Results 81 to 90 of about 17,595 (265)

Instrument Detection and Descriptive Gesture Segmentation on a Robotic Surgical Maneuvers Dataset

Applied Sciences
Large datasets play a crucial role in the progression of surgical robotics, facilitating advancements in the fields of surgical task recognition and automation.
Irene Rivas-Blanco, Carmen López-Casado, Juan M. Herrera-López, José Cabrera-Villa, Carlos J. Pérez-del-Pulgar   +4 more
doaj   +1 more source

A Strategy Cycle Nexus for Circular Economy and Industry 4.0 Integration: A Global Expert Perspective

Business Strategy and the Environment, EarlyView.
ABSTRACT The adoption of circular economy (CE) practices supported by Industry 4.0 (I4.0) technologies remains limited, despite their strong potential to enhance sustainable performance (SP). Organizations continue to face practical challenges in identifying effective strategies, enabling technologies, and implementation conditions.
Than'a Alsaoudi, Adolf Acquaye
wiley   +1 more source

Status and future of recombinant adeno‐associated virus vector manufacturing

Biotechnology Progress, EarlyView.
Abstract Sixty years of adeno‐associated virus (AAV) research illustrates a trajectory marked by basic science exploration, iterative innovation, persistent challenges, a number of clinical setbacks, as well as commercial therapeutic triumphs. This continual evolution has led to recombinant AAV (rAAV) becoming a cornerstone of modern gene therapy ...
Frank Agbogbo, David Dismuke
wiley   +1 more source

Novel Noninvasive Broad‐Spectrum Infrared Treatment of Ulcerative Colitis by Modulating T‐Cell Relocation

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A novel graphene‐based broad‐spectrum infrared (BSIR) device is developed for the noninvasive treatment of ulcerative colitis (UC). BSIR irradiation effectively alleviates colonic inflammation and accelerates mucosal recovery by inducing the systemic relocation of T lymphocytes to the spleen.
Siyu Chen, Jiangtao Zhao, Bohan Jia, Zhigang Ren, Ranran Sun, Liwen Liu, Ding Zhang, Yanqiu Fu, Jia Yu, Shen Shen, Fujun Miao, Zaimei Huang, Ruixia Guo, Peng Zhang, Zujiang Yu, Guosheng Shao   +15 more
wiley   +1 more source

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

Epilepsia, EarlyView.
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie, Arianna Damiani, Mahsa Khoshkhou, Luis A. Sanchez, Rachel J. Smith, Shruti H. Agashe, Jorge A. Gonzalez‐Martinez, Jennifer Hopp, Adam S. Charles, Sridevi V. Sarma, Joon‐Yi Kang   +10 more
wiley   +1 more source

A Review of Overcurrent Protection in Smart Grids Under Cyber‐Physical Threats With a Cyber‐Physical Evaluation Framework

Energy Science &Engineering, EarlyView.
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali, Anas AlMajali, Naser Naily, Hassen Loukil, Salah AbuGhalyon, William Holderbaum, Abdelaziz Salah Saidi   +6 more
wiley   +1 more source

A Framework for Developing Cyber Physical Systems

International Conferences on Software Engineering and Knowledge Engineering, 2017
Cyber-physical systems (CPSs) are pervasive in our daily life from mobile phones to auto-driving cars. CPSs are inherently complex due to their sophisticated behaviors and thus difficult to build. In this paper, we propose a framework to develop CPSs based on a model-driven approach with quality assurance throughout the development process.
Xudong He, Zhijiang Dong, Heng Yin 0001, Yujian Fu   +3 more
openaire   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source

A Comprehensive Review of AI‐Powered Energy Systems

Energy Science &Engineering, EarlyView.
The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo, Pedram Asef, Masoumeh Javadi, Mousa Marzband, Shady S. Refaat, Muhyaddin Rawa   +5 more
wiley   +1 more source

Managing Virtual Work: An Integrative Framework for Human Resource Management

Human Resource Management, EarlyView.
ABSTRACT Virtual work has become a defining feature of contemporary organizations, yet Human Resource Management (HRM) scholarship lacks an integrated understanding of how it should be managed. We address this disconnect by shifting the focus from individual and team experiences to the organizational management of virtual work through HRM.
Tobias Blay, Fabian Jintae Froese, Sumita Raghuram, Bradford S. Bell, Agnes Bäker   +4 more
wiley   +1 more source