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Extended Deep Learning Algorithm for Improved Brain Tumor Diagnosis System

Intelligent Automation & Soft Computing 2024年第1期39卷 33-55页

作者： m.Adimoolam K.maithili N.m.Balamurugan R.Rajkumar S.Leelavathy Raju Kannadasan mohd Anul Haq Ilyas Khan elsayed m.tag el din Arfat Ahmad Khan Department of Computer Engineering Government Polytechnic CollegeSevvapetTiruvallurTamil Nadu602025India Department of Computer Science and Engineering KG Reddy College of Engineering and TechnologyHyderabadTelangana500075India Department of Computer Science and Engineering Sri Venkateswara College of EngineeringSriperumbudurChennai602117India Department of Computer Science and Engineering Annamalai UniversityChidambaramTamil Nadu608002India Department of Computer Science and Engineering Aarupadai Veedu Institute of TechnologyVinayaka Mission Research FoundationPaiyanurTamil Nadu603104India Department of electrical and electronics Engineering Sri Venkateswara College of EngineeringSriperumbudur602117India Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia electrical Engineering Department Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer Science College of ComputingKhon Kaen UniversityKhon Kaen40002Thailand

At present,the prediction of brain tumors is performed using machine Learning(mL)and Deep Learning(DL)*** various mL and DL algorithms are adapted to predict brain tumors to some range,some concerns still need enhancement,particularly accuracy,sensitivity,false positive and false negative,to improve the brain tumor prediction system ***,this work proposed an Extended Deep Learning Algorithm(EDLA)to measure performance parameters such as accuracy,sensitivity,and false positive and false negative *** addition,these iterated measures were analyzed by comparing the EDLA method with the Convolutional Neural Network(CNN)way further using the SPSS tool,and respective graphical illustrations were *** results were that the mean performance measures for the proposed EDLA algorithm were calculated,and those measured were accuracy(97.665%),sensitivity(97.939%),false positive(3.012%),and false negative(3.182%)for ten *** in the case of the CNN,the algorithm means accuracy gained was 94.287%,mean sensitivity 95.612%,mean false positive 5.328%,and mean false negative 4.756%.These results show that the proposed EDLA method has outperformed existing algorithms,including CNN,and ensures symmetrically improved *** EDLA algorithm introduces novelty concerning its performance and particular activation *** proposed method will be utilized effectively in brain tumor detection in a precise and accurate *** algorithm would apply to brain tumor diagnosis and be involved in various medical diagnoses *** the quantity of dataset records is enormous,then themethod’s computation power has to be updated.

关键词： Brain tumor extended deep learning algorithm convolution neural network tumor detection deep learning

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Optimal Location to Use Solar Energy in an Urban Situation

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Computers, materials & Continua 2023年第4期75卷 815-829页

作者： Ngakan Ketut Acwin Dwijendra Indrajit Patra N.Bharath Kumar Iskandar muda elsayed m.tag el din Faculty of Engineering Udayana UniversityBali80361Indonesia An Independent Researcher NIT DurgapurWest Bengal700027India Department of electrical and electronics Engineering Vignan’s Foundation for Science Technology and ResearchGuntur522001India Department of Doctoral Program Faculty Economic and BusinessUniversitas Sumatera UtaraMedan20222Indonesia electrical Engineering Department Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11835Egypt

This study conducted in Lima, Peru, a combination of spatial decisionmaking system and machine learning was utilized to identify potentialsolar power plant construction sites within the city. Sundial measurementsof solar radiation, precipitation, temperature, and altitude were collectedfor the study. Gene Expression Programming (GEP), which is based on theevolution of intelligent models, and Artificial Neural Networks (ANN) wereboth utilized in this investigation, and the results obtained from each werecompared. Eighty percent of the data was utilized during the training phase,while the remaining twenty percent was utilized during the testing phase. Onthe basis of the findings, it was determined that the GEP is the most suitablenetwork for predicting the location. The test state’s Nash-Sutcliffe efficiency(NSE) was 0.90, and its root-mean-square error (RmSE) was 0.04. Followingthe generation of the final map based on the results of the GEP model, itwas determined that 9.2% of the province’s study area is suitable for theconstruction of photovoltaic solar power plants, while 53.5% is acceptable and37.3% is unsuitable. The ANN model reveals that only 1.7% of the study areais suitable for the construction of photovoltaic solar power plants, while 66.8%is acceptable and 31.5% is unsuitable.

关键词： Solar energy renewable energy machine learning

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multi-Objective Optimization of External Louvers in Buildings

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Computers, materials & Continua 2023年第4期75卷 1305-1316页

作者： Tzu-Chia Chen Ngakan Ketut Acwin Dwijendra I.Wayan Parwata Agata Iwan Candra elsayed m.tag el din Department of Industrial Engineering and management Ming Chi University of TechnologyNew Taipei City24301Taiwan Department of Architecture Faculty of EngineeringUdayana UniversityBali80361Indonesia Faculty of Engineering Warmadewa UniversityBaliIndonesia Department of Civil Engineering Faculty of EngineeringKadiri UniversityKediriIndonesia electrical Engineering Department Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11835Egypt

Because solar energy is among the renewable energies,it has traditionally been used to provide lighting in *** solar energy is effectively utilized during the day,the environment is not only more comfortable for users,but it also utilizes energy more efficiently for both heating and cooling *** of this,increasing the building’s energy efficiency requires first controlling the amount of light that enters the *** that the only parts of the building that come into direct contact with the sun are the windows,it is essential to make use of louvers in order to regulate the amount of sunlight that enters the *** the use of Ant Colony Optimization(ACO),the purpose of this study is to estimate the proportions and technical specifications of external louvers,as well as to propose a model for designing the southern openings of educational space in order to maximize energy efficiency and intelligent consumption,as well as to ensure that the appropriate amount of light is *** to the findings of this research,the design of external louvers is heavily influenced by a total of five distinct aspects:the number of louvers,the depth of the louvers,the angle of rotation of the louvers,the distance between the louvers and the window,and the reflection coefficient of the *** results of the 2067 simulated case study show that the best reflection rates of the louvers are between 0 and 15 percent,and the most optimal distance between the louvers and the window is in the range of 0 to 18 ***,the results show that the best distance between the louvers and the window is in the range of 0 to 18 centimeters.

关键词： Ant colony optimization energy consumption multi-objective optimization louvre

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Design and Analysis of Graphene Based Tunnel Field Effect Transistor with Various Ambipolar Reducing Techniques

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Computers, materials & Continua 2023年第7期76卷 1309-1320页

作者： Puneet Kumar mishra Amrita Rai Nitin Sharma Kanika Sharma Nitin mittal mohd Anul Haq Ilyas Khan elsayed m.tag el din Department of electronics and Communication Engineering G L Bajaj Institute of Technology and ManegmentGretear NoidaIndia Department of electronics and Communication Engineering Chandigarh UnievrsityMohaliPunjabIndia Department of electronics and Communication Engineering NITTTRChandigarhIndia University Center of Research&Development Chandigarh UniversityMohali121102India Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of mathematics College of Science Al-ZulfiMajmaah University11952Al-MajmaahSaudi Arabia electrical Engineering Department Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11835Egypt

The fundamental advantages of carbon-based graphene material,such as its high tunnelling probability,symmetric band structure(linear dependence of the energy band on the wave direction),low effective mass,and characteristics of its 2D atomic layers,are the main focus of this research *** impact of channel thickness,gate under-lap,asymmetric source/drain doping method,workfunction of gate contact,and High-K material on Graphene-based Tunnel Field Effect Transistor(TFET)is analyzed with 20 nm *** modelling and electrical characteristic performance have been simulated using the Atlas device simulator of SILVACO TCAD with user-defined material syntax for the newly included graphene material in comparison to silicon carbide(SiC).The simulation results in significant suppression of ambipolar current to voltage characteristics of TFET and modelled device exhibits a significant improvement in subthreshold swing(0.0159 V/decade),the ratio of Ion/Ioff(1000),and threshold voltage(-0.2 V with highly doped p-type source and 0.2 V with highly doped n-type drain)with power supply of 0.5 V,which make it useful for low power digital applications.

关键词： Graphene tunnel field effect transistor(TFET) band to band tunnelling subthreshold swing

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Differential Evolution with Arithmetic Optimization Algorithm Enabled multi-Hop Routing Protocol

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Computer Systems Science & Engineering 2023年第5期45卷 1759-1773页

作者： manar Ahmed Hamza Haya mesfer Alshahrani Sami Dhahbi mohamed K Nour mesfer Al Duhayyim elsayed m.tag el din Ishfaq Yaseen Abdelwahed motwakel Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversityAbha62529Saudi Arabia Department of Computer Science College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Department of electrical Engineering Faculty of Engineering and TechnologyFuture University in EgyptNew Cairo11845Egypt

Wireless Sensor Networks(WSN)has evolved into a key technology for ubiquitous living and the domain of interest has remained active in research owing to its extensive range of *** spite of this,it is challenging to design energy-efficient *** routing approaches are leveraged to reduce the utilization of energy and prolonging the lifespan of *** order to solve the restricted energy problem,it is essential to reduce the energy utilization of data,transmitted from the routing protocol and improve network *** this background,the current study proposes a novel Differential Evolution with Arithmetic Optimization Algorithm Enabled multi-hop Routing Protocol(DEAOA-mHRP)for *** aim of the proposed DEAOA-mHRP model is select the optimal routes to reach the destination in *** accomplish this,DEAOA-mHRP model initially integrates the concepts of Different Evolution(DE)and Arithmetic Optimization Algorithms(AOA)to improve convergence rate and solution ***,the inclusion of DE in traditional AOA helps in overcoming local optima *** addition,the proposed DEAOA-mRP technique derives a fitness function comprising two input variables such as residual energy and *** order to ensure the energy efficient performance of DEAOA-mHRP model,a detailed comparative study was conducted and the results established its superior performance over recent approaches.

关键词： Wireless sensor network routing multihop communication arithmetic optimization algorithm fitness function

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Role of endoscopic ultrasound in the characterization of solid pseudopapillary neoplasm of the pancreas

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World Journal of Gastrointestinal Endoscopy 2023年第4期15卷 273-284页

作者： Katarzyna m Pawlak Nadeem Tehami Ben maher Shujaath Asif Krishn Kant Rawal Daniel Vasile Balaban mohammed tag-Adeen Fahd Ghalim Wael A Abbas elsayed Ghoneem Khaled Ragab mahmoud el-Ansary Shanil Kadir Sunil Amin Keith Siau Anna Wiechowska-Kozlowska Klaus mönkemüller Dalia Abdelfatah Abeer Abdellatef Sundeep Lakhtakia Hussein Hassan Okasha Endoscopy Unit Department of GastroenterologyHospital of The Ministry of Interior and AdministrationSzczecin 01-218Poland Interventional Endoscopy Unit University Hospital Southampton NHS Foundation Trust3AX POUnited Kingdom Consultant Gastroenterologist AIG HospitalsHyderabad 500032India Department of Gastroenterology Prime Institute of Digestive SciencesRajkot 360001India Department of Gastroenterology Central Military Emergency University HospitalCarol Davila University of Medicine and PharmacyBucharest 010011Romania Division of Gastroenterology and Hepatology Department of Internal MedicineQena Faculty of MedicineSouth Valley UniversityQena 83511Egypt Department of Endoscopy Shefa Al-Orman HospitalLuxor 85951Egypt Interventional Endoscopy Unit Sainte Marie HospitalOSNY 95520France Department of Internal medicine Gastroenterology UnitFaculty of MedicineAssuit UniversityAssuit 71511Egypt Department of Gastroenterology and Hepatology Faculty of MedicineMansoura UniversityMansoura 35511Egypt Department of Hepatology and Gastroenterology Theodor Bilharz Research InstituteGiza 12511Egypt Department of Hepatology&Gastroenterology Theodor Bilharz Research InstituteGiza 12511Egypt Department of Gastroenterology Liaquat National Hospital&Medical CollegeKarachi 75900Pakistan

BACKGROUND Solid pseudopapillary neoplasm(SPN)is an uncommon pathology of the pancreas with unpredictable malignant *** ultrasound(EUS)assessment plays a vital role in lesion characterization and confirmation of the tissue ***,there is a paucity of data regarding the imaging assessment of these *** To determine the characteristic EUS features of SPN and define its role in preoperative *** This was an international,multicenter,retrospective,observational study of prospective cohorts from 7 large hepatopancreaticobiliary *** cases with postoperative histology of SPN were included in the *** collected included clinical,biochemical,histological and EUS *** One hundred and six patients with the diagnosis of SPN were *** mean age was 26 years(range 9 to 70 years),with female predominance(89.6%).The most frequent clinical presentation was abdominal pain(80/106;75.5%).The mean diameter of the lesion was 53.7 mm(range 15 to 130 mm),with the slight predominant location in the head of the pancreas(44/106;41.5%).The majority of lesions presented with solid imaging features(59/106;55.7%)although 33.0%(35/106)had mixed solid/cystic characteristics and 11.3%(12/106)had cystic *** was observed in only 4(3.8%)*** pancreatic duct dilation was uncommon,evident in only 2 cases(1.9%),whilst common bile duct dilation was observed in 5(11.3%)*** patient demonstrated a double duct sign at *** and Doppler evaluation demonstrated inconsistent appearances with no emergence of a predictable *** guided biopsy was performed using three different types of needles:Fine needle aspiration(67/106;63.2%),fine needle biopsy(37/106;34.9%),and Sonar Trucut(2/106;1.9%).The diagnosis was conclusive in 103(97.2%)***-seven patients were treated surgically(91.5%)and the post-surgical SPN diagnosis was confirmed in all *** the 2-year

关键词： Solid pseudopapillary neoplasm SPN Frantz tumor Endoscopic ultrasound features EUSguided biopsy Fine needle aspiration/biopsy

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COmPARATIVE STUDIES ON SEROLOGICAL AND elECTROPHORETIC PROTEIN PATTERNS OF COTTON AND PATHOGENIC AND NONPATHOGENIC ISOLATES OF FUSARIUm SPP

COMPARATIVE STUDIES ON SEROLOGICAL AND ELECTROPHORETIC PROTE...

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The ⅩⅤth International Plant Protection Congress

作者： E.m.HUSSEIN m.A.tag el-din m.T.m.mansour A.A.ALY Plant Pathology Research Institute Agric.Res.Center Giza Egypt Biochemistry Dept.faculty of Agric. Ain Shams Univ. Shoubra El-Kheima Cairo-Egypt Plant Pathology Research Institute Agric.Res.Center Giza Egypt Plant Pathology Research Institute Agric.Res.Center Giza Egypt

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Prediction of Response to Neoadjuvant Chemotherapy in Egyptian Patients with Locally Advanced Breast Cancer: The Evolving Role of Tumour Infiltrating Lymphocytes (TILs)

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Journal of Cancer Therapy 2020年第4期11卷 206-219页

作者： manal m. el-mahdy Riham A. Ibrahim Radwa m. Hamed mohamaad S. elkady Walid A. Bayoumy Zeinab m. elsayed mai m. Ezz-el-din Department of Pathology Ain Shams University Cairo Egypt International medical Center Cairo Egypt Department of Clinical Oncology Faculty of Medicine Ain Shams University Cairo Egypt

Background & objectives:?Presence of TILs in breast cancer indicates better therapeutic responses to neoadjuvant chemotherapy (NAC), increased pCR and improved outcome. We aim at evaluation of TILs in breast cancer biopsies in correlation with pathological response after NAC in locally advanced breast cancer methods. This study was conducted at Ain Shams university hospital and maadi military hospital in Egypt. 45 Female patients with locally advanced breast cancer were treated with NAC;?pathological response was assessed. Tumours were categorized into: luminal A, luminal B, Her2 enriched and TNBC. Assessment of TILs (CD4 and CD8 lymphocytes) was based on Immuno-Oncology Biomarker Working Group guidelines.?Results:?Tumours were classified into high and low TIL groups using the interquartile range cutoff (29%). High CD4 group showed increased pCR (p?= 0.003) and smaller residual tumours (p?= 0.04). High CD8 group showed a significant association with smaller residual tumours (p?= 0.003). At follow-up of 24-months, CD4 and CD8 high groups showed significantly higher 2-years DFS. The difference between CD4 high and low groups was significant in regards to estrogen receptor status, showing higher levels in hormone-negative tumors (p = 0.029). Patients with Her2 subtype showed higher CD4 (p = 0.007) and CD8 expression (p = 0.018). In CD4 & CD8 low groups, more patients developed local recurrence and distant metastasis (p = 0.025). Conclusion:?We concluded that TILs may predict response to NAC and overall prognosis of breast cancer. The evaluation of TILs in correlation with morphological or genomics-based parameters helps to stratify patients of breast cancer.

关键词： Breast Cancer Lymphocytes Neoadjuvant Chemotherapy

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