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Unsupervised Color Segmentation with Reconstructed Spatial Weighted Gaussian Mixture Model and Random Color Histogram

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Computers, Materials & Continua 2024年第3期78卷 3323-3348页

作者： Umer Sadiq Khan Zhen Liu Fang Xu Muhib Ullah Khan Lerui Chen Touseef Ahmed Khan muhammad kashif Khattak Yuquan Zhang School of Computer and Information Science Hubei Engineering UniversityXiaogan432000China Institute for AI Industrial Technology Research Hubei Engineering UniversityXiaogan432000China Key Lab of Mountain Hazards and Surface Processes Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu610041China University of Chinese Academy of Sciences Beijing100049China College of Aviation Zhongyuan University of TechnologyZhengzhou451191China Research Center of Digital Mountain and Remote Sensing Application Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu610041China School of Computer Science University of PoonchAzad Jammu Kashmir12350Pakistan School of Computer Science and Information Engineering Hubei UniversityWuhan430062China

Image classification and unsupervised image segmentation can be achieved using the Gaussian mixture *** the Gaussian mixture model enhances the flexibility of image segmentation,it does not reflect spatial information and is sensitive to the segmentation *** this study,we first present an efficient algorithm that incorporates spatial information into the Gaussian mixture model(GMM)without parameter *** proposed model highlights the residual region with considerable information and constructs color ***,we incorporate the content-based color saliency as spatial information in the Gaussian mixture *** segmentation is performed by clustering each pixel into an appropriate component according to the expectation maximization and maximum ***,the random color histogram assigns a unique color to each cluster and creates an attractive color by default for segmentation.A random color histogram serves as an effective tool for data visualization and is instrumental in the creation of generative art,facilitating both analytical and aesthetic *** experiments,we have used the Berkeley segmentation dataset BSDS-500 and Microsoft Research in Cambridge *** the study,the proposed model showcases notable advancements in unsupervised image segmentation,with probabilistic rand index(PRI)values reaching 0.80,BDE scores as low as 12.25 and 12.02,compactness variations at 0.59 and 0.7,and variation of information(VI)reduced to 2.0 and 1.49 for the BSDS-500 and MSRC datasets,respectively,outperforming current leading-edge methods and yielding more precise segmentations.

关键词： Unsupervised segmentation color saliency spatial weighted GMM random color histogram

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铵胁迫下Bacillus aryabhattai NM1-A2脂质代谢的多组学分析

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四川大学学报（自然科学版） 2024年第2期61卷 178-185页

作者：陆钊梅 kashif muhammad 莫淑名杜林方蒋承建四川大学生命科学学院生物资源与生态环境重点实验室成都610064 广西科学院国家非粮生物质能源工程技术研究中心非粮生物质酶解技术国家重点实验室南宁530004

为了探究脂质代谢在抵抗铵胁迫中的具体作用,本研究以一株高耐铵菌株Bacillus aryabhattai NM1-A2为研究对象,通过全基因组和转录组分析挖掘脂质代谢通路和关键基因,利用实时荧光定量PCR对筛选的差异表达基因进行定量分析,并测定丙二醛... 详细信息

为了探究脂质代谢在抵抗铵胁迫中的具体作用,本研究以一株高耐铵菌株Bacillus aryabhattai NM1-A2为研究对象,通过全基因组和转录组分析挖掘脂质代谢通路和关键基因,利用实时荧光定量PCR对筛选的差异表达基因进行定量分析,并测定丙二醛含量和抗氧化酶活性.结果表明,铵胁迫下脂肪酸合成相关基因(accC、fabG和fabF等)均上调表达,脂肪酸降解相关基因(ACSL、fadB和fadN等)大多下调表达,可能导致脂肪酸积累.醛脱氢酶编码基因ALDH上调表达以减少脂质氧化产物的积累.此外,铵胁迫诱导超氧化物歧化酶、过氧化物酶和过氧化氢酶表达水平和活性的提高,以减少活性氧产生和细胞损伤.因此,活跃的脂质代谢和抗氧化酶系统是*** NM1-A2抵抗铵胁迫的重要途径.

关键词：铵胁迫脂质代谢抗氧化组学分析

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Aspect Extraction Approach for Sentiment Analysis Using Keywords

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Computers, Materials & Continua 2023年第3期74卷 6879-6892页

作者： Nafees Ayub muhammad Ramzan Talib muhammad kashif Hanif muhammad Awais Department of Computer Science Government College UniversityFaisalabad38000Pakistan Department of Software Engineering Government College UniversityFaisalabad38000Pakistan

Sentiment Analysis deals with consumer reviews available on blogs,discussion forums,E-commerce websites,andApp *** online reviews about products are also becoming essential for consumers and companies as *** rely on these reviews to make their decisions about products and companies are also very interested in these reviews to judge their products and *** reviews are also a very precious source of information for requirement *** companies and consumers are not very satisfied with the overall sentiment;they like fine-grained knowledge about consumer *** to this,many researchers have developed approaches for aspect-based sentiment *** existing approaches concentrate on explicit aspects to analyze the sentiment,and only a few studies rely on capturing implicit *** paper proposes a Keywords-Based Aspect Extraction method,which captures both explicit and implicit *** also captures opinion words and classifies the sentiment about each *** applied semantic similarity-basedWordNet and SentiWordNet lexicon to improve aspect *** used different collections of customer reviews for experiment purposes,consisting of eight datasets over seven *** compared our approach with other state-of-the-art approaches,including Rule Selection using Greedy Algorithm(RSG),Conditional Random Fields(CRF),Rule-based Extraction(RubE),and Double Propagation(DP).Our results have shown better performance than all of these approaches.

关键词： Sentiment analysis aspect extraction keywords-based machine learning

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Contextual Text Mining Framework for Unstructured Textual Judicial Corpora through Ontologies

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Computer Systems Science & Engineering 2022年第12期43卷 1357-1374页

作者： Zubair Nabi Ramzan Talib muhammad kashif Hanif muhammad Awais Department of Computer Science Government College UniversityFaisalabad38000Pakistan Department of Software Engineering Government College UniversityFaisalabad38000Pakistan

Digitalization has changed the way of information processing, and newtechniques of legal data processing are evolving. Text mining helps to analyze andsearch different court cases available in the form of digital text documents toextract case reasoning and related data. This sort of case processing helps professionals and researchers to refer the previous case with more accuracy in reducedtime. The rapid development of judicial ontologies seems to deliver interestingproblem solving to legal knowledge formalization. Mining context informationthrough ontologies from corpora is a challenging and interesting field. Thisresearch paper presents a three tier contextual text mining framework throughontologies for judicial corpora. This framework comprises on the judicial corpus,text mining processing resources and ontologies for mining contextual text fromcorpora to make text and data mining more reliable and fast. A top-down ontologyconstruction approach has been adopted in this paper. The judicial corpus hasbeen selected with a sufficient dataset to process and evaluate the *** experimental results and evaluations show significant improvements incomparison with the available techniques.

关键词： Natural language processing judicial corpora contextual text mining ontologies information extraction information retrieval

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Effects of Catalysis and Separator Functionalization on High-Energy Lithium–Sulfur Batteries:A Complete Review

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Energy & Environmental Materials 2023年第3期6卷 333-355页

作者： muhammad kashif Aslam Sidra Jamil Shahid Hussain Maowen Xu Key Laboratory of Luminescence Analysis and Molecular Sensing(Southwest University) Ministry of EducationSchool of Materials and EnergySouthwest UniversityChongqing 400715China School of Materials Science and Engineering Jiangsu UniversityZhenjiang 212013China

Lithium–sulfur(Li-S)batteries have the advantages of high theoretical specific capacity(1675 mAh g^(−1)),rich sulfur resources,low production cost,and friendly environment,which makes it one of the most promising next-generation rechargeable energy storage ***,the“shuttle effect”of polysulfide results in the passivation of metal lithium anode,the decrease of battery capacity and coulombic efficiency,and the deterioration of cycle *** realize the commercialization of Li-S batteries,its serious“shuttle effect”needs to be *** commercial separators are ineffective to suppress this effect because of its large pore ***,it is an effective strategy to modify the separator surface and introduce functional modified *** addition to the blocking strategy,the catalysis of polysulfide conversion reaction is also an important factor hindering the migration of *** this review,the principles of separator modification,functionalization,and catalysis in Li-S batteries are ***,the research trend of separator functionalization and polysulfide catalysis in the future is prospected.

关键词： catalysis Li-S batteries polysulfides separator functionalization shuttle effect

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Reservoir characteristics of Datta Formation (Early Jurassic), Marwat-Khisor Ranges, sub-Himalayas, Pakistan

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Petroleum Science 2023年第4期20卷 2026-2044页

作者： muhammad Tariq muhammad kashif Noor Ahmed Zaheen Ullah Jose Nicanor Mendez muhammad Armaghan Faisal Miraj Department of Earth Sciences University of SargodhaSargodha40100Pakistan Department of Geosciences University of BaltistanSkarduPakistan School of Geosciences China University of PetroleumQingdao266580China Institute of Geology University of the PunjabLahorePakistan

The present work has been accomplished to carry out a detailed study of the characteristics of the Early Jurassic Datta Formation of Trans-Indus Ranges, Pakistan. The discovery of Saib well-1 (Gas and condensate discovery from Jurassic limestone) in the study basin takes an active interest in carrying out extensive exploration activities in the same basin. Jurassic rocks especially Datta Sandstone and Samana Suk Limestone are acting as good reservoirs. The study unit consists of variegated sandstone interbedded with siltstone, carbonaceous clay, and shale and coal stringer. For the current work, two stratigraphic sections (Pezu and Abbo Wanda) have been measured. To examine its sedimentology, depositional environment, diagenetic settings, and reservoir characteristics, a detailed study was conducted and various laboratory techniques have been utilized. About 95 rock samples from the bottom to the top of both sections were collected, and 50 rock samples have been selected for thin section analysis and were examined under a polarizing microscope to show their mineralogical composition, diagenesis, and their reservoir characteristics. XRD (X-ray diffraction), Cathodoluminescence (CL), SEM (Scanning electron microscope) with EDS (Energy-dispersive spectroscope), and Core plug porosity and permeability analysis have been used to interpret its chemical and mineralogical composition and its reservoir characteristics, respectively. Based on field observations and thin section analysis, four depositional facies and six lithofacies have been established. The sedimentary structures, depositional facies, and lithofacies indicate that Datta Formation was deposited in a deltaic environment. Compactions, cementation, fracturing and dissolution can greatly affect the quality of reservoir rock. Based on thin section and SEM analysis, large numbers of primary pores, fracture and secondary pores were observed and connectivity between the pores is good, and at some places, these pores

关键词： Reservoir characteristics Jurassic Datta Formation Porosity.permeability Sandstone

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Deep Learning and Machine Learning-Based Model for Conversational Sentiment Classification

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Computers, Materials & Continua 2022年第8期72卷 2323-2339页

作者： Sami Ullah muhammad Ramzan Talib Toqir A.Rana muhammad kashif Hanif muhammad Awais Department of Computer Science Government College University Faisalabad38000Pakistan Department of Computer Science and IT The University of Lahore54590Pakistan School of Computer Sciences Universiti Sains Malaysia(USM)11800PenangMalaysia Department of Software Engineering Government College University Faisalabad38000Pakistan

In the current era of the internet,people use online media for conversation,discussion,chatting,and other similar *** of such material where more than one person is involved has a spate challenge as compared to other text analysis *** are several approaches to identify users’emotions fromthe conversational text for the English language,however regional or low resource languages have been *** Urdu language is one of them and despite being used by millions of users across the globe,with the best of our knowledge there exists no work on dialogue analysis in the Urdu ***,in this paper,we have proposed a model which utilizes deep learning and machine learning approaches for the classification of users’emotions from the *** accomplish this task,we have first created a dataset for the Urdu language with the help of existing English language datasets for dialogue *** that,we have preprocessed the data and selected dialogues with common *** the dataset is prepared,we have used different deep learning and machine learning techniques for the classification of *** have tuned the algorithms according to the Urdu language *** experimental evaluation has shown encouraging results with 67%accuracy for the Urdu dialogue datasets,more than 10,000 dialogues are classified into five emotions i.e.,joy,fear,anger,sadness,and *** believe that this is the first effort for emotion detection from the conversational text in the Urdu language domain.

关键词： Dialogue analysis conversational opinion mining sentiment analysis sentiment analysis in Urdu language deep learning machine learning

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A Deep Learning Approach for Prediction of Protein Secondary Structure

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Computers, Materials & Continua 2022年第8期72卷 3705-3718页

作者： muhammad Zubair muhammad kashif Hanif Eatedal Alabdulkreem Yazeed Ghadi muhammad Irfan Khan muhammad Umer Sarwar Ayesha Hanif Department of Computer Science Government College UniversityFaisalabadPakistan Department of Computer Science College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh 11671Saudi Arabia Department of Software Engineering/Computer Science Al Ain UniversityAbu DhabiUnited Arab Emirates

The secondary structure of a protein is critical for establishing a link between the protein primary and tertiary *** this reason,it is important to design methods for accurate protein secondary structure *** of the existing computational techniques for protein structural and functional prediction are based onmachine learning with *** deep learning architectures have already been applied to tackle protein secondary structure prediction *** this study,deep learning based models,i.e.,convolutional neural network and long short-term memory for protein secondary structure prediction were *** input to proposed models is amino acid sequences which were derived from CulledPDB *** tuning with cross validation was employed to attain best parameters for the proposed *** proposed models enables effective processing of amino acids and attain approximately 87.05%and 87.47%Q3 accuracy of protein secondary structure prediction for convolutional neural network and long short-term memory models,respectively.

关键词： Convolutional neural network machine learning protein secondary structure deep learning long short-term memory protein secondary structure prediction

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Clean label extraction of bioactive compounds from food waste through microwave-assisted extraction technique-A review

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Food Bioscience 2022年第2期46卷 1020-1028页

作者： Tayyaba Alvi Zarnab Asif muhammad kashif Iqbal Khan National Institute of Food Science and Technology University of AgricultureFaisalabad38000PunjabPakistan Department of Food Engineering University of AgricultureFaisalabad38000PunjabPakistan

Clean label and green extraction have attained popularity due to elimination of solvent use and reduction in energy *** this regard,microwave assisted extraction have emerged as a novel process for extraction of bioactive *** process observed to consume less time and energy but have higher extraction ***,the functionality of bioactive compounds has not degraded in this ***,this article explores the potential of microwave-based extraction as a green and ecofriendly ***,it has been coupled with conventional technique(*** distillation,steam diffusion,hydrodistillation,air hydrodistillation,and hydro-diffusion and gravity)to ease the process and increase the *** data highlights the importance of various hybrid techniques(microwave+conventional ones)for the extraction of bioactive compounds from fruit&vegetable waste.

关键词： Ecofriendly Green extraction Sustainable Solvent free extraction Fruit waste

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Modeling of a Sn-Based HTM-Free Perovskite Solar Cell Using a One-Dimensional Solar Cell Capacitance Simulator Tool

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Transactions of Tianjin University 2023年第1期29卷 62-72页

作者： Eli Danladi muhammad kashif Andrew Ichoja Bikimi Bitrus Ayiya Department of Physics Federal University of Health SciencesPMB 145OtukpoBenue StateNigeria School of Electrical Automation and Information Engineering Tianjin UniversityTianjin 300072China Faculty of Engineering and Applied Technology Universal College of LearningPrivate Bag 11022Palmerston NorthNew Zealand

Tin(Sn)-based perovskite solar cells(PSCs)have received increasing attention in the domain of photovoltaics due to their environmentally friendly *** this paper,numerical modeling and simulation of hole transport material(HTM)-free PSC based on methyl ammonium tin triiodide(CH_(3) NH_(3) SnI_(3))was performed using a one-dimensional solar cell capacitance simulator(SCAPS-1D)*** eff ect of perovskite thickness,interface defect density,temperature,and electron transport material(ETM)on the photovoltaic performance of the device was *** to optimization,the device demonstrated a power conversion effi ciency(PCE)of 8.35%,fi ll factor(FF)of 51.93%,short-circuit current density(J_(sc))of 26.36 mA/cm 2,and open circuit voltage(V_(oc))of 0.610 *** the above parameters individually while keeping others constant,the obtained optimal absorber thickness was 1.0μm,the interface defect density was 1010 cm-2,the temperature was 290 K,and the TiO 2 thickness was 0.01μ*** simulating with the optimized data,the fi nal device gave a PCE of 11.03%,FF of 50.78%,J_(sc) of 29.93 mA/cm 2,and V_(oc) of 0.726 *** the optimized and unoptimized metric parameters,an improvement of~32.10%in PCE,~13.41%in J_(sc),and~19.02%in V_(oc) were ***,the results of this study are encouraging and can pave the path for developing highly effi cient PSCs that are cost-eff ective,eco-friendly,and comparable to state-of-the-art.

关键词： Perovskite solar cells Sn-based perovskite absorber TiO_(2) Defect density Temperature HTM-free

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