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Analyzing the Impact of Scene Transitions on Indoor Camera Localization through Scene Change Detection in Real-Time

Intelligent Automation & Soft Computing 2024年第3期39卷 417-436页

作者： Muhammad S.Alam farhan B.mohamed Ali Selamat Faruk Ahmed AKM B.Hossain Department of Emergent Computing School of ComputingUniversiti Teknologi MalaysiaJohor Bahru81310Malaysia Malaysia-Japan International Institute of Technology(MJIIT) Universiti Teknologi MalaysiaKuala Lumpur54100Malaysia Media and Game Innovation Centre of Excellence(MaGICX) Universiti Teknologi MalaysiaJohor Bahru81310Malaysia Department of Engineering Technology University of MemphisMemphisTN38152USA Department of Computer Science and Artificial Intelligence College of Computing and Information TechnologyUniversity of BishaBisha61922Saudi Arabia School of Computing Faculty of EngineeringUniversiti Teknologi MalaysiaJohor Bahru81310Malaysia Department of Information System and Cyber Security College of Computing and Information TechnologyUniversity of BishaBisha61922Saudi Arabia

Real-time indoor camera localization is a significant problem in indoor robot navigation and surveillance *** scene can change during the image sequence and plays a vital role in the localization performance of robotic applications in terms of accuracy and *** research proposed a real-time indoor camera localization system based on a recurrent neural network that detects scene change during the image *** annotated image dataset trains the proposed system and predicts the camera pose in *** system mainly improved the localization performance of indoor cameras by more accurately predicting the camera *** also recognizes the scene changes during the sequence and evaluates the effects of these *** system achieved high accuracy and real-time *** scene change detection process was performed using visual rhythm and the proposed recurrent deep architecture,which performed camera pose prediction and scene change impact ***,this study proposed a novel real-time localization system for indoor cameras that detects scene changes and shows how they affect localization performance.

关键词： Camera pose estimation indoor camera localization real-time localization scene change detection simultaneous localization and mapping(SLAM)

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Detection of Copy-Move Forgery in Digital Images Using Singular Value Decomposition

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Computers, Materials & Continua 2023年第2期74卷 4135-4147页

作者： Zaid Nidhal Khudhair farhan mohamed Amjad Rehman Tanzila Saba Saeed Ali bahaj Faculty of Engineering School of ComputingUniversity Technology of MalaysiaJohar BahruMalaysia UTM-IRDA MaGICX Institute of Human Centered EngineeringUniversiti Teknologi MalaysiaMalaysia Artificial Intelligence&Data Analytics Lab CCIS Prince Sultan University Riyadh Saudi Arabia Computer Techniques Engineering Department Faculty of Information TechnologyImam Ja’afar Al-Sadiq UniversityBaghdadIraq

This paper presents an improved approach for detecting copy-move forgery based on singular value decomposition(SVD).It is a block-based method where the image is scanned from left to right and top to down by a sliding window with a determined *** each step,the SVD is ***,the diagonal matrix’s maximum value(norm)is selected(representing the scaling factor for SVD and a fixed value for each set of matrix elements even when rotating thematrix or scaled).Then,the similar norms are grouped,and each leading group is separated into many subgroups(elements of each subgroup are neighbors)according to 8-adjacency(the subgroups for each leading group must be far from others by a specific distance).After that,a weight is assigned for each subgroup to classify the image as forgery or ***,the F1 score of the proposed system is measured,reaching 99.1%.This approach is robust against rotation,scaling,noisy images,and illumination *** is compared with other similarmethods and presents very promised results.

关键词： Forgery image forensic image processing region duplication SVD transformation technological development

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A Novel Hybrid Ensemble Learning Approach for Enhancing Accuracy and Sustainability in Wind Power Forecasting

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Computers, Materials & Continua 2024年第5期79卷 3373-3395页

作者： farhan Ullah Xuexia Zhang Mansoor Khan Muhammad Abid Abdullah mohamed School of Electrical Engineering Southwest Jiaotong UniversityChengdu611756China College of Intelligent Manufacturing and Control Engineering Qilu Institute of TechnologyJinan250200China College of Aerospace and Civil Engineering Harbin Engineering UniversityHarbin150001China Research Centre Future University in EgyptNew Cairo11835Egypt

Accurate wind power forecasting is critical for system integration and stability as renewable energy reliance *** approaches frequently struggle with complex data and non-linear connections. This article presentsa novel approach for hybrid ensemble learning that is based on rigorous requirements engineering *** approach finds significant parameters influencing forecasting accuracy by evaluating real-time Modern-EraRetrospective Analysis for Research and Applications (MERRA2) data from several European Wind farms usingin-depth stakeholder research and requirements elicitation. Ensemble learning is used to develop a robust model,while a temporal convolutional network handles time-series complexities and data gaps. The ensemble-temporalneural network is enhanced by providing different input parameters including training layers, hidden and dropoutlayers along with activation and loss functions. The proposed framework is further analyzed by comparing stateof-the-art forecasting models in terms of Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE),respectively. The energy efficiency performance indicators showed that the proposed model demonstrates errorreduction percentages of approximately 16.67%, 28.57%, and 81.92% for MAE, and 38.46%, 17.65%, and 90.78%for RMSE for MERRAWind farms 1, 2, and 3, respectively, compared to other existingmethods. These quantitativeresults show the effectiveness of our proposed model with MAE values ranging from 0.0010 to 0.0156 and RMSEvalues ranging from 0.0014 to 0.0174. This work highlights the effectiveness of requirements engineering in windpower forecasting, leading to enhanced forecast accuracy and grid stability, ultimately paving the way for moresustainable energy solutions.

关键词： Ensemble learning machine learning real-time data analysis stakeholder analysis temporal convolutional network wind power forecasting

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RNA-seq reveals mechanisms of SlMX1 for enhanced carotenoids and terpenoids accumulation along with stress resistance in tomato

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Science Bulletin 2017年第7期62卷 476-485页

作者： mohamed Ewas Yangqiang Gao farhan Ali Elsayed M. Nishawy Raheel Shahzad Hizar Subthain mohamed Amar Cathie Martin Jie Luo National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan) College of Life Sdence and Technology Huazhong Agricultural University Wuhan 430070 China Egyptian Deserts Gene Bank (EDGB) Genetic Resources Department Cairo Egypt Deserts Research Center (DRC) Cairo Egypt John lnnes Centre Norwich Research Park Colney Norwich NR4 7UH UK

Improving nutritional fruit quality and impacts important agro-traits such as biotic or abiotic stresses are extremely important for human *** previous study reported that manipulation of Sl MX1 gene enhanced carotenoids accumulation and drought resistance in ***,RNA-Seq analysis proved to be a very useful tool to provide insights into the regulatory mechanisms of Sl MX1 involved in stress resistance and enhanced secondary *** analysis showed that overexpression of Sl MX1 results in substantially increased broad-spectrum tolerance to a wide-range of abiotic and biotic(fungus,bacteria,virus and insects) stresses in *** research appears to be of remarkable interest because enhanced terpenoids content has been achieved by increasing trichome *** addition,we reported two types of trichome which seems to be aberrant types in *** study unravels the mechanism of regulation of Sl MX1,which simultaneously modulates resistance and metabolic processes through regulating key structural and regulatory genes of the corresponding pathways.

关键词： Tomato SlMX1 Resistance Carotenoids Terpenoids Mechanism RNA Seq

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Soil erosion assessment by RUSLE model using remote sensing and GIS in an arid zone

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International Journal of Digital Earth 2023年第1期16卷 3105-3124页

作者： Pingheng Li Aqil Tariq Qingting Li Bushra Ghaffar Muhammad farhan Ahsan Jamil Walid Soufan Ayman El Sabagh mohamed Freeshah Business School Huanggang Normal UniversityHuanggangPeople’s Republic of China Department of Wildlife Fisheries and AquacultureMississippi State UniversityMississippi StateMSUSA State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanPeople’s Republic of China Airborne Remote Sensing Center Aerospace Information Research InstituteChinese Academy of SciencesBeijingPeople’s Republic of China Department of Environmental Science Faculty of SciencesInternational Islamic UniversityIslamabadPakistan School of Earth Sciences and Engineering Hohai UniversityNanjingPeople’s Republic of China Department of Plant and Environmental Sciences New Mexico State UniversityLas CrucesNMUSA Plant Production Department College of Food and Agriculture SciencesKing Saud UniversityRiyadhSaudi Arabia Department of Agronomy Faculty of AgricultureKafrelsheikh UniversityKafrelsheikhEgypt Geomatics Engineering Department Benha UniversityBanh1Egypt School of Geodesy and Geomatics Wuhan UniversityWuhanPeople’s Republic of China

In this research,we used the Revised Universal Soil Loss Equation(RUSLE)and Geographical Information System(GIS)to predict the annual rate of soil loss in the District Chakwal of *** parameters of the RUSLE model were estimated using remote sensing data,and the erosion probability zones were determined using *** estimated length slope(LS),crop management(C),rainfall erosivity(R),soil erodibility(K),and support practice(P)range from 0-68,227,0-66.61%,0-0.58,495.99-648.68 MJ/***^(-1).year^(-1),0.15-0.25 MJ/***^(-1).year^(-1),and 1 *** results indicate that the estimated total annual potential soi loss of approximately 4,67,064.25 ***^(-1).year^(-1) is comparable with the measured'sediment ioss of 11,631 ***^(-1).year^(-1) during the water year *** predicted soil erosion rate due to an increase in agricultural area is approximately 164,249.31 ***^(-1).year^(-1).In this study,we also used,Landsat imagery to rapidly achieve actual land use ***,38.i3%of the region was threatened by very high soil erosion,where the quantity of soil erosion ranged from 365487.35 ***^(-1).year^(-1),Integrating GIS and remote sensing with the RUSLE model helped researchers achieve their final ***-use planners and decision-makers use the result's spatial distribution of soil erosion in District Chakwal for conservation and management planning.

关键词： RUSLE Landsat land management DEM soil erosion

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Manipulation of SlMXl for enhanced carotenoids accumulation and drought resistance in tomato

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Science Bulletin 2016年第18期61卷 1413-1418页

作者： mohamed Ewas Yanqiang Gao Shouchuang Wang Xianqing Liu Hongyan Zhang Elsayed M. E. Nishawy farhan Aii Raheel Shahzad Khurram Ziaf Hizar Subthain Cathie Martin Jie Luo National Key Laboratory of Crop Genetic Improvement andNational Center of Plant Gene Research (Wuhan) Huazhong Agricultural University Wuhan 430070 China College of Life Science and Technology Huazhong Agricultural University Wuhan 430070 China Key Laboratory of Horticultural Plant Biology Ministry of Education Huazhong Agricultural University Wuhan 430070China John Innes Centre Norwich Research Park Colney Norwich NR4 7UH UK

Plants are the ultimate source of nutrients in the human diet. To ensure adequate availability of high quality food for an increasing world population, traits including improved tolerance of stresses and nutrient levels need to be selected in crops, both individually and in combination. Here we report the identification of SIMX1 encoding a MIXTA-like MYB transcription factor in tomato that simultaneously modulates drought resistance and metabolic processes through regulating key structural and regulatory genes of the corre- sponding pathways. Over-expression of SIMX1 results in substantially increased drought tolerance and improved fruit quality, while knocking down SIMX1 resulted in the opposite phenotypes. Our study indicates an effective way with multiplebeneficial traits by genetic engineering of a single regulatory gene and can be a novel approach to breeding crops.

关键词： Tomato Trichome SlMXI . Abioticstress Nutrient level

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Virtual orthopedic assessment:Main principles and specific regions

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World Journal of Orthopedics 2021年第9期12卷 672-684页

作者： Khaled M Emara Ramy Ahmed Diab mohamed Amr Shady Abdelghaffar Mahmoud mohamed Nour Ahmed Abdelsalam Mahmoud Ahmed Elshobaky Mona farhan Mostafa Gemeah Ahmed K Emara Orthopedic Surgery Department Ain Shams UniversityCairo 11566Egypt Orthopedic Surgery Department Bank Ahly HospitalCairo 11566Egypt Department of Health Care Innovation Arizona State UniversityArizonaAZ 85287United States Department of Orthopedic Surgery Cleveland ClinicOhioNY 44195United States

Telemedicine was originally created as a way to treat patients who were located in remote places far away from local health facilities or in areas with shortages of medical *** is still used today to address those problems,and is increasingly becoming a tool for convenient medical *** the emergence of pandemics,telemedicine became almost a mandatory and valuable option for continuing to provide medical care in various *** the threat of pandemic progress has continued for months and may continue for years,it is essential to validate existing tools to maintain clinical assessment and patient treatment to avoid negative consequences of the lack of medical ***,the establishment of a virtual assessment technique that can be conducted effectively is of outmost importance as a way of adapting to the current *** study evaluated the role of telemedicine in the assessment of various orthopedic pathologies by means of a systematic virtual evaluation.

关键词： Telemedicine Virtual assessment Orthopedics Epidemic diseases

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Time to integrate“One Health Approach”into nanoplastic research

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Eco-Environment & Health 2023年第1期2卷 18-20页

作者： mohamed Helal Nanna B.Hartmann farhan R.Khan Elvis Genbo Xu Department of Biology University of Southern DenmarkOdense5230Denmark Department of Environmental and Resource Engineering Technical University of Denmark2800 Kgs.LyngbyDenmark Norwegian Research Centre(NORCE) Nygårdsporten 112NO-5008BergenNorway

Large-scale production of plastics began in the 1950s followed by an onset of exponential growth,leading to its current widespread and dominant *** this,no holistic risk assessment has yet been made on the health and environmental impacts of plastics,their degradation products,or their constituent *** entering the environment,plastics undergo structural,chemical,and functional transformations,leading to the creation of microplastics and nanoplastics[1,2,3].Environmental exposure to microplastics and nanoplastics becomes inevitable,causing direct human dietary exposure.

关键词： plastics integrate spite

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Classification of Gastric Lesions Using Gabor Block Local Binary Patterns

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Computer Systems Science & Engineering 2023年第9期46卷 4007-4022页

作者： Muhammad Tahir farhan Riaz Imran Usman mohamed Ibrahim Habib College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia College of Electrical and Mechanical Engineering National University of Sciences and TechnologyIslamabadPakistan Department of Computer Science National University of Sciences and TechnologyBalochistan CampusQuettaPakistan

The identification of cancer tissues in Gastroenterology imaging poses novel challenges to the computer vision community in designing generic decision support *** generic nature demands the image descriptors to be invariant to illumination gradients,scaling,homogeneous illumination,and *** this article,we devise a novel feature extraction methodology,which explores the effectiveness of Gabor filters coupled with Block Local Binary Patterns in designing such *** effectively exploit the illumination invariance properties of Block Local Binary Patterns and the inherent capability of convolutional neural networks to construct novel rotation,scale and illumination invariant *** invariance characteristics of the proposed Gabor Block Local Binary Patterns(GBLBP)are demonstrated using a publicly available texture *** use the proposed feature extraction methodology to extract texture features from Chromoendoscopy(CH)images for the classification of cancer *** proposed feature set is later used in conjuncture with convolutional neural networks to classify the CH *** proposed convolutional neural network is a shallow network comprising of fewer parameters in contrast to other state-of-the-art networks exhibiting millions of parameters required for effective *** obtained results reveal that the proposed GBLBP performs favorably to several other state-of-the-art methods including both hand crafted and convolutional neural networks-based features.

关键词： Texture analysis Gabor filters gastroenterology imaging convolutional neural networks block local binary patterns

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