Results 121 to 130 of about 5,574 (249)

Applying the Rules of Evidence to Expert Testimony About Risk

Behavioral Sciences &the Law, EarlyView.
ABSTRACT Expert opinion about dangerousness or risk is common at sentencing, criminal commitment proceedings and some types of pretrial detention hearings. This article argues that such evidence must be (1) “material” (logically relevant, empirically generalizable, and epistemologically germane), (2) “probative” (a measure of accuracy, which is ...
Christopher Slobogin
wiley   +1 more source

A Texture-Guided Adversarial Defense Framework Against Deepfake Generation

IEEE Access
Deepfakes are an increasing danger to the reliability of digital media, with several detection algorithms developed to identify manipulated content. Although detection approaches continue to improve, proactive defenses that protect images by embedding ...
Maryam Bukhari, Muazzam Maqsood, Asma Sattar, Mi Young Lee   +3 more
doaj   +1 more source

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 more
wiley   +1 more source

Prompt-Guided Environmentally Consistent Adversarial Patch

CoRR
Adversarial attacks in the physical world pose a significant threat to the security of vision-based systems, such as facial recognition and autonomous driving. Existing adversarial patch methods primarily focus on improving attack performance, but they often produce patches that are easily detectable by humans and struggle to achieve environmental ...
Chaoqun Li, Huanqian Yan, Lifeng Zhou, Tairan Chen, Zhuodong Liu, Hang Su   +5 more
openaire   +2 more sources

Computationally Driven Advances in Cu‐CNT On‐Chip Interconnect Materials: From First Principles to Machine Learning

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A multiscale framework integrating electronic, mechanical, and thermal analysis with machine learning to optimize carbon nanotube interconnects. As the component dimensions in integrated circuits shrink to extreme scales, the complexity of interconnect systems is increasing significantly, necessitating an urgent and comprehensive upgrade of ...
Changhong Zhang, Jie Liang, Yi Li, Zhenyu Wang, Haoyuan Li, Zhen Yuan, Jiuren Zhou, Rongmei Chen, Wensheng Zhao, Lei Zhang, Hanshen Xin, Jianhua Zhang   +11 more
wiley   +1 more source

Steering Industrial Decarbonisation: Explaining OECD Policy Variation

Environmental Policy and Governance, EarlyView.
ABSTRACT The ongoing rise in CO2 emissions driven by energy‐intensive industries highlights the urgent need for targeted policy interventions, with national strategies playing a crucial role in the low‐carbon transition. However, the factors that shape the ambition of industrial decarbonisation policies remain poorly understood.
Ebba Minas
wiley   +1 more source

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

Locally Conditioned GANs: Self-Supervised Local Patch Representation Learning for Conditional Generation

IEEE Access
Existing conditional generation models using generative adversarial networks (GANs) suffer from two common limitations: 1) they heavily rely on supervision, or 2) their performance is favorable to the scenario of creating only small changes.
Dongseob Kim, Hyunjung Shim
doaj   +1 more source

Deep learning‐based prediction of cervical lymph node metastasis and genetic alterations from whole‐slide images of thyroid cancer frozen sections

Interdisciplinary Medicine, EarlyView.
Deep learning models accurately predict cervical lymph node metastasis and key genetic mutations (BRAF/TERT) directly from thyroid cancer frozen sections. This AI‐driven pipeline provides a rapid real‐time tool to guide intraoperative surgical decisions, helping to optimize surgical extent and prevent both over‐ and under‐treatment without the need for
Mingxing Qiu, Jinbang Li, Shujing Guo, Danyi Li, Chengyu Lu, Chenglong Zhao, Jiankun He, Hanxi Wang, Qiao Bai, Aihetaimu Aimaier, Zhijian Cen, Rui Mao, Zimo Ye, Jiaxue Zang, Zhining Zhuo, Lijuan Qu, Yueping Liu, Jing Cui, Xiaohong Yao, Xiuwu Bian, Li Liang   +20 more
wiley   +1 more source

Care and COVID 19: Lessons for liberals and neoliberals

Child &Family Social Work, EarlyView., 2023
Abstract Within the liberal political traditions, care is regarded as a private matter, a problem of ethics rather than justice. Social justice is framed as an issue of economics (re/distribution), culture (recognition) and/or politics (representation).
Kathleen Lynch
wiley   +1 more source