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Deep Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Control Using 3D Hand Gestures

Computers, materials & Continua 2022年第9期72卷 5741-5759页

作者： Fawad Salam Khan mohd Norzali Haji mohd Saiful Azrin B.m.Zulkifli ghulam E mustafa Abro Suhail Kazi Dur muhammad Soomro Faculty of Electrical and Electronics(FKEE) Universiti Tun Hussein Onn MalaysiaParit Raja81756Malaysia Department of Electrical&Electronic Engineering Universiti Teknologi PETRONASSeri Iskandar32610Malaysia Faculty of Engineering Science and Technology Isra UniversityHyderabad71000Pakistan Department of Innovation CONVSYS(Pvt)Ltd.44000IslamabadPakistan

The evident change in the design of the autopilot system produced massive help for the aviation industry and it required frequent *** learning delivers appropriate outcomes when considering a continuous environment where the controlling Unmanned Aerial Vehicle(UAV)required maximum *** this paper,we designed a hybrid framework,which is based on Reinforcement Learning and Deep Learning where the traditional electronic flight controller is replaced by using 3D hand *** algorithm is designed to take the input from 3D hand gestures and integrate with the Deep Deterministic Policy Gradient(DDPG)to receive the best reward and take actions according to 3D hand gestures *** UAV consist of a Jetson Nano embedded testbed,Global Positioning System(GPS)sensor module,and Intel depth *** collision avoidance system based on the polar mask segmentation technique detects the obstacles and decides the best path according to the designed reward *** analysis of the results has been observed providing best accuracy and computational time using novel design framework when compared with traditional Proportional Integral Derivatives(PID)flight *** are six reward functions estimated for 2500,5000,7500,and 10000 episodes of training,which have been normalized between 0 to−*** best observation has been captured on 2500 episodes where the rewards are calculated for maximum *** achieved training accuracy of polar mask segmentation for collision avoidance is 86.36%.

关键词： Deep reinforcement learning UAV 3D hand gestures obstacle detection polar mask

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A UNIFIED THREE POINT APPROXImATING SUBDIVISION SCHEmE

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Analysis in Theory and Applications 2011年第1期27卷 10-20页

作者： Ghulam.mustafa Faheem Khan muhammad Sadia Hashmi muhammad Zeshan Afzal The Islamia University of Bahawalpur

In this paper, we propose a three point approximating subdivision scheme, with three shape parameters, that unifies three different existing three point approximating schemes. Some sufficient conditions for subdivision curve C0 to C3 continuity and convergence of the scheme for generating tensor product surfaces for certain ranges of parameters by using Laurent polynomial method are discussed. The systems of curve and surface design based on our scheme have been developed successfully in garment CAD especially for clothes modelling.

关键词： approximating subdivision scheme shape parameters Laurent polynomial

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A Novel Auto-Annotation Technique for Aspect Level Sentiment Analysis

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Computers, materials & Continua 2022年第3期70卷 4987-5004页

作者： muhammad Aasim Qureshi muhammad Asif mohd Fadzil Hassan Ghulam.mustafa muhammad Khurram Ehsan Aasim Ali Unaza Sajid Department of Computer Sciences Bahria UniversityLahore Campus54000Pakistan Computer and Information Science Department University TeknologiPetronas32610Malaysia

In machine learning,sentiment analysis is a technique to find and analyze the sentiments hidden in the *** sentiment analysis,annotated data is a basic ***,this data is manually *** annotation is time consuming,costly and laborious *** overcome these resource constraints this research has proposed a fully automated annotation technique for aspect level sentiment *** is created from the reviews of ten most popular songs on *** of five aspects—voice,video,music,lyrics and song,are *** N-Gram based technique is *** dataset consists of 369436 reviews that took 173.53 s to annotate using the proposed technique while this dataset might have taken approximately 2.07 million seconds(575 h)if it was annotated *** the validation of the proposed technique,a sub-dataset—Voice,is annotated manually as well as with the proposed ***’s Kappa statistics is used to evaluate the degree of agreement between the two *** high Kappa value(i.e.,0.9571%)shows the high level of agreement between the *** validates that the quality of annotation of the proposed technique is as good as manual annotation even with far less computational *** research also contributes in consolidating the guidelines for the manual annotation process.

关键词： machine learning natural language processing annotation semi-annotated technique reviews annotation text annotation corpus annotation

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Understanding the Language of ISIS:An Empirical Approach to Detect Radical Content on Twitter Using machine Learning

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Computers, materials & Continua 2021年第2期66卷 1075-1090页

作者： Zia Ul Rehman Sagheer Abbas muhammad Adnan Khan Ghulam.mustafa Hira Fayyaz muhammad Hanif muhammad Anwar Saeed School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Computer Sciences Bahria UniversityLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan School of Systems and Technology University of Management and TechnologyLahore54000Pakistan Department of CS&IT Virtual University of PakistanLahore54000Pakistan

The internet,particularly online social networking platforms have revolutionized the way extremist groups are influencing and radicalizing *** research reveals that the process initiates by exposing vast audiences to extremist content and then migrating potential victims to confined platforms for intensive ***,social networks have evolved as a persuasive tool for extremism aiding as recruitment platform and psychological ***,recognizing potential radical text or material is vital to restrict the circulation of the extremist *** aim of this research work is to identify radical text in social *** contributions are as follows:(i)A new dataset to be employed in radicalization detection;(ii)In depth analysis of new and previous datasets so that the variation in extremist group narrative could be identified;(iii)An approach to train classifier employing religious features along with radical features to detect radicalization;(iv)Observing the use of violent and bad words in radical,neutral and random groups by employing violent,terrorism and bad words *** research results clearly indicate that incorporating religious text in model training improves the accuracy,precision,recall,and F1-score of the *** a variation in extremist narrative has been observed implying that usage of new dataset can have substantial effect on classifier *** addition to this,violence and bad words are creating a differentiating factor between radical and random users but for neutral(anti-ISIS)group it needs further investigation.

关键词： Radicalization extremism machine learning natural language processing twitter text mining

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Some Random Coincidence Point Theorems

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Journal of mathematical Research and Exposition 2003年第3期23卷 413-421页

作者： Ghulam.mustafa 中国科技大学数学系安徽合肥230026

A class of multifunctions satisfying more general contractive inequalities is introduced and random coincidence point theorems for pairs of measurable nmltifunctions belonging to this class are proved.

关键词： separable metric space multifunctions random coincidence point.

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An Automated and Real-time Approach of Depression Detection from Facial micro-expressions

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Computers, materials & Continua 2022年第11期73卷 2513-2528页

作者： ghulam Gilanie mahmood ul Hassan mutyyba Asghar Ali mustafa Qamar Hafeez Ullah Rehan Ullah Khan Nida Aslam Irfan Ullah Khan Department of Artificial Intelligence Faculty of ComputingThe Islamia University of BahawalpurPakistan Department of Computer Skills Deanship of Preparatory YearNajran UniversityNajranSaudi Arabia Department of Computer Science College of ComputerQassim UniversityBuraydahSaudi Arabia Biophotonics Imaging Techniques Laboratory Institute of PhysicsThe Islamia University of BahawalpurPakistan Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Computer Science College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia

Depression is a mental psychological disorder that may cause a physical disorder or lead to *** is highly impactful on the socialeconomical life of a person;therefore,its effective and timely detection is *** speech and gait,facial expressions have valuable clues to *** study proposes a depression detection system based on facial expression *** features have been used for depression detection using Support Vector machine(SVm)and Convolutional Neural Network(CNN).We extracted micro-expressions using Facial Action Coding System(FACS)as Action Units(AUs)correlated with the sad,disgust,and contempt features for depression detection.A CNN-based model is also proposed in this study to auto classify depressed subjects from images or videos in *** have been performed on the dataset obtained from Bahawal Victoria Hospital,Bahawalpur,Pakistan,as per the patient health questionnaire depression scale(PHQ-8);for inferring the mental condition of a *** experiments revealed 99.9%validation accuracy on the proposed CNN model,while extracted features obtained 100%accuracy on ***,the results proved the superiority of the reported approach over state-of-the-art methods.

关键词： Depression detection facial micro-expressions facial landmarked images

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求解Burger’s方程带限制算子的傅立叶拟谱方法(英文)

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中国科学技术大学学报 2003年第5期 46-53页

作者： Abdur Rashid,Ghulam.mustafa Department of mathematics 中国科学技术大学数学系 Gomal University D. I. Khan Pakistan 合肥230026 Department of mathematics Islamia University Bahawalpur Pakistan

采用带限制算子的傅立叶拟谱方法近似求解了Burger’s方程 ,分别证明了它的(Burger’s方程 )一般化的稳定性和收敛性 ,并获得了数值结果 .

关键词： Burger’s方程傅立叶拟谱方法误差估计

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求解Burger’s方程带限制算子的傅立叶拟谱方法(英文)

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中国科学技术大学学报 2003年第5期33卷 547-554页

作者： Abdur Rashid Ghulam.mustafa Department of mathematics Gomal UniversityD.I.KhanPakistan 中国科学技术大学数学系合肥230026 Department of mathematics Islamia UniversityBahawalpurPakistan

采用带限制算子的傅立叶拟谱方法近似求解了Burger’s方程 ,分别证明了它的(Burger’s方程 )一般化的稳定性和收敛性 ,并获得了数值结果 .

关键词： Burgers方程傅立叶拟谱方法误差估计

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A Family of 4-Point <i>n</i>-Ary Interpolating Scheme Reproducing Conics

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American Journal of Computational mathematics 2013年第3期3卷 217-221页

作者： mehwish Bari Ghulam.mustafa Department of mathematics The Islamia University of Bahawalpur Bahawalpur Pakistan

The n-ary subdivision schemes contrast favorably with their binary analogues because they are capable to produce limit functions with the same (or higher) smoothness but smaller support. We present an algorithm to generate the 4-point n-ary non-stationary scheme for trigonometric, hyperbolic and polynomial case with the parameter for describing curves. The performance, analysis and comparison of the 4-point ternary scheme are also presented.

关键词： Interpolation Non-Stationary Univariate Ternary Refinement Continuity Conic Section

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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 teleparallcl homothetic vector field Weitzenbck geometry Torsion

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