Sharma, Fu, and Ansari et al. developed a tool for converting plain-text instructions into photonic circuit designs with the ...
Abstract: To enhance the multi-target path planning and tracking performance of Unmanned Surface Vehicles (USVs), a combined control strategy integrating the Serret-Frenet Line-of-Sight (SFLOS) ...
Abstract: The field-programmable gate array (FPGA) offers an effective solution to meet the high-performance requirements of real-time digital signal processors. IP cores developed on FPGAs benefit ...
Abstract: Bipolar-CMOS-DMOS (BCD) technologies enable applications of high industrial interest, whereby high-voltage and highpower circuits are combined with high-density digital logic on a single die ...
Abstract: Spiking Neural Networks (SNNs), due to their unique spike-based inference mechanism, offer low power consumption and biological plausibility. As a fundamental technology for various ...
Abstract: This paper introduces the Mobile Client Interface (MCI), an Android application, that grants remote access and experimentation with the Networked Control System Laboratory (NCSLab) resources ...
Why it's essential to combine sign-off accuracy, iterative feedback, and intelligent automation in complex designs.
Abstract: Many advanced techniques efficiently harvest the global maximum power (GMP) of the photovoltaic (PV) system, including machine learning techniques and metaheuristic algorithms based maximum ...
Abstract: The rapid advancements in artificial intelligence (AI) have revolutionized industries such as healthcare, finance, and education. However, these advancements have also intensified ethical ...
Abstract: Feedback active noise control (ANC) systems are effective in reducing predictable noise, e.g. periodic, narrowband and colored noise. There are still few studies on the theoretical analysis ...
Abstract: This paper presents a comprehensive performance analysis of various machine learning algorithms for the prediction of thyroid disease, considering both binary and multi-class classification ...
Abstract: This examine aimed to discover biomarkers associated to precise lung diseases from gene expression statistics thru the use of prediction analysis algorithms. To this end, the authors ...
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