Quantum Annealing (QA) was originally intended for accelerating the solution of combinatorial optimization tasks that have natural encodings as Ising models. However, recent experiments on QA hardware platforms have d...
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Optimization underpins many of the challenges that science and technology face on a daily basis. Recent years have witnessed a major shift from traditional optimization paradigms grounded on batch algorithms for mediu...
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In this study, an automated three dimensional (3D) deep segmentation approach for detecting gliomas in 3D pre-operative MRI scans is proposed. Then, a classification algorithm based on random forests, for survival pre...
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In conducting research and teaching in fields related to unmanned aerial vehicles (UAVs), it is particularly important to select a universal, safe, open research platform and tools for rapid prototyping. Ready-to-use,...
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ISBN:
(数字)9781728142784
ISBN:
(纸本)9781728142791
In conducting research and teaching in fields related to unmanned aerial vehicles (UAVs), it is particularly important to select a universal, safe, open research platform and tools for rapid prototyping. Ready-to-use, low-cost micro-class UAVs such as Bebop 2 are successfully used in that regard. This article presents how to use the potential of this flying robot with Robot Operating System (ROS). The most important software solutions for the developed experimental testbed FlyBebop are characterized here. Their capabilities in research and education are exemplified using three distinct cases: 1) research results on the method of optimal, in-flight, iterative self-tuning of UAV position controller parameters (based only on current measurements), 2) the use of the reinforcement learning method in the autonomous landing of a single drone on a moving vehicle, 3) planning the movement of UAVs for autonomous video recording along the planned path in the arrangement: "cameraman drone" and "lighting technician drones".
Spin-phonon interaction is an important channel for spin and energy relaxation in magnetic insulators. Understanding this interaction is critical for developing magnetic insulator-based spintronic devices. Quantifying...
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Today's multiagent systems have grown too complex to rely on centralized controllers, prompting increasing interest in the design of distributed algorithms. In this respect, game theory has emerged as a valuable t...
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Quantum error correction (QEC) is crucial for numerous quantum applications, including fault-tolerant quantum computation, which is of great scientific and industrial interest. Among various QEC paradigms, topological...
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Brain death is an irreversible event for the brain that the brain and brainstem functions are destroyed. Conventional methods of diagnosing and evaluating brain death are time-consuming, costly and in many cases dange...
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ISBN:
(数字)9781728172965
ISBN:
(纸本)9781728172972
Brain death is an irreversible event for the brain that the brain and brainstem functions are destroyed. Conventional methods of diagnosing and evaluating brain death are time-consuming, costly and in many cases dangerous. Alternative monitoring systems also have several limitations. The functional near-infrared spectroscopy (fNIRS) can track oxyhemoglobin and deoxyhemoglobin changes of the tissue using scattering and light absorption properties of the brain and blood components. The spatially resolved spectroscopy (SRS) method can additionally measure tissue oxygen index (TOI). We have collected data from several brain death patients using our non-invasive fNIRS portable system. Initially, we have observed that in brain dead patients, oxyhemoglobin and deoxyhemoglobin changes are quasiperiodic. Moreover, their TOI change has a very low standard deviation and was quasi-periodic. These results can be biomarkers for diagnosis, evaluation, and validation of brain death.
This article presents a preliminary neural network analysis of the compressive behaviour of aluminium open-cell sponges and answers the question of whether this phenomenon can be modelled using artificial intelligence...
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Computational models of acoustic wave propagation are frequently used in transcranial ultrasound therapy, for example, to calculate the intracranial pressure field or to calculate phase delays to correct for skull dis...
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