776 research outputs found
Islamic FinTech and Artificial Intelligent (AI) for Assessing Creditworthiness
No full textArtificial Intelligence and Islamic Finance discusses current and potential applications of Artificial Intelligence (AI) for risk management in Islamic finance. It covers various techniques of risk management, encompassing asset and liability management risk, credit, market, operational, liquidity risk, as well as, regulatory and Shariah risk compliance within the financial industry. The authors highlight AI’s ability to combat financial crime such as monitoring trader recklessness, anti-fraud and anti-money laundering and assert that the capacity of Machine Learning (ML) to examine large amounts of data allows for greater granular and profound analyses across a variety of Islamic financial products and services. The book concludes with practical limitations around data management policies, transparency, and lack of necessary skillsets within financial institutions. By adopting new methodological approaches steeped in an Islamic economic framework (e.g., analysing FinTech in the context of Shariah principles and Islamic values), it devises practical solutions and generates insightful knowledge, helping readers to understand and explore the role of technological enablers in the Islamic finance industry, such as RegTech and Artificial Intelligence, in providing better and Shariah-compliant services to customers through digital platforms.
The book will attract a wide readership spanning Shariah scholars, academicians and researchers as well as Islamic financial practitioners and policymakers
Huntsville Times sleeve HT0004587
No full textFeature shots of people at main library - included are kids working at computer in Children's Area and librarian Gabrielle Liddon in International Media Center / Huntsville-Madison County Public Library / Teddy Song (19) / Huntsville / Gabrielle Liddon / Coordinator IMC / Adel Elsayed / Huntsville / Cameron Robinson (12) / Huntsville / Sally Barnett / Head of Youth Services Department / Roxanna Sabghi (7) / Huntsville / [Notes included
Tools from statistical physics for systems biology and for genomics
No full textMy graduate studies involved three broad classes of problems, each of which are presented in different chapters of this thesis. The first two parts of my work were related to studying dynamics of biochemical networks. I studied a mean-field/stochastic model of epigenetic chromatin silencing in yeast. The model gives rise to different dynamical behaviors possible within the same molecular model and provides qualitative predictions that are being investigated experimentally. In another part of my work, I studied a model of segment polarity network in Drosophila and analyzed the parameter space of the system. I particularly studied the relation between the geometry of parameter space and the robustness of the network. I will show that, in addition to the volume, the geometry of this region has important consequences for the robustness and the fragility of a network. A major part of my PhD work involved applications of high-throughput sequencing technologies for extracting information at the genomic level. I present SOPRA, a new algorithm for exploiting the mate pair information for assembly of short reads. I have successfully applied SOPRA to real data and were able to assemble scaffolds of significant length with very few errors introduced in the process.Ph.D.Includes bibliographical referencesIncludes vitaby Adel Dayaria
SAT0283 CLINICAL AND SEROLOGICAL FEATURES OF SYSTEMIC SCLEROSIS IN ITALIAN AND EGYPTIAN PATIENTS
No full textMachine-Mediated Communication of information
No full textDue to the many different perspectives taken when using 'information', it has inevitably become a vague term. In the context of MMC it is defined as the outcome of 'interpretation' when applied to data. Furthermore, MMC is achieved through one of two types of information artefacts: data-based (DB) or knowledge-based (KB). Unlike KB artefacts, the DB ones have been well studied in HCI. This short paper argues that effective communication of KB information must be addressed at two levels, the level of the InfoArtefact and the level of the InfoSpace. For the latter, it is necessary to develop the concept of 'navigationable' InfoSpace. This can be achieved by fusing the semantics of KB InfoAartefacts supported by the provision of visual cues to support navigation in such environments
Data-driven design of fault diagnosis systems: nonlinear multimode processes
No full textIn many industrial applications early detection and diagnosis of abnormal behavior of the plant is of great importance. During the last decades, the complexity of process plants has been drastically increased, which imposes great challenges in development of model-based monitoring approaches and it sometimes becomes unrealistic for modern large-scale processes. The main objective of Adel Haghani Abandan Sari is to study efficient fault diagnosis techniques for complex industrial systems using process historical data and considering the nonlinear behavior of the process. To this end, different methods are presented to solve the fault diagnosis problem based on the overall behavior of the process and its dynamics. Moreover, a novel technique is proposed for fault isolation and determination of the root-cause of the faults in the system, based on the fault impacts on the process measurements. Contents Process monitoring Fault diagnosis and fault-tolerant control Data-driven approaches and decision making Target Groups Graduate students and scientists of automatic control and process engineering Engineers in field of process control and monitoring, mechatronic About the Author Adel Haghani Abandan Sari is research assistant with Institute of Automation, university of Rostock. His research interests include data-driven process monitoring and fault-tolerant control with focus on large-scale industrial processes
Active multimodal presentations, an overview
No full textThis workshop is concerned with a new approach to constructing effective, stand alone, multimodal presentational content, referred to as Active Multimodal Presentation (AMP). This article provides a brief overview of this new type of content, outlines the basic differences between modes of multimodal presentations in general and the tools required for developing them. AMP, as a special type of computerbased multimodal presentation is then discussed, to show that while a bespoke application will make use of the full potential of AMP technology, simpler solutions, based on tools that are readily available, could provide immediate access to such effective means of producing presentations
Stiffness of Coupling Slabs in Shear Wall Buildings
No full textTitle: Stiffness of Coupling Slabs in Shear Wall Buildings, Author: Adel A. Mahmoud, Location: Thode In this thesis, a study was made on the coupling effect of floor slabs on the behaviour of shear wall structures . The slab coupled shear walls were analysed by the finite element technique to obtain the bending stiffness. Experimental verification was done on a small scale model of
steel walls coupled by a steel slab. Design curves to estimate the stiffness of the various slab coupled wall configurations are presented. In addition, a study was made on the influence of the dimensions and shapes of the
walls (plane walls, T-section walls and box core walls), wall openings, and slab dimensions on the effective width and stiffness of the connecting slab.ThesisMaster of Engineering (ME
Disrupting Islamic international trade finance using blockchain technology
No full textThis paper discusses the feasibility of using disruptive technology in Islamic international trade finance by implementing the novel wakalah smart contract based on blockchain technology. It is believed that implementing this innovative approach could facilitate international trade transactions using blockchain technology. Shari’ah-related issues of the novel FinTech enhancement are also highlighted to ensure the model’s Shari’ah compliance. An in-depth and critical review of the current evolution in Islamic Financial Technology (FinTech), international trade, the smart contract, and blockchain technology was undertaken, and is the basis of the proposal to implement the wakalah model based on blockchain technology to enhance international Islamic trade finance. The study finds that the wakalah model of international trade can be implemented on Ethereum blockchain, which is based on the smart contract and tagged as the wakalah smart contract. This is to help facilitate the execution of transactions in a secure, trusted, and faster way compared to the traditional wakalah contract. Islamic financial institutions (IFIs) are encouraged to explore the practicality of this model. This is because the model has the potential to assist entrepreneurs, international business players, and IFIs to address the many issues currently faced by international trade finance. Despite the critical importance of international trade finance (ITF) in supporting global trade and economic transactions, studies in this area have been limited, especially in relation to Islamic banking and finance (IBF). In particular, the Islamic letter of credit introduced by several Islamic banks had its basis in different Shari’ah principles that permitted the banks to participate in the transactions as agents or shareholders in joint venture businesses with the clients. The advent of Islamic FinTech has been a radical development in Islamic banking and finance. Nevertheless, Islamic FinTech has evolved into a very crucial instrument in the Islamic financial industry to develop ITF. Thus, the Islamic FinTech model will be more cost effective and involve digital technology and automation to provide an alternative option to traditional financing
- …
