This paper analyzes the performance gain of rigid body localization (RBL) using time-of-arrival (TOA) and angle-of-arrival (AOA) measurements, when introducing non-regenerative relays having unknown positions. Althoug...
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Existing spectrum sensing techniques for Time Division Duplex-Long Term Evolution (TDD-LTE) signals primarily focus on large time-scale signals. However, the spectrum holes that exist in the small time-scale special s...
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In integrated sensing and communication (ISAC) systems, communication signals can easily be wiretapped by targets (potential eavesdroppers) or detected by wardens. Different from previous works that address a single s...
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Defect classification in the aviation industry plays a crucial role in manufacturing. However, in non-standardized captured scenes, the object to be inspected and the background are often complex and variable, e.g., l...
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Discontinuous reception (DRX) is one of the important power-saving mechanisms for 5G/B5G cognitive radio systems. Conventional DRX methods improve the power-saving performance at the cost of data transmission delay. T...
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Diabetes mellitus is a chronic disease that affects global health with an increasing prevalence rate. Early prediction can provide opportunities for earlier intervention and better management of health conditions. Thi...
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The moving source localization is very sensitive to the knowledge of sensor locations. In this paper, we propose a two-stage closed-form method for locating a moving source by using Time Difference of Arrival (TDOA) a...
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作者:
Chaudhri, Shiv Nath
Faculty of Engineering & Technology Department of Computer Science and Design Wardha India
Organoid intelligence (OI), the next paradigm of intelligence, draws inspiration from the biological learning of organs. On the other hand, artificial intelligence (AI) draws its inspiration only from the cognitive pr...
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In this paper, we address the underwater localization problem with isogradient sound speed profile (SSP) using time-of-arrival (TOA) measurements. The sound speed is related to the unknown source depth in the isogradi...
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This study addresses the challenge of selecting research topics for undergraduate students, focusing on computerscience, by evaluating a recommendation model based on the k-Nearest Neighbor algorithm (kNN). The objec...
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