Results 51 to 60 of about 256 (143)

Benford's Law in Basic RNN and Long Short‐Term Memory and Their Associations

Applied AI Letters, Volume 6, Issue 3, October 2025.
This work examines neural networks from a novel perspective, demonstrating two key findings as proof of concept: (1) Benford's Law is present in neural network weights, and (2) higher‐accuracy models exhibit stronger conformity to Benford's Law. ABSTRACT Benford's Law describes the distribution of numerical patterns, specifically focusing on the ...
Farshad Ghassemi Toosi
wiley   +1 more source

VQA ² : Visual Question Answering for Video Quality Assessment

Proceedings of the 33rd ACM International Conference on Multimedia
23 pages 12 ...
Ziheng Jia, Zicheng Zhang, Jiaying Qian, Haoning Wu 0001, Wei Sun 0029, Chunyi Li, Xiaohong Liu 0001, Weisi Lin, Guangtao Zhai, Xiongkuo Min   +9 more
openaire   +2 more sources

The Rise of Large Language Models: Evolution, Applications, and Future Directions

Engineering Reports, Volume 7, Issue 9, September 2025.
This paper provides a comprehensive Systematic Literature Review (SLR) on Large Language Models (LLMs), covering their evolution, applications, evaluation metrics, and challenges. It identifies key research gaps and future directions, offering a structured taxonomy and analysis of performance environments, datasets, and open issues in LLM research ...
Amir Masoud Rahmani, Atefeh Hemmati, Shirin Abbasi   +2 more
wiley   +1 more source

DVL2024: A Larger Ultra-High-Definition Video Dataset for Perceptual Quality Study

IEEE Access
This paper introduces DVL2024, an expansive ultra-high definition (UHD) video dataset meticulously curated for advancing perceptual video quality assessment (VQA) research.
Jiefeng He, Jinchun Yuan, Fengchuang Xing   +2 more
doaj   +1 more source

Weak Supervision: A Survey on Predictive Maintenance

WIREs Data Mining and Knowledge Discovery, Volume 15, Issue 2, June 2025.
The authors conduct a comprehensive examination of Weakly Supervised Learning for Predictive Maintenance, the survey discusses the challenges and identifies open research lines. ABSTRACT The maintenance advancements achieved in Industry 4.0 generate large amounts of data, necessitating complete, accurate, and precise labels for training datasets to ...
Antonio M. Martínez‐Heredia, Sebastián Ventura   +1 more
wiley   +1 more source

AI Large Models for Power System: A Survey and Outlook

IET Smart Energy Systems, Volume 1, Issue 1, Page 3-21, June 2025.
This paper introduces the large models, concludes the remarkable capabilities of it and reviews recent advancements and potential applications of large models in power systems. Moreover, it summarizes the key enhancement technologies for optimizing the effectiveness of large models of power systems.
Qi Yao, Fang Fang, Yuanye Chen, Jizhen Liu, Haitang Mo, Yun Ao   +5 more
wiley   +1 more source

Synchronisation, Optimisation and Adaptation of Machine Learning Techniques for Computer Vision in Cyber‐Physical Systems: A Comprehensive Analysis

IET Cyber-Physical Systems: Theory &Applications, Volume 10, Issue 1, January/December 2025.
This systematic analysis aims to offer a unique point to researchers and facilitates this process by allowing researchers to benchmark and compare various techniques, evaluate their effectiveness and establish best practices. It provides evidence‐based insights into optimal strategies for implementation while addressing potential trade‐offs in ...
Kai Hung Tang, Mohamed Chahine Ghanem, Pawel Gasiorowski, Vassil Vassilev, Karim Ouazzane   +4 more
wiley   +1 more source

Characterizing Natural Adversarial Examples Through Activation Map Analysis

IET Image Processing, Volume 19, Issue 1, January/December 2025.
This work proposes an analysis of activation maps to compare the behaviour of original images and different kinds of adversarial examples, both artificial and natural. For this purpose, different metrics are extracted from the activation heatmap, such as mean pixel values, centroid distance or reference image quality metrics.
Anibal Pedraza, Nerea Leon, Harbinder Singh, Oscar Deniz, Gloria Bueno   +4 more
wiley   +1 more source

A packet-layer video quality assessment model with spatiotemporal complexity estimation

EURASIP Journal on Image and Video Processing, 2011
A packet-layer video quality assessment (VQA) model is a lightweight model that predicts the video quality impacted by network conditions and coding configuration for application scenarios such as video system planning and in-service video quality ...
Liao Ning, Chen Zhibo
doaj  

Light-VQA+: A Video Quality Assessment Model for Exposure Correction with Vision-Language Guidance

International Journal of Computer Vision
Recently, User-Generated Content (UGC) videos have gained popularity in our daily lives. However, UGC videos often suffer from poor exposure due to the limitations of photographic equipment and techniques. Therefore, Video Exposure Correction (VEC) algorithms have been proposed, Low-Light Video Enhancement (LLVE) and Over-Exposed Video Recovery (OEVR ...
Xunchu Zhou, Xiaohong Liu 0001, Yudong Zhang 0001, Tengchuan Kou, Yixuan Gao, Zicheng Zhang, Chunyi Li, Haoning Wu 0001, Guangtao Zhai   +8 more
openaire   +2 more sources