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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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A Machine Learning Approach for Expression Detection in Healthcare Monitoring Systems

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Computers, Materials & Continua 2021年第5期67卷 2123-2139页

作者： Muhammad Kashif Ayyaz Hussain Asim Munir Abdul Basit Siddiqui AaqifAfzaal Abbasi Muhammad Aakif arif jamal malik Fayez Eid Alazemi Oh-Young Song Department of Computer Science&Software Engineering International Islamic UniversityIslamabad44000Pakistan Department of Computer Science Quaid-i-Azam UniversityIslamabad44000Pakistan Department of Computer Science Capital University of Science&TechnologyIslamabad44000Pakistan Department of Software Engineering Foundation UniversityIslamabad44000Pakistan Department of Computer Science Abdul Wali Khan UniversityMardan23200Pakistan Department of Computer Science and Information Systems College of Business StudiesPAAET12062Kuwait Department of Software Sejong UniversitySeoul05006Korea

Expression detection plays a vital role to determine the patient’s condition in healthcare *** helps the monitoring teams to respond swiftly in case of *** to the lack of suitable methods,results are often compromised in an unconstrained environment because of pose,scale,occlusion and illumination variations in the image of the face of the patient.A novel patch-based multiple local binary patterns(LBP)feature extraction technique is proposed for analyzing human behavior using facial expression *** consists of three-patch[TPLBP]and four-patch LBPs[FPLBP]based feature engineering *** representation is encoded from local patch statistics using these *** and FPLBP capture information that is encoded to find likenesses between adjacent patches of pixels by using short bit strings contrary to pixel-based *** images are transformed into the frequency domain using a discrete cosine transform(DCT).Most discriminant features extracted from coded DCT images are combined to generate a feature *** vector machine(SVM),k-nearest neighbor(KNN),and Naïve Bayes(NB)are used for the classification of facial expressions using selected *** experimentation is performed to analyze human behavior by considering standard extended Cohn Kanade(CK+)and Oulu–CASIA *** demonstrate that the proposed methodology outperforms the other techniques used for comparison.

关键词： Detection expressions gestures analytics pain patch-based local binary descriptor discrete cosine transform healthcare

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Pulsed Corona Discharges and Their Applications in Toxic VOCs Abatement

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Chinese Journal of Chemical Engineering 1999年第4期7卷 351-362页

作者： Muhammad arif malik Salman Akbar malik Applied Chemistry Division PINSTECHPO NiloreIslamabadPakistanDepartment of Biological SciencesQuaid-i-Azam UniversityIslamabadPakistan

Plasma processes are among the emerging technologies for volatile organic compounds (VOCs) abatement[1]. Both thermal plasmas and non-equilibrium plasmas (cold plasmas) are being developed for VOCs cleanup[2,3]. Particularly, pulsed corona discharges offer several advantages over conventional VOCs abatement techniques[4-7]. To optimize the existing technology and to develop it further, there is need to understand the mechanisms involved in plasma chemical reactions. Furthermore, it is strongly desirable to be able to predict the behavior of new VOCs in non-equilibrium plasma environment from the data known for a few representative compounds. Pulsed corona discharge technique is introduced here with citation of relevant literature. Fundamental principles, useful for predicting the VOCs' decomposition behavior, have been worked out from the published literature. Latest developments in the area, targeted to minimize the energy losses, improve the VOCs destruction efficiency and reduce the generation of unwanted organic and inorganic by-products, are presented.

关键词： corona discharges volatile organic compounds air purification water purification nonequilibrium plasma

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Cumulative Capacity Credit Estimation for Renewable Energy Projects

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Journal of Modern Power Systems and Clean Energy 2024年第5期12卷 1643-1651页

作者： arif S.malik Majid A.Al Umairi the Electrical and Computer Engineering Department Sultan Qaboos UniversityAl-Khod 123Oman Oman Electricity Transmission Company MuscatOman Electrical and Computer Engineering Department Sultan Qaboos UniversityAl-Khod 123Oman

This paper presents a novel method for accurately estimating the cumulative capacity credit(CCC)of renewable energy(RE)*** data from the main interconnected system(MIS)of Oman for 2028,where a substantial increase in RE generation is anticipated,the method is introduced alongside the traditional effective load carrying capability(ELCC)*** ensure its robustness,we compare CCC results with ELCC calculations using two distinct standards of reliability criteria:loss of load hours(LOLH)at 24 hour/year and 2.4 hour/*** method consistently gives accurate results,emphasizing its exceptional accuracy,efficiency,and simplicity.A notable feature of the method is its independence from loss of load probability(LOLP)calculations and the iterative procedures associated with analytic-based reliability ***,it relies solely on readily available data such as annual hourly load profiles and hourly generation data from integrated RE *** innovation is of particular significance to prospective independent power producers(IPPs)in the RE sector,offering them a valuable tool for estimating capacity credits without the need for sensitive generating unit forced outage rate data,often restricted by privacy concerns.

关键词： Effective load carrying capability renewable energy resource capacity credit generation system reliability loss of load probability

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Destruction of VOCs by combination of corona discharge and catalysis techniques

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Journal of Environmental Sciences 1998年第3期10卷 21-26页

作者： Muhammad arif malik Jiang Xuan zhen Department of Chemistry University of ZhejiangHangzhou 310027China

The catalytic effect of alumina on the destruction of toluene, benzene, acetone and methanol, in DC pulsed corona discharge reactor was studied. In the presence of alumina the inlet concentration of the VOCs was varied from ~5×10-6 mol/L to ~80×10-6 mol/L, and their decomposition efficiency (conversion %) was found to be 99%-80% for toluene, 99%-97% for benzene, 95%-92% for acetone, and 72%-85% for methanol. Corresponding decomposition in the absence of alumina was 90%-38% for toluene, 89%-57% for benzene, 42%-30% for acetone, and 47%-19% for methanol. Feed gas flow rate was 400 cm 3/min and power reading from DC source was 74 W in all of the experiments. Alumina also shifted the CO/CO 2 ratio in the by products in favor of CO 2. Ozone concentration at the reactor outlet was higher in the presence of alumina. Enhancement in VOCs decomposition by alumina was explained on the basis of higher concentration of ozone and its precursor atomic oxygen O . Decomposition efficiency (conversion %) for individual compounds was found to be inversely proportional to the ionization potential of the compound, under identical conditions. Double DC high voltage sources pulse generator was tested and found to improve VOCs decomposition compared with the conventional single DC high voltage source.

关键词： corona discharge catalysis techniques VOCs decomposition efficiency.

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Deep Neural Network Based Visual Human Fall Detection

Deep Neural Network Based Visual Human Fall Detection

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作者： arif Hussain malik 华南理工大学

学位级别：硕士

Currently,falls represent a significant concern in the healthcare sector due to their potential to cause both physical and mental harm,especially among the elderly *** are many research interests in human activity recognition,especially falls which is the major cause of serious injury for the *** our general public is transforming into a maturing society,it is turning out to be considerably more *** elderly persons fall without assistance and caretakers nearby,they may face catastrophic conditions such as unconsciousness and severe *** the rare event that an isolated old individual has a fall,the individual might be laying down on the ground for quite a while with practically no ***,fall detection systems,which detect a fall automatically very quickly,would be very important for lonely elderly persons as well as play an important part in the health care system for elderly *** part of helping the elderly to lead their normal lives at home,smart monitoring systems,have been proposed that detect falls and give alerts to health care *** this work,we present an instance of this system,which attempts to address the problem of fall detection through Vision-Based Deep Learning(DL)techniques.In this work,we presented an automatic vision-based fall detection system that detects falls by using motion history images to capture temporal features of a video sequence,then extracting spatial features efficiently for classification using a depthwise convolution neural network and bottleneck layer reduces the amount of data that flows through the *** Motion History Image(MHI)is used to represent depth sequence,which is a significant *** construct the MHI,we optimize the condition by applying certain image processing techniques to extract the motion information from the video frames,like frame difference,thresholding,accumulation,and *** enables us to collect more essential data,allowing us

关键词： MHI's CNN Mobile Nets Motion tracking Backpropagation

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Phytopharmacological potential of different species of Morus alba and their bioactive phytochemicals:A review

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Asian Pacific Journal of Tropical Biomedicine 2017年第10期7卷 950-956页

作者： Fahad Hussain Zohaib Rana Hassan Shafique arif malik Zahid Hussain Institute of Molecular Biology and Biotechnology(IMBB) The University of LahoreRaiwind Road55150LahorePakistan Department of Pharmaceutics Faculty of PharmacyUniversiti Teknologi MARAPuncak Alam CampusBandar Puncak Alam42300SelangorMalaysia

Medicinal plants of Moraceae family have been well-recognized traditionally due to their versatile applications in various fields including agriculture, cosmetic and food as well as in pharmaceutical industries. Their biomedical and medicinal importance is reflected from their broad range of pharmacological activities for treatment of various inflammatory conditions, cancer, infectious diseases, and gastrointestinal disorders. The present review was aimed to summarize and critically discuss the biomedical implications of Morus species, their bioactive compounds, and phytochemicals. Bioactivity guided fractionation of these medicinal plants revealed that different types of bioactive phytochemicals and secondary metabolites such as steroids, saponins, alkaloids, glycosides and phenolic compounds including terpenoids, flavonoids, anthocyanins and tannins were present. The critical analysis of the literature revealed that the aqueous, methanolic, and ethanolic extracts of Morus species and their bioactive compounds exhibit remarkable anti-oxidative,anti-diabetic, anti-stress, nephroprotective, antimicrobial, anti-mutagenic, anticancer,anxiolytic, hepatoprotective, anthelmintic, antimicrobial, immune-modulatory and cholesterol lowering effects. Based on the literature review and bioactivity guided investigation of Morus species and their phytomedicinal effects, we anticipate that these herbal products hold excellent potential for future research.

关键词： Moraceae Phytochemicals Pharmacological activities Anti-inflammatory Immunomodulatory Anticancer

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Feature Enhanced Stacked Auto Encoder for Diseases Detection in Brain MRI

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Computers, Materials & Continua 2023年第8期76卷 2551-2570页

作者： Umair Muneer Butt Rimsha arif Sukumar Letchmunan Babur Hayat malik Muhammad Adil Butt School of Computer Sciences Universiti Sains MalaysiaPenang1180Malaysia Department of Computer Science and IT The University of ChenabGujrat50700Pakistan

The detection of brain disease is an essential issue in medical and research *** learning techniques have shown promising results in detecting and diagnosing brain diseases using magnetic resonance imaging(MRI)*** techniques involve training neural networks on large datasets of MRI images,allowing the networks to learn patterns and features indicative of different brain ***,several challenges and limitations still need to be addressed further to improve the accuracy and effectiveness of these *** paper implements a Feature Enhanced Stacked Auto Encoder(FESAE)model to detect brain *** standard stack auto encoder’s results are trivial and not robust enough to boost the system’s ***,the standard Stack Auto Encoder(SAE)is replaced with a Stacked Feature Enhanced Auto Encoder with a feature enhancement function to efficiently and effectively get non-trivial features with less activation energy froman *** proposed model consists of four ***,pre-processing is performed to remove noise,and the greyscale image is converted to Red,Green,and Blue(RGB)to enhance feature details for discriminative feature ***,feature Extraction is performed to extract significant features for classification using DiscreteWavelet Transform(DWT)and ***,classification is performed to classify MRI images into four major classes:Normal,Tumor,Brain Stroke,and Alzheimer’***,the FESAE model outperforms the state-of-theart,machine learning,and deep learning methods such as Artificial Neural Network(ANN),SAE,Random Forest(RF),and Logistic Regression(LR)by achieving a high accuracy of 98.61% on a dataset of 2000 MRI *** proposed model has significant potential for assisting radiologists in diagnosing brain diseases more accurately and improving patient outcomes.

关键词： Brain diseases deep learning feature enhanced stacked auto encoder stack auto encoder

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Efficient hepatoprotective activity of cranberry extract against CCl_4-induced hepatotoxicity in Wistar albino rat model: Down-regulation of liver enzymes and strong antioxidant activity

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Asian Pacific Journal of Tropical Medicine 2017年第11期10卷 1054-1058页

作者： Fahad Hussain arif malik Ujala Ayyaz Hassan Shafique Zohaib Rana Zahid Hussain Institute of Molecular Biology and Biotechnology (IMBB) The University of Lahore Department of Biochemistry University of AgricultureFaisalabad Department of Pharmaceutics Faculty of Pharmacy Universiti Teknologi MARA Puncak Alam Campus

ObjectiveTo investigate the hepatoprotective efficacy of cranberry extract (CBE) against carbon tetrachloride (CCl4)-induced hepatic injury using in-vivo animal *** hepatoprotective efficacy of CBE (200 and 400 mg/kg) was investigated against CCl4 (4 mL/kg)-induced hepatotoxicity, elevated liver enzymes [ALT (alanine aminotransferase), AST (aspartate aminotransferase), and alkaline phosphatase (ALP)], and total protein (TP) contents in the serum. Moreover, CBE-aided antioxidant defense against hepatotoxic insult of CCl4 was measured by evaluating a number of anti-oxidative biomarkers including reduced glutathione (GSH), superoxide dismutase (SOD), catalase (CAT), and malondialdehyde (MDA) in the serum by using spectrophotometric *** showed that the exposure of experimental animals to CCl4 did induce significant hepatotoxicity compared to the non-induced (untreated) group. The oral administration of CBE demonstrated a significant dose-dependent alleviation in the liver enzymes (AST, ALT, and ALP), increased antioxidant defense (GSH, SOD, and CAT), and reduced MDA levels in the serum of treated animals compared to the animals without treatment. The resulting data showed that the administration of CBE decreased the serum levels of ALT, AST, and ALP compared to the CCl4-induced *** resulting data evidenced that CBE exhibits promising hepatoprotective potential against the chemical induced hepatotoxicity, maintains homeostasis in liver enzymes, and can provide significant antioxidant defense against free radicals-induced oxidative stress.

关键词： Hepatotoxicity Carbon tetrachloride Oxidative stress Liver enzymes Cranberry extract Hepatoprotective

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Effect of precut sphincterotomy on post-endoscopic retrograde cholangiopancreatography pancreatitis:A systematic review and meta-analysis

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World Journal of Gastroenterology 2014年第14期20卷 4093-4101页

作者： Abhishek Choudhary Jessica Winn Sameer Siddique Murtaza arif Zainab arif Ghassan M Hammoud Srinivas R Puli jamal A Ibdah Matthew L Bechtold Division of Gastroenterology Department of Internal MedicineUniversity of Missouri-Columbia Division of Gastroenterology and Hepatology University of IllinoisPeoria CampusOSF Saint Francis Medical CenterPeoria

AIM: To conduct a systemic review and meta-analysis to investigate the role of early precut technique. Multiple randomized controlled trails (RCTs) have reported conflicting results of the early precut sphincterotomy.

关键词： Early precut Endoscopic retrograde cholangiopancreatography cannulation Post-endoscopic retrograde cholangiopancreatography pancreatitis Randomized controlled trials Meta-analysis

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