Breast cancer is an occurrence of cancer that attacks breast tissue and is the most common cancer among women worldwide, affecting one in eight women. In this modern world, breast cancer image classification simplifie...
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ISBN:
(数字)9798331539603
ISBN:
(纸本)9798331539610
Breast cancer is an occurrence of cancer that attacks breast tissue and is the most common cancer among women worldwide, affecting one in eight women. In this modern world, breast cancer image classification simplifies the process of analyzing, providing objective and accurate results. By leveraging machine learning algorithms and computer vision techniques, we developed breast cancer detection. The dataset is histopathology dataset from BreakHis and UNHAS Hospital. We chose the ConvNeXt-Tiny model then modified the classifier head as the proposed method. Before the dataset is processed by the model, we augment the images by applying random horizontal and vertical flips, adjustments to brightness, contrast, saturation, and hue using color jitter. The augmentation process simulates real-world variance and enhances the model's ability to generalize to unseen data. Our proposed model gained better performance (accuracy, F1-Score) results compared two other techniques to VGG16 and SVM. According to our experiments, the F1-Score for the ConvNeXt-Tiny model with classifier head modification is higher at 0.9516, than the gain for VGG16 at 0.9292, and the gain for the SVM at 0.83.
All glass optical fibers drawn from crystalline precursors via the molten core method demonstrate instantaneous and greatly enhanced second harmonic generation. Results when pumping in the NIR at relatively low powers...
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This article established a novel multi-input multioutput (MIMO) communication network, in the presence of full-duplex (FD) transmitters and receivers with the assistance of dual-side intelligent omni surface (IOS). Co...
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This paper presents our system for the BioASQ10b Phase B task. For ideal answers, we used the fine-tuned BioBERT model on the MNLI dataset to construct sentence embeddings and combined it with BERTScore to select sent...
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Ferromagnetic pyrochlore and spinel materials with topological flat bands are of interest for their potential to exhibit a giant anomalous Hall effect (AHE). In this work, we present computational predictions of stabi...
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Recently, cooking oil has been widely discussed on social media. Many people ask how to analyze this phenomenon, one of which is using a sentiment analysis application on Twitter that performs a scientific analysis of...
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Bayesian optimization(BO)is an indispensable tool to optimize objective functions that either do not have known functional forms or are expensive to ***,optimal experimental design is always conducted within the workf...
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Bayesian optimization(BO)is an indispensable tool to optimize objective functions that either do not have known functional forms or are expensive to ***,optimal experimental design is always conducted within the workflow of BO leading to more efficient exploration of the design space compared to traditional *** can have a significant impact on modern scientific discovery,in particular autonomous materials discovery,which can be viewed as an optimization problem aimed at looking for the maximum(or minimum)point for the desired materials *** performance of BO-based experimental design depends not only on the adopted acquisition function but also on the surrogate models that help to approximate underlying objective *** this paper,we propose a fully autonomous experimental design framework that uses more adaptive and flexible Bayesian surrogate models in a BO procedure,namely Bayesian multivariate adaptive regression splines and Bayesian additive regression *** can overcome the weaknesses of widely used Gaussian process-based methods when faced with relatively high-dimensional design space or non-smooth patterns of objective *** simulation studies and real-world materialsscience case studies demonstrate their enhanced search efficiency and robustness.
Through thermal annealing experiments, the impact of the cladding and draw conditions on the observed Brillouin gain spectra in acoustically anti-guiding optical fibers is presented. The draw conditions can be used to...
Through thermal annealing experiments, the impact of the cladding and draw conditions on the observed Brillouin gain spectra in acoustically anti-guiding optical fibers is presented. The draw conditions can be used to fine-tune the interaction for various sensing and high-power fiber applications.
Aside from optical pushing and trapping that have been implemented successfully, the transportation of objects backward to the source by the optical pulling forces (OPFs) has attracted tremendous attention, which was ...
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Aside from optical pushing and trapping that have been implemented successfully, the transportation of objects backward to the source by the optical pulling forces (OPFs) has attracted tremendous attention, which was usually achieved by increasing the forward momentum of light. However, the limited momentum transfer between light and object greatly constrains the amplitudes of OPFs. Here, we present a mechanism to generate strong interactions between object and background through the bound states in the continuums, which can generate large OPFs without increasing the forward momentum of light. The underlying physics is the extraction of momentum from the designed background lattice units assisted by mode symmetry. This work paves the way for extraordinary optical manipulations and shows great potential for exploring the momenta of light in media.
The increasing demand for compact high-performance electronic devices necessitates the development of advanced materials that are capable of providing effective hermetic sealing. Tetrahedral Amorphous Carbon (ta-C) de...
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ISBN:
(数字)9798331522001
ISBN:
(纸本)9798331522018
The increasing demand for compact high-performance electronic devices necessitates the development of advanced materials that are capable of providing effective hermetic sealing. Tetrahedral Amorphous Carbon (ta-C) deposited by Filtered Cathodic Vacuum Arc (FCVA) has garnered attention as a promising alternative because of its exceptional barrier characteristics, mechanical durability, and optical properties. This paper presents a comprehensive analysis of ta-C attributes as an encapsulating material [1], supported by empirical evidence, and investigates its potential application in protecting electronic components. The research demonstrated that ta-C coatings exhibited minimal changes in resistance under elevated humidity and temperature conditions (85% RH, 85°C) for up to 792 h, with Set 1 samples displaying less than 5% variation in electrical resistance. The ta-C films also achieved an adhesion rating of ASTM 5B on both silicon and glass substrates. Water contact angle measurements revealed hydrophilicity with an average angle of 73.84° on silicon, further corroborating the suitability of the material for hermetic sealing applications.
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