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1

MACHINE LEARNING FOR NETWORKING
INTERNATIONAL CONFERENCE ON MACHINE LEARNING FOR NETWORKING (7TH: 2024: REIMS, FRANCE) ; FOUCHAL HACENE, Editor

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4

Deep Learning- based Smart Traffic Prediction for Enhanced Quality of Service in Software-defined Networking
A. Mahdi ; A. Al Saadi
International Journal of Engineering. 39:739-755

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5

Cyber Gremlin: Social Networking, Machine Learning and the Global War on Al-Qaida-and IS-Inspired Terrorism
Ammar, Jamil
27 Int'l J.L. & Info. Tech. 238 (2019) / International Journal of Law and Information Technology, Vol. 27, Issue 3 (Autumn 2019), pp. 238-265

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6

PROFiT-Net: Property-Networking Deep Learning Model for Materials
Kim, Se-Jun ; Kim, Won June ; Kim, Changho ; et al.
Journal of the American Chemical Society. 146(38):26000-26007

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7

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8

Metaparameter optimized hybrid deep learning model for next generation cybersecurity in software defined networking environment
Kumar, C. Labesh ; Betam, Suresh ; Pustokhin, Denis ; et al.
Scientific Reports. 15(1)

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9

A Review of Deep Learning Approaches for Fake Profile Detection on Social Networking Sites
null Divya Sharma ; null Dr. Nirupma Singh
International Journal of Scientific Research in Science, Engineering and Technology. 12:432-445

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10

MACHINE LEARNING FOR NETWORKING
INTERNATIONAL CONFERENCE ON MACHINE LEARNING FOR NETWORKING (6TH: 2023: PARIS, FRANCE) ; ERIC RENAULT, Editor

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11

A Hybrid Deep Learning Approach for Network Intrusion Detection System in Software-Defined Networking with Hybrid Feature Selection
Ch. Divya
International Journal for Research in Applied Science and Engineering Technology. 13:1752-1759

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12

Fake Profile Detection on Social Networking Websites Using Machine Learning
M .SATISH ; KOLLI BALAJI
International Scientific Journal of Engineering and Management. :1-9

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13

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14

Enhancing Network Slicing Security: Machine Learning, Software-Defined Networking, and Network Functions Virtualization-Driven Strategies
Ferreira, Pedro ; Castro, Eva M. ; Oliveira, Paula Cristina ; et al.

network security SDN NFV ML network slicing
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15

A Hybrid Framework for the Sensitivity Analysis of Software-Defined Networking Performance Metrics Using Design of Experiments and Machine Learning Techniques.
Ezechi, Chekwube ; Akinsolu, Mobayode O. ; Sakpere, Wilson ; et al.
Information. Sep2025, Vol. 16 Issue 9, p783. 38p.

Internet of things Experimental design Machine learning Software-defined network... Sensitivity analysis Data augmentation
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16

Combative Machine Learning Approaches for Solving Bot-Driven Cyber Threats in Social Networking Platforms
Sheba Pari N ; Senthil Kumar K
Journal of Internet Services and Information Security. 15:652-672

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17
18

Network intrusion detection based on machine learning strategies: performance comparisons on imbalanced wired, wireless, and software-defined networking (SDN) network traffics
Hacılar, Hilal ; Aydın, Zafer ; Güngör, Vehbi Çağrı ; et al.
Turkish Journal of Electrical Engineering and Computer Sciences. 32:623-640

network anomaly detectio... Network intrusion detect... class imbalance deep learning Bayesian opti- mization software-defined network...
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19

A Machine Learning approach for Fake Profile Classification in Social Networking
Sneha A ; Boopathi Kumar E
International Journal of Innovative Research in Computer Science and Technology. 13:96-102

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20

Harnessing Machine Learning for Intelligent Networking in 5G Technology and Beyond: Advancements, Applications and Challenges
Kristi Dulaj ; Abdulraqeb Alhammadi ; Ibraheem Shayea ; et al.
IEEE Open Journal of Intelligent Transportation Systems, Vol 6, Pp 605-633 (2025)

Transportation engineeri... machine learning TA1001-1280 cybersecurity interoperability intelligent transportati...
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