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Machine Learning and Information Processing
This book includes selected papers from the International Conference on Machine Learning and Information Processing (ICMLIP 2019), held at ISB&M School of Technology, Pune, Maharashtra, India, from December 27 to 28, 2019. It presents the latest developments and technical solutions in the areas of advanced computing and data sciences, covering machine learning, artificial intelligence, human–computer interaction, IoT, deep learning, image processing and pattern recognition, and signal and speech processing.
A Model for Islamic Development
This book aims to explore and analyse Islamic Moral Economy (IME) as an alternative economic and social system to capitalism and socialism. It proposes a new model of Islamic development, integrating global development within an Islamic framework of spiritual development. It is argued that the failure of Muslim countries to provide basic necessities and an environment free of oppression and injustice can be overcome with this authentic Islamic development framework. In addition, this book can be an important study to identify the theological, political, social and economic boundaries for changing the society to produce IME oriented developmentalism.
Internet of Things-Based Machine Learning in Healthcare
The Internet of Medical Things (IoMT) is a system that collects data from patients with the help of different sensory inputs, e.g., an accelerometer, electrocardiography, and electroencephalography. This text presents both theoretical and practical concepts related to the application of machine learning and Internet of Things (IoT) algorithms in analyzing data generated through healthcare systems. Illustrates the latest technologies in the healthcare domain and the Internet of Things infrastructure for storing smart electronic health records Focuses on the importance of machine learning algorithms and the significance of Internet of Things infrastructure for healthcare systems Showcases the ...
Islamic Microfinance
Islamic microfinance is one of the most important sectors of Islamic social finance, which plays a very important role in curbing poverty and improving the standard of living, per capita income, employment level as well as achieving Maqasid al-Shariah, profitability and sustainability. This role of Islamic microfinance has become more crucial in the pandemic period. It has been clearly witnessed in developing countries such as Pakistan and Bangladesh, how Islamic microfinance institutions helped deprived and affected communities during the pandemic. Another important development during the pandemic was the introduction of blended models of Islamic microfinance such as waqf-based Islamic micr...
Microfinance In Asia
Lack of credit access is severe in low income and poor families that are normally considered to have fewer opportunities to borrow from banks due to insufficient valuable assets for collateral. These low-income households face limited opportunity to acquire new technology and working capital for agricultural production and thus tend to fall behind. As a result, providing access to finance to low-income rural households has been considered an important component of any rural development strategy. Microfinance programmes, in particular, have been gradually embedded in national strategies of many developing countries as they are poverty-focused. They aim to facilitate the access to financial services such as credit for the poor who are usually disadvantaged in terms of access to conventional financial services from formal financial institutions. The objective of this book is to provide an overview of microfinance programmes in Asia focusing in particular on the determinants of the accessibility of rural households to microcredit. The book studies seven Asian countries such as China, Malaysia, Vietnam, Thailand, the Philippines, Indonesia, and Bangladesh with two specific case studies.
Intelligent Data Engineering and Automated Learning – IDEAL 2023
This book constitutes the proceedings of the 24th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2023, held in Évora, Portugal, during November 22–24, 2023. The 45 full papers and 4 short papers presented in this book were carefully reviewed and selected from 77 submissions. IDEAL 2023 is focusing on big data challenges, machine learning, deep learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models, agents and hybrid intelligent systems, and real-world applications of intelligence techniques and AI. The papers are organized in the following topical sections: main track; special session on federated learning and (pre) aggregation in machine learning; special session on intelligent techniques for real-world applications of renewable energy and green transport; and special session on data selection in machine learning.
Business Models In Islamic Microfinance
This book is a compilation of papers presented in a thematic workshop on business models in Islamic microfinance, organized by International Islamic University Islamabad, Islamic Research and Training Institute (IRTI), and Agricultural Bank of Sudan. The objective of the workshop was to discuss specific Islamic microfinance business models and best practices, as well as the most advanced experiences at the international level.
Islamic Finance
Islamic finance often faces numerous challenges in a dynamic marketplace. This book aims to discuss contemporary issues and challenges in Islamic finance to inform discussions surrounding the governance system, the Islamic legal system, prudential regulations, Islamic home financing, and Islamic microfinance. Furthermore, corporate social responsibility (CSR), Islamic accounting, risk management, Basel Accord, and Shari'ah governance systems are discussed in the book. Despite the relevance of these issues in Islamic finance, only a few reference sources exist. This book will provide a guide for academics, students, and banking professionals to acquaint them with the theory and practice of Islamic finance, filling a needed gap.
