Background: Path-planning algorithms are widely used in robotics, vehicles, UAVs, car-rierbased aircraft towing vehicles, etc. Using these algorithms, an optimal path with safe obstacle avoidance and high efficiency c...
详细信息
The development of non-noble metal electrocatalysts for the Oxygen Evolution Reaction(OER)is advancing towards the use of multi-element *** reveal the complex correlations of multielement OER electrocatalysts,we devel...
详细信息
The development of non-noble metal electrocatalysts for the Oxygen Evolution Reaction(OER)is advancing towards the use of multi-element *** reveal the complex correlations of multielement OER electrocatalysts,we developed an iterative workflow combining high-throughput experiments and AI-generated content(AIGC)*** increased number of 909(compared to 145 in previous literature)universal descriptors for inorganic materials science were constructed and used as Artificial Neural Network(ANN)input.A large number of statistical ensembles with each ANN individual ensemble having a reduced number of descriptors were integrated with a new Hierarchical Neural Network(HNN)*** algorithm addresses the longstanding challenge of balancing overwhelming descriptor numbers with insufficient datasets in traditional ANN approaches to materials science *** a result,the combination of AIGC and experimental validation significantly enhanced prediction accuracy,increase the R2 values from 0.7 to 0.98 for Tafel slopes.
The effectiveness of modeling contextual information has been empirically shown in numerous computer vision tasks. In this paper, we propose a simple yet efficient augmented fully convolutional network(AugFCN) by aggr...
详细信息
The effectiveness of modeling contextual information has been empirically shown in numerous computer vision tasks. In this paper, we propose a simple yet efficient augmented fully convolutional network(AugFCN) by aggregating content-and position-based object contexts for semantic ***, motivated because each deep feature map is a global, class-wise representation of the input,we first propose an augmented nonlocal interaction(AugNI) to aggregate the global content-based contexts through all feature map interactions. Compared to classical position-wise approaches, AugNI is more efficient. Moreover, to eliminate permutation equivariance and maintain translation equivariance, a learnable,relative position embedding branch is then supportably installed in AugNI to capture the global positionbased contexts. AugFCN is built on a fully convolutional network as the backbone by deploying AugNI before the segmentation head network. Experimental results on two challenging benchmarks verify that AugFCN can achieve a competitive 45.38% mIoU(standard mean intersection over union) and 81.9% mIoU on the ADE20K val set and Cityscapes test set, respectively, with little computational overhead. Additionally, the results of the joint implementation of AugNI and existing context modeling schemes show that AugFCN leads to continuous segmentation improvements in state-of-the-art context modeling. We finally achieve a top performance of 45.43% mIoU on the ADE20K val set and 83.0% mIoU on the Cityscapes test set.
As urban traffic pressure continues to increase, existing traffic systems have achieved some success in improving vehicle throughput. However, they commonly face issues such as insufficient precision in visual recogni...
详细信息
Monte Carlo Tree Search (MCTS) is a widely used search algorithm in game theory. Its core idea is to estimate the value of each decision node by simulating random games. The Upper Confidence Bound (UCB) algorithm, as ...
详细信息
Degradation under challenging conditions such as rain, haze, and low light not only diminishes content visibility, but also results in additional degradation side effects, including detail occlusion and color distorti...
详细信息
Degradation under challenging conditions such as rain, haze, and low light not only diminishes content visibility, but also results in additional degradation side effects, including detail occlusion and color distortion. However, current technologies have barely explored the correlation between perturbation removal and background restoration, consequently struggling to generate high-naturalness content in challenging scenarios. In this paper, we rethink the image enhancement task from the perspective of joint optimization: Perturbation removal and texture reconstruction. To this end, we advise an efficient yet effective image enhancement model, termed the perturbation-guided texture reconstruction network(PerTeRNet). It contains two subnetworks designed for the perturbation elimination and texture reconstruction tasks, respectively. To facilitate texture recovery,we develop a novel perturbation-guided texture enhancement module(PerTEM) to connect these two tasks, where informative background features are extracted from the input with the guidance of predicted perturbation priors. To alleviate the learning burden and computational cost, we suggest performing perturbation removal in a sub-space and exploiting super-resolution to infer high-frequency background details. Our PerTeRNet has demonstrated significant superiority over typical methods in both quantitative and qualitative measures, as evidenced by extensive experimental results on popular image enhancement and joint detection tasks. The source code is available at https://***/kuijiang94/PerTeRNet.
Entity alignment aims to discover different references to the same entity in different graphs, and it is a key technique for solving graph-related problems. It has developed into one of the important tasks in knowledg...
详细信息
This study examines the stabilization issue of extended chained nonholonomic systems(ECNSs)with external *** the existing approaches,we transform the considered system into a fully actuated system(FAS)model,simplifyin...
详细信息
This study examines the stabilization issue of extended chained nonholonomic systems(ECNSs)with external *** the existing approaches,we transform the considered system into a fully actuated system(FAS)model,simplifying the stabilizing controller *** implement a separate controller design and propose exponential stabilization controller and finite-time stabilization controller under finite-time disturbance observer(FTDO)for the two system *** addition,we discuss the specifics of global stabilization control *** approach demonstrates that two system states exponentially or asymptotically converge to zero under the provided switching stabilization control strategy,while all other system states converge to zero within a finite time.
Cancer progression involves the gradual loss of a differentiated phenotype and the acquisition of progenitor and stem cell-like features,which are potential culprits of immunotherapy *** the state-of-the-art predictiv...
详细信息
Cancer progression involves the gradual loss of a differentiated phenotype and the acquisition of progenitor and stem cell-like features,which are potential culprits of immunotherapy *** the state-of-the-art predictive computational methods have facilitated the prediction of cancer stemness,there remains a lack of efficient resources to accommodate various usage ***,we present the Cancer Stemness Online,an integrated resource for efficiently scoring cancer stemness potential at both bulk and single-cell *** resource integrates eight robust predictive algorithms as well as 27 signature gene sets associated with cancer stemness for predicting stemness *** analyses were performed from five distinct aspects:identifying the signature genes of cancer stemness;exploring the associations with cancer hallmarks and cellular states;exploring the associations with immune response and the communications with immune cells;investigating the contributions to patient survival;and performing a robustness analysis of cancer stemness among different ***,the pre-calculated cancer stemness atlas for more than 40 cancer types can be accessed by *** the tables and diverse visualizations of the analytical results are available for ***,Cancer Stemness Online is a powerful resource for scoring cancer stemness and expanding downstream functional interpretation,including immune response and cancer *** Stemness Online is freely accessible at http://***/CancerStemnessOnline.
Various characteristic structures in typical magnesium alloys,including dislocation cells,substructures and twins,have an important influence on the dynamic recrystallization behavior,and the DRX(dynamic recrystalliza...
详细信息
Various characteristic structures in typical magnesium alloys,including dislocation cells,substructures and twins,have an important influence on the dynamic recrystallization behavior,and the DRX(dynamic recrystallization)behavior is closely related to the grain refinement and texture weakening of the hot deformed ***,this study reveals the influence of the above characteristic structures on the dynamic recrystallization behavior of magnesium alloys,which have great significance for regulating the high-performance hot deformed microstructure of magnesium alloys and optimizing the macro mechanical *** this study,continuous variable channel direct extrusion(CVCDE)magnesium alloy was prepared by CVCDE,and its macro mechanical properties including hardness and uniaxial tension were *** thermoplastic deformation behavior and texture evolution of magnesium alloy with characteristic structure were analyzed by electron back-scattering diffraction *** is found that the dislocation recombination was realized by deformation mechanism(slip,climb and cross slip),the formation of grain substructure in coarse grains and the induction of recrystallization by twins promote the recrystallization behavior in hot deformed structures more adequate,which effectively improves the degree of microstructure refinement and deformation uniformity.
暂无评论