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Transfer learning from T1-weighted to T2-weighted Magnetic resonance sequences for brain image segmentation

CAAI Transactions on Intelligence Technology 2024年第1期9卷 26-39页

作者： Imene Mecheter Maysam Abbod habib Zaidi Abbes Amira Brunel University LondonUK Geneva University Hospital GenevaSwitzerland Geneva University GenevaSwitzerland University of Groningen GroningenNetherlands University of Southern Denmark OdenseDenmark University of Sharjah SharjahUAE De Montfort University LeicesterUK

Magnetic resonance(MR)imaging is a widely employed medical imaging technique that produces detailed anatomical images of the human *** segmentation of MR im-ages plays a crucial role in medical image analysis,as it enables accurate diagnosis,treatment planning,and monitoring of various diseases and *** to the lack of sufficient medical images,it is challenging to achieve an accurate segmentation,especially with the application of deep learning *** aim of this work is to study transfer learning from T1-weighted(T1-w)to T2-weighted(T2-w)MR sequences to enhance bone segmentation with minimal required computation *** the use of an excitation-based convolutional neural networks,four transfer learning mechanisms are proposed:transfer learning without fine tuning,open fine tuning,conservative fine tuning,and hybrid transfer ***,a multi-parametric segmentation model is proposed using T2-w MR as an intensity-based augmentation *** novelty of this work emerges in the hybrid transfer learning approach that overcomes the overfitting issue and preserves the features of both modalities with minimal computation time and *** segmentation results are evaluated using 14 clinical 3D brain MR and CT *** results reveal that hybrid transfer learning is superior for bone segmentation in terms of performance and computation time with DSCs of 0.5393±*** T2-w-based augmentation has no significant impact on the performance of T1-w MR segmentation,it helps in improving T2-w MR segmentation and developing a multi-sequences segmentation model.

关键词： computer vision convolution image segmentation learning(artificial intelligence)

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Fine Sand and Clay Sediment Acoustic Properties of the Novel Sediment Sample from the Arabian Sea:Experimental Investigations and Biot−Stoll Model Validation

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China Ocean Engineering 2024年第1期38卷 169-180页

作者： Shahabuddin SHAIKH HUANG Yi-wang ZHANG Ze-chuan habib Hussain ZUBERI National Key Laboratory of Underwater Acoustic Technology and College of Underwater Acoustic Engineering Harbin Engineering UniversityHarbin 150001China

The present study explores the physical and acoustic characteristics of fine sand and clay in novel seabed marine sediments from of Pakistan coastline of the Arabian *** measured physical parameters included mean grain size,mass density,bulk density,salinity,porosity,permeability,pore size and mineralogical *** properties,including sound speed and attenuation,in the high frequency range of 90-170 kHz were analyzed.A controlled laboratory setup with the acoustic transmission method and Fourier transform techniques was utilized to examine the sound propagation and absorption of novel seabed *** standard deviation of mean sound speed in fresh water was 0.75 m/s,and attenuation was observed in the range of 0.43 to 0.61 dB/*** mean sound velocity in sand and clay varied from 1706 to 1709 m/s and 1602 to 1608 m/s,*** average attenuation was observed at 80 to 93 dB/m in sandy sediments and from 31.8 to 38.6 dB/m in clayey *** velocity variation within sandy sediment is low,consistent with expected results,and smaller than the predicted ***,clay sediment exhibited a positive linear correlation and low sound speed *** increased linearly with frequency for both ***,the laboratory results were validated by using the Biot−Stoll *** dispersion of sound speed in sandy and clayey sediments was consistent with the predictions of the Biot−Stoll *** attenuation aligned more with Biot−Stoll model predictions due to improved permeability,tortuosity and pore size parameter fitting.

关键词： physical and acoustic characteristics marine sediments sound speed attenuation Biot−Stoll model

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Cooperative Answering of Fuzzy Queries

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Journal of Computer Science & Technology 2009年第4期24卷 675-686页

作者： Narjes Hachani Mohamed Ali Ben Hassine Hanene Chettaoui habib Ounelli Department of Computer Sciences Faculty of Sciences of Tunis University Campus Tunis 1060 Tunisia

The majority of existing information systems deals with crisp data through crisp database systems. Traditional Database Management Systems （DBMS） have not taken into account imprecision so one can say there is some sort of lack of flexibility. The reason is that queries retrieve only elements which precisely match to the given Boolean query. That is, an element belongs to the result if the query is true for this element; otherwise, no answers are returned to the user. The aim of this paper is to present a cooperative approach to handling empty answers of fuzzy conjunctive queries by referring to the Formal Concept Analysis （FCA） theory and fuzzy logic. We present an architecture which combines FCA and databases. The processing of fuzzy queries allows detecting the minimal reasons of empty answers. We also use concept lattice in order to provide the user with the nearest answers in the case of a query failure.

关键词： cooperative system database empty answer formal concept analysis fuzzy query

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Delta-doped quantum wire tunnel junction for highly concentrated solar cells

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Chinese Physics B 2019年第4期28卷 275-279页

作者： Ali Bahrami Mahyar Dehdast Shahram Mohammadnejad habib Badri Ghavifekr Optoelectronics and Nanophotonics Research Laboratory (ONRL) Electrical and Electronics Engineering DepartmentSahand University of Technology Nanoptronics Research Center Electrical and Electronics Engineering DepartmentIran University of Science and Technology Microelectronics Research Laboratory Department of Electrical Engineering Sahand University of Technology

We propose a novel structure for tunnel junction based on delta-doped AlGaAs/GaAs quantum wires. Higher spatial confinement of quantum wires alongside the increased effective doping concentration in the delta-doped regions extremely increase the peak tunneling current and enhance the performance of tunnel junction. The proposed structure can be used as tunnel junction in the multijunction solar cells under the highest possible thermodynamically limited solar *** combination of the quantum wire with the delta-doped structure can be of benefit to the solar cells' advantages including higher number of sub-bands and high degeneracy. Simulation results show a voltage drop of 40 mV due to the proposed tunnel junction used in a multijunction solar cell which presents an extremely low resistance to the achieved peak tunneling current.

关键词： delta-doping quantum wire solar cell tunnel junction

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The value of using polymorphisms in anti-platelet therapy

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Frontiers in Biology 2017年第5期12卷 349-356页

作者： habib Haybar Zeinab Deris Zayeri Golestan Hospital Clinical Research Development Unit Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran

OBJECTIVES and BACKGROUNDS： Cardiovascular events occure as a result of various risk factors, such as uric acid （UA）, inflammation, hormones and other materials that induce C- reactive protein （CRP） expression. These factors lead to complement activation, and endothelial damages. Damaged endothelial cells release heparan sulfate which inhibits tissue factor activity and von Willed brand factor （VWVF） and causes aggregation. Finally this cascade of events cause platelets aggregation and leads to heart ischemia and cardiovascular events. DISCUSSION： Anti-platelet therapy is an interesting premise. Anti-platelet resistance patients and bleeding as a result of using ticagrelor and prasugrel should be considered in this treatment methods. Anti-platelet drugs such as clopidogrel are prescribed in cardiovascular events. Platelets have VWF receptors and P2Y12 receptors on their surface, and thus, targeting these receptors can be useful in treatment. The active metabolites of clopidogrel bind to P2Y12R and inhibit ADP binding; thus, clopidogrel inhibits aggregation by interfering in several events as a result of the inhibition of ADP attachment to P2Y12R of the platelet. However, the polymorphisms of P2~ 12 and other genes mentioned in Table 1 showed treatment resistance in anti-platelet therapy, highlighting that these SNPs can be helpful in anti-platelet therapy. CONCLUSION： The knowledge of these SNPs may decrease the number of unwanted effects that endanger patients with cardiovascular diseases and avoids ineffective anti-platelet therapy in several patients. Clopidogrel, ticagrelor, prasugrel, and aspirin and CYP2C19 and their SNPs are very important subjects in anti-platelet therapy. To present the importance of using phannacogenetics in anti-platelet therapy, we discuss here the association between these drugs and the SNPs for therapeutic resistance.

关键词： cardiovascular events clopidogrel CYP2C19 polymorphisms anti-platelet drugs

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Evaluation of antitumour activity of Calotropis gigantea *** bark against Ehrlich ascites carcinoma in Swiss albino mice

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Asian Pacific Journal of Tropical Medicine 2011年第10期4卷 786-790页

作者： M Rowshahul habib M Rezaul karim Department of Biochemistry and Molecular Biology Faculty of ScienceRajshahi UniversityRajshahi-6205Bangladesh

Objective:To investigate experimentally the possible antitumor effect of methanol extract(ME) of Calotropis gigantea L.(***) root bark and its petroleum ether(PEF) and chloroform(CF) soluble fractions against Ehrlich ascites carcinoma(EAC) in Swiss albino ***:The effects of ME(10 and 20 mg/kg),PEF(40 and 80 mg/kg) and CF(20 and 40 mg/kg) on the growth of EAC and life span of EAC bearing mice were *** profile and biochemical parameters(SAI.P,SGPT and SCOT) were also ***:Results of in vivo study showed a significant decrease in viable tumor cell count and a significant increase of life span in the ME and CF treated group compared to untreated *** life span of ME and CF treated animals was significandy(P<0.05) increased by 43.90%(20 mg ME/kg) and 57.07%(40 mg CF/kg).ME and CF brought back the hematological parameter more or less normal *** and CF also restored the altered levels of serum alkaline phosphatase(SALP) and serum glutamate oxaloacetate transaminase(SGOT).Conclusions:Methanol extract(ME) of *** root bark and its chloroform soluble fraction(CF) possesses significant antitumor activity.

关键词： Calotropis gigantea Antitumor Ehrlich ascites carcinoma Root bark

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Heat Transfer Characteristics for Solar Energy Aspect on the Flow of Tangent Hyperbolic Hybrid Nanofluid over a Sensor Wedge and Stagnation Point Surface

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Frontiers in Heat and Mass Transfer 2023年第1期21卷 179-197页

作者： Asmaa habib Alanzi N.Ameer Ahammad Department of Mathematics Faculty of ScienceUniversity of TabukP.O.Box 741Tabuk71491Saudi Arabia

The conversion of solar radiation to thermal energy has recently attracted a lot of interest as the requirement for renewable heat and power *** to their enhanced ability to promote heat transmission,nanofluids can significantly contribute to enhancing the efficiency of solar-thermal *** article focus solar energy aspect on the effects of the thermal radiation in the flow of a hyperbolic tangent nanofluid containing magnesium oxide(MgO)and silver(Ag)are the nanoparticle with the base fluid as kerosene through a wedge and *** system of hybrid nanofluid transport equations are transformed into ordinary differential systems using the appropriate self-similarity *** systems are then determined by using the Runge-Kutta 4th order with shooting technique in the MATLAB *** and tables illustrate the effects of significant factors on the fluid transport *** velocity is growths but it is declarations in temperature by increasing values in the power law index *** numbers with higher values improve the temperature and velocity in the wedge and stagnation,*** thermal radiation and Eckert number both parameters intensification the rate of heat transfer for wedge and stagnation,*** heat transfer rate in fluid flow over a stagnation point is found to be 14.0346%higher compared to flow over a ***,incorporating hybrid nanoparticles into the base fluid enhances the heat transfer rate by 8.92%for the wedge case and 13.26%for the stagnation point case.

关键词： Hyperbolic tangent sensor surface kerosene base fluid thermal radiation and hybrid nanoparticles

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Design of novel circular lattice photonic crystal fiber suitable for transporting 48 OAM modes

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Optoelectronics Letters 2021年第8期17卷 501-506页

作者： Alaaeddine Rjeb habib Fathallah Saleh Chebaane Mohsen Machhout Laboratory of Electronic and Microelectronic Physics DepartmentFaculty of Sciences of MonastirUniversity of MonastirMonastir 5000Tunisia Laboratory of Artificial Intelligence and Data Engineering Applications Computer DepartmentFaculty of Sciences of BizerteUniversity of CarthageBizerte 7000Tunisia Physics Department College of ScienceUniversity of Hai'ilKingdom of Saudi Arabia

In this paper,we propose and numerically investigate a novel circular lattice photonic crystal fiber(CL-PCF)using controllable GeO_(2) doped silica,suitable for modes carrying quantized orbital angular momentum(OAM).Large effective index separations between 25 supported vector modes(≥10^(-4))are confirmed over large bandwidth(C+L bands)leading to 48 OAM modes bearing *** simulations show that the modes in the proposed CLPCF have good features including low and flat dispersion(within 51.82 ps/km/nm),low confinement loss(lower than 0.002 d B/m),high effective mode area(88.5μm^(2))and low nonlinearity(1.22 W^(-1)·km^(-1)).These promising results show that the proposed CL-PCF could be an arguably candidate in fiber-based OAM multiplexing or other applications using OAM states.

关键词： fiber OAM circular

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Improving Association Rules Accuracy in Noisy Domains Using Instance Reduction Techniques

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Computers, Materials & Continua 2022年第8期72卷 3719-3749页

作者： Mousa Al-Akhras Zainab Darwish Samer Atawneh Mohamed habib College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia King Abdullah II School for Information Technology The University of JordanAmman11942Jordan Faculty of Engineering Port Said UniversityPort Said42523Egypt

Association rules’learning is a machine learning method used in finding underlying associations in large *** intentionally or unintentionally present,noise in training instances causes overfitting while building the classifier and negatively impacts classification *** paper uses instance reduction techniques for the datasets before mining the association rules and building the *** reduction techniques were originally developed to reduce memory requirements in instance-based *** paper utilizes them to remove noise from the dataset before training the association rules *** experiments were conducted to assess the accuracy of association rules with different instance reduction techniques,namely:DecrementalReduction Optimization Procedure(DROP)3,DROP5,ALL K-Nearest Neighbors(ALLKNN),Edited Nearest Neighbor(ENN),and Repeated Edited Nearest Neighbor(RENN)in different noise *** show that instance reduction techniques substantially improved the average classification accuracy on three different noise levels:0%,5%,and 10%.The RENN algorithm achieved the highest levels of accuracy with a significant improvement on seven out of eight used datasets from the University of California Irvine(UCI)machine learning *** improvements were more apparent in the 5%and the 10%noise *** RENN was applied,the average classification accuracy for the eight datasets in the zero-noise test enhanced from 70.47%to 76.65%compared to the original *** average accuracy was improved from 66.08%to 77.47%for the 5%-noise case and from 59.89%to 77.59%in the 10%-noise *** confidence was also reported in building the association rules when RENN was *** above results indicate that RENN is a good solution in removing noise and avoiding overfitting during the construction of the association rules classifier,especially in noisy domains.

关键词： Association rules classification instance reduction techniques classification overfitting noise data cleansing

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Wind Turbine Efficiency Under Altitude Consideration Using an Improved Particle Swarm Framework

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Computers, Materials & Continua 2022年第12期73卷 4981-4994页

作者： Haykel Marouani Fahad Awjah Almehmadi Rihem Farkh habib Dhahri Department of Applied Mechanical Engineering College of Applied EngineeringMuzahimiyah BranchKing Saud UniversityP.O.BOX 800Riyadh11421Saudi Arabia Department of Applied Electrical Engineering College of Applied EngineeringMuzahimiyah BranchKing Saud UniversityP.O.BOX 800Riyadh11421Saudi Arabia Department of Information Science College of Applied Computer SciencesMuzahimiyah BranchKing Saud UniversityP.O.BOX 800Riyadh11421Saudi Arabia

In this work,the concepts of particle swarm optimization-based method,named non-Gaussian improved particle swarm optimization for minimizing the cost of energy(COE)of wind turbines(WTs)on high-altitude sites are *** the COE depends on site specification constants and initialized parameters of wind turbine,the focus was on the design optimization of rotor radius,hub height and rated *** on literature,the COE is converted to the Saudi Arabia ***,the constrained wind turbine optimization problem is ***,non-Gaussian improved particle swarm optimization is provided and compared with the conventional particle swarm optimization for solving the optimization design in wind turbine efficiency under different altitudes ranging from 2500 to 4000 *** results show that as altitude rises,the optimal rotor radius grows,but the optimal hub height and rated power drop,resulting in an increase in ***,the non-Gaussian method display a faster convergence compared to the classical particle swarm *** findings will be useful as a reference for wind turbine design at high ***,it could be employed to optimize the initialized parameter of wind turbine for the planned and largest wind farm in Saudi Arabia in Dumat Al-Jandal selected site.

关键词： Wind turbine high altitude energy cost particle swarm optimization Levy distribution

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