• Suche: Learning network programming with Java

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81

Network simulation tools and spectral graph theory in teaching computer network.
Jovanović, Nenad ; Zakić, Aleksandar
Computer Applications in Engineering Education. Nov2018, Vol. 26 Issue 6, p2084-2091. 8p. 5 Color Photographs, 1 Diagram, 5 Charts, 1 Graph.

Computer networks Computer programming Spectral theory Graph theory Java programming languag... Programming languages
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82

ClassSum: a deep learning model for class-level code summarization.
Li, Mingchen ; Yu, Huiqun ; Fan, Guisheng ; et al.
Neural Computing & Applications. Feb2023, Vol. 35 Issue 4, p3373-3393. 21p.

DEEP learning NATURAL languages SYNTAX (Grammar)
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83

Graph-based code semantics learning for efficient semantic code clone detection.
Yu, Dongjin ; Yang, Quanxin ; Chen, Xin ; et al.
Information & Software Technology. Apr2023, Vol. 156, pN.PAG-N.PAG. 1p.

COMPUTER programming edu... FLOWGRAPHS SEMANTICS REPRESENTATIONS of graph...
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84

Proceedings of the International Conference on Educational Data Mining (EDM) (4th, Eindhoven, the Netherlands, July 6-8, 2011)
International Educational Data Mining Society ; Pechenizkiy, Mykola ; Calders, Toon ; et al.
390

Academic Achievement Logical Thinking Profiles Tutoring Educational Technology Program Effectiveness …
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85

Car Price Prediction using Machine Learning Techniques.
Gegic, Enis ; Isakovic, Becir ; Keco, Dino ; et al.
TEM Journal. Feb2019, Vol. 8 Issue 1, p113-118. 6p.

Automobile sales & price... Machine learning Programming languages Support vector machines Energy consumption
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86

A novel code representation for detecting Java code clones using high-level and abstract compiled code representations.
Quradaa FH ; Shahzad S ; Saeed R ; et al.
Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Programming Languages Machine Learning Algorithms Semantics Software
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87

Establishing the Suitability of Dynamic Web Applications Development Platforms for Learning web Techniques in Tertiary Institutions.
Dehinbo, Johnson
Proceedings of the International Conference on Information Management & Evaluation. 2011, p492-501. 10p. 2 Charts.

Internet in education Websites HTTP (Computer network p... Internet servers Postsecondary education Servlets
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88

JPVM: network parallel computing in Java.
Ferrari, Adam
Concurrency, Practice & Experience; Sep-Nov1998, Vol. 10 Issue 11-13, p985-992, 8p

PARALLEL computers COMPUTER software COMPUTER systems JAVA programming languag... PROGRAMMING languages COMPUTER programming
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89

Detection of Resource Leaks in Java Programs: Effectiveness Analysis of Traditional Models and Language Models.
Tianyang Liu ; Jiawei Ye ; Weixing Ji ; et al.
International Journal of Software & Informatics; 2025, Vol. 15 Issue 2, p202-232, 28p

JAVA programming languag... LANGUAGE models COMPUTATIONAL complexity DEEP learning DEFECT tracking (Compute... RESOURCE allocation …
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90

(Partial) Program Dependence Learning.
Yadavally, Aashish ; Nguyen, Tien N. ; Wang, Wenbo ; et al.
ICSE: International Conference on Software Engineering; 2023, p2501-2513, 13p

C++ JAVA programming languag... COMPUTER security vulner... MACHINE learning ARTIFICIAL neural networ...
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91

NullnessGraphSeq: Learning-based Java nullness inference
Ragavendran, Koushik ; ISTE, Software Lab - Programmanalysen

Dissertation
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92

MultiGLICE: Combining Graph Neural Networks and Program Slicing for Multiclass Software Vulnerability Detection †.
de Kraker, Wesley ; Vranken, Harald ; Hommersom, Arjen
Computers (2073-431X); Mar2025, Vol. 14 Issue 3, p98, 23p

GRAPH neural networks COMPUTER security vulner... MACHINE learning PROGRAMMING languages
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93

Delivering computer assisted learning across the WWW.
Robinson, David A. ; Lester, Callum R. ; Hamilton, Neil M.
Computer Networks & ISDN Systems. Apr98, Vol. 30 Issue 1-7, p301. 7p. 3 Black and White Photographs.

WORLD Wide Web COMPUTER assisted instru... EDUCATIONAL innovations JAVA programming languag...
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94

Comparison of two methods in determining hearing loss type and hearing loss degree: mobile application coded with artificial neural networks and conditional structures.
Disci, Ahmet Yasin ; Konukseven, Ozlem ; Tanisir Disci, Rukiye
Egyptian Journal of Otolaryngology; 7/4/2025, Vol. 41 Issue 1, p1-16, 16p

TURKEY HEARING disorder diagnos... MOBILE apps AUDIOMETRY DESCRIPTIVE statistics MEDICAL coding …
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95

A powerful comparison of deep learning frameworks for Arabic sentiment analysis.
Zahidi, Youssra ; El Younoussi, Yacine ; Al-Amrani, Yassine
International Journal of Electrical & Computer Engineering (2088-8708); Feb2021, Vol. 11 Issue 1, p745-752, 8p

SENTIMENT analysis JAVA programming languag... NATURAL language process... ARTIFICIAL neural networ... PYTHON programming langu... DEEP learning …
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96

An Empirical Investigation of Dual Network Effects in Innovation Project Development.
Moon, Sangkil
Journal of Interactive Marketing. Nov2011, Vol. 25 Issue 4, p215-225. 11p.

OPEN source software COMPUTER software MARKETING JAVA programming languag...
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97

PromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs)
Nazzal, Mahmoud ; Khalil, Issa ; Khreishah, Abdallah ; et al.

Computer Science - Softw... Computer Science - Machi...
Report
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98

Comparative Analysis of Natural Language Processing Techniques in the Classification of Press Articles.
Piasta, Kacper ; Kotas, Rafał
Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 17, p9559, 29p

NATURAL language process... DEEP learning SOFTWARE libraries (Comp... MACHINE learning DATA mining CLASSIFICATION …
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99

KFCC: A differentiation-aware and keyword-guided fine-grain code comment generation model
Zhang, Rui ; Qiao, Ziyue ; Zhang, Chenghao ; et al.
In Expert Systems With Applications 1 October 2024 251

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100

A Comparative Study of Students Performance in Object Oriented Programming (OOP) Using Java Before and During COVID-19 (A Case of Kapasa Makasa Campus)
Nimrod Siluyele ; Shumba Langton ; Edward Nkonde ; et al.
American Journal of Networks and Communications. 10:1

9. Industry and infrastr... 4. Education 3. Good health
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