Estimation of Particulate Levels Using Deep Dehazing Network and Temporal Prior

Table 4

Experimental chamber study. The accuracy results of the regression models for various environmental conditions. The best results pertaining to each condition are underlined.

Nonprior	Normal state				Windiness		Prior		Normal state		Windiness
	RFR	SVR	MLPR	RFR	SVR	MLPR	RFR	SVR	MLPR	RFR	SVR	MLPR
Mean	0.7586	0.6412	0.7431	0.6403	0.5986	0.6653	0.7620	0.6441	0.7899	0.6951	0.4670	0.7235
Variance	0.7116	0.7805	0.7470	0.6319	0.6951	0.7249	0.6728	0.7995	0.8093	0.6357	0.6428	0.7764
Entropy	0.6511	0.7523	0.7528	0.7074	0.7780	0.6057	0.6934	0.8674	0.8699	0.7186	0.8428	0.8101
Nonprior	Temperature (low) (20°C)		Temperature (high) (40°C)		Prior		Temperature (low) (20°C)			Temperature (high) (40°C)
	RFR	SVR	MLPR	RFR	SVR	MLPR	RFR	SVR	MLPR	RFR	SVR	MLPR
Mean	0.6906	0.5189	0.7254	0.6105	0.5143	0.6856	0.7154	0.5162	0.8123	0.7636	0.5810	0.8094
Variance	0.7101	0.7567	0.7674	0.7083	0.7410	0.7528	0.6510	0.7854	0.8518	0.6883	0.7681	0.8082
Entropy	0.7517	0.7781	0.7056	0.6505	0.7696	0.7387	0.7215	0.8304	0.8319	0.7271	0.8330	0.8334
Nonprior	Humidity (low) (25%)		Humidity (high) (50%)		Prior		Humidity (low) (25%)			Humidity (high) (50%)
	RFR	SVR	MLPR	RFR	SVR	MLPR	RFR	SVR	MLPR	RFR	SVR	MLPR
Mean	0.6910	0.6397	0.6666	0.6593	0.6317	0.7234	0.7319	0.5523	0.7854	0.7462	0.5699	0.7734
Variance	0.7218	0.7581	0.6977	0.6745	0.6612	0.6715	0.6821	0.8149	0.7724	0.6770	0.7675	0.7379
Entropy	0.7203	0.7827	0.6660	0.6679	0.7674	0.6869	0.7466	0.8054	0.8524	0.7451	0.8174	0.8468
Nonprior	Illuminance (low) (100 lx)		Illuminance (high) (300 lx)		Prior		Illuminance (low) (100 lx)			Illuminance (high) (300 lx)
	RFR	SVR	MLPR	RFR	SVR	MLPR	RFR	SVR	MLPR	RFR	SVR	MLPR
Mean	0.6659	0.5286	0.7038	0.6562	0.5634	0.7140	0.7131	0.5506	0.6905	0.6672	0.5185	0.7522
Variance	0.6433	0.7024	0.6046	0.6450	0.7513	0.6685	0.6241	0.7861	0.7757	0.7384	0.7135	0.8104
Entropy	0.6588	0.7821	0.6280	0.6615	0.7764	0.6800	0.6825	0.8018	0.8031	0.6926	0.8355	0.8764