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12篇 您的检索式：作者名="ALKAHTANI S"

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		题名	作者	年代	出处	被引量
	1	Mechanical performance of heat treated 319 al- loys as a function of alloying and aging parameters显示文摘	ALKAHTANI S	2012	Materials and Design2012，41，：	1
	2	Arsenic trioxide-mediated oxidative stress and genotoxicity in human hepatocellular carcinoma cells 显示文摘	ALARIFI S ALl D ALKAHTANI S	2013	Onco Therapy2013，6，：	1
	3	Arsenic trioxide- mediated oxidative stress and genotoxicity in human hepatocellular carcinoma cells显示文摘	Alarifi S Ali D Alkahtani S eta\|	2013	Onco Targets Ther2013，，：	1
	4	Arsenic trioxide-mediatedoxidative stress and genotoxicity in human hepatocellularcarcinoma cells显示文摘	Alarifi S Ali D Alkahtani S	2013	Oncol Targets Ther2013，6，：	1
	5	Prioritised Best Effort Routing with Four Quality of Service Metrics Applying the Concept of the Analytic Hierarchy Process 显示文摘	Abdullah M S Alkahtani M E Woodward and A1-Begain K	2006	Computers & Operations Research2006，33，：	1
	6	Arsenic trioxide-mediated oxidative stress and genotoxicity in human hepatocellular carcinoma cells显示文摘	Alarifi S Ali D Alkahtani S	2013	Once Targets Ther2013，6，：	1
	7	Association between sedentary and physical activity patterns and risk factors of metabolic syndrome in Saudi men: A cross - sectional study 显示文摘	Alkahtani S Elkilany A Alharifi M	2015	BMC Public Health2015，15，1：	1
	8	Arsenic trioxide-mediated oxidative stress and genotoxicity in human hepatocellular carcinoma cells 显示文摘	Alarifi S Ali D Alkahtani S	2013	OncoTargets & Therapy2013，1，6：	1
	9	Arsenic trioxidemediatedoxidative stress and genotoxicity in human hepatocellular carcinomacells显示文摘	Alarifi S Ali D Alkahtani S	2013	Onco Targets Ther2013，6，：	1
	10	Efficiency and productivity change estimation of traditional fishery sector at the arabian gulf: the malmquist productivity index approach 显示文摘	ELHENDY A M ALKAHTANI S H	2012	The Journal of An- imal & Plant Sciences2012，，22：	1
	11	Arsenic trioxide mediated oxi- dative stress and genotoxicity in human hepatocellular carcinoma cells显示文摘	Alarifi S Ali D Alkahtani S	2013	Oneo Targets Ther2013，6，：	1
	12	Modeling of Sensor Enabled IrrigationManagement for Intelligent Agriculture Using Hybrid Deep Belief Network显示文摘Artificial intelligence(AI)technologies and sensors have recently received significant interest in intellectual agriculture.Accelerating the application of AI technologies and agriculture sensors in intellectual agriculture is urgently required for the growth of modern agriculture and will help promote smart agriculture.Automatic irrigation scheduling systems were highly required in the agricultural field due to their capability to manage and save water deficit irrigation techniques.Automatic learning systems devise an alternative to conventional irrigation management through the automatic elaboration of predictions related to the learning of an agronomist.With this motivation,this study develops a modified black widow optimization with a deep belief network-based smart irrigation system(MBWODBN-SIS)for intelligent agriculture.The MBWODBN-SIS algorithm primarily enables the Internet of Things(IoT)based sensors to collect data forwarded to the cloud server for examination purposes.Besides,the MBWODBN-SIS technique applies the deep belief network(DBN)model for different types of irrigation classification:average,high needed,highly not needed,and not needed.The MBWO algorithm is used for the hyperparameter tuning process.A wideranging experiment was conducted,and the comparison study stated the enhanced outcomes of the MBWODBN-SIS approach to other DL models with maximum accuracy of 95.73%.	Saud Yonbawi Sultan Alahmari B.R.S.S.Raju Chukka Hari Govinda Rao Mohamad Khairi Ishak Hend Khalid Alkahtani JoséVarela-Aldás Samih M.Mostafa	2023	Computer Systems Science & Engineering2023，46，8：	0

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