Results 41 to 50 of about 2,878 (181)
Reconstruction of Neutron Spectra Using Silicon Carbide Detectors in Monoenergetic Fields with Machine Learning Approach [PDF]
Recent advancements in machine learning have shown significant promise in nuclear applications, particularly in optimizing reactor operations, core design, and improving neutron spectroscopy techniques.
Belfiore Enrica +9 more
doaj +1 more source
A Survey on non-DTN and DTN Geographic based Protocols for VANETS [PDF]
Vehicular Ad-hoc Network (VANET) is still a recent topology in wireless networks. It is not far different from Mobile Ad-hoc Network (MANET) except VANET is making the benefits of vehicles instead of mobiles. However; the high speed of the vehicles, the rapidly change of VANET topology, and the city environment characteristics, has become today’s ...
Radityo Anggoro +2 more
openaire +1 more source
Robust DOA Estimation in Satellite Systems in Presence of Coherent Signals Subject to Low SNR
Signal source number detection is an essential issue for the direction of arrival (DOA) estimation in satellite communication systems. The performances of conventional and deep-learning-based signal source number detection methods will deteriorate when ...
Yunfeng Li +5 more
doaj +1 more source
DTN-COMET: A Comprehensive Operational Metrics Evaluation Toolkit for DTN
Delay- and Disruption-tolerant Networking (DTN) is essential for communication in challenging environments with intermittent connectivity, long delays, and disruptions. Ensuring high performance in these types of networks is crucial because windows for data transmission are sparse and often short.
Tobias Nöthlich, Felix Walter
openaire +2 more sources
Pheromone trap use for monitoring Striacosta albicosta in dry edible beans was evaluated across multiple trap designs, lure replacement intervals, and insecticide timings. Bucket traps captured the most moths, yet trap counts poorly predicted crop damage.
Jeffrey D. Cluever +3 more
wiley +1 more source
Internet of Things (IoT) is witnessing an increasing range of application domains (industry 4.0, eHealth, smart city, etc.). Meanwhile, IoT is still facing communication challenges because of limited capabilities in computing, storage and energy ...
Selma Bounsiar +4 more
doaj +1 more source
Incentive-aware routing in DTNs [PDF]
Disruption tolerant networks (DTNs) are a class of networks in which no contemporaneous path may exist between the source and destination at a given time. In such a network, routing takes place with the help of relay nodes and in a store-and-forward fashion. If the nodes in a DTN are controlled by rational entities, such as people or organizations, the
Upendra Shevade +3 more
openaire +1 more source
ABSTRACT Background and Aims The polymerization of deoxygenated hemoglobin S, resulting from a genetic mutation in sickle cell disease (SCD), leads to damage in multiple organs, including renal, cardiopulmonary, and cerebrovascular systems. The liver is also commonly affected, resulting in “sickle cell liver disease,” which may lead to progressive ...
Josué Louokdom Simo +6 more
wiley +1 more source
Disruption-Tolerant Networks (DTN) são uma evolução das Mobile Adhoc Network (MANET) onde DTN trabalham em cenários cujos nós estão esparsamente distribuídos, com baixa densidade, cujas conexões são intermitentes e onde uma infraestrutura fim-a-fim não ...
Davi Marinho de A Falcão +2 more
doaj
Stable factorization of the Calderón problem via the Born approximation
Abstract In this article, we prove the existence of the Born approximation in the context of the radial Calderón problem for Schrödinger operators. The Born approximation naturally appears as the linear component of a factorization of the Calderón problem; we show that the nonlinear part, obtaining the potential from the Born approximation, enjoys ...
Thierry Daudé +3 more
wiley +1 more source

