پختون معاشرے کے مروجہ نجی فیصلوں میں تعزیر بالمال کی عملی صورتوں کا شرعی جائزہ

Pakht┴n society has its own justice system which has different types of penalties and remedies to maintain the justice in the society. This study concentrates to investigate the nature of pecuniary punishment’s practice in distressing issues like killing, civil injuries and criminal offences. Perpetrators are punished to resolve the disputes. On one hand, this paper aims to find out answer to the methods of inflicting decisions in Pakht┴n’s cult and on other hand, to shed light on the legal status of arbitration regarding resolving such issues in the light of Qur’an and Sunnah. Study results illustrate that in some cases the offenders are charged in term of money to facilitate the victims, while in other cases both of the parties, perpetrators and victims, are called upon on meal for reconciliation of their dispute. Besides this, sometimes it is observed that the offenders are not only awarded pecuniary punishment but they are exiled as well.

Image Based Recommendation System for Textile

The project was to develop an online portal for shoppers that provides recom- mendations based on similarities in the design patterns, taking a step beyond the usual searching on price, material, color etc. The process started with gathering data from multiple online resources by scraping the websites of dierent online stores within the city. Image Processing was the next crucial part as texture features had to be extracted from the images of printed clothes to recognize their patterns. Machine Learning came in the form of unsupervised learning where clustering techniques were explored on a sample data set. The best technique was chosen based on highest quality of clusters formed. K-means, Self Organizing Maps, and Adaptive Resonance Theory were the clustering algorithms applied on the image features extracted using Haralick fea- tures extraction technique and also on features from Auto encoders. The results from Haralick features undergone through Self Organising Maps clustering were used to nally generate suggestions for similar items on the website