Results 231 to 240 of about 160,235 (299)

Lightweight Convolutional Neural Networks Model and Data Augmentation‐Based Background Regression for Rail Surface Defect Detection

Artificial Intelligence for Engineering, EarlyView.
An ultra‐lightweight semantic segmentation network RailNet with only 0.905 M parameters is proposed for rail surface defect detection. Combined with a CDBM image enhancement and GAN‐based data augmentation, RailNet achieves superior segmentation accuracy and real‐time speed on edge devices.
Ziqing Wu, Weilong Niu, Xiaoguang Sun, Ting Qu, Yihui Zhu   +4 more
wiley   +1 more source

Enhancing Korean adolescent suicide risk prediction with TabR: A generative AI and explainable retrieval-based deep learning approach. [PDF]

Medicine (Baltimore)
Byeon H.
europepmc   +1 more source

Dimensionally constrained adversarial attack and defense in wind power forecasting. [PDF]

PLoS One
Min Y, Jiang C, Zhang L, Wen X, Tu J, Zhang J.   +5 more
europepmc   +1 more source

Cyber-Security and Artificial Intelligence: A Study on Adversarial Machine Learning (AML)

Mahesh Nathilal Mistry
openalex   +1 more source

Enhancing security in IoMT using federated TinyGAN for lightweight and accurate malware detection. [PDF]

Sci Rep
S D, Shankar MG, Daniel E, R BGV.
europepmc   +1 more source

Computable Model-Independent Bounds for Adversarial Quantum Machine Learning [PDF]

Bacui Li, Tansu Alpcan, Chandra Thapa, Udaya Parampalli   +3 more
openalex   +1 more source

Comprehensive analysis of security threats and privacy issues in indoor localization systems. [PDF]

Sci Rep
Ayub A, Abidin ZZ, Alhammadi A, Khan MA, Soliman NF, Ghazali NB, Algarni AD.   +6 more
europepmc   +1 more source

Review on enhancing clinical decision support system using machine learning

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood, Usman Naseem, Junaid Rashid, Jungeun Kim, Imran Razzak   +4 more
wiley   +1 more source

Momentum-Based Adversarial Attacks and Multi-Level Denoising Defenses in Deep Learning-Based Wind Power Forecasting. [PDF]

Sensors (Basel)
Min Y, Jiang C, Yang K, Wen X, Chen K.
europepmc   +1 more source

Multitype Game Optimisation: A Two‐Stage Fine‐Tuning Framework for Multi‑Game Optimisation With Large Language Models

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Large language models (LLMs) have made remarkable advances in natural language processing, demonstrating great potential in modelling structured sequences. However, adapting these capabilities to machine gaming tasks such as Go remains challenging due to limitations in strategy generalisation and optimisation efficiency.
Xiali Li, Jingshi Gu, Feifan He, Yang Xiao, Yuanli Jia, Ping Lan   +5 more
wiley   +1 more source