185 skills found · Page 4 of 7
FrankBian / Tomcat8.0 Source Researchthis is a repository that I study the source code of tomcat8.0 with Intellij IDEA
JackChuengQAQ / SubgraphMatchingSurveyThe source code of "A Comprehensive Survey and Experimental Study of Subgraph Matching: Trends, Unbiasedness, and Interaction"
HsuanChih-Wang / SUMO SpeedAdviosry On TSPSUMO Simulation source code of the study - A Study of Applying Eco-Driving Speed Advisory on Transit Signal Priority
sonaliphp / SchoolsoftwareIt is best school management software also known as school erp available for all type of schools. It is available with 100% source code in PHP and MySql. It have features as listed below: 1. Responsive Design. 2. White Label 3. Admin, Student, Staff and Parent Panels (4 types) 4. School setup 5. School details, logo, website, header etc 6. Add single student 7. Add bulk students - Multiple students in one click 8. Student Information tab 9. Add teacher 10. Add parents and link with student 11. Add class 12. Add Sections for each class 13. Add subjects 14. Add class routine - class time table 15. Attendance system 16. Add exams 17. Grade system 18. Manage marks 19. Report Card - Tabulation report 20. Accounting 21. Student fees invoice 22. Payment status 23. Expense management 24. Library 25. Study Material 26. Transportation 27. Hostel - Dormitory management 28. Notice board, calendar integration 29. Messages 30. SMS settings 31. Multiple language suppo
code-desc / CoDescA large dataset of 4.2m Java source code and parallel data of their description from code search, and code summarization studies.
CGCL-codes / Attack PTMCThe dataset, source code and the results of our ESEC/FSE 2023 paper "An Extensive Study on Adversarial Attack against Pre-trained Models of Code".
haranobuhardo / Gas Detection Using Traditional MLSource code for Enhanced Gas Leak Detection Using Sensor Fusion and Traditional Classification Machine Learning Techniques: A Study with Random Forest and k-Nearest Neighbors
ljz / PythonSourceCode StudyPython源码学习
ydwen / CenterlossSource code and models for the paper of "A Comprehensive Study on Center Loss for Deep Face Recognition" in IJCV
arthurlee / CoreHtml5CanvasThe source code and comments of studying the book "Core Html5 Canvas"
AI4HealthUOL / ECG AgingSource code repository for the study: "Uncovering ECG Changes during Healthy Aging using Explainable AI"
yuan-xin-9997 / Mpba Ya IttSource code of The Integrated Inter-Terminal Truck Routing Problem with Multi-Port Berth Allocation and Yard Assignments: A Heuristic Approach and Case Study
linncy / Icsme2020 Docker StudyArtifact repository for the paper "A Large-scale Data Set and an Empirical Study of Docker Images Hosted on Docker Hub." This reproducible repository includes the data set and its description, source code of the implemented miners, and all analysis scripts and results in the paper.
Apress / Applied Analytics Case Studies Sas RSource Code for 'Applied Analytics through Case Studies Using SAS and R' by Deepti Gupta
zhongxingyu / Java Annotation StudySource code and data about our large scale study about Java annotaion in practice
IIIIQIIII / GaussiansplattingnoteStudying Gaussian Splatting Source Code
mojtabaSefidi / Fall Detection SystemOfficial Source code for "Comparative Study on Performance of ML Models for Fall Detection in Older People" paper.
aliasgharheidaricom / RUN Beyond The Metaphor An Efficient Optimization Algorithm Based On Runge Kutta MethodThe optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers. Most of these cliché methods mimic animals' searching trends and possess a small contribution to the optimization process itself. Most of these cliché methods suffer from the locally efficient performance, biased verification methods on easy problems, and high similarity between their components' interactions. This study attempts to go beyond the traps of metaphors and introduce a novel metaphor-free population-based optimization based on the mathematical foundations and ideas of the Runge Kutta (RK) method widely well-known in mathematics. The proposed RUNge Kutta optimizer (RUN) was developed to deal with various types of optimization problems in the future. The RUN utilizes the logic of slope variations computed by the RK method as a promising and logical searching mechanism for global optimization. This search mechanism benefits from two active exploration and exploitation phases for exploring the promising regions in the feature space and constructive movement toward the global best solution. Furthermore, an enhanced solution quality (ESQ) mechanism is employed to avoid the local optimal solutions and increase convergence speed. The RUN algorithm's efficiency was evaluated by comparing with other metaheuristic algorithms in 50 mathematical test functions and four real-world engineering problems. The RUN provided very promising and competitive results, showing superior exploration and exploitation tendencies, fast convergence rate, and local optima avoidance. In optimizing the constrained engineering problems, the metaphor-free RUN demonstrated its suitable performance as well. The authors invite the community for extensive evaluations of this deep-rooted optimizer as a promising tool for real-world optimization. The source codes, supplementary materials, and guidance for the developed method will be publicly available at different hubs at http://aliasgharheidari.com/RUN.html.
s2e-lab / Code Smell Code GenerationSource code for "An Empirical Study of Code Smells in Transformer-based Code Generation Techniques".
jjvalletta / ML Animal BehaviourSource code for "Applications of Machine Learning in Animal Behaviour Studies" paper
