Although lots of research has been done in recognizing facial expressions,there is still a need to increase the accuracy of facial expression recognition,particularly under uncontrolled *** use of Local Directional Pa...
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Although lots of research has been done in recognizing facial expressions,there is still a need to increase the accuracy of facial expression recognition,particularly under uncontrolled *** use of Local Directional Patterns(LDP),which has good characteristics for emotion detection has yielded encouraging *** innova-tive end-to-end learnable High Response-based Local Directional Pattern(HR-LDP)network for facial emotion recognition is implemented by employing fixed convolutional filters in the proposed *** combining learnable convolutional layers with fixed-parameter HR-LDP layers made up of eight Kirsch filters and derivable simulated gate functions,this network considerably minimizes the number of network *** cost of the parameters in our fully linked layers is up to 64 times lesser than those in currently used deep learning-based detection *** seven well-known databases,including JAFFE,CK+,MMI,SFEW,OULU-CASIA and MUG,the recognition rates for seven-class facial expression recognition are 99.36%,99.2%,97.8%,60.4%,91.1%and 90.1%,*** results demonstrate the advantage of the proposed work over cutting-edge techniques.
Globally,the efficient utilization of polymer wastes is one of the most important issues for current sustainable development ***,a green and efficient low-temperature combustion approach is proposed to deal with polym...
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Globally,the efficient utilization of polymer wastes is one of the most important issues for current sustainable development ***,a green and efficient low-temperature combustion approach is proposed to deal with polymer wastes and recover heat energy,simultaneously alleviating the environment and energy ***-noble metal oxides(Al_(2)O_(3),Fe_(2)O_(3),NiO_(2),ZrO_(2),La_(2)O_(3)and CeO_(2)) were prepared,characterized and screened to boost the low-temperature combustion of polyethylene waste at 300℃ in *** mass change,heat release and CO_(x) formation were studied in details and employed to evaluate the combustion rate and *** was found that CeO_(2)significantly enhanced the combustion rate and efficiency,which was respectively 2 and 7 times that of non-catalytic *** interesting phenomenon was observed that the catalytic performance of CeO_(2) in polyethylene low-temperature combustion was significantly improved by the 7-day storage in the room environment or water *** analysis confirmed the co-existence of Ce^(3+) and Ce^(4+) in CeO_(2),and the 7-day storage and water treatment promoted the amount of Ce^(3+),which facilitated the formation of the oxygen *** may be the reason why CeO_(2) exhibited excellent catalytic performance in polyethylene low-temperature combustion.
The use of metamaterial enhances the performance of a specific class of antennas known as metamaterial *** radiation cost and quality factor of the antenna are influenced by the size of the *** antennas allow for the ...
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The use of metamaterial enhances the performance of a specific class of antennas known as metamaterial *** radiation cost and quality factor of the antenna are influenced by the size of the *** antennas allow for the circumvention of the bandwidth restriction for small *** parameters have recently been predicted using machine learning algorithms in existing *** learning can take the place of the manual process of experimenting to find the ideal simulated antenna *** accuracy of the prediction will be primarily dependent on the model that is *** this paper,a novel method for forecasting the bandwidth of the metamaterial antenna is proposed,based on using the Pearson Kernel as a standard *** with these new approaches,this paper suggests a unique hypersphere-based normalization to normalize the values of the dataset attributes and a dimensionality reduction method based on the Pearson kernel to reduce the dimension.A novel algorithm for optimizing the parameters of Convolutional Neural Network(CNN)based on improved Bat Algorithm-based Optimization with Pearson Mutation(BAO-PM)is also presented in this *** prediction results of the proposed work are better when compared to the existing models in the literature.
Improving the dehydrogenation behavior of aluminum hydride(AlH3)by introducing additives provides a promising avenue in portable hydrogen source ***,the challenge remains in the development of highly active additives ...
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Improving the dehydrogenation behavior of aluminum hydride(AlH3)by introducing additives provides a promising avenue in portable hydrogen source ***,the challenge remains in the development of highly active additives that facilitate hydrogen storage in composites while maintaining high capacity with a relatively small amount of *** work presents the successful synthesis of TiN nanoparticles by nitriding reaction using TiO_(2) as the *** onset dehydrogenation temperature of AlH_(3) could be remarkably reduced to 52.9℃ on account of the catalytic effect of TiN ***,the composite exhibits a close approximation to the realistic capacity of pure aluminum hydride,with a maximum capacity of 9.9 wt.%.The notable decrease in the apparent dehydrogenation activation energy of AlH_(3) from 130.86 to 86.69 kJ·mol^(-1) after the incorporation of TiN substantiates the pivotal role of multivalent titanium and nitrogen.
Thyroid nodules,a common disorder in the endocrine system,require accurate segmentation in ultrasound images for effective diagnosis and ***,achieving precise segmentation remains a challenge due to various factors,in...
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Thyroid nodules,a common disorder in the endocrine system,require accurate segmentation in ultrasound images for effective diagnosis and ***,achieving precise segmentation remains a challenge due to various factors,including scattering noise,low contrast,and limited resolution in ultrasound *** existing segmentation models have made progress,they still suffer from several limitations,such as high error rates,low generalizability,overfitting,limited feature learning capability,*** address these challenges,this paper proposes a Multi-level Relation Transformer-based U-Net(MLRT-UNet)to improve thyroid nodule *** MLRTUNet leverages a novel Relation Transformer,which processes images at multiple scales,overcoming the limitations of traditional encoding *** transformer integrates both local and global features effectively through selfattention and cross-attention units,capturing intricate relationships within the *** approach also introduces a Co-operative Transformer Fusion(CTF)module to combine multi-scale features from different encoding layers,enhancing the model’s ability to capture complex patterns in the ***,the Relation Transformer block enhances long-distance dependencies during the decoding process,improving segmentation *** results showthat the MLRT-UNet achieves high segmentation accuracy,reaching 98.2% on the Digital Database Thyroid Image(DDT)dataset,97.8% on the Thyroid Nodule 3493(TG3K)dataset,and 98.2% on the Thyroid Nodule3K(TN3K)*** findings demonstrate that the proposed method significantly enhances the accuracy of thyroid nodule segmentation,addressing the limitations of existing models.
With the increasing growth of data scale and the increasing complexity of network structure, the heterogeneity, high sparsity, heterogeneity and high dimensionality of large-scale complex networks have become increasi...
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Now a day's tourism industry in Asia is more than ever being modernized by innovative technologies, an undisputable reality that was converting the sector in different ways. To create a memorable experience there ...
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The photocatalytic oxidation of 1-phenylethanol coupling with hydrogen evolution represents a promising strategy for the full utilization of the photogenerated electrons and holes to accomplish the maximum conversion ...
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The photocatalytic oxidation of 1-phenylethanol coupling with hydrogen evolution represents a promising strategy for the full utilization of the photogenerated electrons and holes to accomplish the maximum conversion of solar energy into chemical *** date,however,the controllable of reaction path and product distribution has yet not to be ***,we report an efficient coupled catalytic system composed of ZnIn_(2)S_(4)/WO_(3)S-scheme heterojunction and Ni-containing polyoxometalate([Ni_(4)(H_(2)O)_(2)(PW_(9)O_(34))_(2)]^(10-)(Ni_(4)P_(2))),which exhibited excellent photocatalytic activities towards the oxidation valorization of 1-phenylethanol coupling with hydrogen *** addition of Ni_(4)P_(2)can efficiently control the product ***,1-phenylethanol was preferentially converted to pinacol(86.0% selectivity)via C-C coupling over ZnIn_(2)S_(4)/WO_(3)S-scheme heterojunction accompanied by hydrogen production(202.4μmol),whereas it would be converted to acetophenone(93.8% selectivity)by photogenerated holes with concomitant hydrogen formation(183.1μmol)over the coupled Ni_(4)P_(2)/ZnIn_(2)S_(4)/WO_(3) catalytic *** studies revealed that the hydrogen evolution cocatalyst Ni4P2,with its excellent electron storage capacity,can compete with the oxidation product acetophenone for electrons,and thus its addition can significantly inhibit the reduction of acetophenone,resulting in the inability to generate the coupling product pinacol.
With the further advancement of industrial technology, the data generated by sensors is gradually becoming more complex. Deep learning approaches have made notable strides in the domain of anomaly detection, especiall...
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In this research, a fuzzy adaptive PD control approach is introduced for managing the coupled indoor temperature and humidity system. Initially, the mathematical framework of indoor temperature and humidity is analyze...
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