Abdul Sattar Libri

The Australian Joint Conference on Artificial Intelligence series is steered by the Australian Computer Society's (ACS) National Committee on Artificial Intelligence and Expert Systems. It aims at stimulating research by promoting exchange and cross-fertilization of ideas among different branches of artificial intelligence. It also provides a common forum for researchers and practitioners in various fields of AI to exchange new ideas and share their experience. This volume contains the proceedings of the 19th Australian Joint Conference on Artificial Intelligence (AI 2006) held at Hobart, Australia. AI 2006 received a record number of submissions, a total of 689 submissions from 35 countries. From these, full papers 89 (13%), long papers (up to 12 pages) and 70 (10%) short papers (up to 7 pages) were accepted for presentation and included in this volume. All full papers were reviewed through two rounds of assessments by at least two independent - viewers including Senior Program Committee members. The papers in this volume give an indication of recent advances in artificial int- ligence. The topics covered include Machine Learning, Robotics, AI Applications, Planning, Agents, Data Mining and Knowledge Discovery, Cognition and User Interface, Vision and Image Processing, Information Retrieval and Search, AI in the Web, Knowledge Representation, Knowledge-Based Systems, and Neural Networks.

This book constitutes the refereed proceedings of the 10th Australian Joint Conference on Artificial Intelligence, AI'97, held in Perth, Australia, in November/December 1997. The volume presents 48 revised full papers selected from a total of 143 submissions. Also included are three keynote talks and one invited paper. The book is divided into topical sections on constraint satisfaction and scheduling, computer vision, distributed AI, evolutionary computing, knowledge-based systems, knowledge representation and reasoning, learning and machine vision, machine learning, NLP and user modeling, neural networks, robotics and machine recognition, and temporal qualitative reasoning.

This study explores the profitability of microfinance banks and the performance of group-based borrowers in District Pakpattan Shrif. It aims to identify factors that can enhance the income and living standards of impoverished individuals while reducing poverty. Empirical evidence from the microfinance sector in Pakpattan supports these relationships. Key areas of investigation include the impact of agriculture, livestock, new businesses, working capital, education, and various financial metrics like profitability, ROA, and ROE on microfinance satisfaction levels.

Focusing on the unique risks inherent in Islamic Banking and Finance, this book offers an in-depth exploration of various Risk Management Practices. It serves as a valuable resource for both students seeking theoretical insights and professionals applying these techniques in real-world scenarios. By addressing how to effectively minimize and manage risks specific to Islamic Finance, the book aims to enhance understanding and practical application in the field.

Written with the express purpose of providing a reference book for students of history, political science, international relations, and Pakistan Studies.