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Rainfall-Runoff Modelling Using Artificial Neural Network: A Case Study of Purna Sub-catchment, India

Rainfall-runoff modeling is crucial in understanding the relationship between rainfall and runoff. This study focuses on developing a rainfall-runoff model for the Upper Tapi basin in India using Artificial Neural Networks (ANNs). ANNs mimic the human brain's capabilities and have been widely used i

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Apache MINA: High-performance Network Applications Framework

Apache MINA is a robust framework for building high-performance network applications. With features like non-blocking I/O, event-driven architecture, and enhanced scalability, MINA provides a reliable platform for developing multipurpose infrastructure and networked applications. Its strengths lie i

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Modeling and Generation of Realistic Network Activity Using Non-Negative Matrix Factorization

The GHOST project focuses on the challenges of modeling, analyzing, and generating patterns of network activity. By utilizing Non-Negative Matrix Factorization (NMF), realistic network activity patterns can be created and injected into live wireless networks. Understanding and predicting user behavi

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Automated Anomaly Detection Tool for Network Performance Optimization

Anomaly Detection Tool (ADT) aims to automate the detection of network degradation in a mobile communications network, reducing the time and effort required significantly. By utilizing statistical and machine learning models, ADT can generate anomaly reports efficiently across a large circle network

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Revolutionizing Network Management with Intent-Based Networking

Explore the concept and benefits of Intent-Based Networking (IBN) in simplifying network configuration and enhancing efficiency. Learn how IBN automates network operations, aligns with business objectives, improves security, and ensures scalability and reliability. Discover the potential of IBN tool

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Overview of Army Modeling and Simulation Office

The U.S. Army Modeling and Simulation Office (AMSO) serves as the lead activity in developing strategy and policy for the Army Modeling and Simulation Enterprise. It focuses on effective governance, resource management, coordination across various community areas, and training the Army Analysis, Mod

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R7 Network Slicing Model Proposal and Structure Overview

Explore the modeling requirements for R7 network slicing, focusing on slice subnet domain combinations within the NST model. The proposal delves into CST, NSST, slice profiles, NF configuration, and more to enhance the understanding of network slicing. Learn about the modeling structure, CST-DT rela

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Capacity Zone Modeling for Forward Capacity Auction 17 Results

This presentation unveils the Capacity Zone modeling calculations for Forward Capacity Auction 17 associated with the 2026-2027 Capacity Commitment Period by ISO-NE PUBLIC. It delves into boundary definitions, import-constrained zone modeling, and market rules guiding the assessments and modeling pr

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Distribution Feeder Modeling and Analysis Overview

This document delves into the modeling, optimization, and simulation of power distribution systems, specifically focusing on Distribution Feeder Modeling and Analysis. It covers the components of a typical distribution feeder, series components, Wye-Connected Voltage Regulator modeling, and equation

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Understanding Data Modeling vs Object Modeling

Data modeling involves exploring data-oriented structures, identifying entity types, and assigning attributes similar to class modeling in object-oriented development. Object models should not be solely based on existing data schemas due to impedance mismatches between object and relational paradigm

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Evolution of Modeling Methodologies in Telecommunication Standards

Workshop on joint efforts between IEEE 802 and ITU-T Study Group 15 focused on information modeling, data modeling, and system control in the realm of transport systems and equipment. The mandate covers technology architecture, function management, and modeling methodologies like UML to YANG generat

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Network Compression Techniques: Overview and Practical Issues

Various network compression techniques such as network pruning, knowledge distillation, and parameter quantization are discussed in this content. The importance of pruning redundant weights and neurons in over-parameterized networks is highlighted. Practical issues like weight pruning and neuron pru

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Understanding Geometric Modeling in CAD

Geometric modeling in computer-aided design (CAD) is crucially done in three key ways: wireframe modeling, surface modeling, and solid modeling. Wireframe modeling represents objects by their edges, whereas surface modeling uses surfaces, vertices, and edges to construct components like a box. Each

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Network Slicing with OAI 5G CN Workshop Overview

Overview of Network Slicing with OAI 5G CN workshop focusing on the crucial role of network slicing in realizing the service-oriented 5G vision. This workshop covers topics like multiple logical networks creation on shared infrastructure, different types of network slices, preparation and instantiat

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Network Design Challenges and Solutions in Business Data Communications

Issues in designing a Local Area Network (LAN) include needs analysis, technological design, and cost assessment. The traditional approach involves structured systems analysis, but faces challenges due to rapidly changing technology and increasing network traffic. The Building Blocks Approach recomm

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Mathematical Modeling and Error Analysis in Engineering

Mathematical modeling plays a crucial role in solving engineering problems efficiently. Numerical methods are powerful tools essential for problem-solving and learning. This chapter explores the importance of studying numerical methods, the concept of mathematical modeling, and the evaluation proces

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Introduction to Dynamic Structural Equation Modeling for Intensive Longitudinal Data

Dynamic Structural Equation Modeling (DSEM) is a powerful analytical tool used to analyze intensive longitudinal data, combining multilevel modeling, time series modeling, structural equation modeling, and time-varying effects modeling. By modeling correlations and changes over time at both individu

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Understanding Snort: An Open-Source Network Intrusion Detection System

Snort is an open-source Network Intrusion Detection System (NIDS) developed by Cisco, capable of analyzing network packets to identify suspicious activities. It can function as a packet sniffer, packet logger, or a full-fledged intrusion prevention system. By monitoring and matching network activity

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Understanding Object Modeling in Software Development

Object modeling is a crucial concept in software development, capturing the static structure of a system by depicting objects, their relationships, attributes, and operations. This modeling method aids in demonstrating systems to stakeholders and promotes a deeper understanding of real-world entitie

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GTAModel v4.2 Overview and Updates

This document provides an overview of GTAModel v4.2, including initial network assignment, load data analysis, access station modeling, mode choice considerations, and more. It highlights the new features and enhancements such as updated network assignments, transit models, freight modeling, and tim

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Coupled Ocean-Atmosphere Modeling on Icosahedral Grids

Coupled ocean-atmosphere modeling on horizontally icosahedral and vertically hybrid-isentropic/isopycnic grids is a cutting-edge approach to modeling climate variability. The design goals aim to achieve a global domain with no grid mismatch at the ocean-atmosphere interface, with key indicators such

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Transportation Network Modeling and Analysis with C.Coupled SE Platform

This content outlines the features and functionalities of the C.Coupled SE Platform (CSET Platform) developed by the Connetics Transportation Group. It covers aspects such as interface design, inputs merging, purposes, platform development using Cube, TAZs merging, and network attributes. The platfo

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Fire and Smoke Modeling Evaluation Effort (FASMEE) Overview

FASMEE is a collaborative project aimed at assessing and advancing fire and smoke modeling systems through critical measurement techniques and observational data. Led by key technical leads, FASMEE focuses on diverse modeling areas such as fire growth, effects, coupled fire-atmosphere behavior, smok

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Analyzing Telecom Network Cost in East Africa

This expert-level training workshop conducted in Arusha in 2013 delved into the country-by-country analysis of telecom network cost modeling in the East Africa region. The workshop covered topics such as regulatory frameworks, transparency, skills and resources, cost accounting, depreciation methods

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Subarea and Highway Corridor Studies: Travel Demand Modeling and Refinements

In this lesson, we delve into subarea and corridor studies focusing on travel demand model refinements, highway network coding, corridor congestion relief, and trip assignment theory. Subarea modeling plays a crucial role in forecasting travel within smaller regions with detailed traffic patterns, t

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Essential Steps for Setting up a Modeling Study

Ensure clarity on modeling goals and uncertainties. Select sample areas strategically based on interest and available data. Determine appropriate resolution for modeling. Define variables to model and validate the model effectively. Assess sample data adequacy and predictor variables availability. E

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Water Storage Tanks Hydraulic Modeling and Water Quality Considerations

This presentation by Justine Carroll, P.E., Project Manager, focuses on the hydraulic modeling and water quality considerations related to water storage tanks. It covers topics such as water age evaluation, steady state modeling, extended period simulations, pump controls, demand patterns, EPS verif

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Advancing Computational Modeling for National Security and Climate Missions

Irina Tezaur leads the Quantitative Modeling & Analysis Department, focusing on computational modeling and simulation of complex multi-scale, multi-physics problems. Her work benefits DOE nuclear weapons, national security, and climate missions. By employing innovative techniques like model order re

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Flexible Framework for Stormwater Lids Modeling

A new flexible framework for forward and inverse modeling of stormwater lids is presented. It includes governing equations, hydraulic and contaminant transport, numerical methods, and demonstration cases for various green infrastructure components. The importance of different processes in modeling i

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Meridian: An SDN Platform for Cloud Network Services

Meridian is an SDN platform developed by Mohammad Banikazemi, David Olshefski, Anees Shaikh, John Tracey, and GuohuiWang at IBM T. J. Watson Research Center. The platform focuses on providing cloud network services efficiently. It encompasses an architecture that enables faster and more convenient n

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Exploring Compartmental Models and Adding Detail in Neural Network Biological Modeling

Week 4 delves into compartmental models and the addition of synaptic and cable equation details in biological modeling of neural networks. The content is presented by Wulfram Gerstner from EPFL, Lausanne, Switzerland, providing insights into reducing and adding complexity for a comprehensive underst

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Understanding Automated Speech Recognition Technologies

Explore the world of Automated Speech Recognition (ASR), including setup, basics, observations, preprocessing, language modeling, acoustic modeling, and Hidden Markov Models. Learn about the process of converting speech signals into transcriptions, the importance of language modeling in ASR accuracy

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Update on Modeling and Coordination Discussions

Weekly coordination calls with Ramboll and discussions with EPA OAQPS leads focused on Regional Haze and modeling adjustments. Final draft of procedures document with visibility projections and glide slope adjustments. Upcoming RTOWG meetings covering methodology, projections, and modeling evaluatio

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Importance of Data Modeling in Industrial Information Systems

Introduction to data modeling and design in Industrial Information Systems at King Saud University College of Engineering. The chapter covers the significance of data modeling, capturing data characteristics, structural information, and the role of databases and DBMS. Data modeling fills crucial gap

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Understanding Network Analysis: Whole Networks vs. Ego Networks

Explore the differences between Whole Networks and Ego Networks in social network analysis. Whole Networks provide comprehensive information about all nodes and links, enabling the computation of network-level statistics. On the other hand, Ego Networks focus on a sample of nodes, limiting the abili

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Mega-Modeling for Big Data Analytics

Mega-Modeling is a comprehensive approach that encompasses model construction, evaluation, composition, evolution, and search to address challenges in various areas such as social and economic resilience, health, transportation, and energy management. The pillars of Mega-Modeling include Model-Drive

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NetLogo - Programmable Modeling Environment for Simulating Natural and Social Phenomena

NetLogo is a powerful and versatile programmable modeling environment created by Uri Wilensky in 1999. It allows users to simulate natural and social phenomena by giving instructions to multiple agents operating independently, making it ideal for modeling complex systems evolving over time. NetLogo

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Network Function Virtualization (NFV) Overview

Network Function Virtualization (NFV) focuses on virtualizing network functions to improve efficiency and reduce costs in network infrastructure. The lecture discusses key readings, devices that compose a network, specialization of devices, benefits of one-device-does-anything approach, and the goal

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Enhancing Network Stability with Network Monitoring Systems

Network monitoring is crucial for efficient management and proactive issue detection in a network environment. Factors influencing an effective network system include choosing the best OEM, SLA agreements, and selecting a reliable System Integrator. Reactive monitoring can lead to financial losses a

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Overview of MEF Modeling Activities in LSO and Network Evolution

This content outlines MEF's modeling activities in the context of Lifecycle Service Orchestration (LSO) and the evolving landscape of network services. It covers challenges, the vision for agile networks, lifecycle service orchestration capabilities, and the methodology for engineering LSO capabilit

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