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Author: H. L. Prajapati
Publisher: Mittal Publications
ISBN: 9788170998914
Category : Bhopal Union Carbide Plant Disaster, Bhopal, India, 1984
Languages : en
Pages : 272
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Book Description
The Author, Adm Of Bhopal At The Time Of The Union Carbide Gas Tragedy Was Actively Involved In The Relief And Rehablitation Work Among The Helpless Victims. This Is His Eye-Witness Account.
Author: H. L. Prajapati
Publisher: Mittal Publications
ISBN: 9788170998914
Category : Bhopal Union Carbide Plant Disaster, Bhopal, India, 1984
Languages : en
Pages : 272
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Book Description
The Author, Adm Of Bhopal At The Time Of The Union Carbide Gas Tragedy Was Actively Involved In The Relief And Rehablitation Work Among The Helpless Victims. This Is His Eye-Witness Account.
Author: Amitabh Kundu
Publisher: Concept Publishing Company
ISBN:
Category : Government business enterprises
Languages : en
Pages : 204
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Book Description
Economic study of the impact of Bharat Heavy Electricals Limited on Bhopal City.
Author:
Publisher:
ISBN:
Category : Labor laws and legislation
Languages : en
Pages : 460
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Book Description
Author: India. Office of the Registrar
Publisher:
ISBN:
Category : India
Languages : en
Pages : 990
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Book Description
Author: MJF Lion Pradip M Parekh, District Governor
Publisher: Signpost Celfon.In Technology
ISBN:
Category :
Languages : en
Pages : 295
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Book Description
Lions District Directory for District 3231A1 is published for the First Time, after its formation during the centennial year, by its District Governor MJF Lion Pradip M Parekh. The Print edition gives entire details of all its Clubs, Club Members, Office Bearers, Lion Leaders like ZC, RC, Core Cabinet, DG Team etc. This Digital Edition is published to enable portability of information through Smart Mobile Phones and eReaders, Lions Carry.
Author: Nagendra Singh
Publisher: CRC Press
ISBN: 1000921786
Category : Computers
Languages : en
Pages : 235
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Book Description
An electrical power system consists of a large number of generation, transmission, and distribution subsystems. It is a very large and complex system; hence, its installation and management are very difficult tasks. An electrical system is essentially a very large network with very large data sets. Handling these data sets can require much time to analyze and subsequently implement. An electrical system is necessary but also potentially very dangerous if not operated and controlled properly. The demand for electricity is ever increasing, so maintaining load demand without overloading the system poses challenges and difficulties. Thus, planning, installing, operating, and controlling such a large system requires new technology. Artificial intelligence (AI) applications have many key features that can support a power system and handle overall power system operations. AI-based applications can manage the large data sets related to a power system. They can also help design power plants, model installation layouts, optimize load dispatch, and quickly respond to control apparatus. These applications and their techniques have been successful in many areas of power system engineering. Artificial Intelligence Techniques in Power Systems Operations and Analysis focuses on the various challenges arising in power systems and how AI techniques help to overcome these challenges. It examines important areas of power system analysis and the implementation of AI-driven analysis techniques. The book helps academicians and researchers understand how AI can be used for more efficient operation. Multiple AI techniques and their application are explained. Also featured are relevant data sets and case studies. Highlights include: Power quality enhancement by PV-UPQC for non-linear load Energy management of a nanogrid through flair of deep learning from IoT environments Role of artificial intelligence and machine learning in power systems with fault detection and diagnosis AC power optimization techniques Artificial intelligence and machine learning techniques in power systems automation
Author: Christophe Jaffrelot
Publisher: Penguin Books India
ISBN: 9780140246025
Category : Hinduism
Languages : en
Pages : 624
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Book Description
Although The Peaceful, Inward-Looking Doctrine Of The Hindu Religion Hardly Seems To Lend Itself To Endemic Nationalism, A Phenomenal Surge Of Militant Hinduism Has Taken Place Over The Last Ten Years In India. Indeed, The Electoral Success Of The Hindu Nationalist Bharatiya Janata Party (Bjp) Has Proven Beyond Doubt That These Forces Now Pose A Significant Threat To India S Secular Character. In A Historically Rich, Detailed Account Of The Hindu Nationalist Movement In India Since The 1920S, Christopher Jaffrelot Explores How Rapid Changes In The Political, Social, And Economic Climate Have Made India Fertile Soil For The Growth Of The Primary Arm Of Hindu Nationalism, A Paramilitary-Style Group Known As The Rashtriya Swayamsevak Sangh (Rss), Together With Its Political Offshoots. He Shows How The Hindu Movement Uses Religion To Enter The Political Sphere, And Argues That The Ideology They Speak For Has Less To Do With Hindu Philosophy Than With Ethnic Nationalism The Hindu Nationalist Movement And Indian Politics Makes A Major Contribution To The Study Of The Genesis And Development Of Religious Nationalism, And Is Essential Reading For Anyone Who Seeks To Comprehend The Spread Of Endemic Conflict.
Author: Pushpdant Jain
Publisher: CRC Press
ISBN: 1000882586
Category : Technology & Engineering
Languages : en
Pages : 535
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Book Description
Multi-criteria decision-making (MCDM) has gained vast popularity for its ability to help make decisions in the presence of various similar and conflicting choices.This new volume applies the MCDM theory to solving problems and challenges in manufacturing environments. It discusses using MCDM computational methods to evaluate and select the most optimal solution or method for real-world, real-time manufacutring engineering issues. It details the decision-making process in relation materials selection; identification, assessment, and evaluation of risk; sustainability assessment; selection of green suppliers; and more. The chapter authors demonstrate the application of myriad MCDM techniques in decision-making, including MADM (multiple attribute decision-making), DEA (data envelopment analysis), fuzzy TOPSIS (technique for order preference by similarities to ideal solution), fuzzy-VIKOR (multicriteria optimization and compromise solution); MOORA (multi-objective optimization on the basis of ratio analysis), EWM (entropy weight method), (AHP) analytic hierarchy process, TODIM (TOmada de Decisao Interativa Multicriterio), and others. The volume illustrates these MCDM models in several industries and industrial processes, including for experimental analysis and optimization of drilling of glass fiber reinforced plastic, in the textile industries, for selection of refrigerants for domestic applications, and others.
Author: Harish Sharma
Publisher: Springer Nature
ISBN: 9819720532
Category :
Languages : en
Pages : 459
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Book Description
Author: K. Murugeswari
Publisher: CRC Press
ISBN: 1040021379
Category : Medical
Languages : en
Pages : 309
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Book Description
Deep learning can provide more accurate results compared to machine learning. It uses layered algorithmic architecture to analyze data. It produces more accurate results since learning from previous results enhances its ability. The multi-layered nature of deep learning systems has the potential to classify subtle abnormalities in medical images, clustering patients with similar characteristics into risk-based cohorts, or highlighting relationships between symptoms and outcomes within vast quantities of unstructured data. Exploring this potential, Deep Learning for Smart Healthcare: Trends, Challenges and Applications is a reference work for researchers and academicians who are seeking new ways to apply deep learning algorithms in healthcare, including medical imaging and healthcare data analytics. It covers how deep learning can analyze a patient’s medical history efficiently to aid in recommending drugs and dosages. It discusses how deep learning can be applied to CT scans, MRI scans and ECGs to diagnose diseases. Other deep learning applications explored are extending the scope of patient record management, pain assessment, new drug design and managing the clinical trial process. Bringing together a wide range of research domains, this book can help to develop breakthrough applications for improving healthcare management and patient outcomes.
