Kumar Bibek (18 results)

Hardcover. Condition: New. Safety and security lie at the heart of the prosperity of a nation. Real security is not only based on growth, reform and change or, what can be described as all-round development of the nation, but also enhanced focus on the borders given the escalation of tension. While trust and collaboration are central to a systematic approach to security, it is cohesively strung on three core objectives: effective diplomacy and military capabilities; bolstering economic prosperity; and providing governance and promoting democratic values. They present formidable challenges and are not easy to achieve, but under Modi s thinking thoroughly leadership, there has been an earnest movement with long-term strategic planning and review. Alert to the changing threat landscape, the NDA government reasoned that any compartmentalised orsilo-driven approach to national security required a fresh integrated approach. New institutional mechanisms and structures were put in place. Never before has decision-making and policy responses undergone such fundamental changes that draw in the value of pre-emptive, proactive and graded responses. This evocative volume brings out a comprehensive treatment of the important aspects of national security under Modi 2.0 government.

Condition: New. pp. 1224.

Condition: New. pp. 1224.

Condition: New. pp. 1224.

Hardcover. Condition: New. Climate change and energy security are interconnected and are two sides of the same coin. The increasing share of non-hydrocarbon or non-fossil energy, as evidence suggests, will help in significant reduction in carbon emissions. There is now broadly a global drive to expand energy sources and increase energy efficiency, both in distribution and consumption in order to mitigate climate change, reduce energy dependency, and minimize energy price volatility. India has shown the world what it takes to be a climate leader. The UN Environment Programme in 2018 recognized Prime Minister Modi for his bold environmental leadership on the global stage. Energy transition will be the most important pillar for climate action for the country and for this India is rapidly crafting a sturdy ecosystem to enable the transformation through technology readiness, capacity upgrade, climate finance, regulatory reforms and new and innovative business models, which will together help in achieving India`s climate and sustainable development goals. This volume presents a well-integrated collection of chapters from distinguished decision-makers, influential opinion makers, and eminent experts creating in the process a synergy of views supporting India`s transition to affordable and sustainable energy that not only reduces emissions, but spurs economic growth and promotes sustainable climate investments.

Hardcover. Condition: New. Paperback. An unused, unmarked and unblemished copy.; 100% Satisfaction Guaranteed! Ships same or next business day!

Condition: New. In.

Condition: New.

Condition: New. 1st edition NO-PA16APR2015-KAP.

Paperback. Condition: Brand New. 944 pages. 9.00x7.25x1.75 inches. In Stock.

Condition: New.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book covers the contents of my Ph.D work. The despeckling concept of synthetic aperture radar (SAR) imagery and object recognition and classification of the SAR imagery dataset has been covered. The various available literature with their pros and cons and tried to overcome them with a new approach by utilizing some optimization methods has been explained. The SAR image despeckling process has been covered by introducing a new framework in which I have applied a fruit fly optimization algorithm to enhance the execution time and also improved the smoothness of the images without losing any image information. Different machine learning algorithms have been used to compare the classification result based on original SAR imagery and despeckled SAR imagery. Experimental results depict found the improved performance in terms of different parameters. 156 pp. Englisch.

Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumar BibekBibek Kumar, PhD in Computer Science Engineering Engineering (DIT University Dehradun), MTech from NIT Hamirpur, B.Tech from Galgotia College of Engineering and Technology Greater Noida. Bibek Kumar has over 15 years of te.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book covers the contents of my Ph.D work. The despeckling concept of synthetic aperture radar (SAR) imagery and object recognition and classification of the SAR imagery dataset has been covered. The various available literature with their pros and cons and tried to overcome them with a new approach by utilizing some optimization methods has been explained. The SAR image despeckling process has been covered by introducing a new framework in which I have applied a fruit fly optimization algorithm to enhance the execution time and also improved the smoothness of the images without losing any image information. Different machine learning algorithms have been used to compare the classification result based on original SAR imagery and despeckled SAR imagery. Experimental results depict found the improved performance in terms of different parameters.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 156 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book covers the contents of my Ph.D work. The despeckling concept of synthetic aperture radar (SAR) imagery and object recognition and classification of the SAR imagery dataset has been covered. The various available literature with their pros and cons and tried to overcome them with a new approach by utilizing some optimization methods has been explained. The SAR image despeckling process has been covered by introducing a new framework in which I have applied a fruit fly optimization algorithm to enhance the execution time and also improved the smoothness of the images without losing any image information. Different machine learning algorithms have been used to compare the classification result based on original SAR imagery and despeckled SAR imagery. Experimental results depict found the improved performance in terms of different parameters.

Condition: new. Questo è un articolo print on demand.