Intelligent modelling of fermentable sugar concentration and combined severity factor (CSF) index from pretreated starch-based lignocellulosic biomass

GS Aruwajoye, FD Faloye, A Kassim, AK Saha… - Biomass Conversion …, 2022 - Springer
Fermentable sugar release is a crucial step in the fermentation of lignocellulosic biomass to
biofuels. The efficiency of fermentable sugar release from pretreated biomass can be …

A machine learning based regression methods to predicting syngas composition for plasma gasification system

AIM Abdelrahim, Ö Yücel - Fuel, 2025 - Elsevier
Plasma gasification is considered a promising technology that converts waste into energy
through an environmentally friendly process. This research focuses on predicting the outputs …

Speaker Accent Recognition Using MFCC Feature Extraction and Machine Learning Algorithms

AA Ayrancı, S Atay, T Yıldırım - International Journal of Advances in …, 2021 - dergipark.org.tr
Speech and speaker recognition systems aim to analyze parametric information contained
in the human voice and recognize it at the highest possible rate. One of the most important …

Calorific value prediction models of processed refuse derived fuel 3 using ultimate analysis

J Tahir, R Ahmad, Z Tian - Biofuels, 2023 - Taylor & Francis
Various models have been developed to predict the calorific value of Biomass but only a few
models exist to predict this measure for the urban waste like Refuse Derived Fuel (RDF). In …

Comparison of modern methods using the python programming language in mass housing valuation

G Büyük, FB Ünel - Advanced Land Management, 2021 - publish.mersin.edu.tr
Multiple methods are used in the mass housing valuation. With the developing technology,
modern methods have gained speed. In this study, a systematic study was conducted with …

Predicting Natural Gas Heating Value using Supervised Machine Learning Models

SA Marfo - Ghana Mining Journal, 2024 - ajol.info
Heating value (HHV) is an essential parameter for evaluating natural gas quality. The
existence of supervised machine learning models is therefore necessary for HHV prediction …

A New Approach in Predicting the Higher Heating Value of Natural Gas from Ghana's Oil Fields

EPE Broni-Bediako, S Oware… - Journal of Chemical and …, 2023 - jchpe.ut.ac.ir
The Heating value of natural gas is used to determine the quality of the gas sample, hence
accurate prediction of heating value helps in controlling the issue of underbilling and …

Proximate Analysis of Vegetable and Fruit Waste Collected from the Kadi Vegetable Market, Gujarat

PJ Gupta, MJ Trivedi, HP Soni - … Biotechnology Research Asia, 2023 - biotech-asia.org
Vegetable and fruit waste are produced in huge quantities in the market. These wastes are
also nutritionally very rich and, can be a viable option to be used as a substrate for the …

Predictive Modeling of Co2 Methanation Reaction for Carbon Capture

O Okur - 2023 - preprints.org
Among various processes, catalytic CO2 methanation has emerged as a promising method
for carbon capture and utilization. Therefore, a CO2 methanation reaction studied with …