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Benefitting from Geoinformatics: Estimating Floristic Diversity of Warwan Valley in Northwestern Himalaya,India

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Journal of Mountain Science 2015年第4期12卷 854-863页

作者： Akhtar Hussain malik Irfan RASHID Aijaz Hassan GANIE Anzar Ahmad KHUROO Ghulam Hassan DAR Centre for Biodiversity and Taxonomy Department of Botany University of Kashmir Department of Earth Sciences University of Kashmir Department of Botany University of Kashmir Mahatma Gandhi Chair on Ecology and Environment Centre for Biodiversity Studies Baba Ghulam Shah Badshah University

The Himalaya harbor rich floristic diversity which is of immense scientific interest and socio-economic *** this study, floristic diversity of a remote alpine valley has been studied based on information extracted from remotely sensed satellite data along with field surveys undertaken during *** of vegetation information from satellite data revealed that ~75% of the area is covered with natural vegetation which comprises lush green coniferous forests, alpine pastures and alpine scrub *** inputs from vegetation information extracted from satellite data, comprehensive field surveys were planned to document the floristic diversity of the *** of species composition showed a total of 285 plant species,belonging to 191 genera in 60 *** these, 250 species are herbs, 14 shrubs, 2 sub-shrubs and 19 *** dicotyledons are represented by 240 species, monocotyledons 30, gymnosperms 04, andpteriodophytes 11 *** is the largest family with 35 *** the present study, 5species（Corydalis cashmeriana, Hippophae rhamnoides, Primula minutissima, Saussurea sacra and Inula orientalis） have been recorded for the first time from this Himalayan *** study demonstrates the benefits of geo-informatics in floristic studies, particularly the robustness of remotely sensed data in identifying areas with potentially high species richness, which would be otherwise difficult in a complex mountainous terrain using traditional floristic surveys *** present study is expected to provide baseline scientific data for cutting edge studies relating to long term ecological research, bioprospecting, possible impacts of changing climate on vegetation and sustainable use of plant resources in this Himalayan region.

关键词： Floristic diversity Northwestern Himalaya Remote sensing GIS Vegetation sampling

Modified Buffalo Optimization with Big Data Analytics Assisted Intrusion Detection Model

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Computer Systems Science & Engineering 2023年第8期46卷 1415-1429页

作者： R.Sheeba R.Sharmila Ahmed Alkhayyat Rami Q.malik Department of Computer Science and Engineering K.Ramakrishnan College of EngineeringTiruchirappalli621112India Department of Computer Applications Dhanalakshmi Srinivasan Engineering CollegePerambalur621212India College of Technical Engineering The Islamic UniversityNajafIraq Medical Instrumentation Techniques Engineering Department Al-Mustaqbal University CollegeBabylonIraq

Lately,the Internet of Things(IoT)application requires millions of structured and unstructured data since it has numerous problems,such as data organization,production,and *** address these shortcomings,big data analytics is the most superior technology that has to be *** though big data and IoT could make human life more convenient,those benefits come at the expense of *** manage these kinds of threats,the intrusion detection system has been extensively applied to identify malicious network traffic,particularly once the preventive technique fails at the level of endpoint IoT *** cyberattacks targeting IoT have gradually become stealthy and more sophisticated,intrusion detection systems(IDS)must continually emerge to manage evolving security *** study devises Big Data Analytics with the Internet of Things Assisted Intrusion Detection using Modified Buffalo Optimization Algorithm with Deep Learning(IDMBOA-DL)*** the presented IDMBOA-DL model,the Hadoop MapReduce tool is exploited for managing big *** MBOA algorithm is applied to derive an optimal subset of features from picking an optimum set of feature ***,the sine cosine algorithm(SCA)with convolutional autoencoder(CAE)mechanism is utilized to recognize and classify the intrusions in the IoT network.A wide range of simulations was conducted to demonstrate the enhanced results of the IDMBOA-DL *** comparison outcomes emphasized the better performance of the IDMBOA-DL model over other approaches.

关键词： Big data analytics internet of things security intrusion detection deep learning

Roman Urdu News Headline Classification Empowered with Machine Learning

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Computers, Materials & Continua 2020年第11期65卷 1221-1236页

作者： Rizwan Ali Naqvi Muhammad Adnan Khan Nauman malik Shazia Saqib Tahir Alyas Dildar Hussain Department of Unmanned Vehicle Engineering Sejong UniversitySeoul05006Korea Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan School of Computational Sciences Korea Institute for Advanced StudySeoul02455Korea

Roman Urdu has been used for text messaging over the Internet for years especially in Indo-Pak *** from the subcontinent may speak the same Urdu language but they might be using different scripts for *** communication using the Roman characters,which are used in the script of Urdu language on social media,is now considered the most typical standard of communication in an Indian landmass that makes it an expensive information *** Text classification is a solved problem but there have been only a few efforts to examine the rich information supply of Roman Urdu in the *** is due to the numerous complexities involved in the processing of Roman Urdu *** complexities associated with Roman Urdu include the non-availability of the tagged corpus,lack of a set of rules,and lack of standardized spellings.A large amount of Roman Urdu news data is available on mainstream news websites and social media websites like Facebook,Twitter but meaningful information can only be extracted if data is in a structured *** have developed a Roman Urdu news headline classifier,which will help to classify news into relevant categories on which further analysis and modeling can be *** author of this research aims to develop the Roman Urdu news classifier,which will classify the news into five categories(health,business,technology,sports,international).First,we will develop the news dataset using scraping tools and then after preprocessing,we will compare the results of different machine learning algorithms like Logistic Regression(LR),Multinomial Naïve Bayes(MNB),Long short term memory(LSTM),and Convolutional Neural Network(CNN).After this,we will use a phonetic algorithm to control lexical variation and test news from different *** preliminary results suggest that a more accurate classification can be accomplished by monitoring noise inside data and by classifying the *** applying above mentioned different machine learnin

关键词： Roman urdu news headline classification long short term memory recurrent neural network logistic regression multinomial naïve Bayes random forest k neighbor gradient boosting classifier

Transmitter-Receiver Path Selection for Cell Range Extension Using Multi-Hop D2D

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Computers, Materials & Continua 2021年第8期68卷 2075-2093页

作者： Farah Akif Kiran Sultan Aqdas N.malik Ijaz M.Qureshi Saba Mahmood Department of Electrical Engineering International Islamic UniversityIslamabad44000Pakistan Department of CIT FASKing Abdulaziz UniversityJeddah21551Saudi Arabia Department of Electrical Engineering Air UniversityIslamabad44000Pakistan Department of Computer Science Bahria UniversityIslamabad44000Pakistan

Conventional approach of dealing with more users per coverage area in cellular networks implies densifying the amount of(Access Point)AP which will eventually result in a larger carbon *** this paper,we propose a base station off-loading and cell range extension(CRE)scheme based on multi-hop device-to-device(MHD2D)path selection between transmitter and receiver *** paper also provides derivations of upper and lower bounds for energy efficiency,capacity,and transmit *** proposed path selection scheme is inspired by the foraging behavior of honey *** present the algorithm as a modified variant of the artificial bee colony algorithm(MVABC).The proposed optimization problem is modeled as a minimization problem where we optimize the Energy Efficiency(EE).The proposed path selection MVABC is compared with the Genetic Algorithm(GA)and also with classical artificial bee colony(ABC)through simulations and statistical *** student’s t-test,p-value,and standard error of means(SEM)clearly show that MVABC based path selection out-performs the GA and classical ABC *** based approach is 66%more efficient when compared with classic ABC and about 62%efficient when compared with GA based scheme.

关键词： Multi-hop ultra-dense D2D path-selection ABC GA

A systematic study on the role of SentiWordNet in opinion mining

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Frontiers of Computer Science 2021年第4期15卷 165-183页

作者： Mujtaba HUSNAIN malik Muhammad Saad MISSEN Nadeem AKHTAR Mickael COUSTATY Shahzad MUMTAZ V.B.Surya PRASATH Department of IT Faculty of ComputingThe Islamia University of BahawalpurBahawalpur 63100Pakistan Laboratoire Informatique Image et Interaction(L3i)Facultés des Sciences et TechnologiesUniversity of La RochelleLa Rochelle 17000France Division of Biomedical Informatics Cincinnati Children’s Hospital Medical CenterCincinnati 45229USA Department of Pediatrics University of Cincinnati College of MedicineCincinnati 45229USA Department of Biomedical Informatics College of MedicineUniversity of CincinnatiCincinnati 45267USA Department of Electrical Engineering and Computer Science University of CincinnatiCincinnati 45221USA

Sentiment lexicons(SL)(aka lexical resources)are the repositories of one or several dictionaries that consist of known and precompiled sentiment *** lexicons play an important role in performing several different opinion mining *** efficacy of the lexicon-based approaches in performing opinion mining(OM)tasks solely depends on selecting an appropriate opinion lexicon to analyze the ***,one has to explore the available sentiment lexicons and then select the most suitable *** available resources,SentiWordNet(SWN)is the most widely used lexicon to perform tasks related to opinion *** SWN,each synset of WordNet is being assigned the three sentiment numerical scores;positive,negative and objective that are calculated using by a set of *** this paper,a detailed and comprehensive review of the work related to opinion mining using Senti-WordNet is provided in a very distinctive *** survey will be useful for the researchers contributing to the field of opinion *** features make our contribution worthwhile and unique among the reviews of similar kind:(i)our review classifies the existing literature with respect to opinion mining tasks and subtasks(ii)it covers a very different outlook of the opinion mining field by providing in-depth discussions of the existing works at different granularity levels(word,sentences,document,aspect,clause,and concept levels)(iii)this state-ofart review covers each article in the following dimensions:the designated task performed,granularity level of the task completed,results obtained,and feature dimensions,and(iv)lastly it concludes the summary of the related articles according to the granularity levels,publishing years,related tasks(or subtasks),and types of classifiers *** the end,major challenges and tasks related to lexicon-based approaches towards opinion mining are also discussed.

关键词： opinion mining lexical based resources Senti-WordNet opinion strength

Hyperspectral Remote Sensing Image Classification Using Improved Metaheuristic with Deep Learning

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Computer Systems Science & Engineering 2023年第8期46卷 1673-1688页

作者： S.Rajalakshmi S.Nalini Ahmed Alkhayyat Rami Q.malik Department of Information Technology Velalar College of Engineering and TechnologyErode638012India Department of Computer Science&Engineering University College of EngineeringBIT CampusAnna UniversityTiruchirappalli620024India College of Technical Engineering The Islamic UniversityNajafIraq Medical Instrumentation Techniques Engineering Department Al-Mustaqbal University CollegeBabylonIraq

Remote sensing image(RSI)classifier roles a vital play in earth observation technology utilizing Remote sensing(RS)data are extremely exploited from both military and civil *** recently,as novel DL approaches develop,techniques for RSI classifiers with DL have attained important breakthroughs,providing a new opportunity for the research and development of RSI *** study introduces an Improved Slime Mould Optimization with a graph convolutional network for the hyperspectral remote sensing image classification(ISMOGCN-HRSC)*** ISMOGCN-HRSC model majorly concentrates on identifying and classifying distinct kinds of *** the presented ISMOGCN-HRSC model,the synergic deep learning(SDL)model is exploited to produce feature *** GCN model is utilized for image classification purposes to identify the proper class labels of the *** ISMO algorithm is used to enhance the classification efficiency of the GCN method,which is derived by integrating chaotic concepts into the SMO *** experimental assessment of the ISMOGCN-HRSC method is tested using a benchmark dataset.

关键词： Deep learning remote sensing images image classification slime mould optimization parameter tuning

Comparison of intraocular pressure readings with Perkins,Tonopen,iCare 200,and iCare Home to manometry in cadaveric eyes

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International Journal of Ophthalmology(English edition) 2022年第12期15卷 2022-2027页

作者： Monica K Ertel Leonard K Seibold Jennifer L Patnaik malik Y Kahook Department of Ophthalmology University of ColoradoUC Health Sue Anschutz-Rodgers Eye CenterAuroraColorado 80045USA

AIM:To compare intraocular pressure(IOP)readings obtained with Perkins tonometry,i Care Home,i Care 200,and Tonopen to IOP readings obtained with the manometer of a perfusion system to assess the accuracy and reproducibility of each method of tonometry at set ***:The IOP of human cadaveric eyes(n=2)was measured using a manometer inserted into the eye through the optic *** measurements were obtained using a Perkins tonometer,i Care Home,i Care 200,and *** measurements were compared to set point IOP measurements of a manometer to determine accuracy and reproducibility of each ***:Mean IOP readings obtained with the Perkins tonometer compared to manometer readings demonstrated a difference of-1.0±5.0 mm Hg(P=0.45),indicating a lower reading on average than manometery although not *** IOP difference between iCare 200 and manometer was 5.3±2.2 mm Hg(P<0.0001).Mean difference in IOP between iCare Home and manometer was 3.5±2.4 mm Hg(P=0.0004).Mean IOP difference compared to manometer was 4.6±4.0 mm Hg for the Tonopen(P<0.0001).IOP measurements obtained with the Perkins tonometer demonstrated a standard deviation of 5.0 mm Hg while the Tonopen measurements demonstrated a 4.0 mm Hg standard *** comparison,iCare 200 and iCare Home demonstrated 2.2 and 2.4 mm Hg standard deviation,***:Applanation tonometry produces more accurate IOP readings than rebound tonometry or Tonopen,however it demonstrates greater variability than the other forms of *** tonometry is more reproducible but tends to over-estimate IOP.

关键词： intraocular pressure ocular tonometry manometry

An evaluation of OSOM BV blue test in the diagnosis of bacterial vaginosis

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Asian Pacific Journal of Tropical Medicine 2010年第7期3卷 574-576页

作者： Fatima Shujatullah Haris M Khan Razia Khatoon Tamkin Rabbani Abida malik Department of Microbiology Jawaharlal Nehru Medical CollegeAligarh Muslim UniversityAligarhIndia Department of Obstetrics and Gynecology Jawaharlal Nehru Medical CollegeAligarh Muslim UniversityAligarhIndia

Objective:To determine the prevalence of bacterial vaginosis(BV) in patients with vaginal discharge and evaluate the efficacy of OSOM BV blue test in ***:OSOM BV blue test,a rapid diagnostic test based on the principle of detection of bacterial sialidase activity in vaginal fluid specimens was conducted.A total of 405 patients in the reproductive age group(15- 45 years) having vaginal discharge were included in the study along with 10 healthy age-matched *** high vaginal swabs were collected aseptically from each *** swab was used to make smear for gram staining,and the other was for OSOM BV blue *** test and vaginal pH test were taken as ***:The prevalence of bacterial vaginosis was 60.7%. OSOM BV blue test showed good efficacy,as compared with gram staining in diagnosing *** sensitivity and specificity of OSOM BV blue test were 97.6%and 97.5%***’s criteria diagnosed 180(44.4%) cases of BV and had sensitivity and specificity of 67.1%and 90.6%*** the performance of OSOM BV blue was better than the methods based on Amsel’s ***:OSOM BV blue test is an efficacious bed side test,helpful in rapidly making an accurate diagnosis of BV in setups lacking laboratory facilities or expert microbiologists.

关键词： Bacterial vaginosis OSOM BV blue test Reproductive age Vaginal discharge

Adaptive Route Sink Relocation Using Cluster Head Chain Cycling Model in WSN

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Intelligent Automation & Soft Computing 2023年第5期36卷 1811-1826页

作者： M.Sudha P.Shanmugapriya Rami Q.malik Ahmed Alkhayyat Department of Electronics and Communication Engineering Paavai Engineering CollegeNamakkal637018India Department of Electronics and Communication Engineering Saranathan College of EngineeringTiruchirappalli620012India Department of Medical Instrumentation Techniques Engineering Al-Mustaqbal University CollegeHillah51001Iraq College of Technical Engineering The Islamic UniversityNajafIraq

Wireless Sensor Networks(WSN)have revolutionized the processes involved in industrial ***,the most important challenge faced by WSN sensors is the presence of limited *** research inves-tigations have been conducted so far on how to prolong the energy in *** phenomenon is a result of inability of the network to have battery powered-sensor ***-efﬁcient routing on packetﬂow is a parallel phenomenon to delay nature,whereas the primary energy gets wasted as a result of WSN *** holes are present in the vicinity of sink and it is an important efﬁcient-routing protocol for *** order to solve the issues discussed above,an energy-efﬁcient routing protocol is proposed in this study named as Adaptive Route Decision Sink Relocation Protocol using Cluster Head Chain Cycling approach(ARDSR-CHC2H).The proposed method aims at improved communica-tion at sink-inviting *** this point,Cluster Head Node(CHN)is selected,since it consumes low energy and permits one node to communicate with others in two *** main purpose of the proposed model is to reduce energy con-sumption and deﬁne new interchange technology.A comparison of simulation results demonstrates that the proposed algorithm achieved low cluster creation time,better network error and high Packet Delivery Rate with less network failure.

关键词： Cluster head energy-efﬁcient routing chain routing cycling approach sink relocation adaptive routing WSN