表紙画像

Developing an ensembled machine learning prediction model for marine fish and aquaculture production

The fishing industry is identified as a strategic sector to raise domestic protein production and supply in Malaysia. Global changes in climatic variables have impacted and continue to impact marine fish and aquaculture production, where machine learning (ML) methods are yet to be extensively used t...

保存先:

書誌詳細
主要な著者:	Rahman L.F., Marufuzzaman M., Alam L., Bari M.A., Sumaila U.R., Sidek L.M.
その他の著者:	36984229900
フォーマット:	論文
出版事項:	MDPI AG 2023
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

類似資料

Application of Machine Learning to Investigate the Impact of Climatic Variables on Marine Fish Landings
著者:: Rahman L.F., 等
出版事項: (2023)

A machine learning approach to predict the activity of smart home inhabitant
著者:: Marufuzzaman M., 等
出版事項: (2023)

Traceability of sustainability and safety in fishery supply chain management systems using radio frequency identification technology
著者:: Rahman L.F., 等
出版事項: (2023)

Developing an ensembled machine learning model for predicting water quality index in Johor River Basin
著者:: Sidek L.M., 等
出版事項: (2025)

Betanodavirus infection in marine fish aquaculture in Malaysia
著者:: Julian Ransangan, 等
出版事項: (2013)

Investigation of Multimodel Ensemble Performance Using Machine Learning Method for Operational Dam Safety
著者:: Basri H., 等
出版事項: (2023)

Analysis on optimizing the design of low power dynamic latch comparators
著者:: Marufuzzaman M., 等
出版事項: (2023)

A low power and low ripple CMOS high voltage generator for RFID transponder EEPROM
著者:: Rahman L.F., 等
出版事項: (2023)

Design of a Low Power and High-Efficiency Charge Pump Circuit for RFID Transponder EEPROM [Zasnova vezja crpalke naboja z majhno mocjo in visoko ucinkovitostjo za RFID transponder EEPROM]
著者:: Rahman L.F., 等
出版事項: (2023)

Design of low power and low phase noise current starved ring oscillator for RFID tag EEPROM
著者:: Rahman, L.F., 等
出版事項: (2020)

Design of low power and low phase noise current starved ring oscillator for RFID tag EEPROM
著者:: Rahman L.F., 等
出版事項: (2023)

Forecasting of meteorological drought using ensemble and machine learning models
著者:: Pande C.B., 等
出版事項: (2025)

Tropical recirculating aquaculture system for commercial marine fish production
著者:: Rezuwan, Kamaruddin, Prof. Ir. Dr.
出版事項: (2014)

Multi-Objective PSO with Passive Congregation for Load Balancing Problem
著者:: Marufuzzaman M., 等
出版事項: (2023)

Design topologies of a cmos charge pump circuit for low power applications
著者:: Rahman L.F., 等
出版事項: (2023)

Fisheries (marine and aquaculture)
著者:: Mohd Noh, Kusairi, 等
出版事項: (2012)

Design and analysis of high gain low power CMOS comparator
著者:: Rahman L.F., 等
出版事項: (2023)

Occurrence of iridoviruses and bacterial pathogens in bivalves, scavenging fish and trash fish in marine aquaculture facilities in Sabah, Malaysia
著者:: Suraini Lajimin
出版事項: (2015)

Enhanced Ensemble Models for Predictive Modeling: A Conceptual Framework
著者:: Kit, J.L.O.W., 等
出版事項: (2021)

Real-Time Flood Inundation Map Generation Using Decision Tree Machine Learning Method: Case Study of Kelantan River Basins
著者:: Sidek L.M., 等
出版事項: (2024)

Ensemble learning method for the prediction of new bioactive molecules
著者:: Afolabi, L. T., 等
出版事項: (2018)

MERCURY CONTAMINATION IN COMMERCIALLY IMPORTANT MARINE FISH AND INTRODUCTION OF CYSTEINE AS CHELATING AGENT IN AQUACULTURE SYSTEM
著者:: SITI ZURAIDA BINTI ZULKIPLI
出版事項: (2024)

Predictive modelling of marine fish landings in Malaysia
著者:: Rusiman, Mohd Saifullah, 等
出版事項: (2018)

Binary Coati Optimization Algorithm- Multi- Kernel Least Square Support Vector Machine-Extreme Learning Machine Model (BCOA-MKLSSVM-ELM): A New Hybrid Machine Learning Model for Predicting Reservoir Water Level
著者:: Sammen S.S., 等
出版事項: (2024)

Machine learning based video detection for precise fish feeding in aquaculture systems
著者:: Su, Michelle Hui Lin Eric
出版事項: (2024)

Marine water aquaculture and an IoT-based smart fish dryer of the future : a sustainable environmental approach
著者:: Md. Masud, Rana, 等
出版事項: (2023)

Boosting-based ensemble machine learning models for predicting unconfined compressive strength of geopolymer stabilized clayey soil
著者:: Abdullah G.M.S., 等
出版事項: (2025)

Mini aquaculture fish pond design
著者:: Hassan, Mohammad Haiqal, 等
出版事項: (2022)

Probable Maximum Precipitation comparison using hershfield's statistical method and hydro-meteorological method for Sungai Perak Hydroelectric Scheme
著者:: Razali J., 等
出版事項: (2023)

Health risk assessment of polycyclic aromatic hydrocarbons through aquaculture fish consumption, Malaysia
著者:: Nasher, E., 等
出版事項: (2016)

Internatinal Conference On Marine Science & Aquaculture [Mar]
著者:: UMS
出版事項: (2022)

Internatinal Conference On Marine Science & Aquaculture [Mar]
著者:: UMS
出版事項: (2022)

Internatinal Conference On Marine Science & Aquaculture [Mar]
著者:: UMS
出版事項: (2022)

Internatinal Conference On Marine Science & Aquaculture [Mar]
著者:: UMS
出版事項: (2022)

A recommender system for tourism industry using cluster ensemble and prediction machine learning techniques
著者:: Nilashi, M., 等
出版事項: (2017)

Predicting attributes based movie success through ensemble machine learning
著者:: Vedika, Vedika, 等
出版事項: (2023)

Predicting Post-Internship Employability Using Ensemble Machine Learning Approach
著者:: Aiza Azlin, Kahlik, 等
出版事項: (2024)

Flood damage assessment for Pergau Hydroelectric power project using HEC-FIA
著者:: Sidek L.M., 等
出版事項: (2023)

Predicting young imposter syndrome using ensemble learning
著者:: Khan, Md. Nafiul Alam, 等
出版事項: (2022)

Implementation of data intelligence models coupled with ensemble machine learning for prediction of water quality index
著者:: Abba S.I., 等
出版事項: (2023)