Application of machine learning techniques on the context of livestock analysis

Application of machine learning techniques on the context of livestock analysis

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Islam, Md. Shajedul, Masud, Syed Tahmid, Tawheed, Bhuiyan Mustafa
مؤلفون آخرون:	Arif, Hossain
التنسيق:	أطروحة
اللغة:	English
منشور في:	BRAC University 2018
الموضوعات:	Machine learning Livestock analysis Regression Models Decision trees Bangladesh Livestock Research Institute Machine learning. Data Mining
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/10937

مواد مشابهة

Use of machine learning and IoT for monitoring and tracking of livestock
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منشور في: (2023)

Exploring machine learning techniques for symptom-based detection of livestock diseases
بواسطة: Niloy, Mahir Ahmed, وآخرون
منشور في: (2024)

Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
بواسطة: Ghosh, Kawshik Kumar, وآخرون
منشور في: (2023)

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
بواسطة: Shihab, Ibne Farabi, وآخرون
منشور في: (2018)

Livestock resources in Bangladesh : present status and future potential /
بواسطة: Ālama, Jāhāṅgīra
منشور في: (1995)

Machine learning for stress prediction
بواسطة: Salehin, Sherajus, وآخرون
منشور في: (2023)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
بواسطة: Rahee, Arnob, وآخرون
منشور في: (2021)

Agriculture and livestock programme
بواسطة: Ahmed, Tanvir
منشور في: (2016)

A machine learning approach to detect depression and anxiety using supervised learning
بواسطة: Ullas, Md Tahmidur Rahman, وآخرون
منشور في: (2019)

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

Application of CNN based architectures in detection of distracted drivers
بواسطة: Arafin, Irfana, وآخرون
منشور في: (2023)

Finding ideal geographical location for businesses using machine learning technique
بواسطة: Mahmud, Mir Ibtid, وآخرون
منشور في: (2022)

Detecting online recruitment fraud by using machine learning
بواسطة: Ghosh, Gitanjali, وآخرون
منشور في: (2021)

Flood prediction using ensemble machine learning models
بواسطة: Rahman, Tanvir
منشور في: (2024)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
بواسطة: Tasnim, Anika, وآخرون
منشور في: (2022)

Association between household livestock ownership and childhood stunting in Bangladesh – A spatial analysis
بواسطة: Hossain, Md. Belal, وآخرون
منشور في: (2022)

A machine learning approach on classifying orthopedic patients based on their biomechanical features
بواسطة: Hasan, Kamrul, وآخرون
منشور في: (2018)

Finding suitable locations for live campaigns using different machine learning techniques
بواسطة: Qudar, Mohiuddin Md. Abdul, وآخرون
منشور في: (2018)

The activities of accounts and finance department of the dairy and livestock program of SOJAG
بواسطة: Matin, Yusuf Ibn
منشور في: (2019)

Heart disease prediction using techniques of classification in machine learning
بواسطة: Afrose, Sadia, وآخرون
منشور في: (2021)

Intelligent assisted living in pregnancy
بواسطة: Zaman, S. M. Tanveer, وآخرون
منشور في: (2022)

Machine learning based data processing and latency reduction in the internet of things for agriculture
بواسطة: Rahman, Sajeed Ur, وآخرون
منشور في: (2019)

Early grade prediction using profile data
بواسطة: Iqbal, Sumaiya, وآخرون
منشور في: (2021)

Prediction of bipolar disorder from mental episodes using machine learning approach
بواسطة: Tasmeem, Sumaiya, وآخرون
منشور في: (2023)

Maximum livestock production from minimum land : proceedings of the fourth seminar held from 2nd to 5th of February 1981 at the Bangladesh Agricultural University, Mymensingh Bangladesh /

Credit card fraud detection using machine learning techniques
بواسطة: Kabir, Tasmia, وآخرون
منشور في: (2021)

Performance analysis of machine learning algorithms in resume recommendation systems
بواسطة: Hasan, Ibteaz, وآخرون
منشور في: (2018)

Detection of fake identities on twitter using supervised machine learning
بواسطة: Rahman, MD. Takiur, وآخرون
منشور في: (2019)

A thesis on utilizing machine learning models to predict material hardship
بواسطة: Das, Tirtha
منشور في: (2024)

Detecting tweet sentiment and sarcasm on online learning during covid-19
بواسطة: Das, Shishir Kumar, وآخرون
منشور في: (2024)

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
بواسطة: Farabe, Abdullah Al, وآخرون
منشور في: (2021)

Statistical analysis of network data flows and predictions using statistical and machine learning regression models
بواسطة: Boateng, Albert, وآخرون
منشور في: (2024)

A novel approach to reduce air pollution through machine learning based PM2.5 prediction
بواسطة: Alif, Omar Farhad, وآخرون
منشور في: (2023)

Text classification using machine learning algorithms
بواسطة: Hasnat, Fahim, وآخرون
منشور في: (2018)

Detecting propagandistic poster title: a machine learning approach
بواسطة: Mahmood, Riaz, وآخرون
منشور في: (2024)

Predicting depression in Bangladeshi undergraduates using machine learning
بواسطة: Choudhury, Ahnaf Atef, وآخرون
منشور في: (2019)

Predicting stock market movement using sentiment analysis of twitter feed
بواسطة: Chakraborty, Pranjal, وآخرون
منشور في: (2017)

A feature selection approach to determine obesity using machine learning method
بواسطة: Antor, Shahidul Alam, وآخرون
منشور في: (2021)

Smallholder livestock development project Bangladesh: third misssion report, phase IV
بواسطة: BRAC
منشور في: (2016)

Bank loan prediction using machine learning
بواسطة: Mahottam, Parthosarothi, وآخرون
منشور في: (2023)