Results 81 to 90 of about 585 (260)

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

3D‐Printed Shark‐Inspired Soft–Hard Hybrid Underwater Robot With Buoyancy Control and Onboard Vision

Advanced Intelligent Systems, EarlyView.
A fully self‐contained shark‐inspired underwater robot is developed using 3D‐printed soft–hard hybrid structures, servo‐driven propulsion, and pump‐based buoyancy control. The platform achieves three‐dimensional locomotion and onboard vision‐based target tracking, offering a reproducible and accessible framework for biomimetic underwater robot research.
Shotaro Saito, Byeongwook Jo, Minghao Nie, Shoji Takeuchi   +3 more
wiley   +1 more source

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

Diabetic Retinopathy Classification With Convolutional Neural Networks Designed by the Fuzzy Grey Wolf Optimizer With Parameter Adaptation

AI &Innovation, EarlyView.
ABSTRACT The detection and classification of diseases have become a field of interest for artificial intelligence in recent years, where the development of methods and models that allow support for specialists in different health fields has allowed early detection of diseases and the provision of timely treatment to patients.
Rodrigo Cordero‐Martínez, Daniela Sánchez, Patricia Melin   +2 more
wiley   +1 more source

The role of venture‐financed startups in innovation for US agriculture

American Journal of Agricultural Economics, EarlyView.
Abstract To evaluate the role played by startup companies in the innovation ecosystem of US agriculture, we compile a unique dataset of 6024 new entrants founded 1987–2019 that details their financing lifecycles, annual economic performance, and patenting activities.
Gregory D. Graff, Charles A. W. de Grazia, Nicholas E. Rada   +2 more
wiley   +1 more source

Expectations and Reality: The Lived Experiences of Australians With Psychosocial Disability Within the NDIS

Australian Journal of Social Issues, EarlyView.
ABSTRACT While Australia's National Disability Insurance Scheme (NDIS) was founded on principles of choice and control, for people with significant mental health challenges (what the NDIS calls ‘psychosocial disability’) these ideals often remain elusive. Support systems continue to be fractured and in the context of ongoing policy reforms, it is vital
Joel Hollier, Jennifer Smith‐Merry
wiley   +1 more source

Heat Transfer Fluids as Co‐Diluents in Localized High‐Concentration Electrolytes for High‐Rate Lithium Metal Batteries With Enhanced Safety

Angewandte Chemie International Edition, EarlyView.
Two fluorinated ethers, commonly used as heat‐transfer fluids, are explored as co‐diluents in localized high‐concentration electrolytes (LHCEs) for lithium metal‐based batteries. The best‐performing ternary diluent blend boosts ion mobility and cuts overvoltages, thereby improving Coulombic efficiency and cycle life at ≥1 mA cm−2 in zero‐excess pouch ...
Dominik Weintz, Adil Aboobacker, Andrew Dopilka, Felix Pfeiffer, Anne Hockmann, Uta Rodehorst, Christian Wölke, Monika Schönhoff, Robert Kostecki, Diddo Diddens, Martin Winter, Isidora Cekic‐Laskovic   +11 more
wiley   +1 more source

Research on Diaphragm Pump Fault Diagnosis Method Based on Res‐DCB‐Net

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Nonstationary pressure pulsation signals of diaphragm pumps contain strong background noise and coupled characteristics. This makes it challenging to extract incipient fault features and to decouple faults with similar physical mechanisms. To address these limitations, this paper proposes a spatiotemporal fault diagnosis model named Res‐DCB ...
Jiahui Wang, Kaili Zhang, Yongxing Song, Zhaoxin Ma, Sitong Guan, Rongwang Chai, Kexiang Ceng, Jingting Liu   +7 more
wiley   +1 more source

A High-Acceptance-Rate VxWorks Fuzzing Framework Based on Protocol Feature Fusion and Memory Extraction

Future Internet
With the widespread application of Internet of Things (IoT) devices, the security of embedded systems faces severe challenges. As an embedded operating system widely used in critical mission scenarios, the security of the TCP stack in VxWorks directly ...
Yichuan Wang, Jiazhao Han, Xi Deng, Xinhong Hei   +3 more
doaj   +1 more source

Property Based And Fuzz Testing in C++

Journal of Artificial Intelligence, Machine Learning and Data Science
Testing code is an essential practice for reliability and correctness of software systems. Traditionally testing, also known as example-based testing requires developers to think of edge cases where system may produce erroneous results and side effects.
openaire   +2 more sources