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Using Machine Learning Approaches. To Forecast Airport Air Passenger Demand Key Theories and Cases
В наличии
| Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Panarat Srisaeng,Glenn Baxter and Parleda Sampaothong
ISBN: 9786205529454
Год издания: 1905
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 272
Издательство: LAP LAMBERT Academic Publishing
Цена: 59989 тг
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Аннотация: Highly accurate and reliable passenger air travel demand forecasts are critical for airports as they are a key input into airport master plans and they are also used to guide management decisions on airport design and infrastructure planning, airport operations, and resource planning. The objective of this book is to develop and empirically test adaptive neuro-fuzzy inference system (ANFIS) and artificial neural networks (ANNs) to predict airport’s passenger demand. The study is based on five major airports: Frankfurt Airport, Hong Kong International Airport, Tokyo’s Narita International Airport, Chicago’s O’Hare International Airport, and Sydney Kingsford Smith Airport, Australia. The performance of the artificial neural network (ANN) and adaptive neuro-fuzzy inference systems models was assessed by five goodness of fit measures: coefficient of determination (R2), mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean squared error (RMSE). Artificial intelligence-based machine learning modelling techniques are worthy of consideration for those interested in forecasting airport passenger demand.
Ключевые слова: passenger air travel demand forecasts, airport design, Resource Planning, Infrastructure Planning, euro-fuzzy inference system (ANFIS), Artificial Neural Networks (ANNs), coefficient of determination (R2), mean absolute error (MAE), mean absolute percentage error (MAPE), root mean squared error (RMSE), Passenger, airport, Artificial intelligence-based machine learning modelling techniques
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 | Отрасли знаний: Общественные науки -> Экономика Chalumuru Suresh,Thatavarthi Satish and Akula Maneesha Rice Plant Diseases Detection Using IoT & Machine Learning. Machine Learning and IoT. 2020 г., 80 стр., мягкий переплет Most of the people in India are dependent on agriculture. The growth of crops mainly relies upon climatic conditions, water quality, and soil moisture. In recent years, the crop yield has been decreased due to the occurrence of diseases because of variations in the climatic conditions. The proposed system uses the Internet of Things and machine... | 25692 тг |
 | Отрасли знаний: Естественные науки -> Астрономия и астрофизика Chalumuru Suresh,Satish Thatavarthi and A.K. Bhavana Prediction of Epidemic Diseases Using Machine Learning Algorithms. Machine Learning. 2020 г., 68 стр., мягкий переплет Dengue is one of the common infectious diseases which is caused by the dengue virus and transmitted to humans by mosquitoes with this many are infected in varied regions around the world per year. The reason for this virus is atmospheric conditions, which play a vital role in the outbreak of dengue. Therefore early prediction of dengue is the key... | 25266 тг |
 | Отрасли знаний: Медицина Dr. B. V. Ramana Reddy Predicting Lung Cancer Using Machine Learning Techniques. A Detailed Study. 2020 г., 152 стр., мягкий переплет In different cancers, for example, lung cancer, the time calculated is imperative to find the anomaly issue in target images. Gray Level Co-event Matrix (GLCM) is utilized for preprocessing of images and to feature extraction procedures to check the condition of the patient whether it is ordinary or irregular. Surface-based elements, for example,... | 39875 тг |
 | Отрасли экономики: Промышленность в целом Kritikashree Lakshminarayanan and Sujithra Muthuswamy Malware Detection Techniques using Machine Learning Classifiers. . 2020 г., 64 стр., мягкий переплет Mobile devices have become an essential part of our daily life. The rising number of users invite hackers to develop malicious applications besides the security of sensitive data in mobile devices is taken lightly. Relying on currently developed approaches is not sufficient, given that intelligent malware keeps modifying rapidly and thus becomes... | 25124 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Tanuja Dhope-Shendkar and Pranoti Ubale Detection and Determination of Ripeness of Mango. Using Machine Learning and Image Processing on Raspberry Pi. 2020 г., 52 стр., мягкий переплет Agriculture plays a very important role in any national economic stability. Agriculture is the only way of living for the two-thirds of population in India. On comparing the development of electronics and automobiles with the development of agriculture, it is observed that the development in agriculture is sluggish. Hence, it is essential to move... | 24697 тг |
 | Сферы деятельности: Предпринимательская деятельность -> Менеджмент Dr. S. K. Agrawal 5G Wireless Communication System Using Machine Learning (ML). . 2020 г., 172 стр., мягкий переплет Millimeter wave (mmWave) frequencies are under research for providing high speed data spectrum for upcoming 5th Generation (5G) communication system. ThemmWave frequencies suffer with high propagation attenuation due to various channel obstructions. There is a demand and need to have an effective method for efficient mmWave propagation. In this,... | 45869 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование -> Информационные технологии Fisha Haileslassie Classification of Marble Using Image Processing Techniques. Image Classification Using Machine Learning. 2020 г., 96 стр., мягкий переплет This study attempted to develop a Marble quality classification model by comparing color, texture, and ensemble of color and texture. The image processing technique based on combined texture and color features was examined to achieve good results. Averages of 60 pictures taken for each marble (grade A, grade B, grade C). A grayscale coexistence... | 34186 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование -> Интернет и локальные сети Sisay Tebabal Analysis and Prediction of Weather Condition in Ethiopia. Using machine learning approach. 2019 г., 88 стр., мягкий переплет Weather prediction involves a combination of computer models, observations and knowledge of trends and patterns, by using of which reasonably accurate forecasts can be made up to a finite number of days in advance. This study is aimed at investigating and modelling the existing weather data series to enable the future information of the weather... | 25976 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Kunwar Babar Ali Quality Prediction using Machine Learning Technique(MLT). Predicting the Quality of Object-oriented Multidimensional model of Data Warehouse using Fuzzy Logic and Decision Tree. 2012 г., 76 стр., мягкий переплет This book will serve the undergraduate,postgraduate research scholars who are working in the field of Machine Learning Techniques.This book can be used as a text book to understand the concept and working of Fuzzy logic and Decision Tree Techniques.Its clarity of presentation ,careful development of fuzzy logic rules and their implementation on ... | 30358 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Muhamamd Mahbubur Rahman Protein Classification using Machine Learning Approaches. A more appropriate protein classification using data mining. 2012 г., 84 стр., мягкий переплет Bioinformatics is a great branch in computer science. Researching in bioinformatics is a complex phenomenon as it has overlapped two knowledge domains, namely, biological science and computer science. This research book has paid attention to investigate the proteins with a view to analyzing and classifying them into different groups by introducing... | 30642 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Hemalatha Marimuthu Hybrid Models for High Dimensional Clustering and Pattern Discovery. Knowledge Discovery in Bioinformatics Databases Using Machine Learning Approach. 2012 г., 208 стр., мягкий переплет Our ability to generate and collect data has been increasing rapidly. Improving data delivery is the top priority in bio computing today this comprehensive cutting edge guide can help by showing you how to effectively integrate bioinformatics and other powerful data mining technologies. This compact book explores the concept of data mining and... | 50900 тг |
 | Отрасли экономики: Агропромышленный комплекс -> Растениеводство -> Садоводство Y. Mohana Roopa Rainfall Prediction using Machine Learning Algorithm. . 2019 г., 52 стр., мягкий переплет Rainfall prediction is one of the challenging tasks in weather forecasting. Accurate and timely rainfall prediction can be very helpful to take effective security measures in advance regarding: ongoing construction projects, transportation activities, agricultural tasks, flight operations and flood situation, etc. Data mining techniques can... | 24697 тг |
 | Отрасли экономики: Приборостроение -> Производство электронных компонентов Raghu Nanjundegowda,Manjunatha K. N. and Kiran B. Arrhythmia Detection Using machine Learning Techniques. . 2019 г., 96 стр., мягкий переплет One of the most powerful facilities for determining the condition of the heart is the Electrocardiogram (ECG). Automatic heart abnormality identification technique detects the several abnormalities or arrhythmia and decreases the physician’s workload thereby reducing their workload. The ECG analysis focuses on improving the accuracy levels and... | 34186 тг |
 | Отрасли знаний: Общественные науки -> Экономика Chibuzor John Ugochukwu An intrusion detection system using machine learning algorithm. . 2019 г., 76 стр., мягкий переплет Security of data in a network-based computer system has become a major challenge in the world today. With the high increase of network traffic, hackers and malicious users are devising new ways of breaking into computer networks. In other to tackle this problem, an intrusion detection system (IDS) is developed to control access and detect attacks... | 25550 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование -> Интернет и локальные сети Sonali Patro Polaki,Kshira Sagar Sahoo and Bibhudatta Sahoo DDoS Attack Detection Using Machine Learning Techniques in SDN. . 2018 г., 64 стр., мягкий переплет Software Defined Networks (SDN) paradigm was introduced to overcome the limitations of the traditional network. It becomes a promising network architecture that provide network operators more control over the network infrastructure. The controller also called as the operating system of the SDN which has the centralized control over the network.... | 25124 тг |
 | Отрасли экономики: Промышленность в целом Parth Shah Automated Stock Market Trading using Machine Learning. . 2018 г., 56 стр., мягкий переплет Stock market decision making is a very challenging and difficult task of financial data prediction. Prediction about the stock market with high accuracy movement yield profit for investors of the stocks. Because of the complexity of stock market financial data, development of effective models for prediction decision is very difficult, and it must... | 22726 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование -> Интернет и локальные сети Akbar Shaik Enhanced Intrusion Detection System Using Machine Learning Techniques. . 2017 г., 164 стр., мягкий переплет This book provides a machine learning technique was proposed to identify the network attacks. IDS is an important technology that monitors the network traffic and identifies the network intrusions. The primary objective of this rule based intrusion detection system detects the errors with high detection rate and low false alarm rate. This book... | 41885 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Vijay Menino Jesus Borges Activity Recognition Using Machine Learning in Smart Spaces. Activity Recognition in Smart Spaces. 2017 г., 164 стр., мягкий переплет A huge societal need is felt to address the problem of the growing elderly population affected with Alzheimer’s disease. The proficiency with which such affected population do their Activities of Daily Living (ADL) a.k.a. Activity Recognition (AR), is of paramount importance to the medical fraternity for proper diagnosis, suggestions for... | 41885 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование -> Информационные технологии Mustafa Mikail ?z?ilo?lu and Mehmet Fatih Akay Algorithms for Prediction of Upper Body Power of Cross-Country Skiers. Prediction of Upper Body Power of Cross-Country Skiers Using Machine Learning Methods Combined With Feature Selection. 2016 г., 100 стр., мягкий переплет Upper body power (UBP) is one of the most important factors affecting the performance of cross-country skiers during races. The purpose of this study is to develop new prediction models for predicting the 10-second UBP (UBP10) and 60-second UBP (UBP60) of cross-country skiers by using General Regression Neural Networks (GRNN), Radial-Basis... | 31686 тг |
 | Отрасли знаний: Общественные науки -> Юриспруденция Maqsood Hayat Prediciton of Membrane Proteins Using Machine Learning Approaches. . 2016 г., 168 стр., мягкий переплет This book focuses on developing computational model for membrane proteins and their types. However, in some situation the conventional methods failed to identify the protein types correctly due to complex nature of structure and motif. Therefore, moving toward automation is important and indistinguishable.In this regard, Various Machine learning... | 42028 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование -> Информационные технологии Sujata Dash and Bichitrananda Patra Knowledge Discovery using Machine Learning Algorithms. . 2016 г., 192 стр., мягкий переплет The goal of this book is to provide a more effective way to extract features with highly important information to a specific disease, i.e. informative features, using correlation based rough set feature extraction method (RSs), rough set, genetic algorithms (GAs) and its variants, fuzzy-rough set, nearest neighbor, decision tree algorithms and... | 42880 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Lubna Gabralla and Ajith Abraham Crude Oil Price Forecasting Using Machine Learning. . 2016 г., 184 стр., мягкий переплет The oil prices and its future are one of the most prominent topics in our world nowadays. This volume illustrates the usage of machine learning and computational intelligence approaches to predict crude oil prices using direct prediction and combined prediction models. Crude oil price is affected by many factors and coupled by an international... | 42596 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Muneeb Ali Forecasting UK housing Market using Machine Learning Techniques. . 2016 г., 160 стр., мягкий переплет Financial markets are built upon several individual sectors, which collectively play a vital role in a country's economy. The housing sector is one of the strongest relative factors of the UK economy that has a strong connection with the stability of economic growth. In this book, we examine the use of Artificial Neural Networks (ANN) to predict... | 41743 тг |
 | Отрасли экономики: Промышленность в целом Garima Bhatia Disease Recognition using Machine Learning Techniques. . 2016 г., 80 стр., мягкий переплет Healthcare is very important aspect in everyone’s life. Elder people are usually dependent on medicines and continuous health support from outside environment for their health management. The bones of people in age group 65 and above have become so weak that they are not able to walk within their homes, so, they prefer to stay alone rather than... | 23578 тг |
 | Отрасли экономики: Промышленность в целом Nilay Shah Autonomous Parking Technique using Machine Learning Based Approach. . 2016 г., 72 стр., мягкий переплет This book is all about parking a car autonomously in a detected parking space. The algorithm which is investigated in a book is totally autonomous. A car can park in either reverse or a forward manner based on a dimension of parking space detected. In this a reverse and forward parking algorithm both are investigated. Here we also try to... | 25408 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Mustafa A??kkar and Mehmet Fatih Akay Developing VO2max Prediction Models Using Machine Learning Methods. . 2015 г., 184 стр., мягкий переплет The purpose of this work is to develop VO2max prediction models by using non-exercise, submaximal and hybrid variables by using Support Vector Machines (SVM), Multi-layer Feed-forward Artificial Neural Networks (MFANN) and Multiple Linear Regression (MLR) on different data sets. Using 10-fold cross validation on four different data sets, the... | 46295 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование -> Информационные технологии Thomas Osgood Labelling Road Scenes Using Machine Learning and Stereo Vision. Semantic labelling of road scenes using supervised and unsupervised machine learning with LIDAR-stereo sensor fusion. 2015 г., 296 стр., мягкий переплет Vehicles capable of sensing their surroundings are not only of interest to car manufactures for safety systems, but the underlying systems are also applicable to autonomous space exploration, military applications e.g. the DARPA challenge and fully autonomous passenger cars. The ability to autonomously detect and avoid pedestrians, for example,... | 56086 тг |
 | Nikita Singh and Nidhi Chandra Enhancing Host/Network Security using Machine Learning. . 2015 г., 84 стр., мягкий переплет Research has taken a big leap since 1969 in security and is evolving tremendously in every aspect. Here by every aspect it means security being enhanced by applying various theories from networks, intrusion detection systems, artificial intelligence, mining etc. To strengthen the security more for both hosts as well as network one may apply the... | 29004 тг |
 | Отрасли знаний: Естественные науки -> Экология Vadim Rukavitsyn Ecosystem Condition Modeling Using Machine Learning Tools. . 2015 г., 132 стр., мягкий переплет There are a lot of different prediction methods exist in our days. Many of them work well in a specific situation. But when the situation deals with the big volume of data and complicated classification analysis there is a good opportunity to use the machine learning for the prediction. Previously there were a lot of different ways of the machine... | 39164 тг |
 | Сферы деятельности: Предпринимательская деятельность -> Менеджмент Suganya Ramamoorthy and Rajaram Sivasubramanian Classification of US liver images using machine learning techniques. Medical Image processing on Ultrasound liver diseases. 2014 г., 164 стр., мягкий переплет The field of medical imaging has experienced a period of rapid development over the last 2 decade has consequently revolutionized the way in which modern medicine is practiced.The disease and their symptoms are highly varying and always a need for a continuous update of knowledge for the doctors and medical analyst.The diseases fall into different... | 45585 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование -> Информационные технологии Nigel Struble Measuring Glycemic Variability and Predicting Blood Glucose Levels. Using Machine Learning Regression Models. 2014 г., 100 стр., мягкий переплет This work presents research in machine learning for diabetes management. There are two major contributions:(1) development of a metric for measuring glycemic variability, a serious problem for patients with diabetes; and (2) predicting patient blood glucose levels, in order to preemptively detect and avoid potential health problems. The glycemic... | 34328 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Xiaoyuan Su Collaborative Filtering. Using Machine Learning and Statistical Techniques. 2013 г., 164 стр., мягкий переплет Collaborative filtering (CF), a very successful recommender system, is one of the applications of data mining for incomplete data. The main objective of CF is to make accurate recommendations from highly sparse user rating data. My contributions to this research topic include proposing the frameworks of imputation-boosted collaborative... | 35016 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование -> Интернет и локальные сети Siva S. Sivatha Sindhu,S. Geetha and S. Selvakumar Network Intrusion Detection System using Machine Learning Techniques. A Quick Reference. 2013 г., 80 стр., мягкий переплет This book presents the need for intrusion detection system as it has become an essential concern with the growing use of internet and increased network attacks such as virus, Trojan horse, worms and creative hackers. In addition, the basic details about the historic origin of IDS, the types of IDS, their deployment schemes and general architecture... | 25692 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Sheetal Dabra and Sunil Agrawal Identification of Handwritten Characters using Machine Learning. . 2013 г., 84 стр., мягкий переплет The book gives an overview of the various steps involved in handwritten character recognition. It also familiarizes certain machine learning techniques. The performance of these techniques is compared based on some parameters for recognition of similar shaped handwritten Hindi characters. The importance of feature selection and its dimensionality... | 25834 тг |