Results 111 to 120 of about 9,816 (301)

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

Problematics of Realization of Adversarial Principle and the Principle of Equality of Arms at the Stage of the Investigation

Law and World
Criminal Procedure Code of Georgia tries to share the Anglo-Saxon law system model, which is based on “pure” equality of arms and adversarial principle; this can be said according to the requirements of the 9th article of the Criminal Procedure Code of Georgia regarding that at the beginning of criminal prosecution, the criminal process is being ...
openaire   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Automated federated learning‐based adversarial attack and defence in industrial control systems

IET Cyber-systems and Robotics
With the development of deep learning and federated learning (FL), federated intrusion detection systems (IDSs) based on deep learning have played a significant role in securing industrial control systems (ICSs).
Guo‐Qiang Zeng, Jun‐Min Shao, Kang‐Di Lu, Guang‐Gang Geng, Jian Weng   +4 more
doaj   +1 more source

The relationship between the principle of adversarial procedure and the principle of material truth in Polish civil procedure - theoretical and legal issues, de lege ferenda remarks

, 2021
W artykule podjęto próbę wskazania relacji zachodzących pomiędzy zasadą kontradyktoryjności a zasadą prawdy materialnej oraz skutków prawnych tej relacji w tym procesowych, społecznych i socjologicznych.
Zienowicz, Tomasz A., Sprengel, Rachela
core  

Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy

Advanced Intelligent Discovery, EarlyView.
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang, Andrew Bai, Alexandra Bermudez, Yunqi Hong, Zoe Latham, Iris Sloan, Michael Liu, Vishrut Goyal, Cho‐Jui Hsieh, Neil Y. C. Lin   +9 more
wiley   +1 more source

Adversarial versus Inquisitorial Systems: Error and Valuation

, 2017
This paper discusses valuation within the judicial processes by comparing the adversarial and inquisitorial systems of litigation. It evaluates adversarial and inquisitorial litigation on the legal systems’ ability to aid processes that lead to discovery
Shruti Rajagopalan
core   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source