Current Status of Emerging Contaminant Models and Their Applications Concerning the Aquatic Environment: A Review

Water, Journal Year: 2025, Volume and Issue: 17(1), P. 85 - 85

Published: Jan. 1, 2025

Increasing numbers of emerging contaminants (ECs) detected in water environments require a detailed understanding these chemicals’ fate, distribution, transport, and risk aquatic ecosystems. Modeling is useful approach for determining ECs’ characteristics their behaviors environments. This article proposes systematic taxonomy EC models addresses gaps the comprehensive analysis applications. The reviewed include conventional quality models, multimedia fugacity machine learning (ML) models. Conventional have higher prediction accuracy spatial resolution; nevertheless, they are limited functionality can only be used to predict contaminant concentrations Fugacity excellent at depicting how travel between different environmental media, but cannot directly analyze variations parts same media because model assumes that constant within compartment. Compared other ML applied more scenarios, such as identification assessments, rather than being confined concentrations. In recent years, with rapid development artificial intelligence, surpassed becoming one newest hotspots study ECs. primary challenge faced by outcomes difficult interpret understand, this influences practical value an some extent.

Language: Английский

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Advances in bioinformatic methods for the acceleration of the drug discovery from nature

Phytomedicine, Journal Year: 2025, Volume and Issue: 139, P. 156518 - 156518

Published: Feb. 14, 2025

Language: Английский

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A comprehensive survey of deep learning for time series forecasting: architectural diversity and open challenges

Artificial Intelligence Review, Journal Year: 2025, Volume and Issue: 58(7)

Published: April 23, 2025

Language: Английский

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Developing a Smart Learning System for Large Enterprises Based on Intelligent Augmented Reality

Journal of Organizational and End User Computing, Journal Year: 2025, Volume and Issue: 37(1), P. 1 - 14

Published: Jan. 23, 2025

This paper proposes a smart learning system built on deep and augmented reality (AR) to support employees with practical IoT experimentation, from components circuit board pin connections programming control. For instance, can use their mobile phones capture images of electronic access AR-enhanced instructional materials for component properties. AR-assisted offers guidance at each experimental stage hands-on practice troubleshooting. The also incorporates the pair teaching method enhance quality confidence, enabling collaborate teammates throughout process. is further equipped an online whiteboard Q&A in-depth theoretical exploration experiment. Additionally, blockchain platform records analyzes employee's progress status, providing comprehensive view development.

Language: Английский

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Deepfake Media Forensics: Status and Future Challenges

Journal of Imaging, Journal Year: 2025, Volume and Issue: 11(3), P. 73 - 73

Published: Feb. 28, 2025

The rise of AI-generated synthetic media, or deepfakes, has introduced unprecedented opportunities and challenges across various fields, including entertainment, cybersecurity, digital communication. Using advanced frameworks such as Generative Adversarial Networks (GANs) Diffusion Models (DMs), deepfakes are capable producing highly realistic yet fabricated content, while these advancements enable creative innovative applications, they also pose severe ethical, social, security risks due to their potential misuse. proliferation triggered phenomena like “Impostor Bias”, a growing skepticism toward the authenticity multimedia further complicating trust in interactions. This paper is mainly based on description research project called FF4ALL (FF4ALL-Detection Deep Fake Media Life-Long Authentication) for detection authentication focusing areas forensic attribution, passive active authentication, real-world scenarios. By exploring both strengths limitations current methodologies, we highlight critical gaps propose directions future ensure media integrity trustworthiness an era increasingly dominated by media.

Language: Английский

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Deep learning in nuclear medicine: from imaging to therapy

Annals of Nuclear Medicine, Journal Year: 2025, Volume and Issue: unknown

Published: March 13, 2025

Language: Английский

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Homomorphic encryption-based fault diagnosis in IoT-enabled industrial systems

International Journal of Information Security, Journal Year: 2025, Volume and Issue: 24(3)

Published: March 24, 2025

Language: Английский

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Fusion of quantum computing and explainable AI: A comprehensive survey on transformative healthcare solutions

Information Fusion, Journal Year: 2025, Volume and Issue: unknown, P. 103217 - 103217

Published: April 1, 2025

Language: Английский

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Beyond Missing Data: A Multimodal Approach Using VR-EEG-MRI (VEEM) Biomarkers for Detecting MCI

Published: April 23, 2025

Language: Английский

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Fast underwater scene reconstruction using multi-view stereo and physical imaging

Neural Networks, Journal Year: 2025, Volume and Issue: 189, P. 107568 - 107568

Published: May 14, 2025

Language: Английский

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