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A Hybrid Deep Fused Learning Approach to Segregate Infectious Diseases

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Computers, Materials & Continua 2023年第2期74卷 4239-4259页

作者： jawad Rasheed Shtwai Alsubai Department of Software Engineering Nisantasi UniversityIstanbul34398Turkey Dapartment of Computer Science College of Computer Engineering and Sciences in Al-KharjPrince Sattam Bin Abdulaziz UniversityP.O.Box 151Al-Kharj11942Saudi Arabia

Humankind is facing another deadliest pandemic of all times in history,caused by *** from this challenging pandemic,World Health Organization(WHO)considers tuberculosis(TB)as a preeminent infectious disease due to its high infection ***,both TB and COVID-19 severely affect the lungs,thus hardening the job of medical practitioners who can often misidentify these diseases in the current ***,the time of need calls for an immediate and meticulous automatic diagnostic tool that can accurately discriminate both *** one of the preliminary smart health systems that examine three clinical states(COVID-19,TB,and normal cases),this study proposes an amalgam of image filtering,data-augmentation technique,transfer learning-based approach,and advanced deep-learning classifiers to effectively segregate these *** first employed a generative adversarial network(GAN)and Crimmins speckle removal filter on X-ray images to overcome the issue of limited data and *** pre-processed image is then converted into red,green,and blue(RGB)and Commission Internationale de l’Elcairage(CIE)color spaces from which deep fused features are formed by extracting relevant features using DenseNet121 and *** feature extractor extracts 1000 most useful features which are then fused and finally fed to two variants of recurrent neural network(RNN)classifiers for precise discrimination of threeclinical *** analysis showed that the proposed Bi-directional long-short-term-memory(Bi-LSTM)model dominated the long-short-termmemory(LSTM)network by attaining an overall accuracy of 98.22%for the three-class classification task,whereas LSTM hardly achieved 94.22%accuracy on the test dataset.

关键词： Computer-aided diagnosis decision support system deep transfer learning deep fused features tuberculosis COVID-19

Reconstruction of Scalar Field Dark Energy Models in Kaluza-Klein Universe

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Communications in Theoretical Physics 2013年第8期60卷 183-188页

作者： M.Sharif Abdul jawad Department of Mathematics University of the PunjabQuaid-e-Azam CampusLahore-54590Pakistan

This paper is devoted to study the modified holographic dark energy model by taking its different aspects in the t/at Kaiuza-Klein universe. We construct the equation of state parameter which evolutes the universe from quintessence region towards the vacuum. It is found that the modified holographic model exhibits instability against small perturbations in the early epoch of the universe but becomes stable in the later times. We also develop its correspondence with some scalar field dark energy models. It is interesting to mention here that ail the results are consistent with the present observations.

关键词： Kaluza-Klein cosmology modified holographic dark energy scalar field models

Halalopathy: A science of trust in medicine

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Journal of Integrative Medicine 2019年第3期17卷 150-154页

作者： jawad Alzeer Department of Chemistry University of Zurich

The human body is well organized, regulated and connected. One of the greatest scientific challenges today is to integrate mind, behaviour and health. Enormous advances in health care have been ***, diseases like cancer still require treatment options beyond therapeutic drugs, namely surgery and radiation. Human being is not only made of cells, tissues and organs, but also feelings and *** mental state with physical health is essential to include all elements of disease. For this purpose,halalopathy has been introduced as a new model to integrate mind, behaviour and health, where psychology, spirituality and rationality can be integrated together to generate a well-organized, regulated and connected health system. Halalopathic approaches are based on mind-trust-drug and mindtrust-belief. If the drug and human's belief are compatible, trust in the rationally designed drug will be synergized and placebo effects will be activated to initiate the healing process. Such an organized health system will lower the body's entropy and increase potential energy, which is an important aspect to promote the healing process, with a therapeutic drug toward complete recovery. This study enlightens laws of compatibility to initiate a domino chain effect to activate placebo effects and lower the body's *** healing power of each effect will contribute to the healing process and enhance the total drug effects.

关键词： En tropy Alternative medicine Integrative medicine Psychology Mind-body therapies Holistic health

High surface area and mesoporous activated carbon from KOH-activated dragon fruit peels for methylene blue dye adsorption:Optimization and mechanism study

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Chinese Journal of Chemical Engineering 2021年第4期34卷 281-290页

作者： ali H.jawad Ahmed Saud Abdulhameed Lee D.Wilson Syed Shatir A.Syed-Hassan Zeid A.ALOthman Mohammad Rizwan Khan Faculty of Applied Sciences Universiti Teknologi MARA40450 Shah AlamSelangorMalaysia Department of Medical Instrumentation Engineering Al-Mansour University CollegeBaghdadIraq Department of Chemistry University of SaskatchewanSaskatoonSaskatchewan S7N 5C9 Canada Faculty of Chemical Engineering Universiti Teknologi MARA40450 Shah AlamSelangorMalaysia Chemistry Department College of ScienceKing Saud UniversityRiyadh 11451Saudi Arabia

In this study,an alternative precursor for production of activated carbon was introduced using dragon fruit(Hylocereus costaricensis)peel(DFP).Moreover,KOH was used as a chemical activator in the thermal carbonization process to convert DFP into activated carbon(DFPAC).In order to accomplish this research,several approaches were employed to examine the elemental composition,surface properties,amorphous and crystalline nature,essential active group,and surface morphology of the *** BrunauerEmmettTeller test demonstrated a mesoporous structure of the DFPAC has a high surface area of 756.3 m2g *** cationic dye Methylene Blue(MB)was used as a probe to assess the efficiency of DFPAC towards the removal of MB dye from aqueous *** effects of adsorption input factors(*** dose(A:0.040.12 g L 1),pH(B:310),and temperature(C:3050℃))were investigated and optimized using statistical analysis(*** design(BBD)).The adsorption kinetic model can be best categorized as the pseudofirst order(PFO).Whereas,the adsorption isotherm model can be best described by Langmuir model,with maximum adsorption capacity of DFPAC for MB dye was 195.2 mg g 1 at 50℃.The adsorption mechanism of MB by DFPAC surface was attributed to the electrostatic interaction,pp interaction,and ***,the results support the ability of DFP to be a promising precursor for production of highly porous activated carbon suitable for removal of cationic dyes(***).

关键词： Statistical modeling Activated carbon Dragon fruit peels Box-Behnken design Methylene blue dye Adsorption

Nonlinear Axisymmetric Deformation Model for Structures of Revolution

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Advances in Applied Mathematics and Mechanics 2011年第4期3卷 420-447页

作者： Ayman Mourad jawad Zaarour Department of Mathematics Lebanese UniversityHadathLebanon Jean Kutzman Laboratory Joseph Fourier UniversityGrenobleFrance

An axisymmetric formulation for modeling three-dimensional deformation of structures of revolution is *** axisymmetric deformation model is described using the cylindrical coordinate *** displacement effects and material nonlinearities and anisotropy are accommodated by the *** derivation of the formulation is given,and an example is presented to demonstrate the capabilities and efficiency of the technique compared to the full three-dimensional model.

关键词： Modeling axisymmetry nonlinear elasiticity large deformations numerical simulations

Severe liver injury due to herbal and dietary supplements and the role of liver transplantation

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World Journal of Gastroenterology 2019年第46期25卷 6704-6712页

作者： Priya Grewal jawad Ahmad Division of Liver Diseases Icahn School of Medicine at Mount Sinai

Herbal and dietary supplements(HDS)are increasingly used worldwide for numerous,mainly unproven health *** HDS industry is poorly regulated compared to prescription medicines and most products are easily *** induced liver injury(DILI)is a well-recognized entity associated with prescription and over the counter medications and many reports have emerged of potential HDS-related *** is considerable geographic variability in the risk and severity of DILI associated with HDS but the presentation of severe liver injury is similar with a hepatocellular pattern accompanied by *** type of injury can lead to acute liver failure and the need for liver *** will often fail to mention their use of HDS,considering it natural and therefore *** physicians should understand that these products can be associated with DILI and explicitly ask about HDS use in any patient with otherwise unexplained acute liver injury.

关键词： Herbal and dietary supplements Drug induced liver injury Liver transplantation Acute liver failure Geographic variability

Argumentative Conversational Agents for Online Discussions

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Journal of Systems Science and Systems Engineering 2021年第4期30卷 450-464页

作者： Rafik Hadfi jawad Haqbeen Sofia Sahab Takayuki Ito Department of Social Informatics Kyoto UniversityYoshidahonmachiSakyo WardKyotoJapan606-8501 Nagoya Institute of Technology Gokiso-choShowa-kuNagoyaAichiJapan466-8555

Artificial Intelligence is revolutionising our communication practices and the ways in which we interact with each other. This revolution does not only impact how we communicate, but it affects the nature of the partners with whom we communicate. Online discussion platforms now allow humans to communicate with artificial agents in the form of socialbots. Such agents have the potential to moderate online discussions and even manipulate and alter public opinions. In this paper, we propose to study this phenomenon using a constructed large-scale agent platform. At the heart of the platform lies an artificial agent that can moderate online discussions using argumentative messages. We investigate the influence of the agent on the evolution of an online debate involving human participants. The agent will dynamically react to their messages by moderating, supporting, or attacking their stances. We conducted two experiments to evaluate the platform while looking at the effects of the conversational agent. The first experiment is a large-scale discussion with 1076 citizens from Afghanistan discussing urban policy-making in the city of Kabul. The goal of the experiment was to increase the citizen involvement in implementing Sustainable Development Goals. The second experiment is a small-scale debate between a group of 16 students about globalisation and taxation in Myanmar. In the first experiment, we found that the agent improved the responsiveness of the participants and increased the number of identified ideas and issues. In the second experiment, we found that the agent polarised the debate by reinforcing the initial stances of the participant.

关键词： Artificial intelligence conversational agents natural language processing online discussion computational social science

Proactive Load Balancing Mechanism for Fog Computing Supported by Parked Vehicles in IoV-SDN

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China Communications 2021年第2期18卷 271-289页

作者： Ahmed jawad Kadhim Jaber Ibrahim Naser Ministry of Education General Directorate for Education in Al-QadisiyahAl-Qadisiyah 58002Iraq

Internet of Vehicles(IoV)is a new style of vehicular ad hoc network that is used to connect the sensors of each vehicle with each other and with other vehicles’sensors through the *** sensors generate different tasks that should be analyzed and processed in some given period of *** send the tasks to the cloud servers but these sending operations increase bandwidth consumption and *** computing is a simple cloud at the network edge that is used to process the jobs in a short period of time instead of sending them to cloud computing *** some situations,fog computing cannot execute some tasks due to lack of ***,in these situations it transfers them to cloud computing that leads to an increase in latency and bandwidth occupation ***,several fog servers may be fuelled while other servers are *** implies an unfair distribution of *** this research study,we shall merge the software defined network(SDN)with IoV and fog computing and use the parked vehicle as assistant fog computing *** can improve the capabilities of the fog computing layer and help in decreasing the number of migrated tasks to the cloud *** increases the ratio of time sensitive tasks that meet the *** addition,a new load balancing strategy is *** works proactively to balance the load locally and globally by the local fog managers and SDN controller,*** simulation experiments show that the proposed system is more efficient than VANET-Fog-Cloud and IoV-Fog-Cloud frameworks in terms of average response time and percentage of bandwidth consumption,meeting the deadline,and resource utilization.

关键词： IoV parked vehicles SDN fog computing load balancing

An Efficient Automated Technique for Classification of Breast Cancer Using Deep Ensemble Model

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Computer Systems Science & Engineering 2023年第7期46卷 897-911页

作者： Muhammad Zia Ur Rehman jawad Ahmad Emad Sami Jaha Abdullah Marish ali Mohammed A.Alzain Faisal Saeed Department of Electrical Engineering HITEC UniversityTaxila47080Pakistan School of Computing Edinburgh Napier UniversityEdinburghEH105DTUK Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia DAAI Research Group Department of Computing and Data ScienceSchool of Computing and Digital TechnologyBirmingham City University15 Bartholomew RowBirminghamB55JUUK

Breast cancer is one of the leading cancers among *** has the second-highest mortality rate in women after lung *** detection,especially in the early stages,can help increase survival ***,manual diagnosis of breast cancer is a tedious and time-consuming process,and the accuracy of detection is reliant on the quality of the images and the radiologist’s ***,computer-aided medical diagnosis has recently shown promising results,leading to the need to develop an efficient system that can aid radiologists in diagnosing breast cancer in its early *** research presented in this paper is focused on the multi-class classification of breast *** deep transfer learning approach has been utilized to train the deep learning models,and a pre-processing technique has been used to improve the quality of the ultrasound *** proposed technique utilizes two deep learning models,Mobile-NetV2 and DenseNet201,for the composition of the deep ensemble *** learning models are fine-tuned along with hyperparameter tuning to achieve better ***,entropy-based feature selection is *** cancer identification using the proposed classification approach was found to attain an accuracy of 97.04%,while the sensitivity and F1 score were 96.87%and 96.76%,*** performance of the proposed model is very effective and outperforms other state-of-the-art techniques presented in the literature.

关键词： Breast cancer image enhancement ensemble model transfer learning feature selection