Results 91 to 100 of about 9,816 (301)

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

METHODOLOGICAL PREREQUISITES FOR RECOGNISING THE BALANCE OF PUBLIC AND PRIVATE INTERESTS AS A PRINCIPLE OF MODERN RUSSIAN CRIMINAL PROCEDURE

Правовое государство: теория и практика
The drafters of the Criminal Procedure Code of the Russian Federation attempted to implement the idea of restructuring criminal proceedings following the Anglo-Saxon model.
DAVLETOV Akhtyam Akhatovich, AZARENOK Nikolay Vasilyevich   +1 more
doaj   +1 more source

Locating Anatomical Landmarks on 2D Lateral Cephalograms Through Adversarial Encoder-Decoder Networks

IEEE Access, 2019
Locating anatomical landmarks in a cephalometric X-ray image is a crucial step in cephalometric analysis. Manual landmark localization suffers from inter- and intra-observer variability, which makes developing automated localization methods urgent in ...
Xiubin Dai, Hao Zhao, Tianliang Liu, Dan Cao, Lizhe Xie   +4 more
doaj   +1 more source

Costly Evidence Production and the Limits of Verifiability [PDF]

This paper explores the limits of "verifiability" induced by the process of costly evidence production in contractual relationships of complete information.
Jesse Bull
core  

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Adversarial attacks and defenses for digital communication signals identification

Digital Communications and Networks
As modern communication technology advances apace, the digital communication signals identification plays an important role in cognitive radio networks, the communication monitoring and management systems.
Qiao Tian, Sicheng Zhang, Shiwen Mao, Yun Lin   +3 more
doaj   +1 more source

Editorial dossier “Criminal Procedure Systems and Judicial Impartiality”: Impartiality and evidence in criminal procedure – consequences to judge’s evidence power

Revista Brasileira de Direito Processual Penal, 2018
The aim of this paper is to clarify the relationship between the principle of impartiality and the role of the judge in the trial with regard to the evidence.
Lorena Bachmaier Winter
doaj   +1 more source

The Reality of Non-Adversarial Justice: Principles and Practice

Deakin Law Review, 2009
The growth, development and institutionalisation of alternative dispute resolution (ADR) processes in Australia have paved the way for a changing legal culture. Whilst the adversarial process underpins the Australian legal system, the theory and practice of ADR has allowed a broadening of attitudes towards conflict resolution.
openaire   +2 more sources

Procedure of Involving an Expert in the Context of Realization the Adversarial Principle in Criminal Proceedings

, 2020
The article examines the issue of the procedure of involving an expert in the context of realization the adversarial principle in criminal proceedings, taking into account changes in the criminal procedural legislation.
Kalinovska Mariana, Krushynskyi Serhii
core   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source