Results 91 to 100 of about 43,777 (268)

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Industry 4.0 and industrial revolutions: An assessment based on complexity [PDF]

FME Transactions, 2019
The evolution of society can be related to industrial revolutions. Revolutions are disruptive and transformative phenomena that change and interact with several systems.
Pinheiro Pedro, Putnik Goran D., Castro Alrenice, Castro Hélio, Dal Bosco Fontana Rodrigo, Romero Fernando   +5 more
doaj  

A Fixed‐Charge Interphase Synchronizes Ion Transport to Suppress Space‐Charge‐Driven Inefficiency Under Nanoliter Confinement

Angewandte Chemie International Edition, EarlyView.
Electrochemical energy storage breaks down under extreme miniaturization, where interfaces and space‐charge dominate device behavior. This work introduces a fixed‐charge selective interphase (FCSI) integrated into a twin‐tube micro‐Swiss‐roll architecture.
Yaping Yan, Jiachen Ma, Wenlan Zhang, Hongmei Tang, Yue Li, Ruhuai Mei, Yang Huang, Daniil Karnaushenko, Dmitriy D. Karnaushenko, Yumin Luo, Kai Zhang, Oliver G. Schmidt, Minshen Zhu   +12 more
wiley   +1 more source

Fractals in radar and radio physics: 40 years of research experience

Физика волновых процессов и радиотехнические системы, 2019
A review of the main scientific results on creation of new information technologies on the basis of textures, fractals, fractional operators and non-linear dynamic methods which were obtained by the author has been presented in this work. The researchers
A.A. Potapov
doaj   +1 more source

Radiative Hybrid Nanofluid Flow Over a Porous Riga Surface: A Fuzzy–ANN Modeling Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study proposes a fuzzy–ANN model to investigate the nonlinear thermal transport in a tangent hyperbolic (Tanh) hybrid nanofluid flow past a porous Riga surface, considering the effects of Rosseland diffusion, chemical reactions, and internal volumetric heating.
Azad Hussain, Rabia Zetoon, Reeha Iqbal
wiley   +1 more source

Fractal statistics [PDF]

Chaos, Solitons & Fractals, 2001
We consider the recent description of elementary particles in terms of Quantum Mechanical Kerr-Newman Black Holes, a description which provides a rationale for and at the same time reconciles the Bohm-hydrodynamical formulation on the one hand and the Nelsonian stochastiic formulation on the other.
openaire   +3 more sources

Synergistic Effect on Enhanced Oil Recovery in High Salinity Carbonate Reservoirs Using a Novel PEI‐Functionalized Carbon Nanotube Nanocomposite

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Enhancing oil recovery (EOR) in mature reservoirs is hindered by high interfacial tension (IFT) and oil‐wet rock formations, especially under harsh, high‐salinity conditions. This study aims to overcome these limitations by synthesizing a novel carbon nanotube nanocomposite covalently grafted with polyethylenimine and non‐covalently ...
Mohamed Abu Shuheil, Dilipkumar S. Patel, N. Beemkumar, Tariq Abdulkader Alrihaim, Dhirendra Nath Thatoi, Ripendeep Singh, Rohit Kumar, Parminder Singh, Ahmad Khalid   +8 more
wiley   +1 more source

Fractal-Based Multi-Criteria Feature Selection to Enhance Predictive Capability of AI-Driven Mineral Prospectivity Mapping

Fractal and Fractional
AI-driven mineral prospectivity mapping (MPM) is a valid and increasingly accepted tool for delineating the targets of mineral exploration, but it suffers from noisy and unrepresentative input features.
Tao Sun, Mei Feng, Wenbin Pu, Yue Liu, Fei Chen, Hongwei Zhang, Junqi Huang, Luting Mao, Zhiqiang Wang   +8 more
doaj   +1 more source

Advances in causal discovery methods for ecological time series

Biological Reviews, EarlyView.
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki, Masato Yamamichi, Yutaka Osada, Masayuki Ushio, Kohei Nakajima, Hiroshi Masuya, Shohei Shimizu   +6 more
wiley   +1 more source

What Makes A Business Ecosystem Circular? A Multilevel Review

Business Strategy and the Environment, EarlyView.
ABSTRACT Drawing on multilevel and complexity theories, this research identifies new and reframed core principles of circular business ecosystems (CBEs), thereby clarifying what makes a business ecosystem circular. Although CBEs are increasingly recognised as adaptive systems shaped by interdependencies and non‐linear interactions, how circularity ...
Irene Bubbola, Cinzia Battistella, Giovanna Attanasio   +2 more
wiley   +1 more source