Predicting Smoke Emission From Palm Oil Mill Using Artificial
Neural Networks

QR Code

Predicting Smoke Emission From Palm Oil Mill Using Artificial Neural Networks

Malaysia produces 50 % of the total quantity of palm oil produced in the world and this makes it the largest palm oil producer in the world. Palm oil is produced in palm oil mills, which have their captive steam power plants and these plants use palm oil waste (shell and fibre) as fuel for the boil...

Full description

Bibliographic Details
Main Author:	Yusoff, Ahmad Razlan
Format:	Thesis
Language:	English
Published:	2002
Subjects:	TJ1-1570 Mechanical engineering and machinery
Online Access:	http://eprints.usm.my/60756/ http://eprints.usm.my/60756/1/Pages%20from%20Ahmad%20Razlan.pdf

Similar Items

Artificial neural network algorithm for predicting the surface roughness in end milling of Inconel 718 alloy
by: Hossain, Mohammad Ishtiyaq, et al.
Published: (2011)

Bullet Identification Based On Striation Features Using Fast Fourier Transform And Artificial Neural Network
by: Chan, Zhen Yu
Published: (2017)

Development of an artificial neural network algorithm for predicting the surface roughness in end milling of inconel 718 alloy
by: Hossain, Mohammad Ishtiyaq, et al.
Published: (2008)

Development of an artificial neural network algorithm for predicting the cutting force in end milling of Inconel 718 alloy
by: Hossain, Ishtiaq, et al.
Published: (2011)

Experimental Characterization And Neural Network Prediction Of Dynamic Behavior Of Zta With Srco3 And Mgo
by: Arab, Ali
Published: (2016)

Development Of Maintenance Policy Selection (MPS) Model To Select The Optimal Maintenance Policy For A System In Palm Oil Mill
by: Ding , Siew Hong
Published: (2010)

A coupled artificial neural network and RSM model for the prediction of chip serration frequency in end milling of Inconel 718
by: Patwari, Muhammed Anayet Ullah, et al.
Published: (2011)

A New Hybrid Optimization Method Using Design Of Experiment Together With Artificial Neural Genetic Algorithm
by: Yahaya, Nor Zaiazmin
Published: (2011)

Prediction of Torque in Milling by Response Surface Method and Neural Network
by: K., Kadirgama
Published: (2008)

Prediction of Sepsis Progression in Critical Illness Using Artificial Neural Network
by: F. M., Suhaimi, et al.
Published: (2016)

Application of Artificial Neural Network for Prediction of Marine Diesel Engine Performance
by: C. W., Mohd Noor, et al.
Published: (2015)

Development Of Position Feedback Sensor Based On Vision Using Neural Network
by: Yunos, Yushazaziah Mohd
Published: (2009)

Monitoring and prediction of bearing failure by acoustic emission and neural network
by: Mahamad, Abd Kadir
Published: (2005)

Prediction of Marine Diesel Engine Performance by Using Artificial Neural Network Model
by: C. W., Mohd Noor, et al.
Published: (2016)

Development of Talus Implant based on Artificial Neural Network prediction of Talus Morphological Parameters
by: R., Daud, et al.
Published: (2015)

Performance And Emission Of Coated Porous Medium Burner With Cogeneration
by: Ismail, Ahmad Kamal
Published: (2016)

Deveploment of Novel Talus Implant Based on Artificial Neural Network Prediction of Talus Morphological Parameters
by: R., Daud, et al.
Published: (2015)

Comparative study of artificial neural network and mathematical model on marine diesel engine performance prediction
by: C. W., Mohd Noor, et al.
Published: (2018)

Performance & Emission Characteristic Of Emulsified Biofuel Application In Diesel Engine
by: Hamid, Mohd Fadzli
Published: (2017)

Application of artificial neural network (AAN) for prediction of sensible and latent heat losses from a cow
by: A. Khan, Zahid, et al.
Published: (2005)

Biomechanics Analysis During Cutting Oil Palm Fronds
by: Narendaran, Harisangar
Published: (2021)

EPE 401 – ARTIFICIAL INTELLIGENCE IN MANUFACTURING [KECERDIKAN REKAAN DALAM PEMBUATAN] - JUNE 2013
by: PPKM, Pusat Pengajian Kejuruteraan Mekanikal
Published: (2013)

EPE 401 – ARTIFICIAL INTELLIGENCE IN MANUFACTURING [KECERDIKAN REKAAN DALAM PEMBUATAN] - JUNE 2015
by: PPKM, Pusat Pengajian Kejuruteraan Mekanikal
Published: (2015)

Performance And Agglomeration Study Of Oil Palm Empty Fruit Bunch In A Bubbling Fluidized Bed Gasifier
by: Amiri, Pooya Lahijani
Published: (2011)

Assessment Of Force Required During Cutting Oil Palm Fronds
by: Ishak, Khairul Aiman
Published: (2021)

Tribological Properties Of Palm Oil-Based Grease With Nano Particle Additive
by: Lee, Ann Yen
Published: (2021)

Sound Absorption Of Micro-Perforated Panel Made By Oil Palm Fibre
by: Lim, Mei Hui
Published: (2021)

Study On The Development Of Ceramic Cutting Tool (zta I Zta-mgo) And Its Machining Performance In Slot Milling
by: Hassan, Mohd Nor Hakim
Published: (2010)

Study On Impact Of Dust Particles Towards Planetary Ball Milling Machine's Maintenance, Reliability And Performance Using DOE.
by: Kamaruddin, Shahrul, et al.
Published: (2007)

Modelling and simulation of surface roughness obtain from micro milling by using artificial neural network
by: Mohammed Saif, Yazid Abdulsameea
Published: (2014)

Ensemble model of Artificial Neural Networks with randomized number of hidden neurons
by: Fatai Adesina, Anifowose, et al.
Published: (2013)

A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel
by: I. M., Yusri, et al.
Published: (2018)

Product Demand Forecasting Using Artificial Neural Network (ANN)
by: Zainal Abidin, Zulhanim
Published: (2005)

Development Of Generative Computer-Aided Process Planning For Cnc Milling Parts_Pramodkumar S Kataraki
by: S Kataraki, Pramodkumar
Published: (2019)

Prediction of the displacement mechanism of the cracked soil using NXFEM and Artificial Neural Networks
by: Namdar, Abdoullah, et al.
Published: (2023)

Linear Static Response of Suspension Arm based on Artificial Neural Network Technique
by: M. M., Noor, et al.
Published: (2011)

Artificial Neural Network: The Alternative Method to Obtain the Dimension of Ankle Bone Parameters
by: R., Daud, et al.
Published: (2017)

Monitoring and Prediction of Exhaustion Threshold during Aerobic Exercise Based on Physiological System using Artificial Neural Network
by: Zulkifli, Ahmad@Manap, et al.
Published: (2018)

Characteristic Study Of Physiochemical Properties Of Hybrid Biofuel (Palm Oil And Alcohol Blend) For Compression Ignition Engine Application
by: Maidin, Mohammad Amiruddin Mohd.
Published: (2017)

Work-Related Musculoskeletal Risks And Electromyographic Analysis Of The Upper Body Muscles During Oil Palm Pruning Activities
by: Abdullah, Nadiah Aqilahwati
Published: (2021)