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Mapping the approaches for investigating Makkah’s architectural vocabularies and AI:A literature review

Frontiers of Architectural Research 2023年第6期12卷 1171-1179页

作者： Wadia ali Albarqawi saeed ali Alburgawi Department of Islamic Architecture Umm Al-Qura UniversityMakkahSaudi Arabia The Custodian of the Two Holy Mosques Institute of Hajj and Umrah Research Umm Al-Qura UniversityMakkahSaudi Arabia

Makkah has developed unique architectural vocabularies for *** Roushan,Qalalib,Kharja,and Shwabir responded to topography,climate conditions,and socio-cultural ***,demolishing heritagebuildings to expand theHolyMosque has led to thedisappearance of many traditional architectural ***,the imposition ofmodern architectural elements bymodernity increased a feeling of discontinuitywith the *** addition,globalization has branded Makkah as a city of skyscrapers and high-rise *** have emerged since Saudi Arabia announced its Vision 2030,necessitating creative architectural *** the literature on the architecture of Makkah introduced varied approaches to developing traditional architectural vocabularies,the results were far from *** studies assumed that traditional elements should shape the future of architecture in *** field of architecture suggests analyzing physical forms in reality,while the philosophical attempt proposes exploring them in *** and virtuality must be dynamic in space as methods for innovation;this space should be detached from architecture to challenge physical norms and separated from philosophy to promote *** paper maps the literature to evaluate the approaches that examine the architecture of *** suggests a third space,outside architecture,and philosophy,utilizing AI to generate Makkah’s architectural *** aim is to employ technology,i.e.,AI,not to document but to generate architectural vocabulary based on rising potentials and differentiations,which are the bases of innovation,hence establishing continuity with the past to shape the future.

关键词： Makkah Architecture Identity AI Generative

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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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Finger Vein Authentication Based on Wavelet Scattering Networks

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Computers, Materials & Continua 2022年第8期72卷 3369-3383页

作者： Amjad Rehman Majid Harouni Maedeh Omidiravesh Suliman Mohamed Fati saeed ali Bahaj Artificial Intelligence&Data Analytics Lab CCIS Prince Sultan UniversityRiyadh11586Saudi Arabia Department of Computer Engineering Dolatabad BranchIslamic Azad UniversityIsfahanIran Faculty of Computer Engineering Najafabad BranchIslamic Azad UniversityIsfahanIran MIS Department College of Business Administration Prince Sattam bin Abdulaziz UniversityAlkharj11942Saudi Arabia

Biometric-based authentication systems have attracted more attention than traditional authentication techniques such as passwords in the last two *** biometrics such as fingerprint,palm,iris,palm vein and finger vein and other biometrics have been *** of the challenges in biometrics is physical *** of finger vein is of the biometrics least exposed to physical *** methods have been proposed for authentication with the help of this biometric that suffer from weaknesses such as high computational complexity and low identification *** paper presents a novel method of scattering wavelet-based identity *** wavelet extracts image features from Gabor wavelet filters in a structure similar to convolutional neural *** distinguishes this algorithm from other popular feature extraction methods such as deep learning methods,filter-based methods,statistical methods,etc.,is that this algorithm has very high skill and accuracy in differentiating similar images but belongs to different classes,even when the image is subject to serious damage such as noise,angle changes or pixel location,this descriptor still generates feature vectors in away thatminimizes classifier *** improves classification and *** proposed method has been evaluated using two databases Finger Vein USM(FV-USM)and Homologous Multimodal biometrics Traits(SDUMLA-HMT).In addition to having reasonable computational complexity,it has recorded excellent identification rates in noise,rotation,and transmission *** best,it has a 98.2%identification rate for the SDUMLA-HMT database and a 96.1%identification rate for the FV-USM database.

关键词： Biometrics finger veins wavelet scattering vein authentication disaster risk reduction

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Implication of Oil Trade in Sino-sudanese Relation,2000-2015

Implication of Oil Trade in Sino-sudanese Relation,2000-2015

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作者： Salma ali saeed Abdallah 山东大学

学位级别：硕士

Without any question,China’s global out-play,particularly her incursion into the African continent dominates as one of the most discussed topics in 21st-century International *** and more,China’s built bilateral relationships continue to generate attention,fame,and interestingly *** Africa,China’s grown engagements with Sudan,particularly the oil dealings presents one of the most controversial,problematic,and attention-drawing bilateral engagement of the 21st century ridden with many views and especially assumptions that leave many questions to be *** these quick assumptions,it is imperative to understand the true dynamics and implications of the oil trade aspect of these relations to both parties,especially Sudan the obvious weak ***,this research seeks to probe into the real implications and conditions of the oil trade to the overall Sino-Sudanese *** view of this,this research employs the interdependence theory coupled with the qualitative method of research,while drawing its sources from books,chapters,journals,news,and online sources to understand this unique South-South *** finds that notwithstanding the quick assumptions,there is more to the Sino-Sudanese oil *** being built around a global interdependence structure and developed mutual vulnerabilities which have forced Sino-Sudanese oil dealings,indications point that the oil dealings have been not only negative but also massively productive with multi-sectoral implications for both China and particularly Sudan albeit the full potentials being inhibited by a number of man-made and natural *** all,it holds the potentials of aiding or ruining the wider Sino-Sudan ***,towards achieving an improved oil engagement,this thesis enjoins a reform of the core structures and workings in the Sudanese oil industry detailing on strengthening the mechanisms of accountability,monitoring and regulation,while mak

关键词：石油贸易中苏关系经济增长

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IoMT Enabled Melanoma Detection Using Improved Region Growing Lesion Boundary Extraction

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Computers, Materials & Continua 2022年第6期71卷 6219-6237页

作者： Tanzila Saba Rabia Javed Mohd Shafry Mohd Rahim Amjad Rehman saeed ali Bahaj Artificial Intelligence&Data Analytics Lab CCIS Prince Sultan UniversityRiyadh11586Saudi Arabia School of Computing Faculty of EngineeringUniversiti Teknologi MalaysiaSkudai81310Johor BahruMalaysia Department of Computer Science Lahore College for Women UniversityLahore54000Pakistan MIS Department College of Business Administration Prince Sattam bin Abdulaziz UniversityAlkharj11942Saudi Arabia

The Internet ofMedical Things(IoMT)and cloud-based healthcare applications,services are beneficial for better decision-making in recent *** is a deadly cancer with a highermortality rate than other skin cancer types such as basal cell,squamous cell,andMerkel ***,detection and treatment at an early stage can result in a higher chance of *** classical methods of detection are expensive and ***,they rely on a trained practitioner’s level,and the availability of the needed equipment is essential for the early detection of *** current improvement in computer-aided systems is providing very encouraging results in terms of precision and *** this article,we propose an improved region growing technique for efficient extraction of the lesion *** analysis and detection ofMelanoma are helpful for the expert *** CNN features are extracted using the pre-trained VGG-19 deep learning *** the end,the selected features are classified by *** proposed technique is gauged on openly accessible two datasets ISIC 2017 and *** the evaluation of our proposed framework,qualitative and quantitative experiments are *** suggested segmentation method has provided encouraging statistical results of Jaccard index 0.94,accuracy 95.7%on ISIC 2017,and Jaccard index 0.91,accuracy 93.3%on the PH2 *** results are notably better than the results of prevalent methods available on the same *** machine learning SVMclassifier executes significantly well on the suggested feature vector,and the comparative analysis is carried out with existing methods in terms of *** proposed method detects and classifies melanoma far better than other ***,our framework gained promising results in both segmentation and classification phases.

关键词： Deep features extraction lesion segmentation melanoma detection SVM VGG-19 healthcare IoMT public health

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Efficient Facial Recognition Authentication Using Edge and Density Variant Sketch Generator

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Computers, Materials & Continua 2022年第1期70卷 505-521页

作者： Summra Saleem M.Usman Ghani Khan Tanzila Saba Ibrahim Abunadi Amjad Rehman saeed ali Bahaj Department of Computer Science UETLahorePakistan Al-Khwarizmi Institute of Computer Science UETLahorePakistan Artificial Intelligence&Data Analytics Lab CCIS Prince Sultan University Riyadh11586Saudi Arabia MIS Department College of Business Administration Prince Sattam Bin Abdulaziz UniversityAlkharjSaudi Arabia

Image translation plays a significant role in realistic image synthesis,entertainment tasks such as editing and colorization,and security including personal *** Edge GAN,the major contribution is attribute guided vector that enables high visual quality content *** research study proposes automatic face image realism from freehand sketches based on Edge *** propose a density variant image synthesis model,allowing the input sketch to encompass face features with minute *** density level is projected into non-latent space,having a linear controlled function *** assists the user to appropriately devise the variant densities of facial sketches and image *** data set of Large Scale CelebFaces Attributes(ClebA),Labelled Faces in theWild(LFWH),Chinese University of Hong Kong(CHUK),and self-generated Asian images are used to evaluate the proposed *** solution is validated to have the capability for generating realistic face images through quantitative and qualitative results and human evaluation.

关键词： Edge generator density variant sketch generator face translation recognition residual block

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Distinctive clinical and laboratory features of COVID-19 and H1N1 influenza infections among hospitalized pediatric patients

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World Journal of Pediatrics 2021年第3期17卷 272-279页

作者： ali Alsuheel Asseri Ayed A.Shati Saleh M.Al-Qahtani Ibrahim A.Alzaydani Ahmed A.Al-Jarie Mohammed J.Alaliani Abdelwahid saeed ali Department of Child Health College of MedicineKing Khalid UniversityAbhaSaudi Arabia Department of Pediatrics Abha Maternity and Children HospitalAbhaSaudi Arabia General Directorate of Health Affairs Infection Prevention and Control AdministrationAseer RegionMinistry of HealthAbhaSaudi Arabia Department of Microbiology and Clinical Parasitology College of MedicineKing Khalid UniversityAbhaSaudi Arabia

Background It had been documented in many studies that pediatric coronavirus disease 2019(COVID-19)is characterized by low infectivity rates,low mortalities,and benign disease *** the other hand,influenza type A viruses are recognized to cause severe and fatal infections in children populations *** study is aimed to compare the clinical and laboratory characteristics of COVID-19 and H1N1 influenza *** A retrospective study comprising 107 children hospitalized at Abha Maternity and Children Hospital,Southern region of Saudi Arabia,with laboratory-confirmed COVID-19 and H1N1 influenza infections was carried out.A complete follow-up for all patients from the hospital admission until discharge or death was *** clinical data and laboratory parameters for these patients were collected from the medical records of the *** Out of the total enrolled patients,73(68.2%)were diagnosed with COVID-19,and 34(31.8%)were diagnosed with H1N1 *** median age is 12 months for COVID-19 patients and 36 months for influenza patients.A relatively higher number of patients with influenza had a fever and respiratory symptoms than COVID-19 *** contrast,gastrointestinal symptoms were observed in a higher number of COVID-19 patients than in influenza patients.A statistically significant increase in white cell counts is noted in COVID-19 but not in influenza patients(Palization between COVID-19 and influenza ***,the total intensive care unit length of stay was longer for influenza compared to COVID-19 *** A considerable number of children infected with COVID-19 and H1N1 influenza were noted and reported in this *** were no significant variations in the severity of the symptomatology and laboratory findings between the two groups of *** differences between these patients in some hospitalization facto

关键词： Children Coronavirus disease 2019 H1N1 influenza.Laboratory indices Symptoms

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Artificial Intelligence and Internet of Things Enabled Intelligent Framework for Active and Healthy Living

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Computers, Materials & Continua 2023年第5期75卷 3833-3848页

作者： saeed ali Alsareii Mohsin Raza Abdulrahman Manaa Alamri Mansour Yousef AlAsmari Muhammad Irfan Hasan Raza Muhammad Awais Department of Surgery College of MedicineNajran University Saudi ArabiaNajran61441Saudi Arabia Department of Computer Science Edge Hill UniversitySt Helens RdOrmskirkL394QPUnited Kingdom Electrical Engineering Department College of EngineeringNajran University Saudi ArabiaNajran61441Saudi Arabia Department of Electrical Engineering Hamdard UniversityIslamabadPakistan

Obesity poses several challenges to healthcare and the well-being of *** can be linked to several life-threatening *** is a viable option in some instances to reduce obesity-related risks and enable weight ***-of-the-art technologies have the potential for long-term benefits in post-surgery *** this work,an Internet of Things(IoT)framework is proposed to effectively communicate the daily living data and exercise routine of surgery patients and patients with excessive *** proposed IoT framework aims to enable seamless communications from wearable sensors and body networks to the cloud to create an accurate profile of the *** also attempts to automate the data analysis and represent the facts about a *** IoT framework proposes a co-channel interference avoidance mechanism and the ability to communicate higher activity data with minimal impact on the bandwidth requirements of the *** proposed IoT framework also benefits from machine learning based activity classification systems,with relatively high accuracy,which allow the communicated data to be translated into meaningful information.

关键词： Artificial intelligence healthcare obesity Internet of Things machine learning physical activity classification activity monitoring

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Kinetic Study for Adsorption of Heavy Metals on Zeolite

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Journal of Harbin Institute of Technology(New Series) 2022年第1期29卷 70-76页

作者： Kow Jing Yang Lim Lee Fong Chan Mieow Kee Aseel ali saeed Centre for Water Research Faculty of EngineeringBuilt Environment and Information TechnologySEGi UniversityPetaling JayaSelangor 47810Malaysia

Heavy metals⁃polluted water has negative impact on the *** Malaysia,minimum discharge limit for Cu^(2+)and Zn^(2+)are 1 mg/L and 2 mg/L,*** is a highly porous adsorbent and its performance is affected by various factors,including contact time and ***,the objective of this study is to identify an ideal operating condition to treat Cu^(2+)and Zn^(2+)solutions up to the allowable discharge limit,by considering the pH and contact time *** kinetic models were studied to identify the adsorption mechanism of the heavy metal removal *** solute batch adsorption experiment was conducted within pH 3-11 from 30 to 150 *** showed that hydration enthalpy(ΔHhyd)governed the selectivity of heavy metals,where a maximum of 90.87%Zn^(2+)(ΔH_(hyd)=-1955 kJ/mol)and 82.15%Cu^(2+)(ΔH_(hyd)=-2010 kJ/mol)removals were found at pH≥*** pH adjustment,selectivity towards Cu^(2+)was higher compared with Zn^(2+)due to the size of hydration radii,where Cu^(2+)is 0.11Åsmaller than Zn^(2+).By considering both pH and contact time factors,this study shows that by adjusting the pH of Zn^(2+)solutions to a minimum pH value of 7,the contact time required to achieve maximum Zn^(2+)removal rate was 90%,which can be achieved within 60 ***,zeolite performed better in Cu^(2+)removal without any pH adjustment where a maximum of 94%was achieved at 120 *** concentration of 0.523 mg/L Cu^(2+)and 0.981 mg/L Zn^(2+)were obtained in this *** study showed that Ritchie’s equation predicted Cu^(2+)adsorption the best,while Zn^(2+)adsorption could be represented by Elovich *** suggested that the adsorption on the activate site governed Cu^(2+)and Zn^(2+)removal ***,future work should focus on modifying zeolite surface to improve the adsorptive performance.

关键词： zeolite heavy metal removal pH contact time

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High Resolution and Wide Dynamic Range Pressure Sensor Based on Two-Dimensional Photonic Crystal

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Photonic Sensors 2012年第1期2卷 92-96页

作者： saeed OLYAEE ali Asghar DEHGHANI Nano-photonics and Optoelectronics Research Laboratory (NORLab) Faculty of Electrical and Computer Engineering Shahid Rajaee Teacher Training University (SRTTU) Tehran Iran

The authors present a new design of high resolution and wide dynamic range photonic crystal pressure sensor. This sensor is based on two-dimensional photonic crystal with square array of silicon rods surrounded by air. The sensor consists of a photonic crystal waveguide which is coupled to a photonic crystal nanocavity. The waveguide is configured by removing one row of Si rods and nanocavity is formed by modifying the radius of one Si rod. The sensor is designed for 1300 nm-1400 nm wavelengths. Simulation results show that resonant wavelength of nanocavity is linearly shifted to larger wavelengths by increasing the pressure. The designed sensor has a linear behavior between 0.1 GPa to 10 GPa of applied pressure and 8 nrrdGPa of pressure sensitivity.

关键词： Photonic crystal waveguide nanocavity pressure sensor

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