###### Abstract
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**ML Models** & **Input Feature** & **Output Feature** & **Reactor Type** & **Feedstock** & **Ref.** \\ \hline KNN, LR, SVR, DTR & T, Temp, CH\({}_{4}\), CO, O\({}_{2}\), & H\({}_{2}\) & Fixed bed & Olive pit & [3] \\ \hline PR, SVR, DTR, MLP & TD (\(T_{0}\)–\(T_{5}\)), ER, FR & CO, CO\({}_{2}\), CH\({}_{4}\), H\({}_{2}\), HHV & Downdraft & Woody biomass & [12] \\ \hline BLS-SVM, MC-RF & TD (\(T_{0}\)–\(T_{5}\)), ER, FR, MC, C, H, O, N, ash, FC & CH\({}_{4}\), H\({}_{2}\), CO, CO\({}_{2}\), HHV & Downdraft & Woody biomass & [13] \\ \hline ANN, GBR & R, T, SFR, C, ash, MC, VM, LHV, H, N, S, O, ER, Temp & CH\({}_{4}\), H\({}_{2}\), CO, CO\({}_{2}\), N\({}_{2}\) & Updraft & Rice husks & [14] \\ \hline \multirow{2}{*}{ANN, NARX} & TD (\(T_{0}\)–\(T_{5}\)), ER, AF, N, S, O, C, H, ash, MC, VM, LHV & CH\({}_{4}\), H\({}_{2}\), CO, CO\({}_{2}\), LHV & Downdraft & Pinecone particles, wood pellet & [15] \\ \hline ANN & O, MC, C, H, ash, ER, Temp, SB, BM & CH\({}_{4}\), H\({}_{2}\), CO, CO\({}_{2}\), GY & Lab-scale BFB & Woody biomass & [16] \\ \hline ANN & C, H, ash, MC, VM, N, S, O, LHV, ER, Temp & CGE, CCE, GY, CH\({}_{4}\), H\({}_{2}\), CO, CO\({}_{2}\), LHV & Downdraft, updraft, fluidized bed, entrained bed & Biomass, coal, blends of biomass, and coal. & [17] \\ \hline ANN & SB, Temp, coal bottom ash, CaO/biomass & CH\({}_{4}\), H\({}_{2}\), CO, CO\({}_{2}\) & Integrated fixed and circulating bed & Palm oil waste & [18] \\ \hline ANN & C, H, O, ash, M, Temp & CH\({}_{4}\), H\({}_{2}\), CO, CO\({}_{2}\) & Downdraft & Various woody biomass & [19] \\ \hline GPR, ANN, SVR, RF & C, H, O, ash & H\({}_{2}\) yield & SCWG & Agricultural waste, municipal solid waste & [20] \\ \hline ANN & GOP, RT, GA, GS, CU, BM, C, H, S, ash, MC, PS, Temp, ER & CH\({}_{4}\), H\({}_{2}\), CO, CO\({}_{2}\), N\({}_{2}\), C\({}_{2}\)H\({}_{n}\), LHV, T\({}_{n}\), GY, char yield & General gasifier types & Variety of feedstocks & [21] \\ \hline CFBP, FFBP, CFBP-GA & C, H, O, ash, VM, FC, W, Temp, MW, SFR & H\({}_{2}\), CO, CO\({}_{2}\), X & Various gasifier types & Food waste, sludge, mixed biomass waste & [22] \\ \hline LR, GB, LARS, RR, RF, BAG, MLP & T, BM, SB, C, H, O, MC, ash, ER & GY, H\({}_{2}\), CO, CO\({}_{2}\), CH\({}_{4}\) & BFB & Variety of biomass feedstock & [23] \\ \hline BANN, ANN & DT, Temp, SB, carrier gas flow rate, C, H, O & GY, residue, tar, H\({}_{2}\), CO, CO\({}_{2}\), CH\({}_{4}\) & Two-stage gasifier & Waste wood & [24] \\ \hline LR, PR, GR, SVR, DTR, ANN & Temp, CFR, BFR, FC, VM, ash, MC, AF, SFR, C, H, O, rate constant & GY, CCE, HHV, CGE & Fluidized bed gasifier & High-ash coal and biomass & [25] \\ \hline ANN & C, O, H, MC, VM, FC, ash, N, S; required power (kW) & Temp, AFR & Downdraft & 86 biomasses & [26] \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Overview of research on the application of machine learning models to gasification. landscape. H\({}_{2}\) holds significant potential as a green energy carrier, particularly for energy conversion devices such as fuel cells and generators. Furthermore, hydrogen produced from biomass presents an environmentally friendly energy solution and is a significant alternative to fossil fuels. On the other hand, CO\({}_{2}\) and CO, emitted during the combustion of fossil fuels, contribute to air pollution and accelerate climate change. Reducing these emissions is critical for transitioning to an environmentally conscious energy system. CH\({}_{4}\), a potent greenhouse gas primarily originating from natural gas, plays a critical role in green energy strategies when harnessed for biogas production. Integrating renewable energy sources--such as solar, wind, and biomass--into hydrogen and methane production, alongside effective control of CO\({}_{2}\) and CO emissions, represents a cornerstone for achieving a sustainable, low-emission energy future.