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Analysis of series RL and RC circuits with time-invariant source using truncated M,Atangana beta and conformable derivatives

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Journal of Ocean Engineering and Science 2021年第3期6卷 217-227页

作者： Sania qureshi Mokhi Maan Chang Asif ali Shaikh Department of Basic Sciences and Related Studies Mehran University of Engineering and Technology Jamshoro76062SindhPakistan Department of Electrical Engineering Mehran University of Engineering and Technology Jamshoro76062SindhPakistan

Complex processes of the physical world require novel and sophisticated mathematical notions to get deep *** this research analysis,two standard mathematical models for the series RL and RC circuits having time-invariant sources taken from the discipline of electrical engineering have been investigated with the help of differential operators known with the name of truncated M-derivative,Atangana beta-derivative,and the conformable derivative *** exact solutions for these two models have been found in terms of the transcendental exponential function of time under the truncated M-derivative,Atangana beta-derivative,and the conformable derivative *** numerical simulations carried out via MATLAB”9.***.0.813654(R2018a)”have been interpreted to explore new behavior for solutions of the models not possible to obtain through standard classical calculus wherein one is restricted to have integer-order derivatives unlike the differential operators used in the present research *** models under consideration for the three differential operators have been investigated with varying parameters’values including the differential ordersαandβwhereupon the classical case is resumed forα=β=1 andτ=0.

关键词： Mittag-Leffler function M-integral Constant voltage Kirchoff’s laws Numerical simulations.

Population Variation and Food Habits of Ranid Frogs in the Rice-Based Cropping System in Gujranwala Region,Pakistan

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Asian Herpetological Research 2010年第2期1卷 123-130页

作者： Saima Yousaf Tariq Mahmood muhammad Rais Irfan Zia qureshi Department of Wildlife Management PMAS Arid Agriculture University Laboratory of Animal Physiology Department of Animal Sciences Quaid-I-Azam University

The current study aims to investigate the population variation and food habits of ranid frogs in the rice-based cropping system in District Gujranwala,*** population in the study area was estimated using capture,mark and release method whereas food habits of the species were studied by analysis of stomach *** results showed the highest average population was found during August 2009(93.10±18.64/ha) while the lowest from December 2008 to February *** seasonal populations existed in summer 2009,whereas winter 2008 sizes were at a *** content analysis of the species revealed percent frequency(% F) of occurrence of insects(80.3),earthworms(28.5),whole frogs(15.8),bone pieces(22.5),rodents(1.66),vegetation(5.0),soil particles(13.3) and some unidentified material(7.5) in all the stomach *** frequently consumed prey items were insects(30% by volume),although frogs also preyed upon conspecifics and *** recovered from the stomach contents were identified as belonging to Orthoptera,Lepidoptera,Coleoptera,Diptera,Odonata and Homoptera as well as the class *** recovered from the stomach contents were compared to those captured from the study area.

关键词： frog paddy field insect diet

Multi-Modality and Feature Fusion-Based COVID-19 Detection Through Long Short-Term Memory

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Computers, Materials & Continua 2022年第9期72卷 4357-4374页

作者： Noureen Fatima Rashid Jahangir Ghulam Mujtaba Adnan Akhunzada Zahid Hussain Shaikh Faiza qureshi Center of Excellence for Robotics Artificial Intelligenceand BlockchainDepartment of Computer ScienceSukkur IBA UniversitySukkurPakistan Department of Computer Science COMSATS University Islamabad–Vehari CampusPakistan Faculty of Computing and Informatics University Malaysia SabahKota Kinabalu88400Malaysia Department of Mathematics Sukkur IBA UniversitySukkurPakistan

The Coronavirus Disease 2019(COVID-19)pandemic poses the worldwide challenges surpassing the boundaries of country,religion,race,and *** current benchmark method for the detection of COVID-19 is the reverse transcription polymerase chain reaction(RT-PCR)***,this testing method is accurate enough for the diagnosis of ***,it is time-consuming,expensive,expert-dependent,and violates social *** this paper,this research proposed an effective multimodality-based and feature fusion-based(MMFF)COVID-19 detection technique through deep neural *** multi-modality,we have utilized the cough samples,breathe samples and sound samples of healthy as well as COVID-19 patients from publicly available COSWARA *** set of experimental analyses were performed to evaluate the performance of our proposed *** useful features were extracted from the aforementioned modalities that were then fed as an input to long short-term memory recurrent neural network algorithms for the classification *** set of experimental analyses were performed to evaluate the performance of our proposed *** experimental results showed that our proposed approach outperformed compared to four baseline approaches published *** believe that our proposed technique will assists potential users to diagnose the COVID-19 without the intervention of any expert in minimum amount of time.

关键词： Covid-19 detection long short-term memory feature fusion deep learning audio classification

Drought-Mediated Modulation in Metabolomic Profiling of Nigella Sativa Leaf, Growth, Ecophysiology and Antioxidants

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Phyton-International Journal of Experimental Botany 2023年第12期92卷 3323-3344页

作者： Khalid Rehman Hakeem Hesham F.Alharby M.Irfan qureshi Department of Biological Sciences Faculty of ScienceKing Abdulaziz UniversityJeddahSaudi Arabia Princess Dr.Najla Bint Saud Al-Saud Center for Excellence Research in Biotechnology King Abdulaziz UniversityJeddahSaudi Arabia Department of Public Health Daffodil International UniversityDhakaBangladesh Department of Biotechnology Jamia Millia IslamiaNew DelhiIndia

Abiotic stresses,including drought,have been found to affect the growth and medicinal quality of numerous *** proposed study aims to study the effects of different drought regimes on the metabolic profile,growth,ecophysiology,cellular antioxidants,and antioxidant potential of Nigella sativa(Black cumin)***-day-old seedlings of *** were exposed to three regimes of drought(control,moderate and high)for a ***/MS metabolic profile of the leaf reveals the presence of more than a hundred metabolites belonging to anthocyanins,chalcones,dihydro flavonoids,flavonoids,flavanols,flavones,flavonoid carbonoside,isoflavones,*** was found to alter the contents of identified *** stress-induced oxidative stress and increased production of hydrogen peroxide and superoxide *** changes,activities of antioxidant enzymes,contents of antioxidants,and proline were significantly high under drought to protect against the low water ***,stressed leaf extract had higher antioxidant ***,*** leaf bears multiple metabolic pathways and can tolerate a higher degree of drought or osmotic stress.

关键词： Nigella sativa metabolomics drought antioxidant mechanism flavonoids

Proper Teleparallel Homothetic Vector Fields in General Cylindrically Symmetric Space-Times in Teleparallel Theory of Gravitation Using Diagonal Tetrads

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Communications in Theoretical Physics 2017年第11期67卷 611-616页

作者： Ghulam Shabbir Masoom ali Shahani M.Amer qureshi F.M.Mahomed Faculty of Engineering Sciences GIK Institute of Engineering Sciences and Technology School of Mathematics University of the Witwatersrand

In this paper we consider the most general form of non-static cylindrically symmetric space-times in order to study proper teleparallel homothetic vector fields using the direct integration technique and diagonal tetrads. This study also covers static cylindrically symmetric, Bianchi type I, non-static and static plane symmetric space-times as well. Here, we will only discuss the cases which do not fall in the category of static cylindrically symmetric, Bianchi type Ⅰ, non-static and static plane symmetric space-times. From the above study we show that very special classes of the above space-times yield 6, 7 and 8 teleparallel homothetic vector fields with non-zero torsion.

关键词： proper teleparallel homothetic vector field Weitzenbck geometry Torsion

Exploration of IoT Nodes Communication Using LoRaWAN in Forest Environment

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Computers, Materials & Continua 2022年第6期71卷 6239-6256页

作者： Anshul Sharma Divneet Singh Kapoor Anand Nayyar Basit qureshi Kiran Jot Singh Khushal Thakur Embedded Systems&Robotics Research Group Chandigarh UniversityMohali140413PunjabIndia Graduate School Duy Tan UniversityDa Nang550000Vietnam Faculty of Information Technology Duy Tan UniversityDa Nang550000Vietnam Department of Computer Science Prince Sultan UniversityRiyadh11586Saudi Arabia

The simultaneous advances in the Internet of Things(IoT),Artificial intelligence(AI)and Robotics is going to revolutionize our world in the near *** recent years,LoRa(Long Range)wireless powered by LoRaWAN(LoRa Wide Area Network)protocol has attracted the attention of researchers for numerous applications in the IoT *** is a low power,unlicensed Industrial,Scientific,and Medical(ISM)bandequipped wireless technology that utilizes a wide area network protocol,i.e.,LoRaWAN,to incorporate itself into the network *** this paper,we have evaluated the LoRaWAN communication protocol for the implementation of the IoT(Internet of Things)nodes’communication in a forest *** outdoor performance of LoRa wireless in LoRaWAN,i.e.,the physical layer,has been evaluated in the forest area of Kashirampur Uttarakhand,***,the present paper aims towards analyzing the performance level of the LoRaWAN technology by observing the changes in Signal to Noise Ratio(SNR),Packet Reception Ratio(PRR)and Received Signal Strength Indicator(RSSI),with respect to the distance between IoT *** article focuses on estimating network lifetime for a specific set of LoRa configuration parameters,hardware selection and power *** the experimental results,it has been observed that transmissions can propagate to a distance of 300 m in the forest environment,while consuming approx.63%less energy for spreading factor 7 at 2 dBm,without incurring significant packet loss with PRR greater than 80%.

关键词： LoRa LoRaWAN IoT communication protocol wireless sensor networks packet reception ratio

Big Data Analytics Using Swarm-Based Long Short-Term Memory for Temperature Forecasting

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Computers, Materials & Continua 2022年第5期71卷 2347-2361页

作者： Malini M.Patil P.M.Rekha Arun Solanki Anand Nayyar Basit qureshi JSS Academy of Technical Education Bengaluru560060India Gautam Buddha University Greater Noida201312India Graduate School Duy Tan UniversityDa Nang550000Vietnam Faculty of Information Technology Duy Tan UniversityDa Nang550000Vietnam College of Computer&Info Sc Prince Sultan UniversitySaudi Arabia

In the past few decades,climatic changes led by environmental pollution,the emittance of greenhouse gases,and the emergence of brown energy utilization have led to global *** warming increases the Earth’s temperature,thereby causing severe effects on human and environmental conditions and threatening the livelihoods of millions of *** warming issues are the increase in global temperatures that lead to heat strokes and high-temperature-related diseases during the summer,causing the untimely death of thousands of *** forecast weather conditions,researchers have utilized machine learning algorithms,such as autoregressive integrated moving average,ensemble learning,and long short-term memory *** techniques have been widely used for the prediction of *** this paper,we present a swarm-based approach called Cauchy particle swarm optimization(CPSO)to find the hyperparameters of the long shortterm memory(LSTM)*** hyperparameters were determined by minimizing the LSTM validationmean square error *** optimized hyperparameters of the LSTM were used to forecast the temperature of Chennai *** proposed CPSO-LSTM model was tested on the openly available 25-year Chennai temperature *** experimental evaluation on MATLABR2020a analyzed the root mean square error rate and mean absolute error to evaluate the forecasted *** proposed CPSO-LSTM outperforms the traditional LSTM algorithm by reducing its computational time to 25 min under 200 epochs and 150 hidden neurons during *** proposed hyperparameter-based LSTM can predict the temperature accurately by having a root mean square error(RMSE)value of 0.250 compared with the traditional LSTM of 0.35 RMSE.

关键词： Climatic change big data temperature forecasting swarm intelligence deep learning

Experimental studies and artificial neural network modeling of surface tension of aqueous sodium L-prolinate solutions and piperazine blends

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Chinese Journal of Chemical Engineering 2019年第8期27卷 1904-1911页

作者： muhammad Shuaib Shaikh A.M.Shariff M.A.Bustam Sahil Garg Khadija qureshi Pervez Hameed Shaikh Inamullah Bhatti Department of Chemical Engineering Mehran University of Engineering&Technology JamshoroSindh 76062Pakistan CO2 Research Centre(CO2RES) Universiti Teknologi PETRONASBandar Seri Iskandar 32610PerakMalaysia School of Chemical Engineering The University of QueenslandSt Lucia 4072Australia Office of Research Innovation and Commercialization(ORIC) Mehran University of Engineering&Technology JamshoroSindh 76062Pakistan

The surface tension study is very crucial for the design of CO2 gas absorption contacting equipment. The significance of the surface tension has been increasing due to its consideration in various technological fields. This property influences the mass transfer and hydrodynamics of gas absorption systems, mainly multiphase systems, in which the interface between gas and liquid exists. Therefore, in this study, surface tension of aqueous solutions of sodium L-prolinate(SP) and piperazine(PZ) blends were measured at ten different temperatures from(298.15 to 343.15) K. The SP mass fractions were 0.10, 0.20, and 0.30;while the mass fractions of PZ were 0.02 and 0.05. The experimental results showed that the surface tension increase with increasing the mass fractions of SP and PZ in aqueous blends, and decrease linearly with rising temperature. The experimental data of surface tension were correlated by two empirical correlations as a function of temperature and mass fractions for estimating the predicted data using the optimized correlation coefficients. Moreover, the modeling of surface tension data was carried out using Artificial Neural Network(ANN) approach. The results obtianed from ANN modeling were compared with applied empirical correlation. It was found that the ANN approach outperformed the empirical correlation used in this study. Besides, a quantitative analysis of variation(ANOVA) was performed in order to determine the significance of data. The surface tension of aqueous SP and SP + PZ was also compared with various conventional solvents.

关键词： Surface tension L-Prolinate Piperazine Correlation Prediction Neural network

Botanicals, selective insecticides, and predators to control Diaphorina citri （Hemiptera： Liviidae） in citrus orchards

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Insect Science 2014年第6期21卷 717-726页

作者： Azhar A. Khan muhammad Afzal Jawwad A. qureshi Arif M. Khan Abubakar M. Raza Department of Agricultural Entomology University of Sargodha Sargodha Pakistan Department of Entomology & Nematology Southwest Florida Research and Education Center Institute of Food and Agricultural Sciences University of Florida Immokalee Florida USA Department of Biotechnology University of Sargodha Sargodha Pakistan

The Asian citrus psyllid （ACP） Diaphorina citri Kuwayama vectors pathogens that cause huanglongbing （HLB） or citrus greening devastating and economically im- portant disease present in most citrus growing regions. Young citrus shoots are required for psyllid reproduction and development. During winter citrus trees produce little or no new growth. Overwintering adults reproduce in spring on newly emerging shoots also attractive to other pests and beneficial insects. Botanicals and relatively selective insecti- cides could help to conserve beneficial insects and reduce pest resistance to insecticides. Sprays of Azadirachtin （Neem）, Tropane （Datura）, Spirotetramat, Spinetoram, and broad- spectrum Imidacloprid were evaluated to control ACP in spring and summer on 10-year-old ＂Kinow＂ Citrus reticulata Blanco trees producing new growth. Psyllid populations were high averaging 5-9 nymphs or adults per sample before treatment application. Nymphs or adults were significantly reduced to 0.5-1.5 per sample in all treatments for 3 weeks, aver- age 61%-83% reduction. No significant reduction in ladybeetles Adalia bipunctata, Ane- glei scardoni, Cheilomenes sexmaculata, and Coccinella septempunctata was observed. Syrphids, spiders and green lacewings were reduced in treated trees except with Tropane. Studies are warranted to assess impact of these predators on ACP and interaction with insecticides. Observed reduction in ACP populations may not be enough considering its reproductive potential and role in the spread of HLB. Follow-up sprays may be required to achieve additional suppression using rotations of different insecticides.

关键词： Asian citrus psyllid biopesticides Coccinellids huanglongbing predators