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Joint Channel and Multi-User Detection Empowered with Machine Learning

Computers, Materials & Continua 2022年第1期70卷 109-121页

作者： Mohammad Sh.Daoud Areej Fatima Waseem Ahmad Khan muhammad adnan Khan Sagheer Abbas Baha Ihnaini Munir Ahmad muhammad Sheraz Javeid Shabib Aftab College of Engineering Al Ain UniversityAbu Dhabi112612UAE Department of Computer Science Lahore Garrison UniversityLahore54792Pakistan School of Computer Science National College of Business Administration and EconomicsLahore54000Pakistan Riphah School of Computing and Innovation Faculty of ComputingRiphah International UniversityLahore54000Pakistan Pattern Recognition and Machine Learning Lab Department of Software EngineeringGachon UniversitySeongnam13557South Korea Department of Computer Science College of Science and TechnologyWenzhou Kean University325060USA Department of Computer Science Hameeda Rasheed Institute of Science and TechnologyMultan66000Pakistan

The numbers of multimedia applications and their users increase with each passing *** multi-carrier systems have been developed along with varying techniques of space-time coding to address the demand of the future generation of network *** this article,a fuzzy logic empowered adaptive backpropagation neural network(FLeABPNN)algorithm is proposed for joint channel and multi-user detection(CMD).FLeABPNN has two *** first stage estimates the channel parameters,and the second performsmulti-user *** proposed approach capitalizes on a neuro-fuzzy hybrid systemthat combines the competencies of both fuzzy logic and neural *** study analyzes the results of using FLeABPNN based on a multiple-input andmultiple-output(MIMO)receiver with conventional partial oppositemutant particle swarmoptimization(POMPSO),total-OMPSO(TOMPSO),fuzzy logic empowered POMPSO(FL-POMPSO),and FL-TOMPSO-based MIMO *** FLeABPNN-based receiver renders better results than other techniques in terms of minimum mean square error,minimum mean channel error,and bit error rate.

关键词： Channel and multi-user detection minimum mean square error multiple-input and multiple-output minimum mean channel error bit error rate

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Convolutional Neural Network Based Intelligent Handwritten Document Recognition

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Computers, Materials & Continua 2022年第3期70卷 4563-4581页

作者： Sagheer Abbas Yousef Alhwaiti Areej Fatima muhammad A.Khan muhammad adnan Khan Taher M.Ghazal Asma Kanwal Munir Ahmad Nouh Sabri Elmitwally School of Computer Science National College of Business administration and EconomicsLahore54000Pakistan College of Computer and Information Sciences Jouf UniversitySakaka72341Saudi Arabia Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Pattern Recognition and Machine Learning Lab Department of SoftwareGachon UniversitySeongnam13557Korea Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebangsaan Malaysia(UKM)Bangi 43600SelangorMalaysia School of Information Technology Skyline University CollegeUniversity City Sharjah1797SharjahUAE Department of Computer Science GC UniversityLahorePakistan Department of Computer Science Faculty of Computers and Artificial IntelligenceCairo University12613Egypt

This paper presents a handwritten document recognition system based on the convolutional neural network *** today’s world,handwritten document recognition is rapidly attaining the attention of researchers due to its promising behavior as assisting technology for visually impaired *** technology is also helpful for the automatic data entry *** the proposed systemprepared a dataset of English language handwritten character *** proposed system has been trained for the large set of sample data and tested on the sample images of user-defined handwritten *** this research,multiple experiments get very worthy recognition *** proposed systemwill first performimage pre-processing stages to prepare data for training using a convolutional neural *** this processing,the input document is segmented using line,word and character *** proposed system get the accuracy during the character segmentation up to 86%.Then these segmented characters are sent to a convolutional neural network for their *** recognition and segmentation technique proposed in this paper is providing the most acceptable accurate results on a given *** proposed work approaches to the accuracy of the result during convolutional neural network training up to 93%,and for validation that accuracy slightly decreases with 90.42%.

关键词： Convolutional neural network segmentation skew cursive characters recognition

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Anthropological analyses of 30 insertion/deletion autosomal markers in five major ethnic groups of Pakistan

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Forensic Sciences Research 2022年第2期7卷 202-206页

作者： muhammad adnan Shan Julie Mechlenborg Rebecca Roen Claus Bosting Niels Morling Section of Forensic Genetics Department of Forensic MedicineFaculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark Centre for Applied Molecular Biology(CA MB) University of the PunjabLahorePakistan

We investigated the forensic efficacy of the 30 insertion/deletion(Indel)markers included in the Qiagen Investigator■DIPplex kit in 529 Pakistani individuals from five major subpopulations in Pakistan(Punjabi,Pashtun,Sindhi,Saraiki,and Baloch).In the Sindhi population,the distribution of HLD81 and HLD97 alleles deviated from Hardy-Weinberg equilibrium after Bonferroni *** combined match probability ranged from 2.0E-12(Pashtun and Baloch)to 1.0E-12(Sindhi),and the mean paternity exclusion power varied from 0.995(Punjabi,Sindhi,and Saraiki)to 0.996(Pashtun and Baloch).The high combined power of discrimination(0.99999999999997)and low combined match probability(1.7E-12)for all subpopulations studied support the utility of the 30 Indel markers for forensic identification in the studied *** allele frequencies of the Indel markers in the Pakistani subpopulations were compared with those from 18 other *** results show that the populations clustered according to *** subpopulations investigated in this work showed a close genetic relationship with others from Pakistan,as well as with South Central Asian and Middle Eastern *** results suggest that the Investigator■DIPplex kit can be useful as a supplementary tool for human identification in the five Pakistani subpopulations investigated in this study.

关键词： Forensic sciences forensic genetics Qiagen investigator■DIPplex kit anthropology population genetics individual identification

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Content Based Automated File Organization Using Machine Learning Approaches

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Computers, Materials & Continua 2022年第10期73卷 1927-1942页

作者： Syed Ali Raza Sagheer Abbas Taher M.Ghazal muhammad adnan Khan Munir Ahmad Hussam Al Hamadi School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Computer Science GC University LahorePakistan Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebangsaan MalaysiaBangiSelangorMalaysia School of Information Technology Skyline University CollegeUniversity City SharjahSharjah1797UAE Riphah School of Computing&Innovation Faculty of ComputingRiphah International University Lahore CampusLahore54000Pakistan Department of Software Pattern Recognition and Machine Learning LabGachon UniversitySeongnam13120GyeonggidoKorea Cyber-Physical Systems Khalifa UniversityAbu Dhabi127788UAE

In the world of big data,it’s quite a task to organize different files based on their *** with heterogeneous data and keeping a record of every single file stored in any folder is one of the biggest problems encountered by almost every computer *** of file management related tasks will be solved if the files on any operating system are somehow categorized according to their ***,the browsing process can be performed quickly and *** research aims to design a system to automatically organize files based on their similarities in terms of *** proposed methodology is based on a novel strategy that employs the charactaristics of both supervised and unsupervised machine learning approaches for learning categories of digital files stored on any computer *** results demonstrate that the proposed architecture can effectively and efficiently address the file organization challenges using real-world user *** results suggest that the proposed system has great potential to automatically categorize almost all of the user files based on their *** proposed system is completely automated and does not require any human effort in managing the files and the task of file organization become more efficient as the number of files grows.

关键词： File organization natural language processing machine learning

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Early Detection of Autism in Children Using Transfer Learning

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Intelligent Automation & Soft Computing 2023年第4期36卷 11-22页

作者： Taher M.Ghazal Sundus Munir Sagheer Abbas Atifa Athar Hamza Alrababah muhammad adnan Khan School of Information Technology Skyline University CollegeSharjah1797UAE Network and Communication Technology Lab Center for Cyber SecurityFaculty of Information Science and Technology Universiti Kebangsaan Malaysia43600Malaysia School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Lahore Garrison University Lahore54000Pakistan Department of Computer Science COMSATS University Islamabad–Lahore CampusLahore54000Pakistan Department of Software Pattern Recognition and Machine Learning LabGachon UniversitySeongnamGyeonggido13120Korea

Autism spectrum disorder(ASD)is a challenging and complex neurodevelopment syndrome that affects the child’s language,speech,social skills,communication skills,and logical thinking *** early detection of ASD is essential for delivering effective,timely *** facial features such as a lack of eye contact,showing uncommon hand or body movements,bab-bling or talking in an unusual tone,and not using common gestures could be used to detect and classify ASD at an early *** study aimed to develop a deep transfer learning model to facilitate the early detection of ASD based on facial fea-tures.A dataset of facial images of autistic and non-autistic children was collected from the Kaggle data repository and was used to develop the transfer learning AlexNet(ASDDTLA)*** model achieved a detection accuracy of 87.7%and performed better than other established ASD detection ***,this model could facilitate the early detection of ASD in clinical practice.

关键词： Autism spectrum disorder convolutional neural network loss rate transfer learning AlexNet deep learning

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A Hierarchal Clustered Based Proactive Caching in NDN-Based Vehicular Network

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Computer Systems Science & Engineering 2023年第10期47卷 1185-1208页

作者： muhammad Yasir Khan muhammad adnan Jawaid Iqbal Noor ul Amin Byeong-Hee Roh Jehad Ali Department of Computer Science&Information Technology Hazara University Mansehra21120Pakistan Department of Electronics Engineering Kookmin University Seoul Korea Faculty of Computing Riphah International University Islamabad Pakistan Department of AI Convergence Network Ajou UniversitySuwon16499Korea

An Information-Centric Network(ICN)provides a promising paradigm for the upcoming internet architecture,which will struggle with steady growth in data and changes in *** ICN architectures have been designed,including Named Data Networking(NDN),which is designed around content delivery instead of *** data is the central part of the ***,NDN was developed to get rid of the dependency on IP addresses and provide content *** is one of the major research dimensions for this upcoming internet *** research has been carried out to solve the mobility issues,but it still has problems like handover delay and packet loss ratio during real-time video streaming in the case of consumer and producer *** solve this issue,an efficient hierarchical Cluster Base Proactive Caching for Device Mobility Management(CB-PC-DMM)in NDN Vehicular Networks(NDN-VN)is proposed,through which the consumer receives the contents proactively after handover during the mobility of the *** a consumer moves to the next destination,a handover interest is sent to the connected router,then the router multicasts the consumer’s desired data packet to the next hop of neighboring ***,once the handover process is completed,consumers can easily get the content to the newly connected router.A CB-PCDMM in NDN-VN is proposed that improves the packet delivery ratio and reduces the handover delay aswell as cluster ***,the intra and inter-domain handover handling procedures in CB-PC-DMM for NDN-VN have been *** the validation of our proposed scheme,MATLAB simulations are *** simulation results show that our proposed scheme reduces the handover delay and increases the consumer’s interest satisfaction *** proposed scheme is compared with the existing stateof-the-art schemes,and the total percentage of handover delays is decreased by up to 0.1632%,0.3267%,2.3437%,2.3255%,and 3.7313%at the mobil

关键词： Vehicular network named data networking caching hierarchical architecture

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Support-Vector-Machine-based Adaptive Scheduling in Mode 4 Communication

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Computers, Materials & Continua 2022年第11期73卷 3319-3331页

作者： muhammad adnan Khan Ahmed Abu-Khadrah Shahan Yamin Siddiqui Taher M.Ghazal Tauqeer Faiz Munir Ahmad Sang-Woong Lee Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Pattern Recognition and Machine Learning Lab Department of SoftwareGachon UniversitySeongnam13557Korea College of Computing&Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia School of Computer Science Minhaj University LahoreLahore54000Pakistan Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebangsaan Malaysia(UKM)43600BangiSelangorMalaysia School of Information Technology Skyline University CollegeUniversity City Sharjah1797SharjahUAE School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan

Vehicular ad-hoc networks(VANETs)are mobile networks that use and transfer data with vehicles as the network ***,VANETs are essentially mobile ad-hoc networks(MANETs).They allow all the nodes to communicate and connect with one *** of the main requirements in a VANET is to provide self-decision capability to the *** memory,which stores all the previous routes,is used by the vehicles to choose the optimal *** networks,communication is *** cellular-based vehicle-to-everything(CV2X)communication,vital information is shared using the cooperative awareness message(CAM)that is broadcast by each *** are allocated in a distributed manner,which is known as Mode 4 *** support vector machine(SVM)algorithm is used in the SVM-CV2X-M4 system proposed in this *** k-fold model with different values of k is used to evaluate the accuracy of the SVM-CV2XM4 *** results show that the proposed system achieves an accuracy of 99.6%.Thus,the proposed system allows vehicles to choose the optimal route and is highly convenient for users.

关键词： Mode-4 communication ad-hoc vehicular network CV2X support vector machine

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Effect of thermomechanical cyclic quenching and tempering treatments on microstructure,mechanical and electrochemical properties of AISI 1345 steel

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International Journal of Minerals,Metallurgy and Materials 2021年第4期28卷 688-698页

作者： muhammad Arslan Hafeez Ameeq Farooq Kaab Bin Tayyab and muhammad adnan Arshad School of Civil and Environmental Engineering National University of Sciences and TechnologyIslamabad 44000Pakistan Department of Metallurgy&Materials Engineering University of the Punjab54590 LahorePakistan

Thermomechanical cyclic quenching and tempering(TMCT)can strengthen steels through a grain size reduction *** effect of TMCT on microstructure,mechanical,and electrochemical properties of AISI 1345 steel was *** samples heated to 1050℃,rolled,quenched to room temperature,and subjected to various cyclic quenching and tempering heat treatments were named TMCT-1,TMCT-2,and TMCT-3 samples,*** analysis revealed that microstructures of all the treated samples contained packets and blocks of well-refined lath-shaped martensite and retained austenite phases with varying grain sizes(2.8–7.9μm).Among all the tested samples,TMCT-3 sample offered an optimum combination of properties by showing an improvement of 40%in tensile strength and reduced 34%elongation compared with the non-treated *** results were in good agreement with mechanical tests as the TMCT-3 sample exhibited a 51%improvement in indentation hardness with almost identical reduced elastic modulus compared with the non-treated *** electrochemical properties were analyzed in 0.1 M NaHCO_(3) solution by potentiodynamic polarization and electrochemical impedance *** a result of TMCT,the minimum corrosion rate was 0.272 mm/a,which was twenty times less than that of the nontreated *** impedance results showed the barrier film mechanism,which was confirmed by the polarization results as the current density decreased.

关键词： thermomechanical treatment cyclic heat-treatment nanoindentation potentiodynamic polarization electrochemical impedance spectroscopy

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Magneto-Orientated Graphite Double-Layer Homo-Structure with Broadband Microwave Absorption

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Chinese Physics Letters 2023年第11期40卷 149-154页

作者：王俊松丁伟张成宏邱康高佑琳陈棉科 muhammad adnan Aslam Mahmoud AKhalifa 罗家亮方军盛志高 High Magnetic Field Laboratory Hefei Institutes of Physical ScienceChinese Academy of SciencesHefei 230031China University of Science and Technology of China Hefei 230026China Institutes of Physical Science and Information Technology Anhui UniversityHefei 230601China Institute of Solid State Physics Chinese Academy of SciencesHefei 230031China

We utilized magnetic fields as an efficient tool to manipulate the orientation and electromagnetic properties of graphite micro-flakes(GMFs).As a result,we successfully developed a GMF double-layer homo-structure,which shows excellent electromagnetic absorption *** tuning the direction of a small magnetic field(850 G),vertical and horizontal aligned GMFs are *** electromagnetic parameters are effectively tailored by this magneto-orientation effect,and the vertical and horizontal aligned GMFs achieve good results in terms of impedance matching and microwave *** the combination of these two magneto-orientated layers,vertically oriented as the surficial impedance matching layer and horizontally oriented as the inner loss layer,we design a GMF-based double-layer *** thickness optimization,-38.2 d B minimum reflection loss and 6.4 GHz(11.6–18.0 GHz)absorption bandwidth are *** findings further emphasize the importance of material orientation freedom and provide a magneto-strategy to design multiple-layer structures and to produce high-performance microwave devices.

关键词： microwave matching absorption

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Mycorrhiza and Phosphate Solubilizing Bacteria:Potential Bioagents for Sustainable Phosphorus Management in Agriculture

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Phyton-International Journal of Experimental Botany 2022年第2期91卷 257-278页

作者： Fazli Wahid muhammad Sharif Shah Fahad Amjad Ali muhammad adnan Rafiullah Shah Saud Subhan Danish muhammad Arif Ali Niaz Ahmed Hüseyin Arslan Doğan Arslan Murat Erman Ayman EL Sabagh Fatemeh Gholizadeh Rahul Datta Department of Agriculture University of SwabiSwabi23561Pakistan Department of Soil and Environmental Sciences The University of AgriculturePeshawar25130Pakistan Department of Agronomy The University of HaripurHaripur22620Pakistan School of Environmental and Municipal Engineering Xi’an University of Architecture and TechnologyXi’an710055China Department of Horticulture Northeast Agricultural UniversityHarbin150030China Department of Soil Science Faculty of Agricultural Sciences and TechnologyBahauddin Zakariya UniversityMultan60800Pakistan Department of Field Crops Faculty of AgricultureHarranÜniversityOsmanbey CampusŞanliurfa63050Turkey Department of Field Crops Faculty of AgricultureSiirt UniversitySiirt56100Turkey Department of Agronomy Faculty of AgricultureKafrelsheikh UniversityKafrelsheikh33156Egypt Department of Plant Production and Genetics Faculty of AgricultureUniversity of KurdistanSanandaj66177-15175Iran Department of Geology and Pedology Faculty of Forestry and Wood TechnologyMendel University in BrnoBrno61300Czech Republic

Phosphorus(P)is a critical nutrient that plays an essential role in improving soil fertility for optimum plant growth and *** is one of the most deficient macro-nutrients in agricultural soils after nitrogen and is considered inadequate for plant growth and *** P availability in soils,the farmers are applying huge amounts of synthetic P fertilizers that adversely affect the wider environment,groundwater,soil fertility and microbial *** beneficial microbes are known to release and supply soluble P for improving growth and yield of a variety of plants in a sustainable manner in P deficient ***,inoculation of these microbes,including arbuscular mycorrhizal fungi(AMF)and phosphate solubilizing bacteria(PSB)to soil to enhance crop production without harming the environment,is an alternative approach to chemical *** combined role of AMF and PSB in P solubilization is not well understood and the application and mode of action of these microbial groups are often naive due to variation in the ***,the current review article would develop a better understanding of the interactive role and mechanisms of AMF and PSB in improving P availability from both organic and inorganic sources in a sustainable crop production ***,the current review would loop out further avenues for researchers interested to commercially produce effective AMF and PSB-based biofertilizers for sustainable management of phosphorus over a wide range of agricultural crops worldwide.

关键词： Beneficial microbes soil inoculation phosphorus mineralization crop production

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