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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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Assessment of post-myocardial infarction lipid levels and management:Results from a tertiary care hospital of Pakistan

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World Journal of Cardiology 2024年第5期16卷 282-292页

作者： Rubina Rauf muhammad Ismail soomro Muhamman Nauman Khan Mukesh Kumar Najia Aslam soomro Khawar Abbas Kazmi Department of Preventive Cardiology National Institute of Cardiovascular DiseasesKarachi 75510Pakistan Department of Adult Cardiology National Institute of Cardiovascular DiseasesKarachi 75510Pakistan Department of Cardiology Liaquat National HospitalKarachi 74800Pakistan

BACKGROUND Lipid treatment practices and levels in post-acute myocardial infarction(AMI)patients,which are crucial for secondary *** To evaluate the lipid treatment practices and lipid levels in post-myocardial infarction(MI)patients at a tertiary care hospital in *** In this cross-sectional study,we analyzed patients who had experienced their first AMI event in the past 3 *** assessed fasting and non-fasting lipid profiles,reviewed statin therapy prescriptions,and examined patient *** recommended dose was defined as rosuvastatin≥20 mg or atorvastatin≥40 mg,with target total cholesterol levels set atduration since AMI was 36(interquartile range:10-48)months and 60% were diagnosed with ST-segment elevation *** 13.8% of patients were advised to undergo lipid profile testing after AMI,88.7% of patients were on the recommended statin therapy,and 91.8% of patients were compliant with statin *** 11.5% had LDL-C within the target range and 71.7% had total cholesterol within the target *** admission in the past 12 months was reported by 14.4%,and the readmission rate was significantly higher among non-compliant patients(37.5%vs 5.6%).Subsequent AMI event rate was also significantly higher among non-compliant patients(43.8%vs 11.7%).CONCLUSION Our study highlights that while most post-AMI patients received the recommended minimum statin therapy dose,the inadequate practice of lipid assessment may compromise therapy optimization and raise the risk of subsequent events.

关键词： Lipid profile Dyslipidemia Acute myocardial infarction Secondary prevention Lipid lowering therapy

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Contrast Normalization Strategies in Brain Tumor Imaging:From Preprocessing to Classification

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1539-1562页

作者： Samar M.Alqhtani Toufique A.soomro Faisal Bin Ubaid Ahmed Ali muhammad Irfan Abdullah A.Asiri Department of Information Systems College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Electronic Engineering The University of LarkanoLarkanaSindh75660Pakistan Computer Science Department Sukkur IBA UniversitySukkurSindh65200Pakistan Eletrical Engineering Department Sukkur IBA UniversitySukkurSindh65200Pakistan Electrical Engineering Department College of EngineeringNajran UniversityNajran61441Saudi Arabia Radiological Sciences Department College of Applied Medical SciencesNajran UniversityNajran61441Saudi Arabia

Cancer-related to the nervous system and brain tumors is a leading cause of mortality in various *** resonance imaging(MRI)and computed tomography(CT)are utilized to capture brain *** plays a crucial role in the diagnosis of brain tumors and the examination of other brain ***,manual assessment of MRI images by radiologists or experts is performed to identify brain tumors and abnormalities in the early stages for timely ***,early diagnosis of brain tumors is intricate,necessitating the use of computerized *** research introduces an innovative approach for the automated segmentation of brain tumors and a framework for classifying different regions of brain *** proposed methods consist of a pipeline with several stages:preprocessing of brain images with noise removal based on Wiener Filtering,enhancing the brain using Principal Component Analysis(PCA)to obtain well-enhanced images,and then segmenting the region of interest using the Fuzzy C-Means(FCM)clustering technique in the third *** final step involves classification using the Support Vector Machine(SVM)*** classifier is applied to various types of brain tumors,such as meningioma and pituitary tumors,utilizing the Contrast-Enhanced Magnetic Resonance Imaging(CE-MRI)*** proposed method demonstrates significantly improved contrast and validates the effectiveness of the classification framework,achieving an average sensitivity of 0.974,specificity of 0.976,accuracy of 0.979,and a Dice Score(DSC)of ***,this method exhibits a shorter processing time of 0.44 s compared to existing *** performance of this method emphasizes its significance when compared to state-of-the-art methods in terms of sensitivity,specificity,accuracy,and *** enhance the method further in the future,it is feasible to standardize the approach by incorporating a set of classifiers to increase the robustness of the brain classi

关键词： Brain tumor magnetic resonance imaging principal component analysis fuzzy c-clustering support vector machine

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Nodular Pulmonary Amyloidosis with Interstitial Lung Disease—Case Report and Literature Review

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Open Journal of Thoracic Surgery 2024年第2期14卷 40-45页

作者： Efosa Imuetinyan Irshad soomro muhammad Hawari Adnan Raza Department of Thoracic Surgery Nottingham University Hospital Nottingham UK Department of Pathology Nottingham University Hospital Nottingham UK

Amyloidosis is a rare spectrum of disease which involves deposition of misfolded extracellular proteins (amyloids) in various body organs leading to progressive organ dysfunction. Clinical presentation can be variable depending on the organ involved and type of protein. Amyloidosis can be classified based on quantity, type, and location of these proteins. Amyloid light-chain amyloidosis develops in the bone marrow, producing abnormal forms of light-chain proteins, which cannot be broken down. These proteins transform into amyloid fibrils and form amyloid deposits in different organs. Pulmonary amyloidosis is uncommonly diagnosed since it is rarely symptomatic. Diagnosis of pulmonary amyloidosis is usually made in the setting of systemic amyloidosis;however, it may present as localised pulmonary disease. Localized pulmonary Amyloidosis can present as nodular, cystic, or tracheobronchial amyloidosis. Depending on the degree of the interstitial involvement, it may affect alveolar gas exchange and cause respiratory symptoms. This is a case of a 47-year-old female with background history of interstitial lung disease presenting with progressive shortness of breath. Computed tomography scan revealed bilateral pulmonary nodules. The patient was referred to our thoracic surgery team with the suspicion of bronchogenic malignancy with metastasis. Diagnostic video assisted wedge resection was performed for this patient, and histology confirmed pulmonary amyloidosis of nodular type. Amyloid deposition simulates both inflammatory and neoplastic conditions. Definitive diagnosis requires biopsy confirmation therefore early detection and commencing the patient on appropriate treatment pathway may help in symptomatic relief and better outcome.

关键词： Nodular Amyloidosis Interstitial Lung Disease Immunomodulatory Drugs

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Comparative analysis of SIMILAR to RCD ONE(SRO)family from tetraploid cotton species and their diploid progenitors depict their significance in cotton growth and development

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Journal of Cotton Research 2024年第1期7卷 45-57页

作者： SHABAN muhammad TABASSUM Riaz RANA Iqrar Ahmad ATIF Rana muhammad AZMAT muhammad Abubakkar IQBAL Zubair MAJEED Sajid AZHAR muhammad Tehseen Department of Plant Breeding and Genetics University of Agriculture FaisalabadSub-Campus BurewalaVehari 61010Pakistan Department of Chemistry and Biochemistry University of AgricultureFaisalabad 38400Pakistan Centre of Agricultural Biochemistry and Biotechnology University of AgricultureFaisalabad 38400Pakistan Department of Plant Breeding and Genetics University of AgricultureFaisalabad 38400Pakistan Precision Agriculture and Analytics Lab National Centre in Big Data and Cloud ComputingCentre for Advanced Studies in Agriculture and Food SecurityUniversity of Agriculture FaisalabadFaisalabad 38400Pakistan Department of Plant Pathology University of CaliforniaDavisCA 95616USA State Key Laboratory of Cotton Biology Institute of Cotton ResearchChinese Academy of Agricultural SciencesAnyangHenan 455000China Federal Seed Certification and Registration Department Ministry of National Food Security and ResearchIslamabad 44090Pakistan School of Agriculture Sciences Zhengzhou UniversityZhengzhou 450000China

Background SRO(Similar to RCD1)genes family is largely recognized for their importance in the growth,develop-ment,and in responding to environmental ***,genome-wide identification and functional characteri-zation of SRO genes from cotton species have not been reported so *** A total of 36 SRO genes were identified from four cotton *** analysis divided these genes into three groups with distinct *** and chromosomal distribution analysis indicated uneven distribu-tion of GaSRO,GrSRO,GhSRO,and GbSRO genes on A2,D5 genomes,Gh-At,Gh-Dt,Gb-At,and Gb-Dt subgenomes,*** duplication analysis revealed the presence of six duplicated gene pairs among GhSRO *** promoter analysis,several elements responsive to the growth,development and hormones were found in GhSRO genes,implying gene induction during cotton growth and *** miRNAs responsive to plant growth and abiotic stress were predicted to target 12 GhSRO ***-specific expression profiling demonstrated the roles of GhSRO genes in one or more *** addition,specific expression pattern of some GhSRO genes dur-ing ovule development depicted their involvement in these developmental *** The data presented in this report laid a foundation for understanding the classification and functions of SRO genes in cotton.

关键词： Cotton SRO miRNAs Gene duplications Gene expression Ovule development

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Multi-material Bio-inspired Soft Octopus Robot for Underwater Synchronous Swimming

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Journal of Bionic Engineering 2022年第5期19卷 1229-1241页

作者： Faheem Ahmed muhammad Waqas Bushra Shaikh Umair Khan Afaque Manzoor soomro Suresh Kumar Hina Ashraf Fida Hussain Memon Kyung Hyun Choi Department of Mechatronics Engineering Jeju National UniversityJeju 63243South Korea Department of Electrical Engineering Sukkur IBA UniversityAirport RoadSukkur 65200SindhPakistan Advanced Micro Mechatronics and Energy Lab Sukkur IBA UniversitySukkur 65200Pakistan Department of Ocean Sciences Jeju National UniversityJeju 63243South Korea

Inspired by the simple yet amazing morphology of the Octopus, we propose the design, fabrication, and characterization of multi-material bio-inspired soft Octopus robot (Octobot). 3D printed molds for tentacles and head were used. The tentacles of the Octobot were casted using Ecoflex-0030 while head was fabricated using relatively flexible material, i.e., OOMOO-25. The head is attached to the functionally responsive tentacles (each tentacle is of 79.12 mm length and 7 void space diameter), whereas Shape Memory Alloy (SMA) muscle wires of 0.5 mm thickness are used in Octobot tentacles for dual thrust generation and actuation of Octobot. The tentacles were separated in two groups and were synchronously actuated. Each tentacle of the developed Octobot contains a pair of SMA muscles (SMA-α and SMA-β). SMA-α muscles being the main actuator, was powered by 9 V, 350 mA power supply, whereas SMA-β was used to provide back thrust and thus helps to increase the actuation frequency. Simulation work of the proposed model was performed in the SolidWorks environment to verify the vertical velocity using the octopus tentacle actuation. The design morphology of Octobot was optimized using simulation and TRACKER software by analyzing the experimental data of angle, displacement, and velocity of real octopus. The as-developed Octobot can swim at variable frequencies (0.5–2 Hz) with the average speed of 25 mm/s (0.5 BLS). Therefore, the proposed soft Octopus robot showed an excellent capability of mimicking the gait pattern of its natural counterpart.

关键词： Bio-inspired Octopus Octobot Sub-surface Soft robotics Swimming

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Design and Development of Low-cost Wearable Electroencephalograms (EEG) Headset

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Intelligent Automation & Soft Computing 2023年第3期35卷 2821-2835页

作者： Riaz muhammad Ahmed Ali M.Abid Anwar Toufique Ahmed soomro Omar AlShorman Adel Alshahrani Mahmoud Masadeh Ghulam Md Ashraf Naif H.Ali muhammad Irfan Athanasios Alexiou Department of Electrical Engineering Sukkur IBA University65200SukkurPakistan Department of Electronic Engineering Quaid-e-Awam University of EngineeringScience and TechnologyLarkana77150Pakistan Faculty of Engineering and AlShrouk Trading Company Najran UniversityNajran61441Saudi Arabia Department of Medical Rehabilitation Sciences-Physiotherapy Program College of Applied Medical SciencesNajran UniversityNajran61441Saudi Arabia Computer Engineering Department Yarmouk UniversityIrbid21163Jordan Pre-Clinical Research Unit King Fahd Medical Research CenterKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Medical Laboratory Technology Faculty of Applied Medical SciencesKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Internal Medicine Medical CollegeNajran UniversityNajran61441Saudi Arabia Electrical Engineering Department College of EngineeringNajran University Saudi ArabiaNajran61441Saudi Arabia Novel Global Community Educational Foundation HebershamNSW 2770AustraliaAFNP Med AustriaWien2770Austria

Electroencephalogram(EEG)is a method of capturing the electrophy-siological signal of the *** EEG headset is a wearable device that records electrophysiological data from the *** paper presents the design and fab-rication of a customized low-cost Electroencephalogram(EEG)headset based on the open-source OpenBCI Ultracortex Mark IV *** electrode placement locations are modiﬁed under a 10–20 standard *** fabricated headset is then compared to commercially available headsets based on the following para-meters:affordability,accessibility,noise,signal quality,and ***,the data is recorded from 20 subjects who used the EEG Headset,and signals were ***,the participants marked the accuracy,set up time,participant comfort,and participant perceived ease of set-up on a scale of 1 to 7(7 being excellent).Thirdly,the self-designed EEG headband is used by 5 participants for slide *** raw EEG signal is decomposed into a series of band sig-nals using discrete wavelet transform(DWT).Lastly,theseﬁndings have been compared to previously reported *** concluded that when used for slide-changing control,our self-designed EEG headband had an accuracy of 82.0 *** also concluded from the results that our headset performed well on the cost-effectiveness scale,had a reduced setup time of 2±0.5 min(the short-est among all being compared),and demonstrated greater ease of use.

关键词： Brain-computer interface EEG consumer-grade accessibility headset

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Insecticidal Potential of α-Pinene and β-Caryophyllene against Myzus persicae and Their Impacts on Gene Expression

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Phyton-International Journal of Experimental Botany 2023年第7期92卷 1943-1954页

作者： Talha Ali Chohan Tahir Ali Chohan muhammad Zahid Mumtaz muhammad Waqar Alam Salah ud Din Iqra Naseer Ayesha Riaz Tayyeba Naseem Areeba Iftikhar dur ENajaf Ali Mubashir Hassan Hayssam M.Ali Institute of Molecular Biology and Biotechnology(IMBB) The University of LahoreLahore54000Pakistan Institute of Pharmaceutical Sciences University of Veterinary and Animal SciencesLahore54000Pakistan Deparment of Plant Pathology University of OkaraOkara56300Pakistan Deparment of Bioinformatics University of OkaraOkara56300Pakistan Department of Soil Science The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Zoology The Islamia University of BahawalpurBahawalpur(Bahawalnagar Campus)63100Pakistan The Steve and Cindy Rasmussen Institute for Genomic Medicine Nationwide Children’s HospitalColumbusOhio43205USA Department of Botany and Microbiology College of ScienceKing Saud UniversityRiyadh11451Saudi Arabia

Myzus persicae(***)is now considered a threat to agricultural crops due to economic *** synthetic insecticides applied every year against ***,are reported to be unsafe for environment,humans,and beneficial ***,several species of Myzus have been found to develop resistance due to over application of these ***,it is required to find some novel insecticide that would be safe for the environment as well as for *** the current study,two major pure constituentsα-pinene andβ-caryophyllene were evaluated for their insecticidal potential against *** using a fumigant toxicity ***,impact ofα-pinene andβ-caryophyllene on expression of five different genes,e.g.,HSP 60,FPPS I,OSD,TOL and ANT responsible for reproduction,dispersion,and growth of *** has also been *** perform fumigant toxicity assay,five different concentrations(3.5,4,4.5,5 and 6μL L−1)ofα-pinene andβ-caryophyllene were *** concentration(LC)was calculated,and gene expression studies were executed through qRT PCR at LC30 ofα-pinene andβ-*** constituents demonstrated excellent fumigant toxicity effects against *** at all five ***,α-pinene shows significantly better results(98%)as compared toβ-caryophyllene(80%)after 72 h at 6μL L−1 of *** highest upregulation in expression was demonstrated at LC30 dose ofα-pinene in five in three out of five genes understudy(TOL,ANT,and FPPS I).Conversely,two genes HSP 60 and OSD demonstrated downregulation at LC30 dose ofβ-***,our results highlighted the promising insecticidal potential of both compoundsα-pinene andβ-caryophylleneby interfering with the reproduction and development related processes in ***,allowing us to recommend the phytoconstituents under investigation as an ecofriendly alternative to synthetic insecticides.

关键词： Fumigation M.persicae gene expression real time PCR α-pinene β-caryophyllene

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Estimating the basic reproductive ratio for the Ebola outbreak in Liberia and Sierra Leone

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Infectious Diseases of Poverty 2015年第1期4卷 114-121页

作者： Adnan Khan Mahim Naveed muhammad dur-e-Ahmad Mudassar Imran Department of Mathematics Lahore University of Management SciencesLahorePakistan Department of Mathematics State University of New York at PlattsburghPlattsburghNYUSA Department of Mathematics Waterloo UniversityWaterlooONCanada Department of Mathematics and Natural Sciences GULF University for Science and TechnologyMubarak Al-AbdullahWest MishrefKuwait

Background:Ebola virus disease has reemerged as a major public health crisis in Africa,with isolated cases also observed globally,during the current ***:To estimate the basic reproductive ratio R0,which is a measure of the severity of the outbreak,we developed a SEIR(susceptible-exposed-infected-recovered)type deterministic model,and used data from the Centers for Disease Control and Prevention(CDC),for the Ebola outbreak in Liberia and Sierra *** different data sets are available:one with raw reported data and one with corrected data(as the CDC suspects under-reporting).Results:Using a deterministic ordinary differential equation transmission model for Ebola epidemic,the basic reproductive ratio R0 for Liberia resulted to be 1.757 and 1.9 for corrected and uncorrected case data,*** Sierra Leone,R0 resulted to be 1.492 and 1.362 for corrected and uncorrected case data,*** each of the two cases we considered,the estimate for the basic reproductive ratio was initially greater than unity leading to an epidemic ***:We obtained robust estimates for the value of R0 associated with the 2014 Ebola outbreak,and showed that there is close agreement between our estimates of *** of our model also showed that effective isolation is required,with the contact rate in isolation less than one quarter of that for the infected non-isolated population,and that the fraction of high-risk individuals must be brought to less than 10%of the overall susceptible population,in order to bring the value of R0 to less than 1,and hence control the outbreak.

关键词： Epidemiology Ebola virus disease Transmission model Basic reproductive ratio

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Hep-Pred: Hepatitis C Staging Prediction Using Fine Gaussian SVM

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Computers, Materials & Continua 2021年第10期69卷 191-203页

作者： Taher M.Ghazal Marrium Anam Mohammad Kamrul Hasan Muzammil Hussain muhammad Sajid Farooq Hafiz muhammad Ammar Ali Munir Ahmad Tariq Rahim soomro Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebansaan Malaysia(UKM)Bangi43600SelangorMalaysia School of Information Technology Skyline University CollegeUniversity City SharjahSharjah1797UAE Department of Computer Science Government College UniversityFaisalabad38000Pakistan Department of Computer Science School of Systems and TechnologyUniversity of Management and TechnologyLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan CCSIS Institute of Business ManagementKarachi75190SindhPakistan

Hepatitis C is a contagious blood-borne infection,and it is mostly asymptomatic during the initial ***,it is difficult to diagnose and treat patients in the early stages of *** disease’s progression to its last stages makes diagnosis and treatment more *** this study,an AI system based on machine learning algorithms is presented to help healthcare professionals with an early diagnosis of hepatitis *** dataset used for our Hep-Pred model is based on a literature study,and includes the records of 1385 patients infected with the hepatitis C *** in this dataset received treatment dosages for the hepatitis C virus for about 18 months.A former study divided the disease into four main *** stages have proven helpful for doctors to analyze the liver’s *** traditional way to check the staging is the biopsy,which is a painful and time-consuming *** article aims to provide an effective and efficient approach to predict hepatitis C *** this purpose,the proposed technique uses a fine Gaussian SVM learning algorithm,providing 97.9%accurate results.

关键词： Hepatitis C artificial intelligence Hep-Pred support vector machine machine learning hepatitis staging

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