Alzheimer's disease, the most common dementia, involves brain damage. Alzheimer's starts with mild symptoms and worsens over time, making it difficult to treat. Early detection can prevent disease progression ...
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In recent times, the swift evolution of mobile internet technology and the ubiquitous presence of diverse applications have made e-commerce and social media platforms integral to everyday life. These platforms offer a...
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In the task of public opinion sentiment analysis, short-text sentiment analysis and public opinion network sentiment evolution models play a crucial role. This paper provides an in-depth discussion of public opinion s...
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The number of reported instances of cyber abuse has also increased in tandem with the growth in the quantity of people that are regularly using the internet. Users' online freedom and privacy are jeopardized by su...
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According to statistics, 8% of the population cannot interpret sign language during conversations with deaf individuals. This creates a pressing need for sign language communication with many finding it challenging to...
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ISBN:
(纸本)9798350372748
According to statistics, 8% of the population cannot interpret sign language during conversations with deaf individuals. This creates a pressing need for sign language communication with many finding it challenging to communicate effectively without the assistance of an interpreter. The goal is to recognize a wide range of sign language variations and produce corresponding voice outputs facilitating seamless communication for deaf and hard-of-hearing people. This research work deals with the basic understanding of the problem statement and analyses the various techniques present in the existing era of sign language translation. Our objective is to recognize a diverse array of sign language variations and generate corresponding voice outputs in real-time, thereby fostering effective communication for the deaf and hard-of-hearing community. Through a comprehensive analysis of existing techniques in sign language translation, the necessity for advanced computational solutions capable of accommodating the intricacies of sign language gestures and expressions has been determined. The proposed methodology utilizes R-CNN, a state-of-the-art object detection framework, which is known for its accuracy in identifying objects present within images. By integrating R-CNN to recognize and interpret sign language gestures, this study intends to achieve robust performance across a spectrum of sign language variations. A significant aspect of this research study lies in its delineation of the computing environment requisite for implementing real-time sign language translation. By synthesizing theoretical frameworks with practical considerations, this study offers a comprehensive analysis for developing and deploying real-time sign language translation solutions. The proposed implementation has resulted in an accuracy of 92.25%. This research study significantly describes the computing environment and factors to be included to implement the same as a real-time application for transla
A complex problem, oral cancer affects people all over the world. In India, for example, eighth most common type of cancer and takes 130,000 lives yearly. Diagnoses can be challenging because it can appear anywhere in...
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The extremely low-bit energy characteristic of the adiabatic quantum-flux-parametron (AQFP) circuit makes it a promising candidate for highly energy-efficient computing systems. However, in contrast with conventional ...
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Simultaneous lightwave information and power transfer (SLIPT), co-existing with optical wireless communication,holds an enormous potential to provide continuous charging to remote Internet of Things (IoT) devices whil...
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Simultaneous lightwave information and power transfer (SLIPT), co-existing with optical wireless communication,holds an enormous potential to provide continuous charging to remote Internet of Things (IoT) devices while ensuringconnectivity. Combining SLIPT with an omnidirectional receiver, we can leverage a higher power budget whilemaintaining a stable connection, a major challenge for optical wireless communication systems. Here, we design amultiplexed SLIPT-based system comprising an array of photodetectors (PDs) arranged in a 3 × 3 configuration. Thesystem enables decoding information from multiple light beams while simultaneously harvesting energy. The PDs canswiftly switch between photoconductive and photovoltaic modes to maximize information transfer rates and provideon-demand energy harvesting. Additionally, we investigated the ability to decode information and harvest energywith a particular quadrant set of PDs from the array, allowing beam tracking and spatial diversity. The design wasexplored in a smaller version for higher data rates and a bigger one for higher power harvesting. We report a selfpoweringdevice that can achieve a gross data rate of 25.7 Mbps from a single-input single-output (SISO) and an 85.2Mbps net data rate in a multiple-input multiple-output (MIMO) configuration. Under a standard AMT1.5 illumination,the device can harvest up to 87.33 mW, around twice the power needed to maintain the entire system. Our workpaves the way for deploying autonomous IoT devices in harsh environments and their potential use in spaceapplications.
Recently, neural network-based inverse models have been used for multi-objective optimization. The basic idea is to approximate the mapping from the Pareto front to the Pareto set. In general, inverse modeling from a ...
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Telemedicine, the remote delivery of medical treatment via digital technology has become essential, particularly for rural and disadvantaged populations. The benefits of telemedicine are reviewed in this research, inc...
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