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Toplam kayıt 686, listelenen: 241-250
A distributed relative localization approach for air-ground robot formations with onboard sensing
(PERGAMON-ELSEVIER SCIENCE, 2023)
In a multi-robot system, diversity in the sensing and motion models of robotic entities can improve the overall performance. While such heterogeneous systems offer peculiar advantages in terms of robustness and resiliency, ...
Boosting the Ceramics with In Situ MOF- Derived Nanocarbons
(AMER CHEMICAL SOC, 2023)
Metal-organic framework (MOF)-derived nano-carbons have emerged as promising materials for energy and environmental applications owing to their high surface area, structural and chemical tunability, and hierarchical porosity. ...
NeRNA: A negative data generation framework for machine learning applications of noncoding RNAs
(PERGAMON-ELSEVIER SCIENCE, 2023)
Many supervised machine learning based noncoding RNA (ncRNA) analysis methods have been developed to
classify and identify novel sequences. During such analysis, the positive learning datasets usually consist of
known ...
RF MEMS variable attenuators with improved dB-linearity
(SPRINGER HEIDELBERG, 2023)
A variable attenuator is one of the essential components in radio frequency (RF) systems, such as automatic gain control amplifiers and full-duplex systems. Variable attenuators based on microelectromechanical systems ...
Determination of stress-strain relationship based on alkali activator ratios in geopolymer concretes and development of empirical formulations
(ELSEVIER SCIENCE INC, 2023)
Fly ash-based geopolymer has recently gained attention of researchers due to its potential application, as well as
being an alternative binder with low emissions compared to ordinary Portland cement (OPC) in concrete ...
Green environment in the EU countries: The role of financial inclusion, natural resources and energy intensity
(ELSEVIER, 2023)
The European Union pursues the European Green Deal strategy as well as Sustainable Development Goals, the main target of which is to become a carbon-neutral continent by 2050. Hence, a lot of environmental challenges need ...
Machine learning approaches for underwater sensor network parameter prediction
(ELSEVIER, 2023)
Underwater Acoustic Sensor Networks (UASNs) have recently attracted scientists due to its wide range of real -world applications. However, there are design challenges in UASNs, such as limited network lifetime and low ...
Monitoring and verification of micro-strain generated inside the laminate subjected to thermal loading through fiber bragg grating sensors and classical laminate theory
(WILEY, 2023)
Fiber Bragg Grating (FBG) sensors possess enormous potential for the cure monitoring and integrity assessment of Carbon Fiber Reinforced Polymer (CFRP) composites. These sensors can be embedded inside the structure to ...
Taking advantage of a diverse set of efficient production schedules: A two-step approach for scheduling with side concerns
(PERGAMON-ELSEVIER SCIENCE, 2013)
In many practical scheduling problems, the concerns of the decision-maker may not be all known in
advance and therefore may not be included in the initial problem definition as an objective function
and/or as constraints. ...
The effects of aerobic/anoxic period sequence on aerobic granulation and COD/N treatment efficiency
(ELSEVIER, 2013)
The effects of period sequence (anoxic–aerobic and aerobic–anoxic) on aerobic granulation from suspended seed sludge, and COD, N removal efficiencies were investigated in two sequencing batch reactors.
More stable granules ...