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This book encapsulates the potential and opportunities within Rural India, particularly the small enterprises and the private sector. The papers and essays that are covered here include start-up scenarios, SMEs, farm economics, entrepreneurship and enterprise policy aspects, sustainable development goals(SDGs) and rural economy, to mention a few. There are also sector specific studies on handicraft and Chikankari embroidery enterprises, women entrepreneurs of Kashmir valley and tribal entrepreneurship. Rural tourism, skill development and digital marketing are some other areas that are covered. The crux of this book is that rural enterprises and business ventures are quickly getting transfor...
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Reports for 1958-1970 include catalogues of newspapers published in each state and Union Territory.
"Akashvani" (English) is a programme journal of ALL INDIA RADIO, it was formerly known as The Indian Listener. It used to serve the listener as a bradshaw of broadcasting ,and give listener the useful information in an interesting manner about programmes, who writes them, take part in them and produce them along with photographs of performing artists. It also contains the information of major changes in the policy and service of the organisation. The Indian Listener (fortnightly programme journal of AIR in English) published by The Indian State Broadcasting Service, Bombay, started on 22 December, 1935 and was the successor to the Indian Radio Times in English, which was published beginning ...
The book intends to cover various problematic aspects of emerging smart computing and self-adapting technologies comprising of machine learning, artificial intelligence, deep learning, robotics, cloud computing, fog computing, data mining algorithms, including emerging intelligent and smart applications related to these research areas. Further coverage includes implementation of self-adaptation architecture for smart devices, self-adaptive models for smart cities and self-driven cars, decentralized self-adaptive computing at the edge networks, energy-aware AI-based systems, M2M networks, sensors, data analytics, algorithms and tools for engineering self-adaptive systems, and so forth. Acts a...
1. ‘Success For All’ - best selling E-Book series from Class 6th -10th 2. It Covers complete theory, practice and assessment of English for Class 10. 3. The guide has been divided into 3 Sections giving coverage to the syllabus. 4. Each Chapter is supported by detailed theory, illustrations, all types of questions. 5. Every topic covers NCERT Questions. 6. Every Chapter accompanies Summary and Exam Practice for quick revision. Arun Deep’s SUCCESS FOR ALL needs no introduction, the best selling academic series that is prepared to provide Complete Study, Practice & Assessment to ensure better learning. With the current edition of “Success For All – English Language & Literature for C...
Lean Manufacturing is defined as efficient approach to identifying and eliminating waste (non–value add activities) through regular improvement flowing the product in the pull of the customer in reach of perfection. Lean manufacturing is often simply "lean", is a systematical method for the leave out of waste ("Muda") within a manufacturing system. Lean also takes into account waste created through overwhelm ("Muri") and waste created through imperfection in workloads ("Mura"). Working from the angle of the client who consumes a product, "value" is any action or process that a customer want to pay for. “ To solve the problem of waste, Lean Manufacturing has number of tools at its disposal. These include continuous process improvement the ‘5 Ways’ and mistake-proofing. Thus it can be seen as taking a very similar approach to other improvement procedure.”
This book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2022), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during April 21–22, 2022. It covers recent advances in the field of soft computing techniques such as fuzzy logic, neural network, support vector machines, evolutionary computation, machine learning and probabilistic reasoning to solve various real-time challenges. This book presents innovative work by leading academics, researchers, and experts from industry.