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| 1 | The clinical significance of calcium- signalling pathways mediating human sperm hyperactivation 显示文摘 | Alasmari W Barratt CL Publicover SJ | 2013 | Hum Reprod2013，28，4： | 1 |
| 2 | Corticoste- roid administration and outcome of adolescents and adults with acute bacterial meningitis: a meta-analysis显示文摘 | Assiri AM Alasmari FA Zimmerman VA | 2012 | Mayo Clin Proc2012，8，4： | 1 |
| 3 | Cardioprotective HIF-1α-frataxin signaling against ischemia-reperfusion injury显示文摘 | Nanayakkara G Alasmari A Mouli S Eldoumani H Quindry J McGinnis G | 2015 | Am J Physiol Heart Circ Physiol2015，309，： | 1 |
| 4 | A clinical prediction rule of deep sternal wound infections after coronary artery bypass graft surgery:a population-based cohort study,1993 to 2008显示文摘 | Tleyjeh I Alasmari F Riaz M | 2012 | Clin Microbiol Infect2012，18，3： | 1 |
| 5 | Association between preoperative statin therapy and postoperative infectious complications in patients undergoing cardiac surgery:a systematic review and meta-analysis显示文摘 | Tleyjeh IM Alasmari FA Bin Abdulhak AA | 2012 | Infect Control Hosp Epidemiol2012，33，11： | 1 |
| 6 | The role of combination antifungal therapy in the treatment of invasive aspergillosis:a systematic review显示文摘 | Garbati MA Alasmari FA Al-Tannir MA | | 0，，： | 1 |
| 7 | Association between preoperative statin therapy and postoperative infectious complications in patients undergoing cardiac surgery:asystematic review and meta-analysis显示文摘 | Tleyjeh IM Alasmari FA Bin Abdulhak AA | 2012 | Infect Control Hosp Epidemiol2012，33，11： | 1 |
| 8 | Control of Linear Servo Carts with Integral-Based Disturbance Rejection显示文摘This paper describes a system designed for linear servo cart systems that employs an integral-based Linear Active Disturbance Rejection Control(ILADRC)scheme to detect and respond to disturbances.The upgrade in this control technique provides extensive immunity to uncertainties,attenuation,internal disturbances,and external sources of noise.The fundamental technology base of LADRC is Extended State Observer(ESO).LADRC,when combined with Integral action,becomes a hybrid control technique,namely ILADRC.Setpoint tracking is based on Bode’s Ideal Transfer Function(BITF)in this proposed ILADRC technique.This proves to be a very robust and appropriate pole placement scheme.The proposed LSC system has experimented with the hybrid ILADRC technique plotted the results.From the results,it is evident that the proposed ILADRC scheme enhances the robustness of the LSC system with remarkable disturbance rejection.Furthermore,the results of a linear quadratic regulator(LQR)and ILADRC schemes are comparatively analyzed.This analysis deduced the improved performance of ILADRC over the LQR control scheme. | Ibrahim M.Mehedi Abdulah Jeza Aljohani Ubaid M.Al-Saggaf Ahmed I.Iskanderani Thangam Palaniswamy Mohamed Mahmoud Mohammed J.Abdulaal Muhammad Bilal Waleed Alasmary | 2022 | Computers, Materials & Continua2022，，10： | 0 |
| 9 | Intrusion Detection Based on Bidirectional Long Short-Term Memory with Attention Mechanism显示文摘With the recent developments in the Internet of Things(IoT),the amount of data collected has expanded tremendously,resulting in a higher demand for data storage,computational capacity,and real-time processing capabilities.Cloud computing has traditionally played an important role in establishing IoT.However,fog computing has recently emerged as a new field complementing cloud computing due to its enhanced mobility,location awareness,heterogeneity,scalability,low latency,and geographic distribution.However,IoT networks are vulnerable to unwanted assaults because of their open and shared nature.As a result,various fog computing-based security models that protect IoT networks have been developed.A distributed architecture based on an intrusion detection system(IDS)ensures that a dynamic,scalable IoT environment with the ability to disperse centralized tasks to local fog nodes and which successfully detects advanced malicious threats is available.In this study,we examined the time-related aspects of network traffic data.We presented an intrusion detection model based on a twolayered bidirectional long short-term memory(Bi-LSTM)with an attention mechanism for traffic data classification verified on the UNSW-NB15 benchmark dataset.We showed that the suggested model outperformed numerous leading-edge Network IDS that used machine learning models in terms of accuracy,precision,recall and F1 score. | Yongjie Yang Shanshan Tu Raja Hashim Ali Hisham Alasmary Muhammad Waqas Muhammad Nouman Amjad | 2023 | Computers, Materials & Continua2023，，1： | 0 |
| 10 | Intelligent Dynamic Inversion Controller Design for Ball and Beam System显示文摘The Ball and beam system(BBS)is an attractive laboratory experimental tool because of its inherent nonlinear and open-loop unstable properties.Designing an effective ball and beam system controller is a real challenge for researchers and engineers.In this paper,the control design technique is investigated by using Intelligent Dynamic Inversion(IDI)method for this nonlinear and unstable system.The proposed control law is an enhanced version of conventional Dynamic Inversion control incorporating an intelligent control element in it.The Moore-PenroseGeneralized Inverse(MPGI)is used to invert the prescribed constraint dynamics to realize the baseline control law.A sliding mode-based intelligent control element is further augmented with the baseline control to enhance the robustness against uncertainties,nonlinearities,and external disturbances.The semi-global asymptotic stability of IDI control is guaranteed in the sense of Lyapunov.Numerical simulations and laboratory experiments are carried out on this ball and beam physical system to analyze the effectiveness of the controller.In addition to that,comparative analysis of RGDI control with classical Linear Quadratic Regulator and Fractional Order Controller are also presented on the experimental test bench. | Ibrahim M.Mehedi Abdulah Jeza Aljohani Md Mottahir Alam Mohamed Mahmoud Mohammed J.Abdulaal Muhammad Bilal Waleed Alasmary | 2022 | Computers, Materials & Continua2022，，8： | 0 |
| 11 | DNA-Barcoding of Some Medicinal Plant Species in Saudi Arabia Using rbcL and matK Genes显示文摘In the Kingdom of Saudi Arabia(KSA),thousands of plants are considered to have therapeutic value.The ambiguous use of identification mainly morphological characteristics of many plants has resulted in the adulteration and displacement of plant products which undermine their therapeutic value and weak documentation of plant resources.The aims of this study were therefore to evaluate genetic variability and explore the phylogeographic architecture for Saudi medicinal plant samples using rbcL and matK genes as barcodes for genomic identification.The matK and rbcL sequences collected for these samples were used as key markers for examining the relationship between Saudi medicinal plant species based on genetic diversity.During our study we were successful in identifying and documenting 4 different species(Foeniculum vulgare,Nitraria retusa,Dodonaea viscosa,and Rumex nervosus)located in Saudi Arabia using DNA barcoding technique.A total number of 8 sequences were obtained with a total sequence length of 6176 bp,where it ranged from 617 bp to 878 bp with an aver-age length of 772 bp.The total number of rbcL sequences length is 2801 bp,where it ranges from 617 bp to 807 bp with an average length of 700.2 bp.Out of the 4 plant samples used,only three samples were identified correctly on the species level with an identity percentage higher than 95%using rbcL gene.Additionally,4 matK sequences have been retrieved belong to 4 species.The total number of matK sequences length is 3375 bp,where it ranges from 819 bp to 878 bp with an average length of 843.8 bp.Out of the 4 plant samples used,only two samples were identified correctly on the species level with an identity percentage higher than 98% using matK gene.Both rbcL and matK have been able to identify most of our collected plant samples by genus,and some by species.Using only one DNA-barcoding technique was not reliable for plant identification,where matK and rbcL must be used as a dual DNA-barcoding procedure. | Abdulrahman Alasmari | 2020 | Phyton-International Journal of Experimental Botany2020，89，4： | 0 |
| 12 | Enhancing Energy Efficiency with a Dynamic Trust Measurement Scheme in Power Distribution Network显示文摘The application of Intelligent Internet of Things(IIoT)in constructing distribution station areas strongly supports platform transformation,upgrade,and intelligent integration.The sensing layer of IIoT comprises the edge convergence layer and the end sensing layer,with the former using intelligent fusion terminals for real-time data collection and processing.However,the influx of multiple low-voltage in the smart grid raises higher demands for the performance,energy efficiency,and response speed of the substation fusion terminals.Simultaneously,it brings significant security risks to the entire distribution substation,posing a major challenge to the smart grid.In response to these challenges,a proposed dynamic and energy-efficient trust measurement scheme for smart grids aims to address these issues.The scheme begins by establishing a hierarchical trust measurement model,elucidating the trust relationships among smart IoT terminals.It then incorporates multidimensional measurement factors,encompassing static environmental factors,dynamic behaviors,and energy states.This comprehensive approach reduces the impact of subjective factors on trust measurements.Additionally,the scheme incorporates a detection process designed for identifying malicious low-voltage end sensing units,ensuring the prompt identification and elimination of any malicious terminals.This,in turn,enhances the security and reliability of the smart grid environment.The effectiveness of the proposed scheme in pinpointing malicious nodes has been demonstrated through simulation experiments.Notably,the scheme outperforms established trust metric models in terms of energy efficiency,showcasing its significant contribution to the field. | Yilei Wang Xin Sun Guiping Zheng Ahmar Rashid Sami Ullah Hisham Alasmary Muhammad Waqas | 2024 | Computers, Materials & Continua2024，78，3： | 0 |
| 13 | Machine-Learning-Enabled Obesity Level Prediction Through Electronic Health Records显示文摘Obesity is a critical health condition that severely affects an individual’s quality of life andwell-being.The occurrence of obesity is strongly associated with extreme health conditions,such as cardiac diseases,diabetes,hypertension,and some types of cancer.Therefore,it is vital to avoid obesity and or reverse its occurrence.Incorporating healthy food habits and an active lifestyle can help to prevent obesity.In this regard,artificial intelligence(AI)can play an important role in estimating health conditions and detecting obesity and its types.This study aims to see obesity levels in adults by implementing AIenabled machine learning on a real-life dataset.This dataset is in the form of electronic health records(EHR)containing data on several aspects of daily living,such as dietary habits,physical conditions,and lifestyle variables for various participants with different health conditions(underweight,normal,overweight,and obesity type I,II and III),expressed in terms of a variety of features or parameters,such as physical condition,food intake,lifestyle and mode of transportation.Three classifiers,i.e.,eXtreme gradient boosting classifier(XGB),support vector machine(SVM),and artificial neural network(ANN),are implemented to detect the status of several conditions,including obesity types.The findings indicate that the proposed XGB-based system outperforms the existing obesity level estimation methods,achieving overall performance rates of 98.5%and 99.6%in the scenarios explored. | Saeed Ali Alsareii Muhammad Awais Abdulrahman Manaa Alamri Mansour Yousef AlAsmari Muhammad Irfan Mohsin Raza Umer Manzoor | 2023 | Computer Systems Science & Engineering2023，46，9： | 0 |
| 14 | RPL-Based IoT Networks under Decreased Rank Attack:Performance Analysis in Static and Mobile Environments显示文摘The RPL(IPv6 Routing Protocol for Low-Power and Lossy Networks)protocol is essential for efficient communi-cation within the Internet of Things(IoT)ecosystem.Despite its significance,RPL’s susceptibility to attacks remains a concern.This paper presents a comprehensive simulation-based analysis of the RPL protocol’s vulnerability to the decreased rank attack in both static andmobilenetwork environments.We employ the Random Direction Mobility Model(RDM)for mobile scenarios within the Cooja simulator.Our systematic evaluation focuses on critical performance metrics,including Packet Delivery Ratio(PDR),Average End to End Delay(AE2ED),throughput,Expected Transmission Count(ETX),and Average Power Consumption(APC).Our findings illuminate the disruptive impact of this attack on the routing hierarchy,resulting in decreased PDR and throughput,increased AE2ED,ETX,and APC.These results underscore the urgent need for robust security measures to protect RPL-based IoT networks.Furthermore,our study emphasizes the exacerbated impact of the attack in mobile scenarios,highlighting the evolving security requirements of IoT networks. | Amal Hkiri Mouna Karmani Omar Ben Bahri Ahmed Mohammed Murayr Fawaz Hassan Alasmari Mohsen Machhout | 2024 | Computers, Materials & Continua2024，78，1： | 0 |
| 15 | Artificial Intelligence and Internet of Things Enabled Intelligent Framework for Active and Healthy Living显示文摘Obesity poses several challenges to healthcare and the well-being of individuals.It can be linked to several life-threatening diseases.Surgery is a viable option in some instances to reduce obesity-related risks and enable weight loss.State-of-the-art technologies have the potential for long-term benefits in post-surgery living.In this work,an Internet of Things(IoT)framework is proposed to effectively communicate the daily living data and exercise routine of surgery patients and patients with excessive weight.The proposed IoT framework aims to enable seamless communications from wearable sensors and body networks to the cloud to create an accurate profile of the patients.It also attempts to automate the data analysis and represent the facts about a patient.The IoT framework proposes a co-channel interference avoidance mechanism and the ability to communicate higher activity data with minimal impact on the bandwidth requirements of the system.The proposed IoT framework also benefits from machine learning based activity classification systems,with relatively high accuracy,which allow the communicated data to be translated into meaningful information. | Saeed Ali Alsareii Mohsin Raza Abdulrahman Manaa Alamri Mansour Yousef AlAsmari Muhammad Irfan Hasan Raza Muhammad Awais | 2023 | Computers, Materials & Continua2023，，5： | 0 |
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