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Hybrid Evolutionary Algorithm Based Relevance Feedback Approach for Image Retrieval

Computers, Materials & Continua 2022年第1期70卷 963-979页

作者： awais Mahmood Muhammad Imran Aun Irtaza Qammar Abbas Habib Dhahri Esam Mohammed Asem Othman Arif Jamal Malik Aaqif Afzaal Abbasi College of Applied Computer Science King Saud University(Almuzahmiyah Campus)Riyadh11543Saudi Arabia Shaheed Zulfikar Ali Bhutto Institute of Science and Technology(Islamabad Campus) 44000Pakistan University of Engineering and Technology Taxila Pakistan International Islamic University Islamabad44000Pakistan Faculty of Sciences and Technology University of KairouanSidi Bouzid4352Tunisia Department of Software Engineering Foundation University IslamabadIslamabad44000Pakistan

Searching images fromthe large image databases is one of the potential research areas of multimedia *** most challenging task for nay CBIR system is to capture the high level semantic of *** researchers of multimedia domain are trying to fix this issue with the help of Relevance Feedback(RF).However existing RF based approaches needs a number of iteration to fulfill user’s *** paper proposed a novel methodology to achieve better results in early iteration to reduce the user interaction with the *** previous research work it is reported that SVM based RF approach generating better results for ***,this paper focused on SVM based RF *** enhance the performance of SVM based RF approach this research work applied Particle Swarm Optimization(PSO)and Genetic Algorithm(GA)before applying SVM on user *** main objective of using thesemeta-heuristic was to increase the positive image sample size from *** steps PSO is applied by incorporating the user feedback and secondly GA is applied on the result generated through PSO,finally SVM is applied using the positive sample generated through *** proposed technique is named as Particle Swarm Optimization Genetic Algorithm-Support Vector Machine Relevance Feedback(PSO-G A-SVMRF).Precisions,recall and F-score are used as performance metrics for the assessment and validation of PSO-GA-SVM-RF approach and experiments are conducted on coral image dataset having 10908 *** experimental results it is proved that PSO-GA-SVM-RF approach outperformed then various well known CBIR approaches.

关键词： Feature selection image retrieval particle swarm optimization

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An Optimized Offloaded Task Execution for Smart Cities Applications

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Computers, Materials & Continua 2023年第3期74卷 6321-6334页

作者： Ahmad Naseem Alvi Muhammad awais Javed Mozaherul Hoque Abul Hasanat Muhammad Badruddin Khan Abdul Khader Jilani Saudagar Mohammed Alkhathami Department of Electrical and Computer Engineering COMSATS University Islamabad45550Pakistan Information Systems Department College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia

Wireless nodes are one of the main components in different applications that are offered in a smart *** wireless nodes are responsible to execute multiple tasks with different priority *** the wireless nodes have limited processing capacity,they offload their tasks to cloud servers if the number of tasks exceeds their task processing *** these tasks from remotely placed cloud servers causes a significant delay which is not required in sensitive task *** execution delay is reduced by placing fog computing nodes near these application nodes.A fog node has limited processing capacity and is sometimes unable to execute all the requested *** this work,an optimal task offloading scheme that comprises two algorithms is proposed for the fog nodes to optimally execute the time-sensitive offloaded *** first algorithm describes the task processing criteria for local computation of tasks at the fog nodes and remote computation at the cloud *** second algorithm allows fog nodes to optimally scrutinize the most sensitive tasks within their task *** results show that the proposed task execution scheme significantly reduces the execution time and most of the time-sensitive tasks are executed.

关键词： Smart cities fog computing task offloading knapsack

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GaitDONet: Gait Recognition Using Deep Features Optimization and Neural Network

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Computers, Materials & Continua 2023年第6期75卷 5087-5103页

作者： Muhammad Attique Khan awais Khan Majed Alhaisoni Abdullah Alqahtani Ammar Armghan Sara A.Althubiti Fayadh Alenezi Senghour Mey Yunyoung Nam Department of Computer Science HITEC UniversityTaxilaPakistan Computer Sciences Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia College of Computer Engineering and Sciences Prince Sattam bin Abdulaziz UniversityAl-KharjSaudi Arabia Department of Electrical Engineering College of EngineeringJouf UniversitySakaka 72388Saudi Arabia Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of ICT Convergence Soonchunhyang UniversityKorea

Human gait recognition(HGR)is the process of identifying a sub-ject(human)based on their walking *** subject is a unique walking pattern and cannot be simulated by other ***,gait recognition is not easy and makes the system difficult if any object is carried by a subject,such as a bag or *** article proposes an automated architecture based on deep features optimization for *** our knowledge,it is the first architecture in which features are fused using multiset canonical correlation analysis(MCCA).In the proposed method,original video frames are processed for all 11 selected angles of the CASIA B dataset and utilized to train two fine-tuned deep learning models such as Squeezenet and *** transfer learning was used to train both fine-tuned models on selected angles,yielding two new targeted models that were later used for feature *** are extracted from the deep layer of both fine-tuned models and fused into one vector using *** improved manta ray foraging optimization algorithm is also proposed to select the best features from the fused feature matrix and classified using a narrow neural network *** experimental process was conducted on all 11 angles of the large multi-view gait dataset(CASIA B)dataset and obtained improved accuracy than the state-of-the-art ***,a detailed confidence interval based analysis also shows the effectiveness of the proposed architecture for HGR.

关键词： Human gait recognition biometric deep learning features fusion optimization neural network

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How Agent Orange impacts prostate cancer risk,pathology,and treatment outcomes

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Current Urology 2024年第2期18卷 79-86页

作者： awais Paracha Zohair Siddiqui Ali Abid Ekamjit Deol Fatima Waheed Zachary Hamilton Saint Louis University School of Medicine Saint LouisMOUSA Saint Louis University Saint LouisMOUSA New York Institute of Technology College of Osteopathic Medicine OldWestburyNYUSA Department of Surgery Division of UrologySaint Louis University School of MedicineSaint LouisMOUSA

Between 2.6 and 3.8 million veterans served in Vietnam while the US military dispersed Agent Orange(AO),although the exact number of exposed individuals is *** Orange,an herbicide,is a known risk factor for various cancers,including sarcoma and leukemia,but less is known about its link with prostate cancer(PC).Prostate cancer is the most commonly diagnosed malignancy in men and the fifth most common cause of cancer-related death in men *** 2023,approximately 288,300 patients will be given a diagnosis of PC,and an estimated 34,700 fatalities will occur in the United ***,whether the pathologic characteristics of PC among those exposed to AO differ from those in the general population remains *** review synthesizes the literature regarding the impact of AO exposure on PC incidence and disease course.A comprehensive PubMed literature search of articles published beginning in 1950 was performed using the primary search terms“Agent Orange,”“TCDD,”and“tetrachlorodibenzodioxin”and the secondary search terms“prostate cancer”or“prostate neoplasm.”The search was limited to studies that focused on human participants and were published in *** authors thoroughly reviewed the retrieved articles for relevancy to the study aims:discussion of PC diagnosis,prognosis,or management among patients exposed to *** 108 studies identified in our search,13 were included in this systematic *** within studies concerning AO exposure with relation to PC incidence,age at diagnosis or treatment initiation,and PC severity seemed to be mixed and generally ***,the literature seems to indicate that there are no significant differences in survivorship between exposed and unexposed veterans who are given a diagnosis of *** these heterogeneous outcomes,the evidence does not encourage a significantly different approach to the diagnosis and management of PC for veterans exposed to *** shouldmake case-by-case decision

关键词： Agent Orange 2,3,7,8-Tetrachlorodibenzo-p-dioxin Prostate cancer Veterans

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Weapons Detection for Security and Video Surveillance Using CNN and YOLO-V5s

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Computers, Materials & Continua 2022年第2期70卷 2761-2775页

作者： Abdul Hanan Ashraf Muhammad Imran Abdulrahman M.Qahtani Abdulmajeed Alsufyani Omar Almutiry awais Mahmood Muhammad Attique Mohamed Habib Department of Computer Science Shaheed Zulfikar Ali Bhutto Institute of Science and TechnologyIslamabad44000Pakistan Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia College of Applied Computer Science King Saud University(Almuzahmiyah Campus)Riyadh11543Saudi Arabia Department of Computer Science HITEC UniversityTaxila47080Pakistan College of Computing and Informatics Saudi Electronic UniversityRiyadhSaudi Arabia Faculty of Engineering Port Said UniversityPort Fuad CityEgypt

In recent years,the number of Gun-related incidents has crossed over 250,000 per year and over 85%of the existing 1 billion firearms are in civilian hands,manual monitoring has not proven effective in detecting *** is why an automated weapon detection system is *** automated convolutional neural networks(CNN)weapon detection systems have been proposed in the past to generate good ***,These techniques have high computation overhead and are slow to provide real-time detection which is essential for the weapon detection *** models have a high rate of false negatives because they often fail to detect the guns due to the low quality and visibility issues of surveillance *** research work aims to minimize the rate of false negatives and false positives in weapon detection while keeping the speed of detection as a key *** proposed framework is based on You Only Look Once(YOLO)and Area of Interest(AOI).Initially,themodels take pre-processed frames where the background is removed by the use of the Gaussian blur *** proposed architecture will be assessed through various performance parameters such as False Negative,False Positive,precision,recall rate,and F1 *** results of this research work make it clear that due to YOLO-v5s high recall rate and speed of detection are *** reached 0.010 s per frame compared to the 0.17 s of the Faster *** is promising to be used in the field of security and weapon detection.

关键词： Video surveillance weapon detection you only look once convolutional neural networks

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基于固结磨粒的单晶蓝宝石自旋转磨削加工方法

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中国机械工程 2021年第16期32卷 2002-2007,2015页

作者：吴柯陆新明 MEHMOOD awais 周立波袁巨龙宁波大学机械工程与力学学院宁波315000 茨城大学工学院日立316-8511 浙江工业大学超精密加工中心杭州310014

利用固结磨粒自旋转磨削加工方法,通过金刚石磨削和化学机械磨削实现了蓝宝石晶片的高效、高质量平坦化加工。采用不同磨粒粒径的金刚石砂轮实现了蓝宝石晶片较高的材料去除率或较好的表面质量。开发了高磨粒浓度Cr2O3砂轮,采用化学机... 详细信息

利用固结磨粒自旋转磨削加工方法,通过金刚石磨削和化学机械磨削实现了蓝宝石晶片的高效、高质量平坦化加工。采用不同磨粒粒径的金刚石砂轮实现了蓝宝石晶片较高的材料去除率或较好的表面质量。开发了高磨粒浓度Cr2O3砂轮,采用化学机械磨削对金刚石磨削后的蓝宝石晶片进行平坦化加工。实验结果表明,化学机械磨削能够去除金刚石磨削的表面和亚表面缺陷,最终获得表面粗糙度Ra<1 nm、无/微损伤的蓝宝石晶片。通过理论分析单颗金刚石磨粒的磨削力,发现磨粒粒径是影响材料去除率和表面质量的主要影响因素。通过XPS分析证明了Cr2O3和蓝宝石之间的固相反应过程。

关键词：金刚石磨削化学机械磨削表面质量材料去除率

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Safety assessment of Mequindox:Acute and Subchronic Toxicity Studies in Wistar Rats

Safety assessment of Mequindox:Acute and Subchronic Toxicity...

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中国畜牧兽医学会兽医药理毒理学分会第十次研讨会

作者： awais Ihsan National Reference Laboratory of Veterinary Drug Residues and MOA Key Laboratory of Food Safety Evaluation Huazhong Agriculture University

Quinoxaline 1,4-dioxide derivatives have been described as interesting biological active compounds reminding its interest in medicinal chemistry until *** animal husbandry,they are used as feed additives to prevent diarrhea and to improve growth. Mequindox(2-Methyl-3 acetyl- quinoxaline-1,4-dioxide) is a new quinoxaline derivative developed by Lanzhou Institute of Animal Husbandry and Veterinary Drugs,Chinese Academy of Agricultural Sciences(China).We have studied the acute and subchronic oral toxicity of Mequindox(MEQ) in male and female Wistar *** acute MEQ doses of 175,550,and 2000 mg/kg body weight dissolved in 0.5%carboxymethyl cellulose were administered by oral *** investigate the subchronic toxicological effects,MEQ was administered in Wistar rats(30/sex/group) for 90-day dietary exposure at doses of 0,55,110 and 275 mg MEQ/kg diet or 110 mg cyadox/kg *** parameters included mortality,clinical signs,body weight,body weight gain,food water consumption,feed conversion efficiency,hematology,clinical chemistry values,oxidative stress parameters(SOD and MDA),organ weights,macroscopic examinations and histopathological *** acute toxicity studies, all the rats were found dead at 2000 mg/kg body weight and one rat was found dead at 550 mg/kg body *** was calculated as 550 mg/kg body weight using the maximum likelihood method by AOT425 statistical *** the sub-chronic study,body weights and feed consumption in the 275 mg/kg MEQ-treated animals of both sexes were significantly suppressed compared to that of the untreated *** groups were unaffected by *** the high dose group,slightly elevated ALT and AST values were observed in male *** toxic effects following administration of 275 mg/kg included change in Na and K electrolytes parameters in both *** oxidative stress parameters,at high dose groups,the levels of thiobarbituric acid reactive substances(TBARS) was increased in males,and

关键词： Acute Feed additives Mequindox NOAEL Subchronic Toxicity Wistar rats.

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Signet Ring Cell Detection from Histological Images Using Deep Learning

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Computers, Materials & Continua 2022年第9期72卷 5985-5997页

作者： Muhammad Faheem Saleem Syed Muhammad Adnan Shah Tahira Nazir awais Mehmood Marriam Nawaz Muhammad Attique Khan Seifedine Kadry Arnab Majumdar Orawit Thinnukool Department of Computer Science UETTaxila47050Pakistan Department of Computer Science HITEC University TaxilaTaxilaPakistan Faculty of Applied Computing and Technology Noroff University CollegeKristiansandNorway Department of Civil Engineering Imperial College LondonLondon SW72AZUK College of Arts Mediaand TechnologyChiang Mai UniversityChiang Mai 50200Thailand

Signet Ring Cell(SRC)Carcinoma is among the dangerous types of cancers,and has a major contribution towards the death ratio caused by cancerous *** and diagnosis of SRC carcinoma at earlier stages is a challenging,laborious,and costly *** detection of SRCs in a patient’s body through medical imaging by incorporating computing technologies is a hot topic of *** the presented framework,we propose a novel approach that performs the identification and segmentation of SRCs in the histological images by using a deep learning(DL)technique named Mask Region-based Convolutional Neural Network(Mask-RCNN).In the first step,the input image is fed to Resnet-101 for feature *** extracted feature maps are conveyed to Region Proposal Network(RPN)for the generation of the region of interest(RoI)proposals as well as they are directly conveyed to ***,RoIAlign combines the feature maps with RoI proposals and generates segmentation masks by using a fully connected(FC)network and performs classification along with Bounding Box(bb)generation by using FC *** annotations are developed from ground truth(GT)images to perform experimentation on our developed *** introduced approach achieves accurate SRC detection with the precision and recall values of 0.901 and 0.897 respectively which can be utilized in clinical *** aim to release the employed database soon to assist the improvement in the SRC recognition research area.

关键词： Mask RCNN deep learning SRC segmentation

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Potential of eNose Technology for Monitoring Biological CO_(2) Conversion Processes

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Transactions of Tianjin University 2024年第5期30卷 381-394页

作者： Muhammad awais Syed Muhammad Zaigham Abbas Naqvi Sami Ullah Khan MIjaz Khan Sherzod Abdullaev Junfeng Wu Wei Zhang Jiandong Hu Department of Electrical Engineering Henan Agricultural UniversityZhengzhou 450002China Henan International Joint Laboratory of Laser Technology in Agriculture Sciences Zhengzhou 450002China State Key Laboratory of Wheat and Maize Crop Science Zhengzhou 450002China Department of Mathematics Namal UniversityTalagang RoadMianwali 42250Pakistan Department of Mechanical Engineering Prince Mohammad Bin Fahd University31952 Al-KhobarKingdom of Saudi Arabia Faculty of Chemical Engineering New Uzbekistan UniversityTashkentUzbekistan Scientific and Innovation Department Tashkent State Pedagogical UniversityTashkentUzbekistan

Electronic nose(eNose) is a modern bioelectronic sensor for monitoring biological processes that convert CO_(2) into valueadded products, such as products formed during photosynthesis and microbial fermentation. eNose technology uses an array of sensors to detect and quantify gases, including CO_(2), in the air. This study briefly introduces the concept of eNose technology and potential applications thereof in monitoring CO_(2) conversion processes. It also provides background information on biological CO_(2) conversion processes. Furthermore, the working principles of eNose technology vis-à-vis gas detection are discussed along with its advantages and limitations versus traditional monitoring methods. This study also provides case studies that have used this technology for monitoring biological CO_(2) conversion processes. eNose-predicted measurements were observed to be completely aligned with biological parameters for R~2 values of 0.864, 0.808, 0.802, and 0.948. We test eNose technology in a variety of biological settings, such as algae farms or bioreactors, to determine its effectiveness in monitoring CO_(2) conversion processes. We also explore the potential benefits of employing this technology vis-à-vis monitoring biological CO_(2) conversion processes, such as increased reaction efficiency and reduced costs versus traditional monitoring methods. Moreover, future directions and challenges of using this technology in CO_(2) capture and conversion have been discussed. Overall, we believe this study would contribute to developing new and innovative methods for monitoring biological CO_(2) conversion processes and mitigating climate change.

关键词： Electronic nose(eNose) CO_(2) conversion Biological monitoring Gas detection Bioelectronic nose

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Molecular Docking-Based Research on the Potential Anti-Encephalopathy Effect of Gentianine

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World Journal of Traditional Chinese Medicine 2021年第3期7卷 377-382页

作者： awais Wahab Jian-Xin Chen Cai-Xia Jia Ghulam Murtaza Chuan-Hong Wu Na Wang School of Traditional Chinese Medicine Beijing University of Chinese MedicineBeijingChina Department of Pharmacy COMSATS University IslamabadLahorePakistan The Biomedical Sciences Institute of Qingdao University(Qingdao Branch of SJTU Bio-X Institutes) Qingdao UniversityQingdaoChina

Objective:Encephalopathy is increasingly threatening human *** is correspondingly one of the concerns of society and medical *** a natural source,traditional Chinese medicine has tremendous beneficial outcomes in various diseases including ***,a Chinese herbal compound,shows effectiveness in many diseases exclusively in ***,this in vitro research was carried out to find its effectiveness in ***:Ligand and proteins were searched and downloaded from ChemDraw and protein database,***-X2.0 docking software and its various functions were used to prepare ligand and ***,gentianine was docked with proteins using Sybyl-X2.0 docking ***:Gentianine was docked with 20 protein *** with C-score of 5 were selected.A total of three kinds of protein docked with gentianine(ABCC1,C-reactive protein[CRP],and NKX5-2)were ***1 was expressed in the brain and was related to seizures and *** was an inflammatory biomarker and related to seizures,epilepsy,stroke,and Parkinson’s ***2–5 was also known as cardiac transcription and related to cerebral palsy,Alzheimer’s disease,and *** these targets were related to ***:Molecular docking findings in this study lead to the suggestion that gentianine might be helpful in treating *** study is expected to provide a solution to find potential anti-encephalopathy compounds.

关键词： Encephalopathy gentianine molecular docking

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