Results 71 to 80 of about 432 (243)
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 +6 more
wiley +1 more source
Vulcloud: Scalable and hybrid vulnerability detection in cloud computing [PDF]
, 2013 Vulnerability exploits will result in security breaches or violations of the system's security policy causing information leakage or economic losses. Although many detection methods such as static analysis, dynamic analysis and fuzz testing have been ...
Mutian Yang +9 more
core +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 +3 more
wiley +1 more source
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 +2 more
wiley +1 more source
FuSeBMC v4: Improving code coverage with smart seeds via BMC, fuzzing and static analysis [PDF]
Bounded model checking (BMC) and fuzzing techniques are among the most effective methods for detecting errors and security vulnerabilities in software.
Cordeiro, Lucas C.; id_orcid +3 more
core +4 more sources
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 +2 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 +7 more
wiley +1 more source
A Universal and Actionable Measure of Corporate Sustainability for Strategic Decision Making
Business Strategy and the Environment, EarlyView.ABSTRACT Managers require a universal, comparable, and decision‐useful measure of corporate sustainability that can reliably inform business strategy, yet such a tool remains absent in the literature and current practice. This paper introduces a comprehensive and operational metric—grounded in Goertz's Basic Framework for developing social science ...
Mariapia Pazienza +2 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study offers a forward‐looking assessment of sustainability indicator research in agribusiness by integrating bibliometric mapping with ARIMA‐based forecasting. Analysing 403 Scopus‐indexed articles, bibliographic‐coupling analysis identifies three contemporary thematic domains: Techno‐Managerial Sustainability, Systemic and ...
Marcelo Kratz Mendes +5 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Industry 5.0 has emerged to address the limitations of Industry 4.0 by emphasizing inclusive sustainability through environmentalism, human‐centricity, and resilience. However, its development faces barriers across technological, organizational, and social dimensions.
Mohammad Ali Beheshtinia +4 more
wiley +1 more source