Three-dimensional topological semimetals were shown to host anomalously strong optical nonlinearity, but yet whether such enhancement can occur at their surfaces via topological boundary states remains an open questio...
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Strong light-matter interactions enable unique nonlinear and quantum phenomena at moderate light intensities. Within the last years, polaritonic metasurfaces emerged as a viable candidate for realization of such regim...
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Fish image classification presents an intriguing challenge in the field of computer vision. This research aims to develop an accurate classification model to differentiate between four different fish species using a c...
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ISBN:
(数字)9798331517601
ISBN:
(纸本)9798331517618
Fish image classification presents an intriguing challenge in the field of computer vision. This research aims to develop an accurate classification model to differentiate between four different fish species using a convolutional neural network. The dataset used consists of $\mathbf{3 0 1 0}$ fish images, divided into training, validation, and testing sets. The convolutional neural network model was trained both with and without data augmentation. Evaluation results show that the model trained with data augmentation achieved an accuracy of $95 \%$ with a loss value of 0.0983, slightly better than the model without augmentation which achieved an accuracy of $94.56 \%$ with a loss value of $\mathbf{0. 1 7 9 4}$. This indicates that data augmentation techniques are effective in improving model performance, likely because augmentation helps the model generalize better to variations in fish image data. The results of this research demonstrate the significant potential of convolutional neural network for fish image classification tasks. The developed model can serve as a foundation for the development of computer vision-based applications such as automatic fish species identification in fisheries or educational applications. Further research can be conducted by exploring different convolutional neural network architectures, more advanced data augmentation techniques, and larger datasets to improve model performance.
Monolayers of ReS2 were grown by a chemical vapor deposition technique on SiO2/Si substrates and investigated at room temperature by using μ-Raman, μ-photoluminescence (PL) and absorbance spectroscopies. The Raman s...
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This article describes the implementation of an advanced fiber-optic intensity sensor for the comprehensive detection of axles and bogies of rail vehicles in tram transport. The sensor uses the principle of optical fi...
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Our research aims to determine the results of student responses after applying VLAB-based STEM learning in the direct current electric circuit section. This study uses a qualitative method. Sampling using a purposive ...
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Early diagnosis of brain tumors is often hindered by non-specific symptoms,particularly in eloquent brain regions where open surgery for tissue sampling is *** limitation increases the risk of misdiagnosis due to tumo...
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Early diagnosis of brain tumors is often hindered by non-specific symptoms,particularly in eloquent brain regions where open surgery for tissue sampling is *** limitation increases the risk of misdiagnosis due to tumor heterogeneity in stereotactic ***-free diagnostic methods,including intraoperative probes and cellular origin analysis techniques,hold promise for improving diagnostic *** offers valuable information on the polarization properties of biomedical samples,yet it may not fully reveal specific structural *** interpretative scope of polarimetric data is sometimes constrained by the limitations of existing decomposition *** the other hand,dynamic laser speckle analysis(DLSA),a burgeoning technique,not only does not account for the polarimetric attributes but also is known for tracking only the temporal activity of the dynamic *** study bridges these gaps by synergizing conventional polarimetric imaging with DLSA for an indepth examination of sample polarization *** effectiveness of our system is shown by analyzing the collection of polarimetric images of various tissue samples,utilizing a variety of adapted numerical and graphical statistical post-processing methods.
The synergy between topology and non-Hermiticity in photonics holds potential for optical devices that are robust against defects. We demonstrate a non-Hermitian plasmonic-dielectric metasurface in the visible with no...
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Energy storage and conversion technologies have attracted increasing attention from academic and industrial communities due to the large demands from wide-ranging *** and developing high-performance electrode material...
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Energy storage and conversion technologies have attracted increasing attention from academic and industrial communities due to the large demands from wide-ranging *** and developing high-performance electrode materials are cruciual to improve the performance of energy storage and conversion *** present,various energy storage and conversion devices,i.e.,potassium-ion batteries(PIBs).
We used ab-initio and finite element strain modeling to explain high threshold current densities in reported tensile Ge lasers. Anisotropic strains improve carrier confinement but reduces optical confinement, and inte...
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