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Utilizing AI and Machine Learning for Natural Disaster Management

by D Satishkumar (Editor), M Sivaraja (Editor)

Publisher ‏ : ‎ IGI Global (April 29, 2024)

Language ‏ : ‎ English

Paperback ‏ : ‎ 380 pages

ISBN-13 ‏ : ‎ 979-8369348277

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www.amazon.com/Utilizing-Machine-Learning-Disaster-Management/dp/B0D33VZRHS/

Acute events of natural origin, spanning atmospheric, biological, geophysical, hydrologic, and oceanographic realms, persistently menace societies globally. Approximately 160 million people annually bear the brunt of these disasters, with certain regions facing disproportionate impacts. The lack of predictability intensifies the challenge, creating intercommunal capacity gaps and amplifying the dire consequences. Utilizing AI and Machine Learning for Natural Disaster Management provides instances of ML in predicting earthquakes. By leveraging seismic data, AI systems can analyze magnitude and patterns, providing invaluable insights to forecast earthquake occurrences and aftershocks. Similarly, the book unveils the potential of ML in simulating floods by recording and analyzing rainfall patterns from previous years. The predictive power extends to hurricanes, where data on wind speed, rainfall, temperature, and moisture converge to anticipate future occurrences, potentially saving millions in property damage.

قیمت و خرید دانلود کتاب Utilizing AI and Machine Learning for Natural Disaster Management

رویدادهای حاد با منشأ طبیعی، که حوزه‌های جوی، بیولوژیکی، ژئوفیزیکی، هیدرولوژیکی و اقیانوس‌شناسی را در بر می‌گیرد، به طور مداوم جوامع جهانی را تهدید می‌کند. تقریباً ۱۶۰ میلیون نفر سالانه متحمل بار این بلایا می‌شوند و مناطق خاصی با تأثیرات نامتناسبی روبرو هستند. عدم پیش‌بینی‌پذیری، این چالش را تشدید می‌کند، شکاف‌های ظرفیت بین جوامع ایجاد می‌کند و عواقب وخیم را تشدید می‌کند. استفاده از هوش مصنوعی و یادگیری ماشینی برای مدیریت بلایای طبیعی، نمونه‌هایی از یادگیری ماشینی را در پیش‌بینی زلزله ارائه می‌دهد. با استفاده از داده‌های لرزه‌ای، سیستم‌های هوش مصنوعی می‌توانند بزرگی و الگوها را تجزیه و تحلیل کنند و بینش‌های ارزشمندی را برای پیش‌بینی وقوع زلزله و پس‌لرزه‌ها ارائه دهند. به طور مشابه، این کتاب با ثبت و تجزیه و تحلیل الگوهای بارندگی از سال‌های گذشته، پتانسیل یادگیری ماشینی را در شبیه‌سازی سیل آشکار می‌کند. قدرت پیش‌بینی به طوفان‌ها نیز گسترش می‌یابد، جایی که داده‌های مربوط به سرعت باد، بارندگی، دما و رطوبت برای پیش‌بینی وقوع آینده همگرا می‌شوند و به طور بالقوه میلیون‌ها نفر را در خسارت به اموال نجات می‌دهند.

Preface……………………………………………………………………………………………………………………………….. xx
Acknowledgment……………………………………………………………………………………………………………..xxvii
Introduction……………………………………………………………………………………………………………………xxviii
Chapter 1
UtilizingAIandMachineLearningforNaturalDisasterManagement:OverviewofMachine
LearningandItsImportanceinDisasterManagement………………………………………………………………… 1
Divya S. V., V.S.B. College of Engineering Technical Campus, Coimbatore, India
Venkadesh P., V.S.B. College of Engineering Technical Campus, Coimbatore, India
Yazhini S., V.S.B. College of Engineering Technical Campus, Coimbatore, India
Shiny K. V., Bharath Institute of Higher Education and Research, Chennai, India
Chapter 2
MachineLearningAlgorithmsforNaturalDisasterPredictionandManagement…………………………. 24
Shanthalakshmi Revathy J., Velammal College of Engineering and Technology, India
Mangaiyarkkarasi J., NMSS Vellaichamy Nadar College, India
Chapter 3
PredictingNaturalDisastersWithAIandMachineLearning…………………………………………………….. 39
P Venkadesh, V.S.B. College of Engineering Technical Campus, Coimbatore, India
Divya S. V., V.S.B. College of Engineering Technical Campus, Coimbatore, India
P Marymariyal, V.S.B. College of Engineering Technical Campus, Coimbatore, India
S. Keerthana, V.S.B. College of Engineering Technical Campus, Coimbatore, India
Chapter 4
PredictiveAnalysisofMachineLearningAlgorithmsApplicableforNaturalDisaster
Management………………………………………………………………………………………………………………………… 65
Nagarani N., Velammal College of Engineering and Technology, India
Ramji T. B., Velammal College of Engineering and Technology, India
Kishorelal A, R., Velammal College of Engineering and Technology, India

Chapter 5
ANNModelforPredictingtheNaturalDisaster:Data-DrivenApproachesforNaturalDisaster
PredictionandMitigation……………………………………………………………………………………………………… 80
Gobinath A., Velammal College of Engineering and Technology, India
Rajeswari P., Velammal College of Engineering and Technology, India
Anandan M., Velammal College of Engineering and Technology, India
Suresh Kumar N., Velammal College of Engineering and Technology, India
Chapter 6
PredictingRainfallbyFuzzyLogic:APreliminaryAnalysisofaCaseStudyinMexico………………. 99
Jaime Santos-Reyes, SEPI-ESIME, ZAC, Instituto Politecnico Nacional, Mexico
Yunue Garcia-Pimentel, Instituto Politécnico Nacional, Mexico
Chapter 7
AComprehensiveInvestigationofUnderwaterDisasterPredictionUsingMachineLearning
Algorithms………………………………………………………………………………………………………………………… 118
Nivethitha R., Velammal College of Engineering and Technology, India
Sivasankari Jothiraj, Velammal College of Engineering and Technology, India
Divya Bharathi P., KLN College of Engineering and Technology, India
Sathish Kumar D., Nehru Institute of Technology, India
Chapter 8
PredictionofEarthquakes,VolcanicEruptions,Tornadoes,Wildfires,andDroughtsThrough
ArtificialIntelligence………………………………………………………………………………………………………….. 133
Selvakumar P., Nehru Institute of Technology, India
Vijayakumar G., Vivekanandha College of Engineering for Women, India
Vigneshkumar P., KGiSL Institute of Technology, India
Umamaheswari M. S., Nehru Institute of Technology, India
Selvamurugan C., Dhaanish Ahmed Institute of Technology, India
Satheesh kumar P., Dr. N.G.P. Institute of Technology, India
Chapter 9
MachineLearningModelsforPredictionofLandslidesintheHimalayas…………………………………. 146
Vikram Singh, Ch. Devi Lal University, Sirsa, India
Sanjay Tyagi, Kurukshetra University, India
Chapter 10
WearableSensorandAIAlgorithmIntegrationforEnhancedNaturalDisasterPreparednessand
Response…………………………………………………………………………………………………………………………… 175
Gobinath A., Velammal College of Engineering and Technology, India
Rajeswari P., Velammal College of Engineering and Technology, India
Suresh Kumar N., Velammal College of Engineering and Technology, India
Anandan M., Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,
India

Chapter 11
ANovelApproachonIoT-BasedNaturalDisasterPredictionandEarlyWarningSystems(EWS).. 189
Karthikeyan Pathinettampadian, Anna University, India & Velammal College of Engineering
and Technology, India
Nagarani N., Velammal College of Engineering and Technology, India
Shivani Suvatheka S., Velammal College of Engineering and Technology, India
Al Mohamed Bilal A., Velammal College of Engineering and Technology, India
Chapter 12
UnleashingMachineWisdom:AGlimpseIntoAI-PoweredTsunamiEarlyWarningSystems…….. 208
Siddique Ibrahim S. P., VIT-AP University, India
Ireddi Rakshitha, VIT-AP University, India
Uppara Nithin, VIT-AP University, India
Lakkakula Namratha, VIT-AP University, India
Naga Sai Rahul V., VIT-AP University, India
Mohammed Abdul Kareem Shaik, VIT-AP University, India
Chapter 13
DisasterandItsImpactonCerebralHealth:MethodologyandPsychologicalEffectsofDisaster…. 227
K. Parimala Gandhi, Nehru Institute of Technology, India
K. Janani, Nehru Institute of Technology, India
Sivaraja M., Nehru Institute of Technology, India
Gomathi P., Study World College of Engineering, India
satishkumar D., Nehru Institute of Technology, India
Chapter 14
AIandMachineLearningAlgorithm-BasedSolutionsforComplicationsinNaturalDisaster……… 237
Sathya D., RV University, India
Siddique Ibrahim S. P., VIT-AP University, India
Jagadeesan D., Kaamadhenu Arts and Science College, India
Chapter 15
PredictingNaturalDisastersWithAIandMachineLearning…………………………………………………… 254
Manjula Devi C., Velammal College of Engineering and Technology, India
Gobinath A., Velammal College of Engineering and Technology, India
Padma Priya S., PSNA College of Engineering and Technology, India
Reshmika K. S., Velammal College of Engineering and Technology, India
Sivakarthi G., Velammal College of Engineering and Technology, India
Chapter 16
DeepLearningandAI-PoweredNaturalCatastrophesWarningSystems…………………………………… 274
Siddique Ibrahim S. P., VIT-AP University, India
Sathya D., RV University, India
Gokulnath B. V., VIT-AP University, India
Selva kumar S., VIT-AP University, India
Jai Singh W., Presidency University, India
Thangavel Murugan, United Arab Emirates University, UAE

Chapter 17
MachineLearning-BasedSeismicActivityPrediction…………………………………………………………….. 293
Ajai V., Velammal College of Engineering and Technology, India
S. Gandhimathi alias Usha, Velammal College of Engineering and Technology, India
B. D. S. Suntosh, Velammal College of Engineering and Technology, India
M. Muthukumar, Velammal College of Engineering and Technology, India
K. Manoj Raj, Velammal College of Engineering and Technology, India
V. Suriyanarayanan, Velammal College of Engineering and Technology, India
Compilation of References………………………………………………………………………………………………… 307
About the Contributors…………………………………………………………………………………………………….. 335
Index………………………………………………………………………………………………………………………………… 338

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