This study demonstrates the utilization of Machine Learning (ML) for network slice prediction, enabling the optimization of resources for diverse network slices. Traditional methods for network slice prediction often ...
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In pursuit of energy-efficient optical interconnect,the silicon microring modulator(Si-MRM)has emerged as a pivotal device offering an ultra-compact footprint and capability of on-chip wavelength division multiplexing...
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In pursuit of energy-efficient optical interconnect,the silicon microring modulator(Si-MRM)has emerged as a pivotal device offering an ultra-compact footprint and capability of on-chip wavelength division multiplexing(WDM).This paper presents a 1×4 metal-oxide-semiconductor capacitor(MOSCAP)Si-MRM array gated by high-mobility titanium-doped indium oxide(ITiO),which was fabricated by combining Intel’s high-volume manufacturing process and the transparent conductive oxide(TCO)patterning with the university *** 1×4 Si-MRM array exhibits a high electro-optic(E-O)efficiency with V_(π)·L of 0.12 V·cm and achieves a modulation rate of(3×25+1×15)Gb/s with a measured bandwidth of 14 ***,it can perform on-chip WDM modulation at four equally spaced wavelengths without using thermal *** process compatibility between silicon photonics and TCO materials is verified by such an industry-university co-fabrication approach for the MOSCAP Si-MRM array and demonstrated enhanced performance from heterogeneous integration.
Nowcasting and forecasting solar irradiance are vital for the optimal prediction of grid-connected solar photovoltaic(PV)power *** plants face operational challenges and scheduling dispatch difficulties due to the flu...
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Nowcasting and forecasting solar irradiance are vital for the optimal prediction of grid-connected solar photovoltaic(PV)power *** plants face operational challenges and scheduling dispatch difficulties due to the fluctuating nature of their power *** the generation capacity within the electric grid increases,accurately predicting this output becomes increasingly essential,especially given the random and non-linear characteristics of solar irradiance under variable weather *** study presents a novel prediction method for solar irradiance,which is directly in correlation with PV power output,targeting both short-term and medium-term forecast *** proposed hybrid framework employs a fast trainable statistical learning technique based on the truncated-regularized kernel ridge regression *** proposed method excels in forecasting solar irradiance,especially during highly intermittent weather periods.A key strength of our model is the incorporation of multiple historical weather parameters as inputs to generate accurate predictions of future solar irradiance values in its scalable *** evaluated the performance of our model using data sets from both cloudy and sunny days in Seattle and Medford,USA and compared it against three forecasting models:persistence,modified 24-hour persistence and least *** on three widely accepted statistical performance metrics(root mean squared error,mean absolute error and coefficient of determination),our hybrid model demonstrated superior predictive accuracy in varying weather conditions and forecast horizons.
Inspired by the notorious StuxNet malware, this paper presents a unique and resilient architecture to address the imminent issue of identifying advanced threats within critical infrastructure networks. We use adversar...
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In recent years, Perovskites have been a very interesting breakthrough in the field of photovoltaics because of their excellent performance with easy and less complex synthesizability, and cost-effectiveness. This ins...
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In this paper, a half-mode substrate integrated waveguide (HMSIW) by using complementary omega slots to provide HMSIW Composite right/left handed (CRLH) Leaky wave antenna (LWA) is presented. Omega shaped slots provid...
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Due to the complex human movement and social behavior norm, robot reaching target point with collision-free in crowd safely and quickly is a challenging problem, which can be considered as human-robot interaction. In ...
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Synthetic Aperture Sonar (SAS) is one of the techniques used for underwater imaging, and in this paper, we use the range Doppler algorithm for SAS imaging and consider the position errors of sonar platforms in practic...
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Cervical cancer has been considered by WHO as one of the deadliest diseases for women because of its high mortality and morbidity rates. It was reported that cervical cancer accounts for around 12% of all types of can...
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The explosion of medical literature over the past decade has resulted in efficient and accurate techniques for text categorization to handle huge amount of data. This work combines ensemble learning methods with coupl...
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