Results 81 to 90 of about 114,527 (276)

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

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
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

Zasada prawdy w polskim procesie karnym – uwagi na tle zmian k.p.k

Acta Iuris Stetinensis, 2016
The amendment to the Polish Code of Criminal Procedure (PCCP), which became effective as of 1 July 2015, had changed the model of the Polish criminal trial by opening it up to be more adversarial.
Jakub Michalski
doaj   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

Advanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali, Lachlan Caulfield, Eric Sauter, Alexei Nefedov, Chengwu Yang, Christof Wöll   +5 more
wiley   +1 more source

Exploring the uncertainty principle in neural networks through binary classification

Scientific Reports
Neural networks are reported to be vulnerable under minor and imperceptible attacks. The underlying mechanism and quantitative measure of the vulnerability still remains to be revealed.
Jun-Jie Zhang, Jian-Nan Chen, De-Yu Meng, Xiu-Cheng Wang   +3 more
doaj   +1 more source

Translational symmetry in convolutions with localized kernels causes an implicit bias toward high frequency adversarial examples

Frontiers in Computational Neuroscience
Adversarial attacks are still a significant challenge for neural networks. Recent efforts have shown that adversarial perturbations typically contain high-frequency features, but the root cause of this phenomenon remains unknown.
Josue O. Caro, Yilong Ju, Yilong Ju, Ryan Pyle, Ryan Pyle, Sourav Dey, Wieland Brendel, Fabio Anselmi, Fabio Anselmi, Fabio Anselmi, Ankit B. Patel, Ankit B. Patel   +11 more
doaj   +1 more source

Adversarial process: urgent problems of modern Russian criminal proceedings

Правоприменение, 2019
The subject of the article is realization of adversarial process principle in Russian criminal proceedings.The purpose of the article is to disclose the list of systemic flaws in modern criminal justice. The hypothesis of the study is the thesis that the
Vyacheslav V. Koryakovtsev, Xenia V. Pitulko   +1 more
doaj   +1 more source

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