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Conversion of adverse data corpus to shrewd output using sampling metrics

Visual Computing for Industry,Biomedicine,and Art 2020年第1期3卷 202-214页

作者： Shahzad Ashraf Sehrish Saleem tauqeer ahmed Zeeshan Aslam Durr Muhammad College of Internet of Things Engineering Hohai UniversityChangzhouJiangsu 210032China Muhammad Nawaz Sharif University of Engineering&Technology Multan 66000Pakistan Petroweld Kurdistan Region Erbil 42002Iraq Pakistan Steel Mills Karachi Karachi 75200Pakistan

An imbalanced dataset is commonly found in at least one class,which are typically exceeded by the other ones.A machine learning algorithm(classifier)trained with an imbalanced dataset predicts the majority class(frequently occurring)more than the other minority classes(rarely occurring).Training with an imbalanced dataset poses challenges for classifiers;however,applying suitable techniques for reducing class imbalance issues can enhance classifiers’*** this study,we consider an imbalanced dataset from an educational ***,we examine all shortcomings regarding the classification of an imbalanced ***,we apply data-level algorithms for class balancing and compare the performance of *** performance of the classifiers is measured using the underlying information in their confusion matrices,such as accuracy,precision,recall,and F *** results show that classification with an imbalanced dataset may produce high accuracy but low precision and recall for the minority *** analysis confirms that undersampling and oversampling are effective for balancing datasets,but the latter dominates.

关键词： Classification Machine learning Spread subsampling Class imbalance

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Path planning for moving target tracking by fixed-wing UAV

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Defence Technology（防务技术） 2020年第4期16卷 811-824页

作者： Song-lin Liao Rong-ming Zhu Nai-qi Wu tauqeer ahmed Shaikh Mohamed Sharaf Almetwally M.Mostafa School of Electro-Mechanical Engineering Xidian UniversityXi'an 710071China Institute of Systems Engineering Macao University of Science and TechnologyTaipa999078Macao Electrical Engineering Department College of EngineeringKing Saud UniversityRiyadh 11421Saudi Arabia Industrial Engineering Department College of EngineeringKing Saud UniversityP.O.Box 800Riyadh 11421Saudi Arabia College of Computer and Information Sciences King Saud UniversityP.O.Box 800Riyadh 11421Saudi Arabia Faculty of Engineering Alazhar University CairoEgypt

For the automatic tracking of unknown moving targets on the ground,most of the commonly used methods involve circling above the *** such a tracking mode,there is a moving laser spot on the target,which will bring trouble for cooperative manned *** this paper,we propose a new way of tracking,where an unmanned aerial vehicle(UAV) circles on one side of the tracked target.A circular path algorithm is developed for monitoring the relative position between the UAV and the target considering the real-time range and the bearing *** can determine the center of the new circular path if the predicted range between the UAV and the target does not meet the monitoring requirements.A transition path algorithm is presented for planning the transition path between circular paths that constrain the turning radius of the *** transition path algorithm can generate waypoints that meet the flight *** this paper,we analyze the entire method and detail the scope of *** formulate an observation angle as an evaluation index.A series of simulations and evaluation index comparisons verify the effectiveness of the proposed algorithms.

关键词： Bearing angle Fixed-wing UAV Laser designation Moving target tracking Path planning

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Innovative Fungal Disease Diagnosis System Using Convolutional Neural Network

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Computers, Materials & Continua 2022年第12期73卷 4869-4883页

作者： Tahir Alyas Khalid Alissa Abdul Salam Mohammad Shazia Asif tauqeer Faiz Gulzar ahmed Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Networks and Communications Department College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of General Education Skyline University CollegeUniversity City of SharjahUAE Higher Colleges of Technology Abu DhabiUAE Department of Enterprise Computing Skyline University CollegeSharjahUAE Department of Computer Science University of South AsiaLahore54000Pakistan

Fungal disease affects more than a billion people worldwide,resulting in different types of fungus diseases facing life-threatening *** outer layer of your body is called the integumentary *** skin,hair,nails,and glands are all part of *** organs and tissues serve as your first line of defence against bacteria while protecting you from harm and the *** It serves as a barrier between the outside world and the regulated environment inside our bodies and a regulating ***,light,damage,and illness are all protected by ***-caused infections are found in almost every part of the natural *** an invasive fungus takes over a body region and overwhelms the immune system,it causes fungal infections in *** primary goal of this study was to create a Convolutional Neural Network(CNN)-based technique for detecting and classifying various types of fungal *** are numerous fungal illnesses,but only two have been identified and classified using the proposed Innovative Fungal Disease Diagnosis(IFDD)system of Candidiasis and Tinea *** paper aims to detect infected skin issues and provide treatment recommendations based on proposed system *** identify and categorize fungal infections,deep machine learning techniques are utilized.A CNN architecture was created,and it produced a promising outcome to improve the proposed system *** collected findings demonstrated that CNN might be used to identify and classify numerous species of fungal spores early and estimate all conceivable fungus *** CNN-Based can detect fungal diseases through medical images;earmarked IFDD system has a predictive performance of 99.6%accuracy.

关键词： Deep machine learning CNN ReLU skin disease fungal

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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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Dynamics of organic carbon and nitrogen in deep soil profile and crop yields under long-term fertilization in wheat-maize cropping system

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Journal of Integrative Agriculture 2022年第3期21卷 826-839页

作者： Muhammad QASWAR LI Dong-chu HUANG Jing HAN Tian-fu Waqas ahmed Sehrish ALI Muhammad Numan KHAN Zulqarnain Haider KHAN XU Yong-mei LI Qian ZHANG Hui-min WANG Bo-ren Ahmad tauqeer National Engineering Laboratory for Improving Quality of Arable Land/Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural SciencesBeijing 100081P.R.China Key Laboratory of Industrial Ecology and Environmental Engineering School of Environmental Science and TechnologyDalian University of TechnologyDalian 116024P.R.China National Observation Station of Qiyang Agri-Ecology System/Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural SciencesQiyang 426182P.R.China Guangdong Provincial Key Laboratory for Radionuclides Pollution Control and Resources School of Environmental Science and EngineeringGuangzhou UniversityGuangzhou 510006P.R.China Agro-Environmental Protection Institute Ministry of Agriculture and Rural AffairsTianjin 300191P.R.China Institute of Soil Fertilizer and Agricultural Water ConservationXinjiang Academy of Agricultural SciencesUrumqi 830091P.R.China College of Agriculture Henan University of Science and TechnologyLuoyang 471000P.R.China School of Chemical Engineering Dalian University of TechnologyDalian 116024P.R.China

Soil organic carbon(SOC)and nitrogen(N)are two of the most important indicators for agricultural *** primary objective of this study was to investigate the changes in SOC and N in the deep soil profile(up to 100 cm)and their relationships with crop productivity under the influence of long-term(since 1990)fertilization in the wheat-maize cropping *** included CK(control),NP(inorganic N and phosphorus(P)fertilizers),NPK(inorganic N,P and potassium fertilizers),NPKM(NPK plus manure),and M(manure).Crop yield and the properties of topsoil were measured yearly from 2001 to 2009.C and N contents were measured at five different depths in 2001 and *** results showed that wheat and maize yields decreased between 2001 and 2009 under the inorganic fertilizer(NP and NPK)*** average yield between 2001 and 2009 under the NP,NPK,NPKM,and M treatments(compared with the CK treatment)increased by 38,115,383,and 381%,respectively,for wheat and 348,891,2738,and 1845%,respectively,for *** long-term fertilization treatments significantly changed coarse free particulate(cf POC),fine free particulate(ff POC),intramicroaggregate particulate(i POC),and mineral-associated(m SOC)organic carbon *** the experimental years of 2001 and 2009,soil fractions occurred in the following order for all treatments:m SOC>cf POC>i POC>ff *** fractions were higher under the manure application treatments than under the inorganic fertilization *** to the inorganic fertilization treatments,manure input enhanced the stocks of SOC and total N in the surface layer(0–20 cm)but decreased SOC and N in the deep soil layer(80–100 cm).This reveals the efficiency of manure in increasing yield productivity and decreasing risk of vertical loss of nutrients,especially N,compared to inorganic fertilization *** findings provide opportunities for understanding deep soil C and N dynamics,which could help mitigate climate change impact o

关键词： carbon stock nitrogen stock carbon fraction soil profile organic amendments long-term experiment

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