With the increasing maturity of optics and photonics, hyperspectral technology has also greatly advanced. Hyperspectral images composed hundreds adjacent bands containing useful information can be easily obtained. However, unlike ordinary remote sensing images, each sample in high-dimensional features contains rich spatial spectral information, which increases difficulty feature selection mining, computational complexity, limits recognition accuracy model. Therefore, this letter, a novel...

Since each sample in a hyperspectral remote sensing image is made up of high-dimensional features and contains wealth features, feature selection mining become more difficult. To address this issue, multi-attention residual integrated network (MARB-Net) algorithm proposed, which reduces redundant while increasing fusion and, as result, improves recognition. First, assign multiple weights to using attention mechanism models; then, deep mine integrate the network; finally, perform contextual...

In recent years, learning algorithms based on deep convolution frameworks have gradually become the research hotspots in hyperspectral image classification tasks. However, process, high-dimensionality problems with large amounts of data and feature redundancy interspectral correlation images not been solved efficiently. Therefore, this paper investigates dimensionality reduction extraction proposes a novel multiscale dense cross-attention mechanism algorithm covariance pooling (MDCA-CP) for...

After the birth of deep learning, artificial intelligence has entered a vigorous period rapid development. In this process rising and growing, we have made one achievement after another. When learning is applied to fruit target detection, due complex recognition background, large similarity between models, serious texture interference, partial occlusion fruits, detection rate based on traditional methods low. order solve these problems, BCo-YOLOv5 network model proposed recognize detect...

As a hot research topic, sports video classification has wide range of applications in switched TV, on demand, smart and other fields is closely related to people’s lives. Under this background, aroused great interest people. However, the existing methods usually use manual classification, which workers themselves often influence. It challenging ensure accuracy results, leading wrong classification. Due these limitations, we introduce neural network technology automatic sports. This paper...

With the deepening of deep learning research, progress has been made in artificial intelligence. In process aircraft classification, precision rate picture recognition based on traditional methods is low due to various types aircraft, large similarities between different models, and serious texture interference. this article, hybrid attention network model (BA-CNN) implement an algorithm proposed solve above problems. Using two-channel ResNet-34 as a characteristic extraction function, depth...

In recent years, analysis and optimization algorithm based on image data is a research hotspot. Aircraft detection aerial images can provide support for accurately attacking military targets. Although many efforts have been devoted, it still challenging due to the poor environment, vastness of sky background, so on. This paper proposes an aircraft method named TransEffiDet in EfficientDet Transformer module. We improved by combining with which models long-range dependency feature maps....

While Cytb point mutations are recognized as a contributing factor to the resistance of plant pathogens against mitochondrial electron transport chain (mETC) complex III inhibitors, there remains notable absence direct genetic transformation data. In this study, we verified that 24 increase Phytophthora sojae different types mETC inhibitors through ectopic expression PsCytb gene. Notably, S33L, F220L, and M124I confer certain while simultaneously increasing sensitivity other inhibitors....

With the advancement of Internet technology and widespread use mobile smartphones, urban e-commerce is becoming increasingly saturated. Rural ushered in a new era development. How to improve rural logistics carrying capacity keep up with development better serve has become hot topic. The purpose this study predict demand context e-commerce. We develop an indicator system for forecasting Guangdong Province. GM (1,1) gray model weakening buffer operator was used forecast According results,...

Abstract Coiled polymer artificial muscles with both large tensile stroke and giant force generation are needed for practical applications in robotics, soft exosuits, prosthesis. However, most yarn cannot generate a or stress. Here, we report an inexpensive Twisted Polymer muscle (TCP) that performs isobaric isometric contractions. This TCP can of 20.1% specific work capacity up to 1.3 kJ kg −1 during temperature changes from 20 180 °C. Moreover, the nylon produced reversible output stress...

Understanding human emotions and psychology is a critical step toward realizing artificial intelligence, correct recognition of facial expressions essential for judging emotions. However, the differences caused by changes in expression are very subtle, different features less distinguishable, making it difficult computers to recognize accurately. Therefore, this paper proposes novel multi-layer interactive feature fusion network model with angular distance loss. To begin, multi-scale module...

Electroencephalogram (EEG) is often used in clinical epilepsy treatment to monitor electrical signal changes the brain of patients with epilepsy. With development processing and artificial intelligence technology, classification method plays an important role automatic recognition EEG signals. However, traditional classifiers are easily affected by impurities noise epileptic To solve this problem, paper develops a robustness low-rank learning (NRLRL) algorithm for classification. NRLRL...

Alzheimer's disease (AD) is a progressive neurodegenerative with insidious and irreversible onset. The recognition of the stage AD administration effective interventional treatment are important to slow down control progression disease. However, due unbalanced distribution acquired data volume, problem that features change inconspicuously in different stages AD, scattered narrow areas feature (hippocampal region, medial temporal lobe, etc.), remains critical unmet need. Therefore, we first...

Previous electrochemically powered yarn muscles cannot be usefully operated between extreme negative and positive potentials, since generated stresses during anion injection cation partially cancel because they are in the same direction. We here report an ionomer-infiltrated hybrid carbon nanotube (CNT) muscle that shows unipolar stress behavior sense generation potentials is additive, resulting enhanced generation. Moreover, by this unexpectedly increases with potential scan rate, which...

With the advent of Big Data era, specialized data in kill chain domain has increased dramatically, and engine-based method retrieving information can hardly meet users' need for more accurate answers. The includes four components: control equipment, sensor strike equipment (weapon platform), evaluator as well related which contain a large amount valuable such parameter contained each component. If these fragmented confusing are integrated effective query methods established, they help...

Abstract Background Sepsis is the leading cause of death in intensive care units. Sepsis-induced myocardial dysfunction, one most serious complications sepsis, associated with higher mortality rates. As pathogenesis sepsis-induced cardiomyopathy has not been fully elucidated, there no specific therapeutic approach. Stress granules (SG) are cytoplasmic membrane-less compartments that form response to cellular stress and play important roles various cell signaling pathways. The role SG...

Alzheimer's disease (AD) is a progressive dementia in which the brain shrinks as progresses. The use of machine learning and magnetic resonance imaging (MRI) for early diagnosis AD has high probability clinical value social significance. Sparse representation classifier (SRC) widely used MRI image classification. However, traditional SRC only considers reconstruction error classification dictionary, does not consider global local structural information between images, results unsatisfactory...

Mitochondrial oxidative stress and dysfunction are major pathogenic features of cardiac injury induced by ischemia/reperfusion (I/R). MicroRNA-141 (miR-141) has been implicated in the mitochondrial cell-based models oxidant stress. Thus, main aim present study was to systematically assess role miR-141 cardiomyocyte simulated I/R. The challenge HL-1 cardiomyocytes with hypoxia/reoxygenation (H/R) decreased cell viability, which also associated an increase expression. H/R-induced mitigated a...

Sepsis is a life-threatening organ dysfunction caused by dysregulated host response to infection. It the leading cause of mortality in Intensive Care Unit (ICU). Sepsis-induced myocardial (SIMD) major complication sepsis that contributes high patients with sepsis. Stress granule (SG) cytoplasmic membraneless platform formed cellular stresses. The role SG SIMD unknown. aim present study understand whether activation cardiomyocytes (CM) plays CM function sepsis.CMs were treated...