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Efficient Classification of Remote Sensing Images Using Two Convolution Channels and SVM

Computers, Materials & Continua 2022年第7期72卷 739-753页

作者： khalid A.alAfandy Hicham Omara Hala S.El-Sayed Mohammed Baz Mohamed Lazaar Osama S.Faragallah Mohammed al Achhab ENSA Abdelmalek Essaadi UniversityTetouan 93002Morocco FS Abdelmalek Essaadi UniversityTetouan 93002Morocco Department of Electrical Engineering Faculty of EngineeringMenoufia UniversityShebin El-Kom 32511Egypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia ENSIAS Mohammed V University in Rabat 10000Morocco Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia

Remote sensing image processing engaged researchers’attentiveness in recent years,especially *** main problem in classification is the ratio of the correct predictions after *** extraction is the foremost important step to build high-performance image *** convolution neural networks can extract images’features that significantly improve the image classifiers’*** paper proposes two efficient approaches for remote sensing images classification that utilizes the concatenation of two convolution channels’outputs as a features extraction using two classic convolution models;these convolution models are the ResNet 50 and the DenseNet *** elicited features have been used by the fully connected neural network classifier and support vector machine classifier as input *** results of the proposed methods are compared with other antecedent approaches in the same experimental *** is based on learning curves plotted during the training of the proposed classifier that is based on a fully connected neural network and measuring the overall accuracy for the both proposed *** proposed classifiers are used with their trained weights to predict a big remote sensing scene’s classes for a developed *** results ensure that,compared with the other traditional classifiers,the proposed classifiers are further accurate.

关键词： Remote sensing images deep learning ResNet DenseNet SVM

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A New Medical Image Enhancement algorithm Based on Fractional Calculus

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Computers, Materials & Continua 2021年第8期68卷 1467-1483页

作者： Hamid A.Jalab Rabha W.Ibrahim ali M.Hasan Faten khalid Karim ala’a R.al-Shamasneh Dumitru Baleanu Faculty of Computer Science and Information Technology University MalayaKuala Lumpur50603Malaysia Nonlinear Dynamics Research Center(NDRC) Ajman UniversityAjman346UAE College of Medicine Al-Nahrain UniversityBaghdad10001Iraq Department of Computer Science College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Mathematics Cankaya UniversityBalgatAnkara06530Turkey Institute of Space Sciences Magurele-BucharestR76900Romania Department of Medical Research China Medical UniversityTaichung40402Taiwan

The enhancement of medical images is a challenging research task due to the unforeseeable variation in the quality of the captured *** captured images may present with low contrast and low visibility,which might inuence the accuracy of the diagnosis *** overcome this problem,this paper presents a new fractional integral entropy(FITE)that estimates the unforeseeable probabilities of image pixels,posing as the main contribution of the *** proposed model dynamically enhances the image based on the image *** main advantage of FITE lies in its capability to enhance the low contrast intensities through pixels’***,the pixel probability of the fractional power is utilized to extract the illumination value from the pixels of the ***,the contrast of the image is then adjusted to enhance the regions with low ***,the fractional integral entropy approach is implemented to enhance the low visibility contents from the input *** were conducted on brain MRI,lungs CT,and kidney MRI scans datasets of different image qualities to show that the proposed model is robust and can withstand dramatic variations in *** obtained comparative results show that the proposed image enhancement model achieves the best BRISQUE and NIQE ***,this model improves the details of brain MRI,lungs CT,and kidney MRI scans,and could therefore potentially help the medical staff during the diagnosis process.

关键词： Fractional calculus image enhancement brain MRI lungs CT kidney MRI

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Exchange Coupling and Magnetic Behavior of SmCo_(5-x)Sn_x alloys

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Journal of Materials Science & Technology 2011年第3期27卷 218-222页

作者： Hamid Zaigham F.Ahmad khalid Faculty of Materials Science and Engineering GIK Institute of Engineering Sciences and Technology

Exchange coupling and magnetic properties of SmCo5 alloys containing different amounts of Sn were investigated in sintered magnets. X-ray diffraction analysis revealed the formation of Sm2Co17 and Sm2Co7 phases in SmCo5 matrix. Exchange coupling mechanism was evaluated by switching field distribution, dcdemagnetization and magnetization curves as function of reverse applied field. Energy product of 59.2 kJ/m3 （7.4 MGOe）, remanent magnetization to maximum magnetization ratio of 0.97 and remanence coercivity to intrinsic coercivity ratio of 1.75 were achieved for 0.2 at.% Sn.

关键词： Nanocomposite magnet Nanocrystalline phases Sintering Exchange interactions

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Effect of Filler Composition on the Brazing of alumina to Copper Using Ultrasonic Wave

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Journal of Materials Science & Technology 2003年第Z1期19卷 176-178页

作者： khalid M. HAFEZ Masaaki NAKA Joining & Welding Research Institute Osaka University Ibaraki Osaka 567-0047 Japan Joining & Welding Research Institute Osaka University Ibaraki Osaka 567-0047 Japan

An ultrasonic wave was applied during brazing of alumina to Cu. First alumina was metallized by applying ultrasonicwave in braze bath. Then the metallized alumina was brazed with Cu using the same filler alloy. The filler used wereZn-al alloys and Zn-Sn alloys. The weight percent of al in filler was ranging between 0, 5%, 10%, *** weight percent of tin in filler was ranging between 0, 30%, 60% and 91%, respectively. The joining mechanismwas investigated by measuring the joining strength, hardness and analyzing the microstructure at interface of thejoint. The shear strength and microstructure of the joint strongly depend on the filler composition. The effect ofultrasound was derived primarily from acoustic cavitations, impact and friction of the filler against alumina *** improved the wetting between alumina and the filler, and reflected to improve the joint strength. Anotherultrasonic advantage as to reduce of the joining temperature, that reduced the thermal stress in the braze joint.

关键词： alumina, Copper, Ultrasonic waves, Fracture stress, Microstructure, Brazing

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Quantum Stackelberg Duopoly in a Noninertial Frame

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Chinese Physics Letters 2011年第7期28卷 5-8页

作者： Salman Khan M.khalid Khan Department of Physics Quaid-i-Azam UniversityIslamabad 45320Pakistan

We study the influence of the Unruh effect on quantum Stackelberg *** is shown that the acceleration of a noninertial frame strongly affects the payoffs of the *** validation of the subgame perfect Nash equilibrium is limited to a particular range of acceleration of the noninertial *** benefit of the initial state entanglement in the quantum form of the duopoly in the inertial frame is adversely affected by the *** duopoly can become a follower advantage only in a small region of the acceleration.

关键词： acceleration Stackelberg Quantum

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Robust Watermarking Scheme for NIfTI Medical Images

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Computers, Materials & Continua 2022年第5期71卷 3107-3125页

作者： Abhishek Kumar Kamred Udham Singh Visvam Devadoss Ambeth Kumar Tapan Kant Abdul Khader Jilani Saudagar Abdullah al Tameem Mohammed al Khathami Muhammad Badruddin Khan Mozaherul Hoque Abul Hasanat khalid Mahmood Malik School of Computer Science and IT JAIN(Deemed to be University)Bangalore560069India Department of Computer Science and Information Engineering National Cheng Kung UniversityTainan701Taiwan Department of Computer Science&Engineering Panimalar Engineering CollegeAnna UniversityChennai600123India Patna Women’s College Patna800001India Information Systems Department College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia Department of Computer Science and Engineering Oakland UniversityRochester48309USA

Computed Tomography(CT)scan and Magnetic Resonance Imaging(MRI)technologies are widely used in medical *** the last few months,due to the increased use of CT scans,millions of patients have had their CT scans ***,as a result,images showing the Corona Virus for diagnostic purposes were digitally transmitted over the *** major problem for the world health care system is a multitude of attacks that affect copyright protection and other ethical issues as images are transmitted over the *** a result,it is important to apply a robust and secure watermarking technique to these ***,watermarking schemes have been developed for various image formats,***,.bmp,***,but their impact on NIfTI(Neuroimaging Informatics Technology Initiative)images is not noteworthy.A watermarking scheme based on the Lifting Wavelet Transform(LWT)and QR factorization is presented in this *** LWT and QR are combined,the NIfTI image maintains its inherent sensitivity and mitigates the watermarking scheme’s *** watermarks are added to the host image in this *** the performance of the graphics card is done by using PSNR,SSIM,Q(a formula which measures image quality),SNR,and Normalized *** watermarking scheme withstands a variety of noise attacks and conversions,including image compression and decompression.

关键词： Watermarking NIfTI LWT QR image security

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Global dynamics of an age-structured viral infection model with general incidence function and absorption

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International Journal of Biomathematics 2018年第5期11卷 93-110页

作者： khalid Hattaf Yu Yang Centre Regional des Mdtiers de l'Education et de la Formation (CRMEF) 20340 Derb Ghalef Casablanca Morocco School of Science and Technology Zhejiang International Studies University Hangzhou 310023 P. R. China

In this paper, we propose an age-structured viral infection model with general incidence function that takes account of the loss of viral particles due to their absorption into susceptible cells. The proposed model is described by partial differential and ordinary differential equations. We first show that the model is mathematically and biologically well-posed. Furthermore, the uniform persistence and the global behavior of the model are investigated. Moreover, the age-structured models and results presented in many previous studies are improved and generalized.

关键词： Age of infection general incidence function global stability

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Syed Ghulam Shabbir (1923-2002) and His Syndrome

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Journal of Cosmetics, Dermatological Sciences and Applications 2011年第2期1卷 43-45页

作者： khalid.al Aboud Daifullah al Aboud 不详

Professor Syed Ghulam Shabbir (1923-2002), is one of the Pakistani well-known dermatologists. In 1986, Shabbir and his colleagues described a novel autosomal recessive syndrome, which they called laryngoonychocutaneous syndrome. They reported this condition, in 22 patients in 12 families living in Lahore, Pakistan. This syndrome is characterized by cutaneous erosions, nail dystrophy and exuberant vascular granulation tissue in certain epithelia, especially conjunctiva and larynx. This report sheds light on Shabbir and the syndrome that bears his name.

关键词： Laryngo Onycho Cutaneous Syndrome Shabbir Syndrome Genodermatoses

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The impact of emergency department length of stay on the outcomes of trauma patients requiring hospitalization: a retrospective observational study

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World Journal of Emergency Medicine 2023年第2期14卷 96-105页

作者： Ahmed Faidh Ramzee Ayman El-Menyar Mohammad Asim Ahad Kanbar khalid Ahmed Bahaa Daoud Saji Mathradikkal Ahmad Kloub Hassan al-Thani Sandro Rizoli Trauma Surgery Section Hamad General Hospital(HGH)Doha P.O Box 3050Qatar Clinical Research Trauma&Vascular Surgery SectionHGHDoha P.O Box 3050Qatar Clinical Medicine Weill Cornell Medical CollegeDoha P.O Box 3050Qatar

BACKGROUND: We aimed to explore the impact of the emergency department length of stay(EDLOS) on the outcome of trauma ***: A retrospective study was conducted on all trauma patients requiring hospitalization between 2015 and 2019. Patients were categorized into 4 groups based on the EDLOS(24 h). Data were analyzed using Chi-square test(categorical variables), Student’s t-test(continuous variables), correlation coefficient, analysis of variance and multivariate logistic regression analysis for identifying predictors of short EDLOS and hospital ***: The study involved 7,026 patients with a mean age of 32.1±15.6 years. Onefifth of patients had a short EDLOS(24 h were older(P=0.001) and had more comorbidities(P=0.001) and fewer deaths(P=0.001). Multivariate regression analysis showed that the predictors of short EDLOS were female gender, GCS, SI, hemoglobin level, ISS, and blood transfusion. The predictors of mortality were TTA-1(odds ratio [OR]=4.081, 95%CI: 2.364–7.045), head injury(OR=3.920, 95%CI: 2.413–6.368), blood transfusion(OR=2.773, 95%CI: 1.668–4.609), SI(OR=2.132, 95%CI: 1.364–3.332), ISS(OR=1.077, 95%CI: 1.057–1.096), and age(OR=1.040, 95%CI: 1.026–1.054). CONCLUSIONS: Patients with shorter EDLOS had different baseline characteristics and hospital outcomes compared with patients with longer EDLOS. Patients with prolonged EDLOS had better outcomes;however, the burden of prolonged boarding in the ED needs further elaboration.

关键词： Emergency department Length of stay Trauma Management Outcomes Trauma activation criteria

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A Web-Based Cancer Atlas of Saudi Arabia

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Journal of Geographic Information System 2013年第5期5卷 471-485页

作者： khalid.al-Ahmadi ali al-Zahrani Atiq al-Dossari Space Research Institute King Abdulaziz City for Science and Technology Riyadh Saudi Arabia

There is a distinct lack of online atlases to visualize and explore cancer incidence in Middle Eastern countries despite the clear benefit that such tools can deliver. This paper describes the development and implementation of a cancer Atlas of Saudi Arabia, which is a web-based client-server application with built-in analysis functions for analyzing patterns of cancer incidence. Built using ESRI’s ArcGIS Server API and ***, the atlas contains 45,532 incidences of cancer for the period from 1998 to 2004, which were provided by the Saudi Arabian National Cancer Registry. This tool is aimed at health care practitioners and researchers, who can use this tool for exploring cancer distribution and investigating trends, and as a decision support tool for service allocation. The tool allows users to map cancer incidence and undertake analyses at four spatial scales from city to national level.

关键词： Cancer Incidence Web-Based Mapping GIS Colorectal Cancer Saudi Arabia

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