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An Enhanced Lung Cancer Detection Approach Using Dual-Model Deep Learning Technique

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 835-867页

作者： Sumaia Mohamed Elhassan Saad Mohamed Darwish saleh Mesbah Elkaffas Department of Information Technology Institute of Graduate Studies and ResearchAlexandria UniversityAlexandria21526Egypt College of Computing and Information Technology Arab Academy for ScienceTechnology and Maritime TransportAlexandriaP.O.Box 1029Egypt

Lung cancer continues to be a leading cause of cancer-related deaths worldwide,emphasizing the critical need for improved diagnostic *** detection of lung tumors significantly increases the chances of successful treatment and ***,current diagnostic methods often fail to detect tumors at an early stage or to accurately pinpoint their location within the lung ***-model deep learning technologies for lung cancer detection,while beneficial,cannot capture the full range of features present in medical imaging data,leading to incomplete or inaccurate ***,it may not be robust enough to handle the wide variability in medical images due to different imaging conditions,patient anatomy,and tumor *** overcome these disadvantages,dual-model or multi-model approaches can be *** research focuses on enhancing the detection of lung cancer by utilizing a combination of two learning models:a Convolutional Neural Network(CNN)for categorization and the You Only Look Once(YOLOv8)architecture for real-time identification and pinpointing of *** automatically learn to extract hierarchical features from raw image data,capturing patterns such as edges,textures,and complex structures that are crucial for identifying lung ***8 incorporates multiscale feature extraction,enabling the detection of tumors of varying sizes and scales within a single *** is particularly beneficial for identifying small or irregularly shaped tumors that may be challenging to ***,through the utilization of cutting-edge data augmentation methods,such as Deep Convolutional Generative Adversarial Networks(DCGAN),the suggested approach can handle the issue of limited data and boost the models’ability to learn from diverse and comprehensive *** combined method not only improved accuracy and localization but also ensured efficient real-time processing,which is crucial for practical clinical applicati

关键词： Lung cancer detection dual-model deep learning technique data augmentation CNN YOLOv8

Current status of first-line therapy,anti-angiogenic therapy and its combinations of other agents for unresectable hepatocellular carcinoma

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World Journal of Gastrointestinal Oncology 2021年第12期13卷 2038-2049页

作者： saleh A Alqahtani Massimo G Colombo Division of Gastroenterology and Hepatology Johns Hopkins UniversityBaltimoreMD 21287United States Liver Transplant Center and BiostatisticsEpidemiologyand Scientific Computing DepartmentKing Faisal Specialist Hospital&Research CenterRiyadh 11564Saudi Arabia Liver Center IRCCS San Raffaele HospitalMilan 20132Italy

Globally,hepatocellular carcinoma(HCC)is a frequently diagnosed malignancy with rapidly increasing incidence and mortality ***,many of these patients are diagnosed in the advanced stages when locoregional treatments are not *** 2008,no effective drug treatments existed to prolong survival,until the breakthrough multi-tyrosine kinase inhibitor(TKI)sorafenib was *** remained the standard treatment option for advanced HCC for 10 years,with a battery of other candidate drugs in clinical trials failing to produce similar efficacy *** 2018,the REFLECT trial introduced another multi-TKI,lenvatinib,which has non-inferior overall survival compared with ***,offering patients and their treating physicians two effective treatment ***,immunotherapy-based drugs,such as atezolizumab and bevacizumab,have shown promising results in patients with unresectable *** review summarizes clinical trial and real-world data studies of sorafenib and lenvatinib in patients with unresectable *** offer guidance on the optimal choice between the two treatments and discuss the potential of immunotherapy-based combination;when more data become available,this will likely make the choice between sorafenib and lenvatinib somewhat obsolete.

关键词： Hepatocellular carcinoma Immune checkpoint inhibitor Lenvatinib Multityrosine kinase inhibitor Sorafenib

Embodied Faith and the Limits of Female Agency in Randa Abdel-Fattah's Does My Head Look Big in This?

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Fudan Journal of the Humanities and Social Sciences 2023年第1期16卷 23-39页

作者： saleh Chaoui University of Debrecen DebrecenHungary Sidi Mohamed Ben Abdullah University FezMorocco

The present essay discusses Randa Abdel-Fattah's Does My Head Look Big in This?by focusing on the rendition of Islam as an axis of social agency in an environment that is excessively antagonistic of any version of Islam that falls outside the contours of the "liberal model"morphed by the Western creed of equality,***,the protagonist,embodies the dilemmas of choice and agency within an ideological rubric which disassociates such notions from faith-based *** analysis relies on the notion of Muslim agency as theorized by Saba Mahmood,for whom the conscious formation of deeply rooted religious subjectivities is sidelined within the modern secular rubrics of *** article also draws on W.E.B Du Bois's concept of double consciousness to highlight the extent to which Muslim female bodies are caught at the intersection between religion and ***,this essay discloses the challenges facing Muslim women whose exercise of agency is tied to their religious beliefs in a backdrop characterized by multicultural and secular *** particularly,it explores Amal's religious tradition of habituated practices-such as wearing the veil in a hostile environment--as embodiments of autonomous agency.

关键词： Religious agency Muslim women Performativity Hijab Double consciousness

Energy and Thermodynamics of the Quantum-Corrected Schwarzschild Black Hole

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Chinese Physics Letters 2017年第8期34卷 21-24页

作者： Mahamat saleh Bouetou Bouetou Thomas Timoleon Crepin Kofane Department of Physics Higher Teachers' Training College University of Maroua Maroua 55 Cameroon Ecole Nationale Supérieure Polytechnique University of Yaounde I Yaounde 8390 Cameroon The African Center of Excellence in Information and Communication Technologies University of Yaounde I Yaounde 8390 Cameroon The Abdus Salam International Centre for Theoretical Physics Trieste II-34014 Italy Department of Physics Faculty of Science University of Yaounde I Yaounde 812 Cameroon

Energy and thermodynamics are investigated in the Schwarzschild black hole spacetime when considering corrections due to quantum vacuum fluctuations. The Einstein and M？ller prescriptions are used to derive the expressions of the energy in the background. The temperature and heat capacity are also derived. The results show that due to the quantum fluctuations in the background of the Schwarzschild black hole, all the energies increase and the Einstein energy differs from M？ller＇s one. Moreover, when increasing the quantum correction factor aa, the difference between Einstein and M？ller energies, the Unruh–Verlinde temperature as well as the heat capacity of the black hole increases while the Hawking temperature remains unchanged.

关键词： Energy and Thermodynamics of the Quantum-Corrected Schwarzschild Black Hole

Defect Prediction Using Akaike and Bayesian Information Criterion

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Computer Systems Science & Engineering 2022年第6期41卷 1117-1127页

作者： saleh Albahli Ghulam Nabi Ahmad Hassan Yar Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Electrical and Computer Engineering Air UniversityIslamabadPakistan

Data available in software engineering for many applications contains variability and it is not possible to say which variable helps in the process of the *** of the work present in software defect prediction is focused on the selection of best prediction *** this purpose,deep learning and ensemble models have shown promising *** contrast,there are very few researches that deals with cleaning the training data and selection of best parameter values from the *** data available for training the models have high variability and this variability may cause a decrease in model *** deal with this problem we used the Akaike information criterion(AIC)and the Bayesian information criterion(BIC)for selection of the best variables to train the model.A simple ANN model with one input,one output and two hidden layers was used for the training instead of a very deep and complex *** and BIC values are calculated and combination for minimum AIC and BIC values to be selected for the best *** first,variables were narrowed down to a smaller number using correlation *** subsets for all the possible variable combinations were *** the end,an artificial neural network(ANN)model was trained for each subset and the best model was selected on the basis of the smallest AIC and BIC *** was found that combination of only two variables’ns and entropy are best for software defect prediction as it gives minimum AIC and BIC ***,nm and npt is the worst combination and gives maximum AIC and BIC values.

关键词： Software defect prediction machine learning AIC BIC model selection cross-project defect prediction

Cultural and creative sectors at a crossroad:from a mainstream process towards an active engagement

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Built Heritage 2021年第3期5卷 49-64页

作者： Christian Ost Ruba saleh Raymond Lemaire International Conservation Centre KU Leuven UniversityKasteelpark Arenberg 1B-3001 HeverleeBelgium ICHEC Brussels Management School Brussels4 Boulevard Brand Whitlock1150 BrusselsBelgium

The COVID-19 pandemic has led to a current global health crisis with dreadful repercussions all over the world.A global economic recession is anticipated,with strong impacts in all economic and social sectors,including the cultural *** all sub sectors will be impacted(heritage sites,theatres,museums,operas,art galleries),the cultural built heritage is particularly at stake,as it relies on multiple stakeholders through a wide range of heritage-related activities(tourism,recreation,housing,real estate,construction,craftsmanship,etc.).Sites management and heritage conservation have not only been vulnerable to strong economic and social disruptions,like most of other cultural fields,but have been greatly challenged because heritage values and the paradigm of conservation(50 years after adoption of the UNESCO convention)are being themselves revisited in the perspective of the Sustainable Development *** paper aims also to consider cultural heritage as part of the Cultural and Creative Sectors(CCS)and how creativity and innovation contribute to post-COVID recoveries through Schumpeter-related creative destruction *** current crisis might be perceived in a perspective of long wave theory of innovations and economic *** economic history is filled with many examples of such transition period when inventions,innovations,and growth reactivate the economic development in an upward long-term *** such framework,crisis can trigger innovation and creativity and can be understood as opportunity to increase the CCS resilience and sustainability,as well as harness the universality and the power of ***,the paper aims to describe implications of such situation by providing to the CCS ways to learn and experience cultural entrepreneurship,resilient strategies,new sustainable and circular business models applied to the cultural heritage sector and its conservation.

关键词： Cultural and creative sectors(CCS) Cultural heritage Cultural entrepreneurship Long wave theory Sustainable and circular business model COVID-19 Cultural resilience

Quasi-Normal Modes of Gravitational Perturbation around a Reissner-Nordstroem Black Hole Surrounded by Quintessence

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Chinese Physics Letters 2009年第10期26卷 228-231页

作者： Mahamat saleh Bouetou Bouetou Thomas Timoleon Crepin Kofane Department of Physics Faculty of Science University of Yaounde I PO Box 812 Cameroon Ecole Nationale Supérieure Polytechnique University of Yaounde I PO Box 8390 Cameroon The Abdus Salam International Centre for Theoretical Physics PO Box 586 Strada Costiera Ⅱ-34014 Trieste Italy

We investigate quasi-normal （QN） modes of gravitational perturbation around a Reissner-Nordstroem black hole surrounded by quintessence. The third-order Wentzel-Kramers-Brillouin approximation is used to evaluate QN frequencies. The behavior of the gravitational perturbation is plotted for some frequencies. Due to the presence of quintessence, QN modes of the Reissner-Nordstroem black hole damp at a slower rate.

关键词： Gravitation and cosmology Astrophysics and astroparticles

Effective Frameworks Based on Infinite Mixture Model for Real-World Applications

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Computers, Materials & Continua 2022年第7期72卷 1139-1156页

作者： Norah saleh Alghamdi Sami Bourouis Nizar Bouguila Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia College of Computers and Information Technology Taif UniversityTaif21944Saudi Arabia The Concordia Institute for Information Systems Engineering(CIISE) Concordia UniversityMontrealQC H3G 1T7Canada

Interest in automated data classification and identification systems has increased over the past years in conjunction with the high demand for artificial intelligence and security *** particular,recognizing human activities with accurate results have become a topic of high *** the current tools have reached remarkable successes,it is still a challenging problem due to various uncontrolled environments and *** this paper two statistical frameworks based on nonparametric hierarchical Bayesian models and Gamma distribution are proposed to solve some realworld *** particular,two nonparametric hierarchical Bayesian models based on Dirichlet process and Pitman-Yor process are *** models are then applied to address the problem of modelling grouped data where observations are organized into groups and these groups are statistically linked by sharing mixture *** choice of the Gamma mixtures is motivated by its flexibility for modelling heavy-tailed *** addition,deploying the Dirichlet process prior is justified by its advantage of automatically finding the right number of components and providing nice ***,a learning step via variational Bayesian setting is presented in a flexible *** priors over the parameters are selected appropriately and the posteriors are approximated effectively in a closed *** results based on a real-life applications that concerns texture classification and human actions recognition show the capabilities and effectiveness of the proposed framework.

关键词： Infinite Gamma mixture model variational Bayes hierarchical Dirichlet process Pitman-Yor process texture classification human action recognition

Effects of the number of particles and coordination number on viscous-flow agglomerate sintering

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Particuology 2019年第2期17卷 76-83页

作者： Mohammadmahdi Kamyabi Khashayar saleh Rahmat Sotudeh-Gharebagh Reza Zarghami Multiphase Systems Research Laboratory School of Chemical Engineering College of Engineering University of Tehran Tehran 11155/4563 Iran Sorbonne University/Compiegne University of Technology EA 4297 Transformations Integrees de la Matiere renouvelable France

The process of sinteri ng of several particles in con tact via a viscous flow mecha nism was studied numerically using computational fluid dynamics. The volume of fluid technique within a finite volume method was used to simulate bridge formation between particles, as well as densification at different configurational states of the particles. The method was validated by comparing results for two-particle coalescence with the *** effect of the numberof particles on agglomerati on kin etics was studied by comparing bridge growth rate for systems having different numbers of particles in a chain. Although increasing the number of particles led to a decrease in the local bridge growth rate and to slower equilibration, there were no marked differences, when the overall volume of the system was considered. The effect of coordination number on the densification rate was directly studied by changing the number of particles in contact with a central *** the coordination nurnbec caused the overall rate of densificatio n to in crease, but delayed equilibration, analogous to steric effects. These findi ngs describe the con figurational state of agglomerates, typical of mesoscale caking. In a multi-scale study, they can be used to characterize caking at a bulk scale to partly address the lack of experimental data in this field.

关键词： Caking Agglomeration Sintering Viscous flow mechanism Volume of fluid Coordination number