Android smart phones are often reported to suffer from sluggish user interactions due to poor interactivity. This is because the Linux kernel may incur perceptibly long response time to user interactive tasks. Particu...
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Machine learning (ML) models are used to mine inconspicuous information in big data. The model and data quality influence the performance of a ML model. However, modifying the ML model while measuring performance is i...
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ISBN:
(纸本)9781665480468
Machine learning (ML) models are used to mine inconspicuous information in big data. The model and data quality influence the performance of a ML model. However, modifying the ML model while measuring performance is impractical, and low-quality data causes biased model training. Therefore, improving the data quality is essential. Visual analytics systems supporting DQI (Data Quality Improvement) have been proposed in the past. However, in the studies, it is difficult for users to assess comprehensive data quality improvement methods for machine learning and to determine an appropriate data quality improvement process. In this paper, we propose a novel visual analytics system for managing data quality used in machine learning models.
This article is devoted to the determination of the fractal size of the damaged part of the human brain on the basis of images obtained from MRI (magnetic resonance imaging). There are various mathematical methods for...
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In a cloud computing system, virtual machines owned by different clients are co-hosted on a single physical machine. It is vital to isolate network performance between the clients for ensuring fair usage of the constr...
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In an era characterized by immersive content delivery experiences, the convergence of augmented reality (AR) and user behavior data stands out as a transformative synergy. This paper introduces “Emot Act AR,” an inn...
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ISBN:
(数字)9798350374490
ISBN:
(纸本)9798350374506
In an era characterized by immersive content delivery experiences, the convergence of augmented reality (AR) and user behavior data stands out as a transformative synergy. This paper introduces “Emot Act AR,” an innovative system intricately designed to dynamically tailor virtual content by user data. This framework incorporates user emotions and activities as intrinsic components. Through the utilization of sensing devices like camera and advanced AI models, the system dynamically customizes virtual elements, such as virtual flowers, in both static and dynamic settings. Additionally, the system utilizes user activity data to activate messaging avatars that encourage exercise.
Changes in household composition and the residential environment have had a considerable impact on the features of postal delivery regions in recent years, resulting in a large increase in the overall workload of dome...
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Conventional therapies for severe musculoskeletal and neurological injuries require lengthy recovery periods, which may result in residual disabilities. As an innovative rehabilitation approach, the combination of sof...
Conventional therapies for severe musculoskeletal and neurological injuries require lengthy recovery periods, which may result in residual disabilities. As an innovative rehabilitation approach, the combination of soft conducting hydrogels as an injectable tissue prosthesis with self-healing, stretchable bioelectronic devices offers a promising solution to expedite tissue repair and enhance functional restoration. This class of tissue prostheses can help address the critical limitations of traditional materials and devices by providing a minimally invasive approach to filling tissue defects and reconstructing the electrophysiological environment. The integration of an injectable tissue prosthesis with exoskeleton robotics in closed-loop systems enables tailored rehabilitation interventions that optimize motor function efficiency. Here we provide the step-by-step instructions for the development and characterization of injectable tissue-interfacing conductive hydrogels and soft self-healing, stretchable bioelectronic devices. We also describe how to establish a fully integrated closed-loop rehabilitation system and show its efficacy in a rat model of volumetric muscle loss. Using this approach, we have achieved accelerated tissue regeneration and improved myofiber regeneration in rats, underscoring the potential of this approach to improve rehabilitation strategies for severe injuries. The protocol is suitable for users with experience in biomaterials, devices and animal handling and requires 30 d to complete.
In today's world, indoor positioning systems(IPS) have become a fascinating research area. Accurate positioning of mobile robots in indoor environments remains challenging due to various positioning techniques and...
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In the present technological world,surveillance cameras generate an immense amount of video data from various sources,making its scrutiny tough for computer vision *** is difficult to search for anomalous events manua...
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In the present technological world,surveillance cameras generate an immense amount of video data from various sources,making its scrutiny tough for computer vision *** is difficult to search for anomalous events manually in thesemassive video records since they happen infrequently and with a low probability in real-world monitoring ***,intelligent surveillance is a requirement of the modern day,as it enables the automatic identification of normal and aberrant behavior using artificial intelligence and computer vision *** this article,we introduce an efficient Attention-based deep-learning approach for anomaly detection in surveillance video(ADSV).At the input of the ADSV,a shots boundary detection technique is used to segment prominent ***,The Lightweight ConvolutionNeuralNetwork(LWCNN)model receives the segmented frames to extract spatial and temporal information from the intermediate *** that,spatial and temporal features are learned using Long Short-Term Memory(LSTM)cells and Attention Network from a series of frames for each anomalous activity in a *** detect motion and action,the LWCNN received chronologically sorted ***,the anomaly activity in the video is identified using the proposed trained ADSV *** experiments are conducted on complex and challenging benchmark *** addition,the experimental results have been compared to state-ofthe-artmethodologies,and a significant improvement is attained,demonstrating the efficiency of our ADSV method.
Numerous interconnected small embedded systems, such as Internet of Things (IoT) devices, are pervasive in our daily lives;however, their security lags behind. In particular, firmware vulnerabilities in low-level infr...
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