We present an analysis of user conversations in on-line social media and their evolution over time. propose a dynamic model that predicts the growth dynamics structural properties conversation threads. The reconciles differing observations have been reported existing studies. By separating artificial factors from behavior, we show there are actually underlying rules common for different websites. Results our supported by empirical measurements throughout number

In actual learning scenarios, learners have more and personalized needs. The traditional measuring tools of emotional engagement can no longer meet the needs online learning. To solve problem, this paper explores emotion recognition college students' based on deep Firstly, features were extracted from texts related to reviews interactive behaviors students, vectorized by multi-head attention mechanism. Based mechanism, a bidirectional long short-term memory (BLSTM) classification model was...

We present an analysis of user conversations in on-line social media and their evolution over time. propose a dynamic model that accurately predicts the growth dynamics structural properties conversation threads. The successfully reconciles differing observations have been reported existing studies. By separating artificial factors from behaviors, we show there are actually underlying rules common for different websites. Results our supported by empirical measurements throughout number

In the current scenario, research perspective on esophageal cancer becomes severe, high-prognosis malignancy; poor prognosis is primarily attributed to fact that most tumors remain asymptomatic and unrelated before it grows through esophagus. Significant decreases in mortality from may require effective approaches detect nurse more patients at early, curable stages. A new Improved Empirical Wavelet Transform (IEWT) dependent feature extraction approach a consistent homology for diagnosis of...

Thanks to the advantages of friendly annotations and satisfactory performance, weakly-supervised semantic segmentation (WSSS) approaches have been extensively studied. Recently, single-stage WSSS (SS-WSSS) was awakened alleviate problems expensive computational costs complicated training procedures in multistage WSSS. However, results such an immature model suffer from background incompleteness object incompleteness. We empirically find that they are caused by insufficiency global context...

With increasing use of cloud storage for healthcare applications, potential security risks and the need enhanced solutions are becoming a pressing issue clinical adoption. In this paper, data partitioning scrambling method at application layer is proposed data, where tiny part original used to scramble remaining without any cryptographic key, former kept locally while latter under extra protection sent platforms. Theoretical experimental analyses have been carried out demonstrate performance...

We present an analysis of user conversations in on-line social media and their evolution over time. propose a dynamic model that accurately predicts the growth dynamics structural properties conversation threads. The successfully reconciles differing observations have been reported existing studies. By separating artificial factors from behaviors, we show there are actually underlying rules common for different websites. Results our supported by empirical measurements throughout number

A code smell is any part of an application that might indicate a or design problem, which makes the hard to evolve and maintain. Automatic detection smells has been studied help programmers find parts their codes should be refactored. However, have not defined in formal manner. Moreover, existing tools are designed for object-oriented applications, but rarely provided high performance computing (HPC) applications. HPC applications usually optimized particular platform achieve performance,...

It's very important to locate and recognize the lung region accurately in chest X-ray images clinical application research. This paper provides a novel method extract images. In this paper, active shape model (ASM) based on deformed technology is applied segment region. order get more accurate time-saving segmentation result, we also improve original ASM. Firstly, Because of body location individual difference, use thin-plate spline register radiographs appropriate .Secondly, apex pulmonis...

A flexible valid self-calibration technique for robotics hand-eye systems is proposed. It not necessary to disjoin the camera intrinsic parameter matrix and orientation matrix, so they can be obtained as a "black-box", where every of part needn't computed, thus computation cost error are both depressed. In process calibration, known reference objection isn't needed, it only requires observe images from couple arbitrary points at four (or more) pure translational motions two random with...

In this paper, we introduce the application of several currently-representative methods for mineral resources potential assessment on Geographic information system(hereinafter referred to as GIS), and combined with performed in China lead-zinc deposits taken an example, summarized divided minerals prediction models; basis, paper presented process metallogenic prognosis based MRAS platform, made a simple analysis existing problems.

Abstract. different classes, to estimate the number of classes in image segmentation issues. In this strategy, information a homogeneous region is measured by entropy. Then considered be disordered and should split if its entropy more than given threshold. On contrary, when KL two regions less threshold, it believed that they are similar merged. The entropy-KL strategy can combined with any kind algorithm since uses distance as general way decide classes. paper, HMRF-FCM employed process...

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In this paper, some new necessary and sufficient conditions for identifying isomorphism of two-level fractional factorial designs are proposed, making use parallel flats structure.A algorithm checking is provided accordingly.The newly proposed simple general, can be used either regular or nonregular designs.By taking advantage structure when it exists, the method much faster than current methods assessing designs.Examples given to illustrate results.An efficient implementation in Matlab...

Thanks to the advantages of friendly annotations and satisfactory performance, Weakly-Supervised Semantic Segmentation (WSSS) approaches have been extensively studied. Recently, single-stage WSSS was awakened alleviate problems expensive computational costs complicated training procedures in multi-stage WSSS. However, results such an immature model suffer from background incompleteness object incompleteness. We empirically find that they are caused by insufficiency global context lack local...

Abstract In this paper, we transform the classical linear discriminant analysis (LDA) into a smooth difference-of-convex optimization problem. Then, new algorithm with extrapolation is introduced and convergence of established. Finally, for face recognition problem, proposed achieves better classification performance compared several current algorithms in literature.

Weakly-supervised image segmentation (WSIS) is a critical task in computer vision that relies on image-level class labels. Multi-stage training procedures have been widely used existing WSIS approaches to obtain high-quality pseudo-masks as ground-truth, resulting significant progress. However, single-stage methods recently gained attention due their potential for simplifying procedures, despite often suffering from low-quality limit practical applications. To address this issue, we propose...