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Block-Wise Neural Network for Brain Tumor Identification in Magnetic Resonance Images

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Computers, Materials & Continua 2022年第12期73卷 5735-5753页

作者： Abdullah A.Asiri Muhammad Aamir Ahmad Shaf Tariq ali Muhammad Zeeshan Muhammad Irfan Khalaf A.Alshamrani hassan A.Alshamrani Fawaz F.Alqahtani ali h.d.alshehri Radiological Sciences department College of Applied Medical SciencesNajran UniversityNajran 61441Saudi Arabia department of Computer Science COMSATS University IslamabadSahiwal CampusSahiwal57000Pakistan department of Computer Science Bahauddin Zakariya UniversityMultan 66000Pakistan Electrical Engineering department College of EngineeringNajran UniversityNajran61441Saudi Arabia

The precise brain tumor diagnosis is critical and shows a vital role in the medical support for treating tumor *** brain tumor segmentation for cancer analysis from many Magnetic Resonance Images(MRIs)created in medical practice is a problematic and timewasting task for *** a result,there is a critical necessity for more accurate computeraided methods for early tumor *** remove this gap,we enhanced the computational power of a computer-aided system by proposing a finetuned Block-Wise Visual Geometry Group19(BW-VGG19)*** this method,a pre-trained VGG19 is fine-tuned with CNN architecture in the block-wise mechanism to enhance the system`s *** publicly accessible Contrast-Enhanced Magnetic Resonance Imaging(CE-MRI)dataset collected from 2005 to 2020 from different hospitals in China has been used in this *** proposed method is simple and achieved an accuracy of 0.98%.We compare our technique results with the existing Convolutional Neural network(CNN),VGG16,and VGG19 *** results indicate that our proposed technique outperforms the best results associated with the existing methods.

关键词： CNN brain tumor block-wise structure VGG19 VGG16

Vagus nerve stimulation in intracerebral hemorrhage:the need for further research

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Neural Regeneration Research 2025年第11期20卷 3213-3214页

作者： Sheharyar S.Baig ali N.ali Arshad Majid Sheffield Institute for Translational Neuroscience Division of NeuroscienceThe University of SheffieldSheffieldUK

Vagus nerve stimulation(VNS)and stroke:Stroke is the second leading cause of death and the third leading cause of disability worldwide(Baig et al.,2023).There have been significant paradigm shifts in the management of acute ischemic stroke through mechanical *** chronic ischemic stroke,invasive VNS paired with rehabilitation is associated with a significant increase in upper limb motor recovery and is FdA-approved(Baig et al.,2023).There are no treatments of similar efficacy in acute intracerebral hemorrhage(ICh)where several promising trials,e.g.,TICh-2,STOP-AUST,and TRAIGE did not show improvements in functional outcomes(Puy et al.,2023).

关键词： stimulation acute

Cyberattack detection Framework Using Machine Learning and User Behavior Analytics

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Computer Systems Science & Engineering 2023年第2期44卷 1679-1689页

作者： Abdullah alshehri Nayeem Khan ali Alowayr Mohammed Yahya Alghamdi Information Technology department Faculty of Computer Science and Information TechnologyAl Baha UniversityAl Baha65799Saudi Arabia Computer Science department Faculty of Science and Arts at BuljurashiAl Baha UniversityAl Baha65799Saudi Arabia

This paper proposes a novel framework to detect cyber-attacks using Machine Learning coupled with User Behavior *** framework models the user behavior as sequences of events representing the user activities at such a *** represented sequences are thenﬁtted into a recurrent neural network model to extract features that draw distinctive behavior for individual ***,the model can recognize frequencies of regular behavior to proﬁle the user manner in the *** subsequent procedure is that the recurrent neural network would detect abnormal behavior by classifying unknown behavior to either regu-lar or irregular *** importance of the proposed framework is due to the increase of cyber-attacks especially when the attack is triggered from such sources inside the *** detecting inside attacks are much more challenging in that the security protocols can barely recognize attacks from trustful resources at the network,including ***,the user behavior can be extracted and ultimately learned to recognize insightful patterns in which the regular patterns reﬂect a normal network workﬂ*** contrast,the irregular patterns can trigger an alert for a potential *** framework has been fully described where the evaluation metrics have also been *** experimental results show that the approach performed better compared to other approaches and AUC 0.97 was achieved using RNN-LSTM *** paper has been concluded with pro-viding the potential directions for future improvements.

关键词： Cybersecurity deep learning machine learning user behavior analytics

Mordell Elliptic Curve Based design of Nonlinear Component of Block Cipher

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Computers, Materials & Continua 2022年第11期73卷 2913-2930页

作者： hafeez ur Rehman Tariq Shah Mohammad Mazyad hazzazi ali alshehri Bassfar Zaid department of Mathematics Quaid-i-Azam UniversityIslamabadPakistan department of Mathematics College of ScienceKing Khalid UniversityAbhaSaudi Arabia department of Computer Science University of TabukTabuk71491Saudi Arabia department of Information Technology University of TabukTabuk71491Saudi Arabia

Elliptic curves(ECs)are deemed one of the most solid structures against modern computational attacks because of their small key size and high *** many well-known cryptosystems,the substitution box(Sbox)is used as the only nonlinear portion of a security ***,it has been shown that using dynamic S-boxes rather than static S-boxes increases the security of a *** conferred study also extends the practical application of ECs in designing the nonlinear components of block ciphers in symmetric key *** this study,instead of the Mordell elliptic curve(MEC)over the prime field,the Galois field has been engaged in constructing the S-boxes,the main nonlinear component of the block ***,the proposed scheme uses the coordinates of MEC and the operation of the Galois field to generate a higher number of S-boxes with optimal nonlinearity,which increases the security of *** proposed S-boxes resilience against prominent algebraic and statistical attacks is evaluated to determine its potential to induce confusion and produce acceptable results compared to other ***,the majority logic criteria(MLC)are used to assess the new S-boxes usage in the image encryption application,and the outcomes indicate that they have significant cryptographic strength.

关键词： Galois field Mordell elliptic curve nonlinearity substitution box

Machine Learning Based Psychotic Behaviors Prediction from Facebook Status Updates

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Computers, Materials & Continua 2022年第8期72卷 2411-2427页

作者： Mubashir ali Anees Baqir hafiz husnain Raza Sherazi Asad hussain Asma hassan alshehri Muhammad ali Imran department of Management Information and Production EngineeringUniversity of BergamoBergamo24129Italy department of Environmental Sciences Informatics and StatisticsCa’Foscari University of VeniceVenice30123Italy School of Computing and Engineering University of West LondonLondonW55RFUK department of Engineering and Applied Sciences University of BergamoBergamo24129Italy durma College of Science and humanities Shaqra UniversityShaqra11961Saudi Arabia School of Engineering University of GlasgowGlasgowG128QQUK

With the advent of technological advancements and the widespread Internet connectivity during the last couple of decades,social media platforms(such as Facebook,Twitter,and Instagram)have consumed a large proportion of time in our daily *** tend to stay alive on their social media with recent updates,as it has become the primary source of interactionwithin social *** social media platforms offer several remarkable features but are simultaneously prone to various critical *** studies have revealed a strong correlation between the usage of social media and associated mental health issues consequently leading to depression,anxiety,suicide commitment,and mental disorder,particularly in the young adults who have excessively spent time on socialmedia which necessitates a thorough psychological analysis of all these *** study aims to exploit machine learning techniques for the classification of psychotic issues based on Facebook status *** this paper,we start with depression detection in the first instance and then expand on analyzing six other psychotic issues(e.g.,depression,anxiety,psychopathic deviate,hypochondria,unrealistic,and hypomania)commonly found in adults due to extreme use of social media *** classify the psychotic issues with the user’s mental state,we have employed different Machine Learning(ML)classifiers i.e.,Random Forest(RF),Support Vector Machine(SVM),Naïve Bayes(NB),and K-Nearest Neighbor(KNN).The used ML models are trained and tested by using different combinations of features selection *** observe themost suitable classifiers for psychotic issue classification,a cost-benefit function(sometimes termed as‘Suitability’)has been used which combines the accuracy of the model with its execution *** experimental evidence argues that RF outperforms its competitor classifiers with the unigram feature set.

关键词： Psychotic behaviors mental health socialmedia machine learning

The electrical impedance, AC conductivity and dielectric properties of phenol red compound investigated and modeled by an artificial neural network

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Communications in Theoretical Physics 2020年第10期72卷 139-148页

作者： h A M ali d M habashy Physics department Faculty of EducationAin Shams UniversityRoxyCairo 11757Egypt

The impedance spectroscopy,electrical conductivity and electric modulus of bulk phenol red were measured,as a function of both frequency and *** neural networks(ANNs)were used for modeling its electrical *** two parts(real and imaginary)of its complex impedance(Z^*)were analyzed and the activation energy related to the electrical relaxation process was *** curves were plotted showing semicircles for the different *** AC electrical conductivity follows a power lawσac(ω)αω^η.The maximum barrier height Bm was derived for specific temperatures.A plausible mechanism for the AC conduction of bulk phenol red was deduced from the temperature reliance of the frequency *** dielectric data was analyzed using electric modulus as a *** addition,ANNs were used to model the impedance parts and the total electrical *** runs were tried,to obtain the best *** training and prediction results were compared to the equivalent experimental results,with a good match *** equation describing the experimental results was obtained mathematically,based on the use of *** outputs demonstrated that ANNs are an admirable tool for modeling experimental results.

关键词： phenol red impedance spectroscopy electric modulus neural network

Complement-dependent neuroinflammation in spinal cord injury:from pathology to therapeutic implications

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Neural Regeneration Research 2025年第5期20卷 1324-1335页

作者： hassan Saad Bachar El Baba ali Tfaily Firas Kobeissy Juanmarco Gutierrez Gonzalez daniel Refai Gerald R.Rodts Christian Mustroph david Gimbel Jonathan Grossberg daniel L.Barrow Matthew F.Gary ali M.Alawieh department of Neurosurgery Emory University School of MedicineAtlantaGAUSA department of Neurology Yale UniversityNew HavenCTUSA Center for Neurotrauma Multiomics&Biomarkers(CNMB)Morehouse School of MedicineAtlantaGAUSA

Spinal cord injury remains a major cause of disability in young adults,and beyond acute decompression and rehabilitation,there are no pharmacological treatments to limit the progression of injury and optimize recovery in this *** the thorough investigation of the complement system in triggering and propagating cerebral neuroinflammation,a similar role for complement in spinal neuroinflammation is a focus of ongoing *** this work,we survey the current literature investigating the role of complement in spinal cord injury including the sources of complement proteins,triggers of complement activation,and role of effector functions in the *** study relevant data demonstrating the different triggers of complement activation after spinal cord injury including direct binding to cellular debris,and or activation via antibody binding to damage-associated molecular *** effector functions of complement have been implicated in spinal cord injury,and we critically evaluate recent studies on the dual role of complement anaphylatoxins in spinal cord injury while emphasizing the lack of pathophysiological understanding of the role of opsonins in spinal cord *** this pathophysiological review,we systematically review the different translational approaches used in preclinical models of spinal cord injury and discuss the challenges for future translation into human *** review emphasizes the need for future studies to dissect the roles of different complement pathways in the pathology of spinal cord injury,to evaluate the phases of involvement of opsonins and anaphylatoxins,and to study the role of complement in white matter degeneration and regeneration using translational strategies to supplement genetic models.

关键词： complement neuroinflammation neuroplasticity regeneration spinal cord injury targeted therapy

Recent advances in nanostructured heterogeneous catalysts for N-cycle electrocatalysis

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Nano Research Energy 2022年第2期1卷 3-50页

作者： Jie Liang Qian Liu Abdulmohsen ali alshehri Xuping Sun Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu 610054China Institute for Advanced Study Chengdu UniversityChengdu 610106China Chemistry department Faculty of ScienceKing Abdulaziz UniversityP.O.Box 80203Jeddah 21589Saudi Arabia College of Chemistry Chemical Engineering and Materials ScienceShandong Normal UniversityJinan 250014China

To restore the natural nitrogen cycle(N-cycle),artificial N-cycle electrocatalysis with flexibility,sustainability,and compatibility can convert intermittent renewable energy(e.g.,wind)to harmful or value-added chemicals with minimal carbon *** background of such N-cycles,such as nitrogen fixation,ammonia oxidation,and nitrate reduction,is briefly introduced *** discussion of emerging nanostructures in various conversion reactions is focused on the architecture/compositional design,electrochemical performances,reaction mechanisms,and instructive *** device advancements for achieving more functions as well as in situ/operando characterizations toward understanding key steps are also ***,some recently proposed reactions as well as less discussed C-N coupling reactions are also *** classify inorganic nitrogen sources that convert to each other under an applied voltage into three types,namely,abundant nitrogen,toxic nitrate(nitrite),and nitrogen oxides,and useful compounds such as ammonia,hydrazine,and hydroxylamine,with the goal of providing more critical insights into strategies to facilitate the development of our circular nitrogen economy.

关键词： nitrogen cycle heterogeneous electrocatalyst ammonia synthesis metal−N2 battery

Can We Predict the Change in Code in a Software Product Line Project?

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Journal of Software Engineering and Applications 2020年第6期13卷 91-103页

作者： Yasser ali alshehri Computer Science and Engineering department Yanbu University College Royal Commission Yanbu Saudi Arabia

Software programs are always prone to change for several reasons. In a software product line, the change is more often as many software units are carried from one release to another. Also, other new files are added to the reused files. In this work, we explore the possibility of building a model that can predict files with a high chance of experiencing the change from one release to another. Knowing the files that are likely to face a change is vital because it will help to improve the planning, managing resources, and reducing the cost. This also helps to improve the software process, which should lead to better software quality. Also, we explore how different learners perform in this context, and if the learning improves as the software evolved. Predicting change from a release to the next release was successful using logistic regression, J48, and random forest with accuracy and precision scored between 72% to 100%, recall scored between 74% to 100%, and F-score scored between 80% to 100%. We also found that there was no clear evidence regarding if the prediction performance will ever improve as the project evolved.

关键词： Software Change Proneness Software Quality Machine Learning decision Tree J48 Logistic Regression Naïve Bayes Random Forest data Mining