Results 191 to 200 of about 1,662,189 (295)

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Generating imperceptible adversarial examples via low-frequency aware transfer attacks on battery management systems. [PDF]

Sci Rep
Min K, Joo Y, Hong J, Kim H, Lee S, Son Y.   +5 more
europepmc   +1 more source

Predicting Solar Photovoltaic Power Output in Saudi Arabia's Jazan Region: Performance Comparison of Machine Learning Models

Energy Science &Engineering, EarlyView.
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani, Abdullahi Abubakar Mas'ud, Mohd Khairul Amri Kamarudin, Firdaus Muhammad‐Sukki, Abdullahi Mohammad   +4 more
wiley   +1 more source

Adversarial examples in neural networks

In recent years, development in various areas such as computer vision and natural language processing, has exposed deep learning technology to security risks gradually.
Lim, Ruihong
core  

Low Uncertainty Adversarial Examples

Neural networks are vulnerable to adversarial attacks. Adversarial samples are samples that have a small perturbation compared to the original input they were create from, but are misclassified by the attacked neural network.
Moosbauer, Sara
core   +1 more source

Challenges and strategies toward next‐generation high‐performance flexible and printable thin‐film transistors

FlexMat, EarlyView.
This review explores recent progress in printing strategies such as inkjet, screen, liquid metal, and roll to roll (R2R) methods and their roles in fabricating flexible TFTs. Device architectures are examined with emphasis on printed components and their influence on performance and stability.
Xia Zhao, Zhongqing Zeng, Zeyu Hu, Jaekyun Kim, Jidong Jin, Wensi Cai, Zhigang Zang   +6 more
wiley   +1 more source

Imperceptible Adversarial Examples in the Physical World

Adversarial examples in the digital domain against deep learning-based computer vision models allow for perturbations that are imperceptible to human eyes.
Xu, Weilin, Cornelius, Cory, Martin, Jason, Rojas, Luis Murillo, Velasquez, Alvaro, Himayat, Nageen, Szyller, Sebastian, Arvinte, Marius   +7 more
core  

Beyond Prediction: Data, Baselines, Explanation, and Causation in Machine Learning for Food Insecurity

Food Safety and Health, EarlyView.
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob, Azman Abdullah, Gunesh Kumar, Samreen Memon, Naila Afghan   +4 more
wiley   +1 more source

Adversarial Examples on XAI-Enabled DT for Smart Healthcare Systems. [PDF]

Sensors (Basel)
Imam NH.
europepmc   +1 more source

Citrus Essential Oils in Food Safety and Health: Advances in AI‐Assisted Authentication, Antimicrobial Applications, Sustainable Extraction, and Regulatory Translation

Food Safety and Health, EarlyView.
Citrus essential oils combine sustainable extraction, AI‐assisted authentication, multi‐omics profiling, antimicrobial activity, and regulatory safety to enhance food quality, detect adulteration, and promote consumer health, and support intelligent, sustainable food systems through innovative industrial applications and circular bioeconomy strategies.
Md. Hassan Bin Nabi, Liza Akter, Yusuf Chowdhury, Mohima Akther Any, Nazmul Islam, Erni Sofia Murtini, Nurul Huda, Wahidu Zzaman   +7 more
wiley   +1 more source