Results 81 to 90 of about 87,896 (215)

Regional to large‐scale mechanisms controlling intraseasonal variability of low‐level clouds in Western Equatorial Africa

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
(a) Location map with the 26 stations as yellow squares superimposed on the topography in metres above sea level. Correlations between intraseasonal variability of the stratiform cloud cover over Western Equatorial Africa (WEAisv) and (b) observed low‐cloud fraction (LCF), (c) ERA5 LCF at the same location as stations with the same missing entries, (d)
Vincent Moron   +4 more
wiley   +1 more source

Novel Calibration Strategy for Kalman Filter‐Based Measurement Fusion Operation to Enhance Aging Monitoring

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT This study introduces a novel calibration strategy for the linear Kalman filter (LKF) fusion application in condition monitoring, specifically utilizing accelerated aging data. Unlike the existing literature that often focuses on complex nonlinear Kalman filter variants, this research delves into the calibration of LKF.
Emre Genis, Duygu Bayram Kara
wiley   +1 more source

Homothetic Tube‐Based Adaptive MPC

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This article presents a homothetic tube‐based adaptive model predictive control strategy to handle discrete‐time linear time‐invariant (LTI) systems with parametric uncertainties and hard constraints imposed on the states and the control inputs.
Abhishek Dhar   +2 more
wiley   +1 more source

A Fully Automated Robotic System for Tuning Optimization of RF Cavity Filter

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT The advancements in radar systems, electronic warfare, and telecommunication industries have generated a substantial demand for microwave filters. Among these, cavity filters have conventionally served in transmitters and receivers, facilitating the passage of desired signals in the passband while effectively rejecting harmonics and spurious ...
Yarkin Yigit, Engin Afacan
wiley   +1 more source

An intelligent algorithm to fast and accurately detect chaotic correlation dimension

open access: yesRiver, EarlyView.
Abstract Detecting the complexity of natural systems, such as hydrological systems, can help improve our understanding of complex interactions and feedback between variables in these systems. The correlation dimension method, as one of the most useful methods, has been applied in many studies to investigate the chaos and detect the intrinsic dimensions
Mengyan Shen   +3 more
wiley   +1 more source

A Systemic Reflection On Why Biology Is Best : E(s) ∞$$ \infty $$ mc2 Sentience, Consciousness and Transcendance?

open access: yesSystems Research and Behavioral Science, EarlyView.
ABSTRACT The short essay makes a case that a post biological world will be a devolution. Sentience is a relational process linked with the awe and wonder we experience in relation to one another and our shared habitat. The voiceless need to be protected by extending solidarity on the basis of sentience—a normative plea, but also on the basis of ...
J. J. McIntyre‐Mills
wiley   +1 more source

Interdisciplinary Approach to Monkeypox Prevention: Integrating Nanobiosensors, Nanovaccines, Artificial Intelligence, Visual Arts, and Social Sciences

open access: yesSmall Structures, EarlyView.
This illustration depicts a comprehensive strategy against monkeypox, showcasing its transmission, symptoms, and prevention. Centralized around nanomaterials and biosensors, it integrates early screening, Internet of Things, vaccination, and community involvement through collaboration among healthcare workers, scientists, researchers, social groups ...
Vishal Chaudhary   +3 more
wiley   +1 more source

Applications of Artificial Intelligence in Neurological Voice Disorders

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Neurological voice disorders, such as Parkinson's disease, laryngeal dystonia, and stroke‐induced dysarthria, significantly impact speech production and communication. Traditional diagnostic methods rely on subjective assessment, whereas artificial intelligence (AI) offers objective, noninvasive, and scalable solutions for voice analysis. This
Dongren Yao   +2 more
wiley   +1 more source

Combined Transcriptomic and Proteomic Forecast Analyses for Potential Biomarkers of Smoking‐Induced Benign and Malignant Transformation of Vocal Fold Lesions

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective Laryngeal dysplasia and Reinke's edema (RE) are common vocal fold lesions associated with smoking. While the former is cancer prone, most cases of the latter do not undergo malignant transformation. Therefore, we proposed identifying biomarkers of smoking‐induced benign‐malignant transformation of vocal fold lesions.
Yun‐Yi Liu, Pei‐Yun Zhuang
wiley   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma   +4 more
wiley   +1 more source

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