Results 201 to 210 of about 22,784,147 (354)

Exploring Generative Adversarial Networks for Secure Data Encryption and Future Directions in Communication Systems

Ranjith Bhat, Raghu Nanjundegowda
openalex   +1 more source

psfgan: a generative adversarial network system for separating quasar point sources and host galaxy light [PDF]

, 2018
Dominic Stark, Barthelemy Launet, Kevin Schawinski, Ce Zhang, Michael Koss, M. Dennis Turp, Lia F. Sartori, Hantian Zhang, Yiru Chen, Anna K. Weigel   +9 more
openalex   +1 more source

Adversarial-robust steganalysis system leveraging adversarial training and EfficientNet

TELKOMNIKA (Telecommunication Computing Electronics and Control)
Thakwan Akram Jawad, Jamshid Bagherzadeh Mohasefi, Mohammed Salah Reda Abdelghany   +2 more
openaire   +1 more source

Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study

Energy Science &Engineering, EarlyView.
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Khurram Hashmi, Abbas Javed, Basem Alamri, Krzysztof Ejsmont   +6 more
wiley   +1 more source

Bearing Anomaly Detection Method Based on Multimodal Fusion and Self-Adversarial Learning. [PDF]

Sensors (Basel)
Liu H, Qin Y, Tu D.
europepmc   +1 more source

System Design and Development for Industry-Education Integration in Art Universities Based on Generative Adversarial Networks and Attention Mechanism

Xing-Hong Leng, Yifeng Zhao
openalex   +2 more sources

Performance Monitoring of Photovoltaic Modules Using Machine‐Learning‐Based Solutions: A Survey of Current Trends

Energy Science &Engineering, EarlyView.
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe, Abraham Dimitri Kapim Kenfack, Nicolas Thantsha, Mandla Msimanga   +3 more
wiley   +1 more source

Infrared and visible image fusion using GAN with fuzzy logic and Harris Hawks optimization. [PDF]

Sci Rep
Zarimeidani M, Amirabadi A, Amiri N, Ahanian I, Es'haghi S.   +4 more
europepmc   +1 more source

Tomtit‐Raven Evolutionary Selector‐Reinforced Attention‐Driven: A High‐Performance and Computationally Efficient Cyber Threat Detection Framework for Smart Grids

Energy Science &Engineering, EarlyView.
Overview of the proposed work. ABSTRACT Identifying cyber threats maintains the security and operational stability of smart grid systems because they experience escalating attacks that endanger both operating data reliability and system stability and electricity grid performance.
Priya R. Karpaga, Praveen Kumar Balachandran, Umawathy Techanamurthy, Muhammad Ammirrul Atiqi Mohd Zainuri   +3 more
wiley   +1 more source

Secure and fault tolerant cloud based framework for medical image storage and retrieval in a distributed environment. [PDF]

Sci Rep
Amaithi Rajan A, V V, M A, R PK.
europepmc   +1 more source