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The Hawala Agent
Digyen Burmah is a forensic auditor and corporate spy. An old friend needs his help in finding his wife and co-worker, who mysteriously vanished during an official tour. Apparently, the company is also frantically trying to find his elusive wife. Burmah investigates the company and unearths shady deals in tax havens, transactions with hawala agents, cash payments to influence Indian elections and many more shocking details. Did his friend’s wife know too much? Or was she a conduit in the hawala channel used to transport money across borders? Whose money is it? What agenda is the company pursuing in the garb of developing software? Based on true stories from income tax raids, The Hawala Agent brings to fore how hawala is used to launder money and finance extremism.
The Looming Epidemic
Collection of articles based on research findings.
Homoeopathy Made Easy
Dr K Chaudhry is First Author of Jaypee Brothers, Number One Medical Publishers in India. First book of Dr K Chaudhry, as also of Jaypee Brothers, was published during the year 1968. In addition, Dr K Chaudhry is Youtube Celebrity with fans in all Countries. He is Famous for his English Versions of Bollywood and Pakistani Songs. Patrick French's India A Portrait has three pages on Dr K Chaudhry. His versatility shows up in his Horoscope software, Global Malls Yellow Pages, BMI Registered lyrics. Google DOCTORKC to view Abhishek Bachhan tweet, Patrich French interactions, and huge number of songs.
Contemporary Research and Practices for Promoting Financial Literacy and Sustainability
The global economy is undergoing profound shifts, powered by technological advancements and financial innovations, reshaping the role of finance in ways we've never seen before. As these forces reshape the world of finance, it becomes increasingly essential for academic scholars, practitioners, and future finance professionals to stay ahead of the curve, understanding the latest developments and trends. The problem is that finance education and practice often struggle to keep pace with these transformative changes. Standard textbooks and curricula tend to lag behind advancements in the field, leaving aspiring accountants and finance practitioners ill-prepared to tackle the challenges and opp...
Revolutionizing Automated Waste Treatment Systems: IoT and Bioelectronics
As the world grapples with pressing environmental challenges, the need for sustainable solutions has never been more urgent. From climate change to resource depletion, our planet faces unprecedented threats that require immediate action. Revolutionizing Automated Waste Treatment Systems: IoT and Bioelectronics emerge as a beacon of hope, offering comprehensive insights and practical guidance to address these critical issues. By delving into the principles and applications of green technologies, this book presents a roadmap towards a greener, more sustainable future. Recognizing the essential role that green technologies play in mitigating environmental degradation, this book emphasizes concepts such as smart technologies, bioelectronics, and the internet of things. It also illustrates how these innovations can be leveraged to create a more sustainable world. Readers will be educated on the importance of adopting these technologies, and the book provides actionable strategies for implementation. Use this impressive resource to grasp a more holistic approach to environmental sustainability, from designing green infrastructure to managing water resources.
Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems
This reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advanced techniques like wearable technologies and image processing in the sector. Features: Focuses on the use of artificial intelligence (AI) in healthcare with issues, applications, and prospects Presents the application of artificial intelligence in medical imaging, fractionalization of early lung tumour detection using a low intricacy approach, etc Discusses an artificial intelligence perspective on wearable technology Analyses cardiac dynamics and assessment of arrhythmia by classifying heartbeat using electrocardiogram (ECG) Elaborates machine learning models for early diagnosis of depressive mental affliction This book serves as a reference for students and researchers analyzing healthcare data. It can also be used by graduate and post graduate students as an elective course.
Enhancing the Modern Workforce Through Transhumanism
Technological enhancements are transforming the modern workforce through transhumanism, a movement that explores the integration of advanced technology with human capabilities. By leveraging innovations such as brain-computer interfaces, augmented reality, and AI-driven cognitive tools, organizations can amplify employee potential while redefining productivity and creativity. These technologies also enable workers to enhance cognitive functions and adapt to complex tasks. As transhumanist ideals become prevalent, businesses must use this lens to create a more agile and capable workforce, where human and machine collaboration leads to efficiency and innovation. Enhancing the Modern Workforce ...
Using Machine Learning to Detect Emotions and Predict Human Psychology
In the realm of analyzing human emotions through Artificial Intelligence (AI), a myriad of challenges persist. From the intricate nuances of emotional subtleties to the broader concerns of ethical considerations, privacy implications, and the ongoing battle against bias, AI faces a complex landscape when venturing into the understanding of human emotions. These challenges underscore the intricate balance required to navigate the human psyche with accuracy. The book, Using Machine Learning to Detect Emotions and Predict Human Psychology, serves as a guide for innovative solutions in the field of emotion detection through AI. It explores facial expression analysis, where AI decodes real-time e...
Ethics in Artificial Intelligence: Bias, Fairness and Beyond
This book is a collection of chapters in the newly developing area of ethics in artificial intelligence. The book comprises chapters written by leading experts in this area which makes it a one of its kind collections. Some key features of the book are its unique combination of chapters on both theoretical and practical aspects of integrating ethics into artificial intelligence. The book touches upon all the important concepts in this area including bias, discrimination, fairness, and interpretability. Integral components can be broadly divided into two segments – the first segment includes empirical identification of biases, discrimination, and the ethical concerns thereof in impact assessment, advertising and personalization, computational social science, and information retrieval. The second segment includes operationalizing the notions of fairness, identifying the importance of fairness in allocation, clustering and time series problems, and applications of fairness in software testing/debugging and in multi stakeholder platforms. This segment ends with a chapter on interpretability of machine learning models which is another very important and emerging topic in this area.
