…”
text::Thesis -
8
Digitally signed electronic certificate for workshop / Azinuddin Baharum
Published 2017“…Signatory however use a special Digital Signature Application which store the secret private key. The application was programmed by JAVA FX. …”
Get full text
Get full text
Thesis -
9
Biometric identification with limited data set
Published 2019Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
10
Face recognition and identification system (FaceRec) / Khew Jye Huei
Published 2004“…Face recognition is a technique to identify an individual by his/her physical characteristic and has been of interest to a growing number of researchers due to its applications on security. Several different algorithms have been proposed for computer recognition of human faces. …”
Get full text
Get full text
Thesis -
11
Implementation of RIO in UMJaNetSim / Chan Chin We
Published 2004Get full text
Get full text
Thesis -
12
Reducing of Inconsistent Data using Fuzzy Multi Attribute Decision Making for Accessing Data from Database
Published 2013“…The result indicates fuzzy multi attribute decision making is a suitable technique in reducing inconsistent data from database. Algorithm in fuzzy multi attribute decision making is able to find out a correct object.…”
Get full text
Get full text
Article -
13
Examining leadership style and ethical reasoning in Nigeria public sector
Published 2016“…Findings also showed that the relationship between transformational leadership and post conventional cognitive moral development was found to be significantly moderated by religiosity commitment and vertical individualism and collectivism. …”
Get full text
Get full text
Get full text
Thesis -
14
Fair Traffic Scheduling and Shaping Algorithms for Diffserv Networks
Published 2006“…This thesis investigates the effect of different scheduling mechanisms and usage of a different marker algorithms then develop and implement a fair scheduling mechanism and integrate it with a shaper with the usage of a very fair efficient marker at the edge of the DiffServ networks with the usage of simulation and analytical techniques. …”
Get full text
Get full text
Thesis -
15
Solving Unit Commitment Problem Using Multi-agent Evolutionary Programming Incorporating Priority List
Published 2023“…This paper presents an approach to solve the unit commitment problem using a newly developed Multi-agent Evolutionary Programming incorporating Priority List optimisation technique (MAEP-PL). …”
Article -
16
-
17
AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
Get full text
Get full text
Get full text
Article -
18
Optimal economic load dispatch using multiobjective cuckoo search algorithm
Published 2023“…In this paper, Multiobjective Cuckoo Search Algorithm (MOCSA) is developed to solve Economic Load Dispatch (ELD) problem. …”
Article -
19
Unit commitment in power system using multi-agent evolutionary programming incorporating priority listing optimisation technique / Muhammad Nazree Che Othman
Published 2013“…From the result obtained and the comparative study conducted, it is proved that the proposed MAEP-PL optimisation technique has able to solve the unit commitment problem where, the total daily generation cost is effectively minimised and the computation time is reduced as compared to other techniques.…”
Get full text
Get full text
Thesis -
20
AI powered asthma prediction towards treatment formulation : An android app approach
Published 2022“…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
Get full text
Get full text
Get full text
Article
