Behavior trees in robotics and Al /

Behavior trees in robotics and Al /

Bibliografiske detaljer
Main Authors:	Collendanchise, Michele (Author), Ögren, Petter (Author)
Format:	Bog
Sprog:	English
Udgivet:	Boca Raton, FL : CRC Press, Taylor & Francis Group, c2019
Serier:	Chapman & Hall/CRC artificial intelligence and robotics series ; 6
Fag:	Robots > Control systems. Decision trees. Computer science.
Classic Catalogue:	View this record in Classic Catalogue

Lignende værker

Tropical and subtropical trees : a world wide encyclopediac guid /
af: Barwick, Margaret
Udgivet: (2004)

Working process of Trump Tree digital
af: Jaman, Romanur
Udgivet: (2017)

The working process of TrumpTree Digital
af: Siddique, Nafis Imtiaj
Udgivet: (2018)

Some beautiful Indian trees /
af: Blatter, E.
Udgivet: (1997)

Modelling and forecasting energy demand of Bangladesh using AI based algorithms
af: Mahmud, Booshra Nazifa, et al.
Udgivet: (2019)

Accuracy of data analysis on university student's major subject and job sector prediction using KNN and decision tree algorithm
af: Ahmed, Istear, et al.
Udgivet: (2023)

A machine learning approach on classifying orthopedic patients based on their biomechanical features
af: Hasan, Kamrul, et al.
Udgivet: (2018)

Early grade prediction using profile data
af: Iqbal, Sumaiya, et al.
Udgivet: (2021)

City trees : a historical geography from the Renaissance through the nineteenth century /
af: Lawrence, Henry W., 1946-
Udgivet: (2006)

Predicting stock market movement using sentiment analysis of twitter feed
af: Chakraborty, Pranjal, et al.
Udgivet: (2017)

Business methodology to integrate social networking into ecommerce alternatives: Olive Tree Foods Ltd.
af: Hossain, Nafisa Tasnuva
Udgivet: (2016)

Examination of huntington’s disease with atypical clinical features in a Bangladeshi family tree and study of association of miRNAs expression level with the diseased condition
af: Khan, Tanzila
Udgivet: (2017)

Effectiveness of data mining in predicting heart diseases
af: Afrin, Shahria, et al.
Udgivet: (2018)

Detecting online recruitment fraud by using machine learning
af: Ghosh, Gitanjali, et al.
Udgivet: (2021)

Understanding the management policies of the Apple Tree International School and the activities of different departments
af: Hossain, Khoteza
Udgivet: (2018)

Forest farming : towards a solution to problems of world hunger and conservation /
af: Sholto Douglas, James, 1920-
Udgivet: (1984)

An analysis on the effects of parenting style on offspring’s behavior using machine learning
af: Akter, Nasrin
Udgivet: (2023)

Predicting the length of stay in a hospital for a particular disease using machine learning algorithms
af: Imam, Saif
Udgivet: (2021)

Automated fabric color prediction
af: Muhtashima, Fawzia, et al.
Udgivet: (2024)

Bank loan prediction using machine learning
af: Mahottam, Parthosarothi, et al.
Udgivet: (2023)

Early detection of chronic kidney disease using machine learning
af: Abrar, Tahmid, et al.
Udgivet: (2019)

Individual and Collective Behaviors in Robotics (ICBR), International Conference on

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
af: Shihab, Ibne Farabi, et al.
Udgivet: (2018)

শ্যামলী নিসর্গ : ঢাকার সুদর্শন বৃক্ষ /
af: শর্মা, দ্বিজেন

নিসর্গ, নির্মাণ ও নান্দনিক ভাবনা /
af: শর্মা, দ্বিজেন

Edge-optimized machine learning models for real-time personalized health monitoring on wearables
af: Rafee, Athar Noor Mohammad, et al.
Udgivet: (2024)

2013 International Conference on Individual and Collective Behaviors in Robotics (ICBR)

Text classification using machine learning algorithms
af: Hasnat, Fahim, et al.
Udgivet: (2018)

A counseling system to predict the study path for freshmen
af: Usha, Rowshni Tasneem, et al.
Udgivet: (2019)

Machine learning based data processing and latency reduction in the internet of things for agriculture
af: Rahman, Sajeed Ur, et al.
Udgivet: (2019)

Power pilferage detection and identification system
af: Rashid, Hasib Mahmudur, et al.
Udgivet: (2024)

Finding suitable locations for live campaigns using different machine learning techniques
af: Qudar, Mohiuddin Md. Abdul, et al.
Udgivet: (2018)

Finding ideal geographical location for businesses using machine learning technique
af: Mahmud, Mir Ibtid, et al.
Udgivet: (2022)

Predicting brain age from EEG signals using machine learning and neural network
af: Pratanu, Abul Mushfique Muslah, et al.
Udgivet: (2023)

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
af: Farabe, Abdullah Al, et al.
Udgivet: (2021)

The sociology of eco-grief: Saving Suhrawardy Udyan
af: Morshed, Adnan Zillur
Udgivet: (2021)

Leucaena : promising forage and tree crop for the tropics : report of a study /
Udgivet: (1977)

Analysis on the effects of wallstreetbets on the stock market
af: Hossain, Abir, et al.
Udgivet: (2022)

Credit card fraud detection using machine learning techniques
af: Kabir, Tasmia, et al.
Udgivet: (2021)

Use of machine learning and IoT for monitoring and tracking of livestock
af: Aunindita, Rudaba Farhin, et al.
Udgivet: (2023)