Spatio-temporal information is key to resolve occlusion and depth ambiguity in 3D human pose estimation. Previous methods have focused on either temporal contexts or local-to-global architectures that embed fixed-length spatiotemporal information. To date, there not been effective proposals simultaneously flexibly capture varying sequences effectively achieves real-time In this work, we improve the learning of kinematic constraints skeleton: posture, local connections, symmetry by modeling...

Abstract Motivation Interpretable deep learning (DL) models that can provide biological insights, in addition to accurate predictions, are of great interest the biomedical community. Recently, interpretable DL incorporate signaling pathways have been proposed for drug response prediction (DRP). While these improve interpretability, it is unclear whether this comes at cost less DRPs, or a improvement also be obtained. Results We comprehensively and systematically assessed four...

The increasing number of publicly available databases containing drugs' chemical structures, their response in cell lines, and molecular profiles the lines has garnered attention to problem drug prediction. However, many existing methods do not fully leverage information that is shared among drugs with similar structure. As such, similarities terms line responses structures could prove be useful forming representations improve prediction accuracy.We present two deep learning approaches,...

Research conducted on transfer student outcomes consistently shows that there is a bachelor’s degree completion gap between students and nontransfer students. Researchers have explored several factors thought to impact for students, including demographic characteristics, number of credit hours transferred, GPA, institution type, indicators academic achievement. The findings from these studies not always been consistent in whether (or how) influence completion. current study uses survival...

Early identification of infants with necrotizing enterocolitis (NEC) at risk surgery is essential for an effective treatment. This study aims to clarify the factors surgical NEC and establish a prediction model by machine learning algorithm. Infants were split into two groups based on whether they had or not. Clinical data was collected compared between groups. Variables analyzed one-way logistic regression predictive models built using CatBoost The evaluated Receiver Operating...

Ophthalmopathy induced by cytomegalovirus (CMV) infection is most common in immunodeficient patients without other congenital infections. This paper reports a clinical case of retinitis due to CMV preterm infant and reviews the relevant literature. A 2-day-old female at 36+2 gestation weeks presented with 2-day history scattered bleeding spots across body, hemorrhagic diathesis, thrombocytopenia, positive blood IgM, urine DNA levels significantly above detection limit PCR analysis. Maternal...

Many visual simultaneous localization and mapping (SLAM) systems have been shown to be accurate robust, real-time performance capabilities on both indoor ground datasets. However, these methods can problematic when dealing with aerial frames captured by a camera mounted an unmanned vehicle (UAV) because the flight height of UAV difficult control is easily affected environment. For example, may shaken or experience rapid drop in due sudden strong wind, which turn lead lost tracking. What...

With the progress of science and technology, more cars have function automatic driving. After reviewing a series articles, it is found that there are still many problems in research on These include with sensors, cameras, navigation systems, signals so on. The primary focus this article automobile's sensor system, which includes body-sensing radar vision GPS systems. However, will be numerous issues if these sensors used alone. It can seen researchers done application multiple achieved good...

Spatio-temporal information is key to resolve occlusion and depth ambiguity in 3D pose estimation. Previous methods have focused on either temporal contexts or local-to-global architectures that embed fixed-length spatio-temporal information. To date, there not been effective proposals simultaneously flexibly capture varying sequences effectively achieves real-time In this work, we improve the learning of kinematic constraints human skeleton: posture, local connections, symmetry by modeling...

Odd-form electronic components are widely used in the manufacturing industry. However, with a dated manual insertion process, several critical issues have been encountered this field, such as poor quality, low efficiency, increasing global labor costs and assembly complexity, causing difficulties product development. Aiming to solve above problems, we developed novel odd-form component system based on cooperative dual SCARA, taking advantage of multiple robots compact structure, higher...

In recent years, the critical role of green buildings in addressing energy consumption and environmental issues has become widely acknowledged. Research indicates that over 40% potential savings can be achieved during early design stage. Therefore, decision-making building (DGBD), which is based on modeling performance simulation, crucial for reducing costs. However, field encompasses a broad range specialized knowledge, involves significant learning costs results low efficiency. Many...

Abstract Motivation: Recent advances in deep learning model development have enabled more accurate prediction of drug response cancer. However, the black-box nature these models still remains a hurdle their adoption for precision cancer medicine. efforts focused on making interpretable by incorporating signaling pathway information architecture. While improve interpretability, it is unclear whether this higher interpretability comes at cost less predictions, or improvement can also be...

Existing corner detection algorithms excessively depend on the selection of thresholds, which result in complex implementation and unstable performance. Our purpose is to weaken influence threshold detection. This paper presents a less-dependent method extract geometrically important corners for image vectorization. In general, performance existing algorithm depends largely one or more thresholds. Specifically, candidates are extracted with an improved intensity-based detector contour-based...

This paper presents a locating method that combines traditional threshold segmentation, feature information extraction and edge contour fitting to detect locate odd-form components PCB holes. Feature extraction, instead of template matching algorithm, is used improve the robustness recognition in this method. The deviation unsmoothness caused by initial solved using an technique. Finally, experiments are designed performed verify precision components, holes detection correction system.

As Human-Robot Interaction (HRI) develops, robots are expected to learn more complex and demanding interaction skills. Complex HRI tasks often embodied in that jointly constrained by task space joint space. In the field of Imitation Learning, scholars have explored topic constraints from space, but there few relevant studies Interaction. this paper, based on Primitives framework (a framework), we propose an inference method first generalizes robot's movements two spaces synchronously then...

Many visual simultaneous localization and mapping (SLAM) systems have been shown to be accurate robust, real-time performance capabilities on both indoor ground datasets. However, these methods can problematic when dealing with aerial frames captured by a camera mounted an unmanned vehicle (UAV) because the flight height of UAV difficult control is easily affected environment.To cope case lost tracking, many SLAM employ relocalization strategy. This involves tracking thread continuing online...

An ultra-wideband wide-angle scanning dual-polarized tightly coupled dipole antenna array is proposed with an improved impedance matching (WAIM) layer. One unit period boundaries investigated to illustrate radiation and performances for infinite array. The bandwidth can cover S-band, X-band, C-band. A shorted circular plate placed beneath the junction area between dipoles shift common-mode resonance frequency down out of operating band. couple metal ribs are added into feed lines improve...

A novel high-gain circular-polarization microstrip antenna is proposed by combining a rectangular patch operating in TM90 mode with up-loading tilted-dipole array. Current interference and differential-feeding technique are adopted to achieve high broadside gain desirable bandwidth for the mode. The dipole array serves as linear-to-circular polarization converter. simulated of15.9 dBi has been achieved impedance (S11 <; -10dB) of 8.1% (11.76-12.79 GHz) 3-dB AR 6.6%(11.76-12.55GHz). simple...

Millimeter-wave radar has become one of the mainstream sensors applied in field target tracking research because its high accuracy, low cost, and non-intrusive nature. can solve user's concern about privacy leakage. In this paper, a millimeter wave recognition method based on an interframe fusion algorithm is proposed. The combination DBSCAN GMM algorithm. first combines multi-frame point cloud data then compares with merging frame sequence features solves problem sparse data. not only noise...

In some scenarios of Human-Robot Collaboration, it is more convenient to express the synergies in task space, where robot positions and orientations are taken into consideration. Interaction Primitives (IP) stand out as an effective approach that encodes human movement collaboration. However, IP can not be directly exploited learn orientation trajectories represented by unit quaternions because lie on manifold ${\mathcal{S}^3}$, which Euclidean. this paper, we propose built Riemannian...