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Temporal pattern mining from user-generated content

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Digital Communications and Networks 2022年第6期8卷 1027-1039页

作者： adnan ali Jinlong Li Huanhuan Chen ali Kashif Bashir School of Computer Science and Technology University of Science and Technology of ChinaHefei230026AnhuiChina Department of Computing and Mathematics Manchester Metropolitan UniversityManchesterM156BHUnited Kingdom Department of Computer Science and Mathematics Lebanese American UniversityBeirutLebanon Woxsen School of Business Woxsen UniversityIndia

Faster internet, IoT, and social media have reformed the conventional web into a collaborative web resulting in enormous user-generated content. Several studies are focused on such content;however, they mainly focus on textual data, thus undermining the importance of metadata. Considering this gap, we provide a temporal pattern mining framework to model and utilize user-generated content's metadata. First, we scrap 2.1 million tweets from Twitter between Nov-2020 to Sep-2021 about 100 hashtag keywords and present these tweets into 100 User-Tweet-Hashtag (UTH) dynamic graphs. Second, we extract and identify four time-series in three timespans (Day, Hour, and Minute) from UTH dynamic graphs. Lastly, we model these four time-series with three machine learning algorithms to mine temporal patterns with the accuracy of 95.89%, 93.17%, 90.97%, and 93.73%, respectively. We demonstrate that user-generated content's metadata contains valuable information, which helps to understand the users' collective behavior and can be beneficial for business and research. Dataset and codes are publicly available;the link is given in the dataset section.

关键词： Social media analysis Collaborative computing Social data Twitter data Temporal patterns mining Dynamic graphs

Enhanced Best Fit Algorithm for Merging Small Files

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Computer Systems Science & Engineering 2023年第7期46卷 913-928页

作者： adnan ali Nada Masood Mirza Mohamad Khairi Ishak School of Electrical and Electronic Engineering Universiti Sains Malaysia(USM)Nibong TebalPulau Pinang14300Malaysia University College United Arab Emirates UniversityAl AinUAE

In the Big Data era,numerous sources and environments generate massive amounts of *** enormous amount of data necessitates specialized advanced tools and procedures that effectively evaluate the information and anticipate decisions for future *** is used to process this kind of *** is known to handle vast volumes of data more efficiently than tiny amounts,which results in inefficiency in the *** study proposes a novel solution to the problem by applying the Enhanced Best Fit Merging algorithm(EBFM)that merges files depending on predefined parameters(type and size).Implementing this algorithm will ensure that the maximum amount of the block size and the generated file size will be in the same *** primary goal is to dynamically merge files with the stated criteria based on the file type to guarantee the efficacy and efficiency of the established *** procedure takes place before the files are available for the Hadoop ***,the files generated by the system are named with specific keywords to ensure there is no data loss(file overwrite).The proposed approach guarantees the generation of the fewest possible large files,which reduces the input/output memory burden and corresponds to the Hadoop framework’s *** findings show that the proposed technique enhances the framework’s performance by approximately 64%while comparing all other potential performance-impairing *** proposed approach is implementable in any environment that uses the Hadoop framework,not limited to smart cities,real-time data analysis,etc.

关键词： Big data Hadoop MapReduce small file HDFS

Tailoring the optical and magnetic properties of La-BaM hexaferrites by Ni substitution

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Chinese Physics B 2022年第2期31卷 570-575页

作者： Hafiz T.ali MRamzan M Imran Arshad Nicola A.Morley M.Hassan Abbas Mohammad Yusuf Atta Ur Rehman Khalid Mahmood adnan ali Nasir Amin MAjaz-un-Nabi Department of Mechanical Engineering College of EngineeringTaif UniversityTaif 21944Saudi Arabia Department of Physics Government College UniversityFaisalabadPakistan Department of Materials Science and Engineering University of SheffieldSir Robert Hadfield BuildingMapping St.SheffieldS13JDUK Department of Clinical Pharmacy College of PharmacyTaif UniversityTaif 21944Saudi Arabia

We investigate the impact of Ni insertion on the structural,optical,and magnetic properties of Ba_(0.8)La_(0.2)Fe_(12-x)Ni_(x)O_(19)hexaferrites(Ni substituted La-BaM hexaferrites).Samples were prepared using the conventional co-precipitation method and sintered at 1000℃for 4 hours to assist the crystallization *** analysis of the structure of the samples was carried out using an x-ray diffraction(XRD)*** M-type hexagonal structure of all the samples was confirmed using XRD *** lattice parameters a and c were found to be in the ranges of 5.8925±0.001 nm–5.8952±0.001 nm and 23.2123±0.001 nm–23.2219±0.001 nm,*** M-type hexagonal nature of the prepared samples was also indicated by the presence of corresponding FT-IR bands and Raman modes in the FT-IR and Raman spectra,*** results confirmed the successful synthesis of the samples according to the required stoichiometric ratio.A UV-vis spectrometer was used to record the absorption spectra of the prepared samples in the wavelength range of 200 nm–1100 *** optical energy bandgap of the samples was found to be in the range of 1.21 eV–3.39 *** M–H loops of the samples were measured at room temperature at an applied magnetic field range of 0 kOe–60 kOe.A high saturation magnetization of 99.92 emu/g was recorded in the sample with x=0 at a microwave operating frequency of 22.2 *** high value of saturation magnetization is due to the substitution of La3+ions at the spin-up(12k,2a,and 2b)*** Ni substitution is proven to be a potential candidate for the tuning of the optical and magnetic parameters of M-type ***,we suggest that the prepared samples are suitable for use in magneto-optic applications.

关键词： M-type hexaferrite nanostructured materials magnetic properties optical properties

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Real-Time Spammers Detection Based on Metadata Features with Machine Learning

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Intelligent Automation & Soft Computing 2023年第12期38卷 241-258页

作者： adnan ali Jinlong Li Huanhuan Chen Uzair Aslam Bhatti Asad Khan School of Computer Science and Technology University of Science and Technology of ChinaHefei230026China School of Information and Communication Engineering Hainan UniversityHaikou570228China Metaverse Research Institute School of Computer Science and Cyber EngineeringGuangzhou UniversityGuangzhou510006China

Spammer detection is to identify and block malicious activities performing *** users should be identified and terminated from social media to keep the social media process organic and to maintain the integrity of online social *** research aimed to find spammers based on hybrid approaches of graph mining,posted content,and metadata,using small and manually labeled ***,such hybrid approaches are unscalable,not robust,particular dataset dependent,and require numerous parameters,complex graphs,and natural language processing(NLP)resources to make decisions,which makes spammer detection impractical for real-time *** example,graph mining requires neighbors’information,posted content-based approaches require multiple tweets from user profiles,then NLP resources to make decisions that are not applicable in a real-time *** fill the gap,firstly,we propose a REal-time Metadata based Spammer detection(REMS)model based on only metadata features to identify spammers,which takes the least number of parameters and provides adequate *** is a scalable and robust model that uses only 19 metadata features of Twitter users to induce 73.81%F1-Score classification accuracy using a balanced training dataset(50%spam and 50%genuine users).The 19 features are 8 original and 11 derived features from the original features of Twitter users,identified with extensive experiments and ***,we present the largest and most diverse dataset of published research,comprising 211 K spam users and 1 million genuine *** diversity of the dataset can be measured as it comprises users who posted 2.1 million Tweets on seven topics(100 hashtags)from 6 different geographical *** REMS’s superior classification performance with multiple machine and deep learning methods indicates that only metadata features have the potential to identify spammers rather than focusing on volatile posted content and complex graph ***

关键词： Spam detection online social networks metadata machine learning

Smart Energy Management System Using Machine Learning

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Computers, Materials & Continua 2024年第1期78卷 959-973页

作者： ali Sheraz Akram Sagheer Abbas Muhammad adnan Khan Atifa Athar Taher M.Ghazal Hussam Al Hamadi School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Pattern Recognition and Machine Learning Lab Department of SoftwareGachon UniversitySeongnamGyeonggido13120Korea Department of Computer Science COMSATS University IslamabadLahore CampusLahore54000Pakistan School of Information Technology Skyline University CollegeSharjah1797United Arab Emirates Network and Communication Technology Lab Center for Cyber SecurityFaculty of Information Science and TechnologyUniversiti Kebangsaan MalaysiaBangiSelangor43600Malaysia College of Engineering and IT University of DubaiDubaiUnited Arab Emirates

Energy management is an inspiring domain in developing of renewable energy ***,the growth of decentralized energy production is revealing an increased complexity for power grid managers,inferring more quality and reliability to regulate electricity flows and less imbalance between electricity production and *** major objective of an energy management system is to achieve optimum energy procurement and utilization throughout the organization,minimize energy costs without affecting production,and minimize environmental *** energy management is an essential and complex subject because of the excessive consumption in residential buildings,which necessitates energy optimization and increased user *** address the issue of energy management,many researchers have developed various frameworks;while the objective of each framework was to sustain a balance between user comfort and energy consumption,this problem hasn’t been fully solved because of how difficult it is to solve *** inclusive and Intelligent Energy Management System(IEMS)aims to provide overall energy efficiency regarding increased power generation,increase flexibility,increase renewable generation systems,improve energy consumption,reduce carbon dioxide emissions,improve stability,and reduce energy *** Learning(ML)is an emerging approach that may be beneficial to predict energy efficiency in a better way with the assistance of the Internet of Energy(IoE)*** IoE network is playing a vital role in the energy sector for collecting effective data and usage,resulting in smart resource *** this research work,an IEMS is proposed for Smart Cities(SC)using the ML technique to better resolve the energy management *** proposed system minimized the energy consumption with its intelligent nature and provided better outcomes than the previous approaches in terms of 92.11% accuracy,and 7.89% miss-rate.

关键词： Intelligent energy management system smart cities machine learning

Phase transformation from cubic ZnS to hexagonal ZnO by thermal annealing

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Journal of Semiconductors 2015年第3期36卷 19-22页

作者： K.Mahmood M.Asghar N.Amin adnan ali Department of Physics GC University Faisalabad Department of Physics The Islamia University of Bahawalpur

We have investigated the mechanism of phase transformation from ZnS to hexagonal ZnO by high- temperature thermal annealing. The ZnS thin films were grown on Si （001） substrate by thermal evaporation system using ZnS powder as source material. The grown films were annealed at different temperatures and characterized by X-ray diffraction （XRD）, photoluminescence （PL）, four-point probe, scanning electron microscope （SEM） and energy dispersive X-ray diffraction （EDX）. The results demonstrated that as-deposited ZnS film has mixed phases but high-temperature annealing leads to transition from ZnS to ZnO. The observed result can be explained as a two- step process：（1） high-energy O atoms replaced S atoms in lattice during annealing process, and （2） S atoms diffused into substrate and/or diffused out of the sample. The dissociation energy of ZnS calculated from the Arrhenius plot of 1000/T versus log （resistivity） was found to be 3.1 eV. PL spectra of as-grown sample exhibits a characteristic green emission at 2.4 eV of ZnS but annealed samples consist of band-to-band and defect emission of ZnO at 3.29 eV and 2.5 eV respectively. SEM and EDX measurements were additionally performed to strengthen the argument.

关键词： ZnS phase transformation EDX XRD PL

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Syzygium aromaticum ethanol extract reduces AlCl_3-induced neurotoxicity in mice brain through regulation of amyloid precursor protein and oxidative stress gene expression

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Asian Pacific Journal of Tropical Medicine 2018年第2期11卷 123-130页

作者： Sanila Amber Syed adnan ali Shah Touqeer Ahmed Saadia Zahid Neurobiology Research Laboratory Department of Healthcare BiotechnologyAtta-ur-Rahman School of Applied BiosciencesNational University of Sciences and Technology Atta-ur-Rahman Institute for Natural Product Discovery (AuRIns)Universiti Teknologi MARA Puncak Alam Campus Faculty of Pharmacy Universiti Teknologi MARA Puncak Alam Campus

Objective: To investigate the neuroprotective effects of Syzygium aromaticum(***)extract(500 mg/kg) on AlCl_3(300 mg/kg)-induced mouse model of oxidative stress and ***: An ethanolic extract of *** seeds was prepared and the active compounds were identified using nuclear magnetic resonance ***/c mice were divided into five groups(negative control, AlCl_3-treated, self-recovery, AlCl_3 + ***, *** only; n=10) and treated with AlCl_3 and *** *** of oxidative markers [Superoxide dismutase 1(SOD1) and peroxiredoxin 6(Prdx6)] and amyloid precursor protein(APP) in the hippocampus and cortex was evaluated via *** assessment was performed to investigate the extent of ***: It was observed that AlCl_3 exposure increased the expression of APP770 while simultaneously down regulated the expression of ***_3 also induced a significant decrease(Palized the alterations in the expression level of SOD1, Prdx6 and APPisoforms and improved the neuronal structural ***: The results showed that *** is a promising antioxidant and a neuroprotective agent.

关键词： Amyloid precursor protein Oxidative stress Aluminum Neurodegeneration

Development of a functional chocolate using gamma-amino butyric acid producer Lacticaseibacillus rhamnosus NRRL B-442

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Food Bioscience 2022年第3期47卷 700-706页

作者： Merve Ozer Burcu Ozturk ali adnan Hayaloglu Sebnem Tellioglu Harsa İzmir Institute of Technology Faculty of EngineeringDepartment of Food EngineeringGulbahçe Campus35430UrlaİzmirTurkey İnönü University Faculty of EngineeringDepartment of Food Engineering44280MalatyaTurkey

The human microbiota is influenced by the immune and nervous systems of the ***-aminobutyric acid (GABA) is known as bioactive compound and it has important physiological functions,such as anti-hypertensive and antidepressant *** acid bacteria (LAB),especially Lactobacillus species are known as the most important GABA producers because of the food-grade *** purpose of this study is to develop a functional chocolate using microencapsulated GABA producer Lacticaseibacillus rhamnosus NRRL B-442 strain for patients having an anxiety ***-in-oil emulsion technique was conducted for microencapsulation using whey-pullulan *** and free *** cell counts were 6.75 and 7.20 log CFU/g in chocolates,respectively,at the end of 60 *** simulated in vitro digestion analysis,survival rate of microencapsulated bacteria in chocolate samples was found at higher percentage (87%) than free bacteria (75%).Furthermore,microencapsulated *** did not affect the physical,chemical,and sensory properties of ***,*** with the highest GABA producing capability may provide insight for an anxiety disorder patient,since this strain has been thought as having a therapeutic effect.A new functional food model was developed for “GutBrain Axis” phenomena since the chocolate could be accepted as a good carrier for GABA producer bacteria.

关键词： Microencapsulation Anxiety disorder Functional food Simulated digestion

A novel fractional case study of nonlinear dynamics via analytical approach

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Applied Mathematics(A Journal of Chinese Universities) 2024年第2期39卷 276-290页

作者： Hassan Khan adnan Khan Rasool Shah Dumitru Baleanu Department of Mathematics Abdul Wali khan UniversityMardan 23200Pakistan Department of Mathematics Faculty of Arts and SciencesCankaya UniversityAnkara 06530Turkey Institute of Space Sciences Magurele-BucharestRomania

The present work describes the fractional view analysis of Newell-Whitehead-Segal equations,using an innovative *** work is carried with the help of the Caputo operator of fractional *** analytical solutions of some numerical examples are presented to confirm the reliability of the proposed *** derived results are very consistent with the actual solutions to the problems.A graphical representation has been done for the solution of the problems at various fractional-order ***,the solution in series form has the desired rate of convergence and provides the closed-form *** is noted that the procedure can be modified in other directions for fractional order problems.

关键词： Homotopy Perturbation method Shehu transform Newell-Whitehead-Segel Equation Caputo operator

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