This paper presents a compact planar ultrawideband (UWB) band-pass filter (BPF). Initially, it employs a compact BPF with a reversible notched band to reject unwanted signals. The second phase entails determining and ...
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The recognition of sign language has significant importance as an application that addresses the communication challenges faced by those within the Deaf and hard-of-hearing populations. This study introduces a methodo...
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The need for intelligent traffic management solutions is crucial in the rapidly evolving fields of autonomous traffic control and navigation systems, particularly for minimizing traffic accidents and ensuring the effi...
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Intelligent reflecting surfaces (IRS) that can dynamically control the phase of radio waves and reflect them are attracting attention to realize non line-of-sight communication in the high-frequency band. Channel stat...
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Intelligent Reflecting Surfaces (IRS) is attracting attention for wireless communications at high-frequency band. IRS can control radio propagation by reflecting radio waves and shifting their phase. As one of the met...
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Particle filtering is a Bayesian technique used for tracking moving targets in nonlinear dynamic systems. However, the resampling step in this filter is computationally intensive, limiting its application in real-time...
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The number of Mental-health help seekers are on rise over recent years, but the medical practitioners are limited due to which the healthcare system is heavily loaded and thereby the outcome is not promising. Advanced...
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ISBN:
(纸本)9798350365887
The number of Mental-health help seekers are on rise over recent years, but the medical practitioners are limited due to which the healthcare system is heavily loaded and thereby the outcome is not promising. Advanced AI Technology is expected to ease this problem, however completely relying on the tools is reported to not work with the help seekers. Hence technology to assist help seekers and allow the healthcare system to screen the needy ones from the large pool of distress candidates should make the system efficient a nd effective.H owever for establishing the AI supportive system, two challenges exists: one is the large pool of dataset with diversity, and other is the AI model to respond to a context-aware situations. Expecting large dataset for training model from medical community needs further infrastructure support to make it digitally available with embedded annotations. Relying patiently for the dataset will miss the opportunity to serve the distress patients. Hence synthetic dataset generation and its validation from medical experts is an alternative for training robust and reliable model. Besides, context-aware curriculum inspired AI based summarizer model is found appropriate to adopt for this use-case where relevant features meant for diagnosing the problem is extracted from the improvised input text. The proposed curriculum trained AI model helps in transforming the improvised text inputs fed from the distress individuals to a summarized version representing domain expert form, embedded with symptoms related features for further classification. The synthetic data-set g eneration through OpenAI's GPT-40 models and Nemotron models are further evaluated with BERT based classifier m odels a nd curriculum based AI model. The training of the classifier m odels are also evaluated for synthetic and real-world dataset, which was scrapped from Reddit forum. Around 800 stream of real-world posts were evaluated from the medical experts and their findings related
This paper analyzes the passband shift of a microstrip line interdigital bandpass filter as a function of the position and diameter of the via holes. It was found that the passband shifted to a lower frequency range w...
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This article proposed a broadband oval-ring slot CP (circularly polarized) antenna. This oval-ring slot antenna was fed by a 50-ohm CPW (coplanar waveguide). The antenna size is 72 mm × 68 mm. The antenna operate...
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Speech recognition plays a pivotal role in the realm of natural language processing that deals in converting the language into the written text, providing human-computer interaction and enables us to use it widely for...
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