Explore the concepts of address prediction, recovery, and interrupt recovery in EECS 470 lecture featuring slides developed by prominent professors. Topics include branch predictors, limitations of Tomasulo's Algorithm, various prediction schemes, branch history tables, and more. Dive into bimodal,

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A devastating 7.8 magnitude earthquake hit Nepal, causing widespread damage and leaving 2.8 million people homeless. Families are desperate for shelter as monsoon rains approach. Habitat is mobilizing engineers to assess damage, provide emergency shelter kits, and support long-term rebuilding effort

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Earthquake forces can lead to structural failure in buildings, posing a risk to lives and properties. Proper planning, reinforcement, and design elements such as bracing walls and tied members are essential for ensuring safety against earthquake forces. Additionally, consideration of soil type, qual

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Exploring the fundamentals of MPEG-4 Part 10, also known as H.264/AVC, this overview delves into the codec flow, macroblocks, slices, profiles, reference picture management, inter prediction techniques, motion vector compensation, and intra prediction methods used in this advanced video compression

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Enhance your safety preparedness with Building Safety Coordinator Training, Emergency Preparedness resources, Communication Resources, Fire Safety procedures, and Earthquake Safety measures. Learn about fire extinguisher use, fire response procedures, earthquake safety considerations, and the seven

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Efficient air pollution monitoring and prediction models are essential due to the increasing urbanization trend. This research aims to develop novel attention-based long-short term memory models for accurate air pollution prediction. By leveraging machine learning and deep learning approaches, the s

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Explore the significance of State of Charge (SOC) prediction in lithium-ion batteries, focusing on battery degradation models, voltage characteristics, accurate SOC estimation, SOC prediction methodologies, and testing equipment like Digatron Lithium Cell Tester. The content delves into SOC manageme

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KFRE, a validated risk prediction tool, aids in predicting the need for kidney replacement therapy in adults with chronic kidney disease. Developed in Canada in 2011, KFRE has undergone validation in over 30 countries, showing superior clinical accuracy in KRT prediction. Caution is advised when usi

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Exploring the correlation between the 2015-16 drought and the 2018 earthquake in Papua New Guinea offers valuable insights into disaster management strategies. Comparisons in impact, response, and long-term consequences highlight the importance of proactive measures and effective coordination in mit

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This Real-time Experimental Lightning Flash Prediction Report presents a detailed analysis of lightning flash forecasts based on initial conditions. Prepared by a team at the Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, India, the report includes data on accumulated total li

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Explore the concepts of privacy-preserving prediction and learning in machine learning research, including differential privacy, trade-offs, prediction APIs, membership inference attacks, label aggregation, classification via aggregation, and prediction stability. The content delves into the challen

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Discover how concrete enhances earthquake resilience in buildings. Learn key design features that make structures safer during seismic events.\n

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The seismic source parameters in earthquake dynamics involve describing a fault as a discontinuity causing displacements, requiring a complex treatment of forces. The Earth's equilibrium necessitates a specific system of forces to explain displacements along faults. The seismic moment tensor, consis

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Support earthquake-affected population in Rasuwa District with shelter upgradation, material support, cash-for-work, livestock shed assistance, and earthquake-resistant techniques verification. Activities include distribution of shelter kits and tool kits, DRR training, mason training, construction

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Wetland Prediction Model Assessment was conducted in a GIS pilot study for the Kinston Bypass project in Lenoir County. The goal was to streamline project delivery through GIS resources. The study focused on Corridor 36, assessing various wetland types over a vast area using statistical and spatial

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Machine learning often requires real-time, accurate, and robust predictions under heavy query loads. However, many existing frameworks are more focused on model training than deployment. Clipper is an online prediction system with a modular architecture that addresses concerns such as latency, throu

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EMCOL, led by M. Namik A. Atay, focuses on natural hazards, environmental changes, and earthquake risk assessment. Their research fields include earthquakes, submarine landslides, tsunamis, sea-level changes, climate change, and paleoclimatology. The center conducts fieldwork using various equipment

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Explore the cutting-edge research and developments in instruments for gravity-based early warning systems for earthquakes. Experts like M. Barsuglia, J.-P. Montagner, and K. Juhel are leading the way in this crucial field. Discover the latest projects and collaborations shaping the future of earthqu

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This comprehensive guide covers various aspects of earthquake preparedness, including potential risks, necessary precautions, and steps to take during and after an earthquake. It emphasizes the importance of personal, family, and community preparedness, along with valuable insights on how to reduce

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Discussions during the Board of Directors meeting revolved around crucial topics such as Earthquake Insurance, On-Site Manager updates, CC&Rs, Financial Studies, and General Board matters. Key decisions were made regarding appointments, resignations, and handling earthquake insurance issues. The mee

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The KnowRISK project aims to reduce seismic risks through non-structural elements in buildings. The kick-off meeting highlighted the project framework, partners, objectives, and the importance of addressing non-structural elements for earthquake resilience. Objectives include bridging the gap betwee

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Central Arizona Fire and Medical Authority Fire Chief, Scott Freitag, coordinates pediatric evacuation efforts following a 7.7 magnitude earthquake in Southern California. Numerous hospitals report structural damages necessitating the evacuation of pediatric patients who require specialized care and

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This content discusses the theoretical justification of popular link prediction heuristics such as predicting connections between nodes based on common neighbors, shortest paths, and weights assigned to low-degree common neighbors. It also explores link prediction generative models and previous empi

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This presentation discusses the use of decision trees to enhance program-based static branch prediction, focusing on improving the Ball and Larus heuristics. It covers the importance of static branch prediction, motivation behind the research, goals of the study, and background on Ball and Larus heu

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The presentation discusses the Rapid Environmental Impact Assessment (REA) process conducted by a team of Chileans post the 2010 earthquake. It emphasizes the incorporation of assessment results into post-disaster recovery planning to address key issues such as disaster debris management, transition

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Delve into the fundamentals of engineering seismology and earthquake magnitudes, exploring topics such as fault dimensions, slip distribution, spectral shapes, Richter's observations, and logarithmic scales. Gain insights into how seismic measurements are characterized and understand the significanc

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Learning about the significance of predictions in news events and the process of causality mining for accurate forecasting. The research delves into problem definition, solution representation, algorithms, and evaluation in event prediction. Emphasis is placed on events, time representation, predict

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This content showcases various synthetic models for analyzing transcriptome data, including integrative models, trait prediction, and deep Boltzmann machines. It explores the generation of synthetic transcriptome data and the training processes involved in these models. The use of Restricted Boltzma

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This paper presents the WSP framework, a network coordinate-based approach for predicting response times in web services. It explores the motivation behind web service composition, quality-of-service evaluation, and the challenges of QoS prediction. The WSP framework enables the selection of web ser

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The Southern California Earthquake Center (SCEC) is a large consortium of institutions dedicated to coordinating earthquake research in Southern California. Their mission involves communicating earthquake understanding to reduce risk and improve community resilience, integrating information for a co

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The Greater Vancouver area faces high seismic risk due to its population density and critical infrastructure. Ground shaking during large earthquakes depends on various factors including the earthquake source, material properties, and site conditions. Efforts are being made to map seismic hazards, u

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Peer prediction mechanisms play a crucial role in soliciting high-quality information from human agents. This study explores the importance of peer prediction, the mechanisms involved in incentivizing truthful reporting, and the convergence of learning agents to truthful strategies. The Correlated A

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This detailed content outlines various earthquake emergency response scenarios including coordinating field control centers, temporary and existing telecoms links, national/regional/local authorities' roles, hazard zones, incident sectors, and specific tasks for different emergency teams such as sea

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This presentation outlines the objectives, goals, and purpose of a tabletop exercise focused on evaluating response and recovery efforts after an earthquake. It emphasizes educating decision-makers, defining roles, coordinating operations, sharing information, and enhancing community resilience to e

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CloudScale is an automatic resource scaling system designed to meet Service Level Objective (SLO) requirements with minimal resource and energy cost. The architecture involves resource demand prediction, host prediction, error correction, virtual machine scaling, and conflict handling. Module 1 focu

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The document discusses amendments to the Manual on WIPPS for climate prediction, including new recommendations for weather, climate, water, and environmental prediction activities. It introduces concepts such as Global Climate Reanalysis and the coordination of multi-model ensembles for sub-seasonal

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PDL2AQMS is a Python application designed for injecting QuakeML data into AQMS databases, supporting both Oracle and Postgres systems. Developed by a team including Ellen Yu, Mike Hagerty, and Aparna Bhaskaran, this tool enables comparison of earthquake solutions and automates association processes.

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This training program focuses on understanding disaster risks, particularly earthquakes, in Nepal. It covers topics such as the geographical structure of Nepal, responding to earthquake disasters, local safety mapping, types of disasters (natural and man-made), major disasters in Nepal, and historic

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Explore the pivotal planning and design concepts behind the Collaboratory for the Study of Earthquake Predictability (CSEP). Discover the guiding principles of CSEP2, objectives for experiment planning, and the framework for testing regions and centers. Delve into the roadmap for community-driven de

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This study explores the use of open-source mapping tools for earthquake risk assessment and reduction, emphasizing the importance of utilizing Free and Open Source Software (FOSS) in disaster management. By leveraging freely available geospatial data and software, individuals can identify vulnerable

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