The human community depends heavily on communication, and there are many different natural languages. Sign language is another language unique to the deaf and dumb human population. Due to the fact that most people ca...
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Ecological validity remains essential for generalizing scientific research into real-world applications. However, current methods for crowd emotion detection lack ecological validity due to limited diversity samples i...
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Commit classification for maintenance activities is of critical importance for both industry and academia. State-of-the-art approaches either treat code changes as plain text or rely on manually identified features. D...
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In the age of e-commerce, it is critical for companies to comprehend the thoughts and feelings of their customers in order to enhance their goods and services. A powerful method for deriving insights from consumer fee...
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Deep multimodal Learning is a subfield of machine learning that seeks to train artificial intelligence models to handle and discover relationships between various modalities in order to minimize reader bias and is mos...
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Automated detection of Alzheimer disease (AD) is evolving rapidly with the advent of artificial intelligence (AI). Machine learning and deep learning models. Detection of AD at an early stage provides advance planning...
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This paper introduces a novel data collection model called ConciseNet that leverages a cutting-edge data reconstruction method to significantly enhance signal reconstruction accuracy in wireless sensor networks (WSNs)...
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As for unmanned aircraft, the knowledge of the aircraft performance is directly related with the navigation, guidance, and control system programming. Therefore, the measured data in each phase of the flight must be s...
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As for unmanned aircraft, the knowledge of the aircraft performance is directly related with the navigation, guidance, and control system programming. Therefore, the measured data in each phase of the flight must be sufficiently precise to obtain a good characterization of *** article proposes new methods of sending information to ground, which make it possible to know the aircraft behavior accurately, and for this purpose, four contributions have been made for ALO(Avión Ligero de Observación, Spanish acronym for Light Observation Aircraft). Currently, the characterization is based on data obtained at ten samples per second, insufficient to acquire detailed knowledge of what happened during the whole flight of an aircraft. As a result of these contributions, many more samples per second of accelerations and angular velocities are obtained at the most critical moments of the flight, such as takeoff or landing. Among the improvements included are data compression techniques, providing references to locate the measured data in time and identifying labels of each parameter.
The use of Explainable Artificial Intelligence(XAI)models becomes increasingly important for making decisions in smart healthcare *** is to make sure that decisions are based on trustworthy algorithms and that healthc...
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The use of Explainable Artificial Intelligence(XAI)models becomes increasingly important for making decisions in smart healthcare *** is to make sure that decisions are based on trustworthy algorithms and that healthcare workers understand the decisions made by these *** models can potentially enhance interpretability and explainability in decision-making processes that rely on artificial ***,the intricate nature of the healthcare field necessitates the utilization of sophisticated models to classify cancer *** research presents an advanced investigation of XAI models to classify cancer *** describes the different levels of explainability and interpretability associated with XAI models and the challenges faced in deploying them in healthcare *** addition,this study proposes a novel framework for cancer image classification that incorporates XAI models with deep learning and advanced medical imaging *** proposed model integrates several techniques,including end-to-end explainable evaluation,rule-based explanation,and useradaptive *** proposed XAI reaches 97.72%accuracy,90.72%precision,93.72%recall,96.72%F1-score,9.55%FDR,9.66%FOR,and 91.18%*** will discuss the potential applications of the proposed XAI models in the smart healthcare *** will help ensure trust and accountability in AI-based decisions,which is essential for achieving a safe and reliable smart healthcare environment.
Ascribed to its wide sensing range,high sensitivity,and low stiff-ness to match target objects with complex 3D shapes,the stretch-able strain sensor has shown its promising applications in various fields,ranging from ...
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Ascribed to its wide sensing range,high sensitivity,and low stiff-ness to match target objects with complex 3D shapes,the stretch-able strain sensor has shown its promising applications in various fields,ranging from healthcare,bodynet,and intelligent traffic system,to the robotic *** paper presents a low-cost and straightforward fabrication technology for the stretchable strain fiber with the combined attributes of a wide sensing range,excep-tional linearity,and high *** hybrid composite consist-ing of carbon black and silicone is utilized as the functional material to respond to the external mechanical deformation due to the piezoresistive *** address the remarkable hysteresis of the CB-silicone composites,the latex tubes with excellent mechanical robustness and a considerable accessible tensile strain are intro-duced as the outer supporting *** injecting the conductive CB-silicone composite into these tubes,the stretchable strain fibers are successfully ***,the stretchable strain sensor exhibits linearity(R^(2)=0.9854)in a wide sensing range(0-400%)and remarkable durability even after the 2500 cycles under 100%***,the potential of this stretchable strain fiber as the wearable strain sensor and the realtime feedback is demonstrated by detecting the body motion and the expansion devices.
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