Results 41 to 50 of about 17,779 (265)

Ethical Precision in Nanoscale Brain Interfacing

Advanced Science, EarlyView.
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley   +1 more source

THE CONTROLLER OF FUZZY LOGIC IN THE MANAGEMENT OF TECHNOLOGICAL PROCESSES

Вестник СибАДИ, 2018
Introduction. The current stage of progress is associated with the development and implementation of intelligent systems and technologies that provide the formation of clear solutions based on fuzzy rules, fuzzy conclusion and fuzzy control. However, the
S. V. Shilkina, E. N. Fokina
doaj   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

COMPARATIVE ANALYSIS OF FUZZY LOGIC TECHNIQUES FOR INTELLIGENT TRANSPORTATION SYSTEMS [PDF]

ICTACT Journal on Soft Computing
Fuzzy logic deals with uncertainty, scalability, data integration, and inaccuracy that offers an appealing solution to Intelligent Transportation Systems (ITS), especially in traffic management in urban cities.
Gaurav, Sunil Kumar
doaj   +1 more source

Model Reduction of Fuzzy Logic Systems [PDF]

Mathematical Problems in Engineering, 2014
This paper deals with the problem of ℒ2‐ℒ∞ model reduction for continuous‐time nonlinear uncertain systems. The approach of the construction of a reduced‐order model is presented for high‐order nonlinear uncertain systems described by the T‐S fuzzy systems, which not only approximates the original high‐order system well with an ℒ2‐ℒ∞ error performance ...
Zhandong Yu, Jinyong Yu, Hamid Reza Karimi   +2 more
openaire   +3 more sources

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

Advanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

Fuzzy Aggregators - an Overview [PDF]

Interdisciplinary Description of Complex Systems, 2023
The article deals with mathematical formalism of the process of combining several inputs into a single output in fuzzy inteligent systems, the process known as aggregation. We are interested in logic aggregation operators. Such aggregators are present in
Dragan Z. Šaletić
doaj  

Multi‐Stimuli‐Responsive Hydrogen‐Bonded Organic Frameworks Nanocarriers Enable Targeted Fungicide Release and Plant Immune Regulation

Advanced Science, EarlyView.
A fluorinated hydrogen‐bonded organic framework nanocarrier (PFC‐1‐F) loaded with PYR and coated with HACC enables multi‐stimuli‐responsive (enzyme/ROS/pH) release at infection sites. Exhibiting targeted antifungal activity against Sclerotium rolfsii, modulating plant antioxidant defense, and demonstrating favorable biosafety across plant, soil, and ...
Guangming Ma, Ying Zou, Yao Wang, Huiyan Li, Jinlin Li, Tianfu Liu, Xiaohong Pan   +6 more
wiley   +1 more source

DDSurfer: A Weakly‐Supervised Dual‐Stream Deep Learning Framework for Cortical Surface Reconstruction From Diffusion MRI

Advanced Science, EarlyView.
DDSurfer reconstructs cortical surfaces directly from diffusion MRI without requiring T1‐weighted scans. By fusing complementary microstructural features and learning diffeomorphic deformations, it efficiently generates accurate white matter and pial surfaces, improving geometric fidelity and morphometric reliability across datasets for robust surface ...
Chengjin Li, Wei Zhang, Xi Zhu, Yuqian Chen, Nir A. Sochen, Jarrett Rushmore, Carl‐Fredrik Westin, Yogesh Rathi, Lauren J. O'Donnell, Ofer Pasternak, Fan Zhang   +10 more
wiley   +1 more source

Analysis of Fuzzy Logic Modification for Student Assessment in e-Learning

IJID (International Journal on Informatics for Development), 2020
The phenomenon of the rapid transfer of learning to online systems, such as e-Learning, has occurred massively. Institutions must ensure that student assessments run well.
Retantyo Wardoyo, Wenty Dwi Yuniarti
doaj   +1 more source