مولانا مناظر احسن گیلانی اور ان کی صوفیانہ فکر

Juristic rules laid the foundation of law, along with such juristic rules, Islām promotes the values of piety (through mystic guidelines). Most of the theologians opine that the real approach to get close the Creator can only be achieved through the mystic guidelines. In the early period of Islām, during the time of the prophet, , caliphate guided rightly the of periods the during and (صلى الله عليه وسلم) Muhammad when people were trained in a very righteous environment, there were no such reservations about the applications of clear jurisprudential injunctions along with the mystic guidelines, but, when Muslims tasted the grandeur of rule, regime and abundance of wealth, they indulged in the worldly affairs and adopted a materialistic approach, not only in their daily life, but, toward their religion, too. The Muslim thinkers have been trying to define and explain whether the typical rituals of mysticism are reconcilable with the larger demands of an Islamic vocabulary. Despite the wide diversity of the critical approaches, a certain pattern has been identified by Muslim responses as mysticism, which is, sometimes found closer to asceticism and sometime as a mediator. Many Muslim mystics have dealt with mysticism, but, perhaps, Manāẓir Aḥsan Gīlānī has displayed, with reference to Ibn ‘Arabī and Shāh Walī Ullāh, the most impressive and knowledgeable applications of such mystic ideas within an Islamic framework. Manāẓir’s applied mysticism is not a typical mysticism; his special focus upon legal injunctions of al-Sharī‘ah goes much further than any of his peers in establishing a strong framework for better understanding of Islām. This study is devoted to examining the effects and implications of mysticism, not only for individuals, but also for the Muslim masses, generally.

A Framework for De-Noising Digital Images Through Machine Learning

There exist many image processing methodologies while most of them do not provide accuracy when images are corrupted with Random Value Impulse Noise (RVIN). Therefore removal of RVIN from the degraded images is believed as preprocessing step in nearly all of the image processing applications. Identification and removal of RVIN from the digital gray scale images is an operational vicinity of research as the detection of RVIN is hard on various noise ratios. In this research a framework has been proposed which leads to the de-noising of RVIN from the digital gray scale images. The detection of noisy pixels provides significant basis for the de-noising process. This proposed framework consists of two main stages. First stage introduces four statistics based features to illustrate the characteristics of the noisy and noise free pixels in the digital image and the Support Vector Machine classifier used to classify the noisy and noise free pixels. In the second stage, modified version of the LPG-PCA algorithm is used for the de-noising of the noisy pixels while preserving the local image structure. The accuracy of this proposed methodology has been compared with the peak-signal-to-noise ratio (PSNR), a well-known performance measure. Simulation results show that the proposed filters provide better accuracy and performance of de-nosing the random value impulse noise in most of the situations.