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An Optimized algorithm for CR-MIMO Wireless Networks

Computers, Materials & Continua 2022年第4期71卷 697-715页

作者： Imran Khan Fahd N.al-Wesabi Marwa Obayya Anwer Mustafa Hilal Manar Ahmed Hamza Mohammed Rizwanullah fahad Ahmed al-Zahrani Hirofumi Amano Samih M.Mostafa Department of Electrical Engineering University of Engineering&TechnologyPeshawarPakistan Department of Computer Science King Khalid UniversityMuhayel AseerKSA Department of Biomedical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Computer Engineering Department Umm Al-Qura UniversityMecca24381Saudi Arabia Research Institute for Information Technology Kyushu UniversityFukuoka819-0395Japan Computer Science-Mathematics Department Faculty of ScienceSouth Valley UniversityQena83523Egypt

With the rapid development of wireless communication technology,the spectrum resources are increasingly strained which needs optimal *** radio(CR)is one of the key technologies to solve this *** sensing not only includes the precise detection of the communication signal of the primary user(PU),but also the precise identification of its modulation type,which can then determine the a priori information such as the PU’service category,so as to use this information to make the cognitive user(CU)aware to discover and use the idle spectrum more effectively,and improve the spectrum *** sensing is the primary feature and core part of *** sensing algorithms includes energy detection,cyclostationary feature detection,matched filter detection,and so *** energy detection algorithm has a simple structure and does not require prior knowledge of the PU transmitter signal,but it is easily affected by noise and the threshold is not easy to *** combination of multiple-input multiple-output(MIMO)with CR improves the spectral efficiency and multipath fading *** best utilize the PU spectrum while minimizing the overall transmit power,an iterative technique based on semidefinite programming(SDP)and minimum mean squared error(MMSE)is ***,this article proposed a new method for max-min fairness *** compared to existing algorithms,the simulation results show that the proposed algorithms perform better in terms of total transmitted power and signal-tointerference plus noise ratio(SINR).Furthermore,the proposed algorithm effectively improved the system performance in terms of number of iterations,interference temperature threshold and balance SINR level which makes it superior over the conventional schemes.

关键词： Cognitive radio spectrum utilization bandwidth primary user

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Disease clearance in ulcerative colitis:A new therapeutic target for the future

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World Journal of Gastroenterology 2024年第13期30卷 1801-1809页

作者： Syed Adeel Hassan Neeraj Kapur fahad Sheikh Anam fahad Somia Jamal Division of Digestive Disease and Nutrition University of KentuckyLexingtonKY 40536United States Department of Pathology and Laboratory Medicine Montefiore Medical CenterAlbert Einstein College of MedicineNew YorkNY 10461United States Division of Primary Care Essen HealthcareNew YorkNY 10457United States Department of Internal Medicine Karachi Medical and Dental CollegeKarachi 74700SindhPakistan

Advancements in murine modeling systems for ulcerative colitis have diversified our understanding of the pathophysiological factors involved in disease onset and *** has fueled the identification of molecular targets,resulting in a rapidly expanding therapeutic ***,management strategies have evolved from symptomatic resolution to well-defined objective endpoints,including clinical remission,endoscopic remission and mucosal *** the incorporation of these assessment modalities has permitted targeted intervention in the context of a natural disease history and the prevention of complications,studies have consistently depicted discrepancies associated with ascertaining disease status through clinical and endoscopic *** recommendations lack consideration of histological *** simultaneous achievement of clinical,endoscopic,and histologic remission has not been fully *** has laid the groundwork for a novel therapeutic outcome termed disease clearance(DC).This article summarizes the concept of DC and its current evidence.

关键词： Inflammatory bowel disease Ulcerative colitis Clinical remission Endoscopic remission Histological remission Mucosal healing Disease clearance

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Fruits and Vegetables Freshness Categorization Using Deep Learning

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Computers, Materials & Continua 2022年第6期71卷 5083-5098页

作者： Labiba Gillani fahad Syed fahad Tahir Usama Rasheed Hafsa Saqib Mehdi Hassan Hani alquhayz Department of Computer Science National University of Computer and Emerging SciencesIslamabad44000Pakistan Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Computer Science and Information College of Science in ZulfiMajmaah UniversityAl-Majmaah11952Kingdom of Saudi Arabia

The nutritional value of perishable food items,such as fruits and vegetables,depends on their freshness *** existing approaches solve a binary class problem by classifying a known fruit\vegetable class into fresh or rotten *** propose an automated fruits and vegetables categorization approach that first recognizes the class of object in an image and then categorizes that fruit or vegetable into one of the three categories:purefresh,medium-fresh,and *** gathered a dataset comprising of 60K images of 11 fruits and vegetables,each is further divided into three categories of freshness,using hand-held *** recognition and categorization of fruits and vegetables are performed through two deep learning models:Visual Geometry Group(VGG-16)and You Only Look Once(YOLO),and their results are ***-16 classifies fruits and vegetables and categorizes their freshness,while YOLO also localizes them within the ***,we have developed an android based application that takes the image of the fruit or vegetable as input and returns its class label and its freshness degree.A comprehensive experimental evaluation of proposed approach demonstrates that the proposed approach can achieve a high accuracy and F1score on gathered FruitVeg Freshness *** dataset is publicly available for further evaluation by the research community.

关键词： Fruits and vegetables classification degree of freshness deep learning object detection model VGG-16 YOLO-v5

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Modeling and Comprehensive Review of Signaling Storms in 3GPP-Based Mobile Broadband Networks:Causes,Solutions,and Countermeasures

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 123-153页

作者： Muhammad Qasim Khan Fazal Malik fahad alturise Noor Rahman Department of Computer Science Iqra National UniversityPeshawar25000Pakistan Department of Cybersecurity College of ComputerQassim UniversityBuraydah52555Saudi Arabia Department of Computer Science and Engineering Al-Fayha CollegeAl Jubayl31961Saudi Arabia

Control signaling is mandatory for the operation and management of all types of communication networks,including the Third Generation Partnership Project(3GPP)mobile broadband ***,they consume important and scarce network resources such as bandwidth and processing *** have been several reports of these control signaling turning into signaling storms halting network operations and causing the respective Telecom companies big financial *** paper draws its motivation from such real network disaster incidents attributed to signaling *** this paper,we present a thorough survey of the causes,of the signaling storm problems in 3GPP-based mobile broadband networks and discuss in detail their possible solutions and *** provide relevant analytical models to help quantify the effect of the potential causes and benefits of their corresponding *** important contribution of this paper is the comparison of the possible causes and solutions/countermeasures,concerning their effect on several important network aspects such as architecture,additional signaling,fidelity,etc.,in the form of a *** paper presents an update and an extension of our earlier conference *** our knowledge,no similar survey study exists on the subject.

关键词： Signaling storm problems control signaling load analytical modeling 3GPP networks smart devices diameter signaling mobile broadband data access data traffic mobility management signaling network architecture 5G mobile communication

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Deep Learning Enabled Disease Diagnosis for Secure Internet of Medical Things

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Computers, Materials & Continua 2022年第10期73卷 965-979页

作者： Sultan Ahmad Shakir Khan Mohamed fahad al.Ajmi Ashit Kumar Dutta L.Minh Dang Gyanendra Prasad Joshi Hyeonjoon Moon Department of Computer Science College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharj11942Saudi Arabia College of Computer and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia College of Pharmacy King Saud UniversityRiyadh11451Saudi Arabia Department of Computer Science and Information System College of Applied SciencesAlMaarefa UniversityRiyadh11597Saudi Arabia Department of Information Technology FPT UniversityHo Chi Minh CityVietnam Department of Computer Science and Engineering Sejong UniversitySeoul05006Korea

In recent times,Internet of Medical Things(IoMT)gained much attention in medical services and healthcare management *** healthcare sector generates massive volumes of data like personal details,historical medical data,hospitalization records,and discharging records,IoMT devices too evolved with potentials to handle such high quantities of *** and security of the data,gathered by IoMT gadgets,are major issues while transmitting or saving it in *** advancements made in Artificial Intelligence(AI)and encryption techniques find a way to handle massive quantities of medical data and achieve *** this view,the current study presents a new Optimal Privacy Preserving and Deep Learning(DL)-based Disease Diagnosis(OPPDL-DD)in IoMT ***,the proposed model enables IoMT devices to collect patient data which is then preprocessed to optimize *** order to decrease the computational difficulty during diagnosis,Radix Tree structure is *** addition,ElGamal public key cryptosystem with Rat Swarm Optimizer(EIG-RSO)is applied to encrypt the *** the transmission of encrypted data to cloud,respective decryption process occurs and the actual data gets ***,a hybridized methodology combining Gated Recurrent Unit(GRU)with Convolution Neural Network(CNN)is exploited as a classification model to diagnose the *** sets of simulations were conducted to highlight the performance of the proposed model on benchmark *** experimental outcomes ensure that the proposed model is superior to existing methods under different measures.

关键词： Internet of medical things privacy security encryption radix tree deep learning

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Atypical presentations of propionic acidemia

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Health 2012年第9期4卷 629-633页

作者： ali M. al-asmari AbdulKarim S. al-Makadma Department of Pediatrics Children’s Hospital King Fahad Medical City KSA

One of the most common recessively inherited organic acidemias is the Propionic Acidosis (PA) which results from Propionyle-CoA Carboxylase (PCC) enzyme deficiency that is necessary for the catabolism of the branched chain Amino Acids and other metabolites. Classically this disease presented with high anion gap metabolic acidosis with its clinical consequences. We report 4 patients who presented to our facility with sepsis like picture and no metabolic acidosis. all of them were found to have high ammonia level. Diagnosis was confirmed by tandem MS/MS and urine Gas Chromatography/ Mass Spectrometry (GC/MS). all of them were treated supportively and by supplementation of adequate calories and PA formula. The different presentations may be very well attributed to the PCC molecular defects heterogeneity. Mutations in both genes PCCA and PCCB can cause PA with more frequent heterogeneity of PCCA gene. In spite of the fact that PCCB gene is responsible for the most of the oriental cases, our first patient condition was attributed to PCCA gene with a rare mutation which was not described in the literatures.

关键词： Acidemia Atypical Presentation Hyperammonemia Organic Propionic Propionyle-CoA Carboxylase

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AntiFlamPred: An Anti-Inflammatory Peptide Predictor for Drug Selection Strategies

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Computers, Materials & Continua 2021年第10期69卷 1039-1055页

作者： fahad alotaibi Muhammad Attique Yaser Daanial Khan Department of Information System Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science University of Management and TechnologyLahore54000Pakistan Department of Information Technology University of GujratGujrat50700Pakistan

Several autoimmune ailments and inflammation-related diseases emphasize the need for peptide-based therapeutics for their treatment and established substantial ***,the wet-lab experiments for the investigation of anti-inflammatory proteins/peptides(“AIP”)are usually very costly and remain ***,before wet-lab investigations,it is essential to develop in-silico identification models to classify prospective anti-inflammatory candidates for the facilitation of the drug development *** anti-inflammatory prediction tools have been proposed in the recent past,yet,there is a space to induce enhancement in prediction performance in terms of precision and *** exceedingly accurate antiinflammatory prediction model is proposed,named AntiFlamPred(“Antiinflammatory Peptide Predictor”),by incorporation of encoded features and probing machine learning algorithms including deep *** proposed model performs best in conjunction with deep *** testing and validation were applied including cross-validation,self-consistency,jackknife,and independent set *** proposed model yielded 0.919 value for area under the curve(AUC)and revealed Mathew’s correlation coefficient(MCC)equivalent to 0.735 demonstrating its effectiveness and ***,the proposed model was also extensively probed in comparison with other existing *** performance of the proposed model also out-performs other existing *** outcomes establish that the proposed model is a robust predictor for identifying AIPs and may subsidize well in the extensive lab-based ***,it has the potential to assiduously support medical and bioinformatics research.

关键词： Prediction feature extraction machine learning bootstrap aggregation deep learning bioinformatics computational intelligence antiinflammatory peptides

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Laboratory to field scale assessment for EOR applicability in tight oil reservoirs

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Petroleum Science 2022年第5期19卷 2131-2149页

作者： fahad Iqbal Syed Amirmasoud Kalantari Dahaghi Temoor Muther Center for Net Carbon Zero GeoEnergy Intelligence and Sustainability(C0GEiS) USA The University of Kansas School of EngineeringChemical and Petroleum Engineering1450 Jayhawk Blvd.LawrenceKS66045USA

Tight oil reservoirs are contributing a major role to fulfill the overall crude oil needs,especially in the ***,the dilemma is their ultra-tight permeability and an uneconomically short-lived primary recovery ***,the application of EOR in the early reservoir development phase is considered effective for fast-paced and economical tight oil *** achieve these objectives,it is imperative to determine the optimum EOR potential and the best-suited EOR application for every individual tight oil reservoir to maximize its ultimate recovery *** most of the tight oil reservoirs are found in wide spatial source rock with complex and compacted pores and poor geophysical properties yet they hold high saturation of good quality oil and therefore,every single percent increase in oil recovery from such huge reservoirs potentially provide an additional million barrels of ***,the EOR application in such reservoirs is quite ***,the physical understanding of EOR applications in different circumstances from laboratory to field scale is the key to success and similarly,the fundamental physical concepts of fluid flow-dynamics under confinement conditions play an important *** paper presents a detailed discussion on laboratory-based experimental achievements at micro-scale including fundamental concepts under confinement environment,physics-based numerical studies,and recent actual field piloting experiences based on the *** *** objective of this paper is to discuss all the critical reservoir rock and fluid properties and their contribution to reservoir development through massive multi-staged hydraulic fracture networks and the EOR *** the CO_(2)and produced hydrocarbon gas injection through single well-based huff-n-puff operational constraints are discussed in detail both at micro and macro scale.

关键词： UEOR UEOR pilots Shale oil Tight oil reservoir Gas injection Hydraulic fracture Huff-n-puff

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Homotopy Analysis Method for Solving Initial Value Problems of Second Order with Discontinuities

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Applied Mathematics 2019年第6期10卷 419-434页

作者： Waleed al-Hayani Rasha fahad Department of Mathematics College of Computer Science and Mathematics Mosul University Mosul Iraq

In this paper, the standard homotopy analysis method was applied to initial value problems of the second order with some types of discontinuities, for both linear and nonlinear cases. To show the high accuracy of the solution results compared with the exact solution, a comparison of the numerical results was made applying the standard homotopy analysis method with the iteration of the integral equation and the numerical solution with the Simpson rule. also, the maximum absolute error, , the maximum relative error, the maximum residual error and the estimated order of convergence were given. The research is meaningful and I recommend it to be published in the journal.

关键词： Homotopy Analysis Method Initial Value Problems Heaviside Step Function Dirac Delta Function Simpson Rule

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Peristaltic flow in an asymmetric channel with convective boundary conditions and Joule heating

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Journal of Central South University 2014年第4期21卷 1411-1416页

作者： Abbasi fahad Munir Hayat Tasawar Ahmad Bashir Department of Mathematics Quaid-I-Azam University Nonlinear Analysis and Applied Mathematics (NAAM) Research Group Faculty of ScienceKing Abdulaziz University

The peristaltic transport of viscous fluid in an asymmetric channel is concentrated. The channel walls exhibit convective boundary conditions. Both cases of hydrodynamic and magnetohydrodynamic(MHD) fluids are considered. Mathematical analysis has been presented in a wave frame of reference. The resulting problems are non-dimensionalized. Long wavelength and low Reynolds number approximations are employed. Joule heating effect on the thermal equation is retained. Analytic solutions for stream function and temperature are constructed. Numerical integration is carried out for pressure rise per wavelength. Effects of influential flow parameters have been pointed out through graphs.

关键词： peristaltic flow convective conditions Joule heating

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