Unsupervised pixel-level defective region segmentation is an important task in image-based anomaly detection for various industrial applications. The state-of-the-art methods have their own advantages and limitations: matrix-decomposition-based are robust to noise, but lack complex background image modeling capability; representation-based good at localization, accuracy shape contour extraction...

هدف: هدف پژوهش حاضر تعیین نقش واسطه‌­ای اجتناب تجربی و دشواری‌­های تنظیم هیجان در رابطه بین سازوکارهای دفاعی با افکار خودکشی نوجوانان بود. روش: از نوع توصیفی- همبستگی جامعه آماری این شامل تمام شهر کرج پاییز سال 1398 بود که میان آن­ها به روش نمونه گیری دسترس مناطق آموزشی 3 7، 270 نوجوان 15 تا 18 (125 پسر 143 دختر) انتخاب شدند. ابزار پرسشنامه دفاعی-40 آندروز همکاران (۱۹93) (DSQ-40)؛ دشواری گراتز ...

This paper discusses the development and implementation of architecture a Framework for Aerospace Vehicle Reasoning, `FAVER'. Integrated Health Management systems require holistic view aircraft to isolate faults cascading between systems. FAVER is system-agnostic framework developed such propagating by incorporating Digital Twins (DTs) reasoning techniques. The flexibility work with different t...

In recent years, malware detection has become an active research topic in the area of Internet Things (IoT) security. The principle is to exploit knowledge from large quantities continuously generated malware. Existing algorithms practise available features for IoT devices and lack real-time prediction behaviours. More thus required on cope with misclassification input data. Motivated by this, ...

Sparse linear algebra is an important kernel in many different applications. Among various sparse general matrix-matrix multiplication (SpGEMM) algorithms, Gustavson’s column-wise SpGEMM has good locality when reading input matrix and can be easily parallelized by distributing the computation of columns output to processors. However, accumulation (SPA) step SpGEMM, which merges partial sums fro...