Moonis Ali

Modern Approaches in Applied Intelligence

The two volume set LNAI 6703 and LNAI 6704 constitutes the thoroughly refereed conference proceedings of the 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligend Systems, IEA/AIE 2011, held in Syracuse, NY, USA, in June/July 2011. The total of 92 papers selected for the proceedings were carefully reviewed and selected from 206 submissions. The papers cover a wide number of topics including feature extraction, discretization, clustering, classification, diagnosis, data refinement, neural networks, genetic algorithms, learning classifier systems, Bayesian and probabilistic methods, image processing, robotics, navigation, optimization, scheduling, routing, game theory and agents, cognition, emotion, and beliefs

Advanced Research in Applied Artificial Intelligence

We propose a complete framework for automatic detailed facial feature localization. Feature points and contours of the eyes, the nose, the mouth and the chin are of interest. Face detection is performed followed by the region detection that locates a rough bounding box of each facial component, and detailed features are then extracted within each bounding box. Since the feature points lie on the shape contours, we start from shape contour extraction, and then detect the feature points from the extracted contours. Experimental results show the robustness and accuracy of our methods. The main application of our work is automatic diagnosis based on facial features.

Developing Concepts in Applied Intelligence

The series Studies in Computational Intelligence (SCI) publishes new developments and advances in the various areas of computational intelligence quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life science, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems and hybrid intelligent systems. Critical to both contributors and readers are the short publication time and world-wide distribution this permits a rapid and broad dissemination of research results.The field of Artificial Intelligence developed important concepts for simulating human intelligence. Its sister field, Applied Intelligence, has focused on techniques for developing intelligent systems for solving real life problems in all disciplines including science, social science, art, engineering, and finance. The objective of the International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE) is to promote and disseminate research in Applied Intelligence. It seeks quality papers on a wide range of topics in applied intelligence that are employed in developing intelligent systems for solving real life problems in all disciplines. Every year this conference brings together scientists, engineers and practitioners, who work on designing and developing applications that use intelligent techniques or work on intelligent techniques and apply them to application domains. The book is comprised of seventeen chapters providing up-to-date and state-of-the-art research on the applications of applied Intelligence techniques.

Modern Advances in Applied Intelligence

The winner determination problem (WDP) in combinatorial double auctions suffers from computation complexity. In this paper, we attempt to solve the WDP in combinatorial double auctions based on an agent learning approach. Instead of finding the exact solution, we will set up a fictitious market based on multi-agent system architecture and develop a multi-agent learning algorithm to determine the winning bids in the fictitious market to reduce the computational complexity in solving the WDP in combinatorial double auctions. In the fictitious market, each buyer and each seller is represented by an agent. There is a mediator agent that represents the mediator. The issue is to develop learning algorithms for all the agents in the system to collectively solve the winner determination problem for combinatorial double auctions. In this paper, we adopt a Lagrangian relaxation approach to developing efficient multi-agent learning algorithm for solving the WDP in combinatorial double auctions. Numerical results indicate our agent learning approach is more efficient than the centralized approach.

Modern Advances in Intelligent Systems and Tools

Intelligent systems provide a platform to connect the research in artificial intelligence to real-world problem solving applications. Various intelligent systems have been developed to face real-world applications. This book discusses the modern advances in intelligent systems and the tools in applied artificial intelligence. It consists of twenty-three chapters authored by participants of the 25th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2012) which was held in Dalian, China. This book is divided into six parts, including Applied Intelligence, Cognitive Computing and Affective Computing, Data Mining and Intelligent Systems, Decision Support Systems, Machine Learning, and Natural Language Processing. Each part includes three to five chapters. In these chapters, many approaches, applications, restrictions, and discussions are presented. The material of each chapter is self-contained and was reviewed by at least two anonymous referees to assure the high quality. Readers can select any individual chapter based on their research interests without the need of reading other chapters. We hope that this book provides useful reference values to researchers and students in the field of applied intelligence. We also hope that readers will find opportunities and recognize challenges through the papers presented in this book.

Current Approaches in Applied Artificial Intelligence

Managing uncertainty in risk assessment is a crucial issue for better decision making and especially when it is adapted to the three standards ISO 9001, OHSAS 18001 and ISO 14001. This paper proposes a new risk assessment approach able to manage risk in the context of integrated management system (IMS-QSE) while taking into account the uncertainty characterizing the whole process. The proposed approach is mainly based on fuzzy set theory and Monte Carlo simulation to provide an appropriate risk estimation values and adequate decisions regarding the three management systems Quality, Security and Environment. In order to show the effectiveness of our approach, we have performed simulations on real database in the petroleum field at TOTAL TUNISIA

Advances in Artificial Intelligence: From Theory to Practice

Scientific creativity and innovation is at the heart of scientific research which represents the essential driving force for economic growth. In this talk, I will talk about the latest development of a European Commission funded project, called the Dr Inventor, whose objective is to develop a prototype of scientific creativity model for enhancing scientific innovation. It is built on the vision that technologies have great potential to supplement and elevate human ingenuity by overcoming the limitations that people suffer in pursuing scientific discoveries. By exploiting the rich availability of web-based research resources, our research develops a virtual personal research assistant, utilising machine-empowered search and cognitive computation to bring scientific researchers novel and thought-provoking perspectives for scientific development. Dr Inventor is built on a cognitive model of the human ability to reason using analogies. An analogy is a comparison between two seemingly different ideas, which highlights some previously unnoticed similarities. Many scientists are familiar with the notion that a development in one field can have significant implications in another field, which suggests that an approach developed to solve a problem in one domain may be just as (or even more) applicable to another discipline. The project has been developed with an initial focus on the discipline of computer graphics, which can be extended to other disciplines.

Intelligence Systems: Trends and Challenges

This Conference Report focuses on the 30th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE-2017) which was held in Arras, France June 25 – 30, 2017. The conference was sponsored by the International Society of Applied Intelligence (ISAI) in cooperation with AAAI, SIGAI/ACM, and several other international organizations. This is an annual event. The first conference, IEA/AIE-1988, was organized in 1988 in Tullahoma Tennessee. Since then conference has been held internationally in many countries including Germany, Scotland, Australia, Spain, Egypt, Hungary, England, Italy, France, Japan, Poland, China, Taiwan, Netherlands, and South Korea. The conference has always been sponsored by ISAI and all conferences have been held in cooperation of AAAI. The conference provides a medium for presenting, publishing and communicating about the scientific research and technological achievements accomplished by the international community.