The spread of a life-threatening disease such as cancer presents a significant threat to the entire global population. The disease in question caused 10 million deaths worldwide in 2020, which has motivated us to expl...
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All web applications remember the ultimate goal of storage services, Distributed Denial of Service (DDoS), to achieve high security from various attacks. The client-server application reduces fees and runs the elite r...
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This paper demonstrates the novel approach of sub-micron-thick InGaAs broadband photodetectors(PDs)designed for high-resolution imaging from the visible to short-wavelength infrared(SWIR)*** approaches encounter chall...
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This paper demonstrates the novel approach of sub-micron-thick InGaAs broadband photodetectors(PDs)designed for high-resolution imaging from the visible to short-wavelength infrared(SWIR)*** approaches encounter challenges such as low resolution and crosstalk issues caused by a thick absorption layer(AL).Therefore,we propose a guided-mode resonance(GMR)structure to enhance the quantum efficiency(QE)of the InGaAs PDs in the SWIR region with only sub-micron-thick *** TiOx/Au-based GMR structure compensates for the reduced AL thickness,achieving a remarkably high QE(>70%)from 400 to 1700 nm with only a 0.98μm AL InGaAs PD(defined as 1μm AL PD).This represents a reduction in thickness by at least 2.5 times compared to previous results while maintaining a high ***,the rapid transit time is highly expected to result in decreased electrical *** effectiveness of the GMR structure is evident in its ability to sustain QE even with a reduced AL thickness,simultaneously enhancing the transit *** breakthrough offers a viable solution for high-resolution and low-noise broadband image sensors.
Algorithmic trading, utilizing reinforcement learning, has attracted significant attention for its adaptability and potential in present financial markets. This research combines Deep Deterministic Policy Gradients (D...
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Acute Lymphoblastic Leukemia (ALL) is a fast progressing cancer that affects white blood cells and requires precise and timely diagnosis for treatment. Current methods of diagnosis are manual and based on histopatholo...
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To address issues of imprecise transmission fusion and unsmooth transitions in regions with varying depths of field, as well as color distortion in large white areas after dehazing, this paper proposes a dehazing meth...
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In the modern era, robotic engineering has transformed education, training, and skill development, particularly in the field of surgery. Simulation training offers a safe and controlled environment for surgeons to lea...
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This paper introduces a blockchain-based non-fungible token (NFT) for any type of certificate, such as patents, international and national conferences, poems, contents of social media, etc. These documents may be alte...
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Recent advancements in artificial intelligence (AI) have significantly enhanced the use of computer vision, machine learning, natural language processing, augmented reality, and deep learning in surgical video analysi...
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Blood vessel segmentation is the process of identifying and describing blood vessels from retinal pictures, which is required for quantitative analysis and anomaly detection. However, the accuracy and efficiency of th...
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