Results 1 to 10 of about 3,851,324 (263)
Pheromone detection by Raman spectroscopy
LASE, 2022 Raman spectroscopy has allowed for the acquisition of Raman signatures for pheromone components, or chemicals, which are found in the pheromones of crop key pests: (Z, Z)-11,13-Hexadecadienal, (Z, Z, Z, Z, Z) and (3,6,9,12,15)- Tricosapentene for Naval ...
Sarah Sahota, A. Chang, T. Bond
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Uncertainty-Aware Prognosis via Deep Gaussian Process
IEEE Access, 2021 The task of predicting how long a certain industrial asset will be able to operate within its nominal specifications is called Remaining Useful Life (RUL) estimation. Efficient methods of performing this task promise to drastically transform the world of
Luca Biggio +4 more
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Analytically Guided Reinforcement Learning for Green It and Fluent Traffic
IEEE Access, 2022 This study investigates various methods for autonomous traffic signal control. We look into different types of control methods, including fixed time, adaptive, analytic, and reinforcement learning approaches. Machine learning approaches are compared with
Marcin Korecki, Dirk Helbing
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IEEE Access, 2023 This paper investigates the Electromagnetic Interference (EMI) noise signature of three-phase three-level (3L) Triangular Current Mode (TCM)-modulated grid-tied Photovoltaic (PV) inverters that achieve full Zero Voltage Switching (ZVS) and thus minimal ...
Spasoje Miric +5 more
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New explainability method for BERT-based model in fake news detection
Scientific Reports, 2021 The ubiquity of social media and their deep integration in the contemporary society has granted new ways to interact, exchange information, form groups, or earn money—all on a scale never seen before.
Mateusz Szczepański +3 more
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Design and Implementation of a Lightweight Deep CNN-Based Plant Biometric Authentication System
IEEE Access, 2023 The wide application of personal biometric information such as face, fingerprint, iris, and voiceprint has simultaneously created many new ethical and legal issues, including the fraudulent use of biometrics.
Wenqing Yan, Jingwei Tang, Sandro Stucki
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IEEE Access, 2023 Data-driven and machine-learning-based methods are increasingly used in attempts to master the challenges of the world. But are they really the best approaches to manage complex dynamical systems?
Marcin Korecki +2 more
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Casper: Accelerating Stencil Computations Using Near-Cache Processing
IEEE Access, 2023 Stencil computations are commonly used in a wide variety of scientific applications, ranging from large-scale weather prediction to solving partial differential equations.
Alain Denzler +6 more
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Evaluation of Current Control Structures for Multi-Phase Interleaved DC-DC Converters
IEEE Access, 2021 Several current control concepts for non-isolated interleaved DC-DC converters are systematically evaluated in terms of their dynamic and steady state performance, based on defined performance evaluation indicators.
Georgios Tsolaridis +2 more
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Cross-Correlation Stacking for Robust Offset Tracking Using SAR Image Time-Series
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Offset tracking is widely applied for measuring ground surface displacements from remote sensing data. Displacements are determined by the offset where two image templates match best. The match can be evaluated with normalized cross correlation (NCC), in
Shiyi Li, Silvan Leinss, Irena Hajnsek
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