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Next Generation of Internet of Things
This book includes selected papers from the International Conference on Next Generation of Internet of Things (ICNGIoT 2021), organized by the Department of Computer Science and Engineering, School of Engineering, GIET University, Gunupur, Odisha, India, during 5–6 February 2021. The book covers topics such as IoT network design and architecture, IoT network virtualization, IoT sensors, privacy and security for IoT, SMART environment, social networks, data science and data analytics, cognitive intelligence and augmented intelligence, and case studies and applications.
XXII DAE High Energy Physics Symposium
These proceedings gather invited and contributed talks presented at the XXII DAE-BRNS High Energy Physics (HEP) Symposium, which was held at the University of Delhi, India, on 12–16 December 2016. The contributions cover a variety of topics in particle physics, astroparticle physics, cosmology and related areas from both experimental and theoretical perspectives, namely (1) Neutrino Physics, (2) Standard Model Physics (including Electroweak, Flavour Physics), (3) Beyond Standard Model Physics, (4) Heavy Ion Physics & QCD (Quantum Chromodynamics), (5) Particle Astrophysics & Cosmology, (6) Future Experiments and Detector Development, (7) Formal Theory, and (8) Societal Applications: Medical...
Cabinet Responsibility to Legislature
With reference to Indian parliament and state legislatures.
MACHINE LEARNING
The present book is primarily intended for undergraduate and postgraduate students of computer science and engineering, information technology, and electrical and electronics engineering. It bridges the gaps in knowledge of the seemingly difficult areas of machine learning and nature inspired computing. The text is written in a highly interactive manner, which satisfies the learning curiosity of any reader. Content of the text has been diligently organized to offer seamless learning experience. The text begins with introduction to machine learning, which is followed by explanation of different aspects of machine learning. Various supervised, unsupervised, reinforced and nature inspired learn...
Data Mining and Big Data
This book constitutes refereed proceedings of the 5th International Conference on Data Mining and Big Data, DMBD 2020, held in July 2020. Due to the COVID-19 pandemic the conference was held in a fully virtual format. The 7 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 39 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc.
Life in the Universe
H. BALTSCHEFFSKYChairman Department of Biochemistry and Biophysics, Arrhenius Laboratories, Stockholm University, S-106 91 Stockholm, Sweden. Professor Stanley Miller, Professor K. R. Srinivasan, Organizers and Sponsors of this Conference, Ladies and Gentlemen; WearegettingreadyfortheAbdusSalamLecture, honoringtwomostdistinguishedsci- tists. Bothhaveverysigni?cantlycontributedtotherapidgrowthofthesphereoffun- mentalknowledgeinthesecondhalfofthetwentiethcentury. Abdus Salam, theoreticalphysicist, NobelPrizewinner, creatorandlongtimeleader of The Abdus Salam Center of Theoretical Physics. With his active interest in the origin oflifeheplayedaleadingroleininstigatingtheseconferencesonChemicalEv...
Internet of Things and AI for Natural Disaster Management and Prediction
In a world where natural disasters wreak havoc with increasing frequency and severity, the need for accurate prediction and effective management has never been more critical. From earthquakes shattering communities to floods submerging vast regions, these events endanger lives and strain resources and infrastructure to their limits. Yet, amidst this turmoil, traditional forecasting methods often need to catch up, leaving us vulnerable and reactive rather than proactive. This comprehensive academic collection provides a beacon of hope in uncertain circumstances: Internet of Things and AI for Natural Disaster Management and Prediction. By bridging the gap between theory and practice, this book empowers academics, policymakers, and practitioners alike to harness the full potential of machine learning in safeguarding lives and livelihoods.
DISASTER RISK REDUCTION IN SOUTH ASIA
South Asia represents a region highly prone to natural disasters. Disasters not only disrupt the normal life of the affected communities and the countries but also impede developmental efforts. By and large, the approach of the major stakeholders has been 'reactive' rather than 'proactive'. There is indeed, a dire need for concerted and well-planned efforts to achieve risk reduction through risk identification, and sharing and transfer of information. This edited volume explores how the risk of disasters can be reduced by structural and non-structural measures with detailed, comprehensive and participatory strategies. Twenty-seven contributors, both academicians and practitioners, investigat...
