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Toplam kayıt 24, listelenen: 1-10
Ground plane design configuration estimation of 4.9 GHz reconfigurable monopole antenna for desired radiation features using artificial neural network
(Wiley, 2021)
This paper presents a system based on artificial neural network (ANN) that predicts ground plane design for desired radiation properties of a monopole antenna with operation band of 4.8 to 5 GHz. The operating frequency ...
Efficient AC-DC power factor corrected boost converter design for battery charger in electric vehicles
(Elsevier, 2021)
With the widespread use of electric vehicles (EVs), the design of a highly quality and efficient battery charger has become an important research topic. In this study, an efficient AC-DC power factor corrected (PFC) boost ...
C-shaped split ring resonator type metamaterial antenna design using neural network
(SPIE, 2021)
A C-shaped split ring resonator-based metamaterial (MTM) structure placed on a patch antenna is proposed. An artificial neural network (ANN) is applied to design and determine dimensions of an MTM structure that is similar ...
Chiral metamaterial-based sensor applications to determine quality of car lubrication oil
(SAGE Publications, 2021)
Motor oils have to be changed periodically in a period of 10.000-20.000 km according to the motor types. A chiral metamaterial sensor that operates in X band is developed to determine the quality of motor oils, numerically ...
Simulated and experimental verification of the microwave dual-band metamaterial perfect absorber based on square patch with a 45(0) diagonal slot structure
(Taylor and Francis, 2021)
In this paper, we designed a dual band metamaterial perfect absorber (MPA) for Ku band applications. The overall ultrathin layer of proposed absorber consists of square patch with 450 diagonal slot structure within a copper ...
MDeePred: novel multi-channel protein featurization for deep learning-based binding affinity prediction in drug discovery
(Oxford University Press, 2021)
Motivation: Identification of interactions between bioactive small molecules and target proteins is crucial for novel drug discovery, drug repurposing and uncovering off-target effects. Due to the tremendous size of the ...
Transfer learning to detect neonatal seizure from electroencephalography signals
(Springer, 2021)
This paper offers a solution to the problem of detecting neonatal seizures via a transfer learning technique that judiciously reconstructs pre-trained deep convolution neural networks (p-DCNN), including alexnet, resnet18, ...
A review and research on fuel cell electric vehicles: Topologies, power electronic converters, energy management methods, technical challenges, marketing and future aspects
(Elsevier, 2021)
The implementations of fuel cells (FCs) in the vehicle industry have gained great attention for the last few decades owing to simple utilization, silent operation, high efficiency and modular structure. Technological ...
Applying machine learning approach in recycling
(Springer, 2021)
Waste generation has been increasing drastically based on the world’s population and economic growth. This has significantly affected human health, natural life, and ecology. The utilization of limited natural resources, ...
Seismic metamaterials for low-frequency mechanical wave attenuation
(Springer, 2021)
In this study, a triangular array of cylindrical holes was shown to function as a local resonator to seismic metamaterials against the vibration generator loading in the geophysics concept. The field test showed that the ...