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EfficientNetB1 Deep LearningModel for Microscopic Lung Cancer Lesion Detection and Classification Using Histopathological Images

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Computers, Materials and Continua 2024年第1期81卷 809-825页

作者： Javed, Rabia Saba, Tanzila alahmadi, Tahani Jaser al-otaibi, sarah alGhofaily, Bayan Rehman, Amjad Department of Computer Science Lahore College forWomen University Lahore 54000 Pakistan Artificial Intelligence & Data Analytics Lab. CCIS Prince Sultan University Riyadh 11586 Saudi Arabia Department of Information Systems College of Computer and Information Sciences Princess Nourah bint Abdulrahman University P.O. Box 84428 Riyadh 11671 Saudi Arabia Department of Computer Science College of Computer and Information Sciences King Saud University Riyadh 145111 Saudi Arabia

Cancer poses a significant threat due to its aggressive nature, potential for widespread metastasis, and inherent heterogeneity, which often leads to resistance to chemotherapy. Lung cancer ranks among the most prevalent forms of cancer worldwide, affecting individuals of all genders. Timely and accurate lung cancer detection is critical for improving cancer patients' treatment outcomes and survival rates. Screening examinations for lung cancer detection, however, frequently fall short of detecting small polyps and cancers. To address these limitations, computer-aided techniques for lung cancer detection prove to be invaluable resources for both healthcare practitioners and patients alike. This research implements an enhanced EfficientNetB1 deep learning model for accurate detection and classification using histopathological images. The proposed technique accurately classifies the histopathological images into three distinct classes: (1) no cancer (benign), (2) adenocarcinomas, and (3) squamous cell carcinomas. We evaluated the performance of the proposed technique using the histopathological (LC25000) lung dataset. The preprocessing steps, such as image resizing and augmentation, are followed by loading a pretrained model and applying transfer learning. The dataset is then split into training and validation sets, with fine-tuning and retraining performed on the training dataset. The model's performance is evaluated on the validation dataset, and the results of lung cancer detection and classification into three classes are obtained. The study's findings show that an enhanced model achieves exceptional classification accuracy of 99.8%. © 2024 The Authors.

关键词： Lung cancer

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A Hybrid and Lightweight Device-to-Server Authentication Technique for the Internet of Things

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Computers, Materials & Continua 2024年第3期78卷 3805-3823页

作者： Shaha al-otaibi Rahim Khan Hashim ali Aftab Ahmed Khan Amir Saeed Jehad ali Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science Abdul Wali Khan University MardanMardan23200Pakistan Department of Computer Science and IT UET PeshawarJalozai Campus PeshawarPeshawar24240Pakistan Department of AI Convergence Network Ajou UniversitySuwon16499South Korea

The Internet of Things(IoT)is a smart networking infrastructure of physical devices,i.e.,things,that are embedded with sensors,actuators,software,and other technologies,to connect and share data with the respective server *** IoTs are cornerstones in different application domains,the device’s authenticity,i.e.,of server(s)and ordinary devices,is the most crucial issue and must be resolved on a priority ***,various field-proven methodologies were presented to streamline the verification process of the communicating devices;however,location-aware authentication has not been reported as per our knowledge,which is a crucial metric,especially in scenarios where devices are *** paper presents a lightweight and location-aware device-to-server authentication technique where the device’s membership with the nearest server is subjected to its location information along with other ***,Media Access Control(MAC)address and Advance Encryption Scheme(AES)along with a secret shared key,i.e.,λ_(i) of 128 bits,have been utilized by Trusted Authority(TA)to generate MaskIDs,which are used instead of the original ID,for every device,i.e.,server and member,and are shared in the offline ***,TA shares a list of authentic devices,i.e.,server S_(j) and members C_(i),with every device in the IoT for the onward verification process,which is required to be executed before the initialization of the actual communication ***,every device should be located such that it lies within the coverage area of a server,and this location information is used in the authentication process.A thorough analytical analysis was carried out to check the susceptibility of the proposed and existing authentication approaches against well-known intruder attacks,i.e.,man-in-the-middle,masquerading,device,and server impersonations,etc.,especially in the IoT ***,proposed authentication and existing state-of-the-art approaches have been s

关键词： Internet of things authenticity security location communication

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Intelligent Solution System for Cloud Security Based on Equity Distribution:Model and algorithms

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Computers, Materials & Continua 2024年第1期78卷 1461-1479页

作者： sarah Mustafa Eljack Mahdi Jemmali Mohsen Denden Mutasim al Sadig Abdullah M.algashami Sadok Turki Department of Computer Science and Information College of Science at ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Computer Science College of Computing and InformaticsUniversity of SharjahSharjahUnited Arab Emirates Higher Institute of Computer Science and Mathematics University of MonastirMonastir5000Tunisia Mars Laboratory University of SousseSousseTunisia Department of Logistic and Maintenance UFR MIM at MetzUniversity of LorraineMetzFrance Department of Computer and Information Technologies College of Telecommunicationand Information Riyadh CTITechnical and Vocational Training Corporation TVTCRiyadh12464Saudi Arabia Department of Computer Science Higher Institute of Applied Sciences of SousseSousse UniversitySousse4000Tunisia

In the cloud environment,ensuring a high level of data security is in high *** planning storage optimization is part of the whole security process in the cloud *** enables data security by avoiding the risk of data loss and data *** development of data flow scheduling approaches in the cloud environment taking security parameters into account is *** our work,we propose a data scheduling model for the cloud *** is made up of three parts that together help dispatch user data flow to the appropriate *** first component is the Collector Agent whichmust periodically collect information on the state of the network *** second one is the monitoring agent which must then analyze,classify,and make a decision on the state of the link and finally transmit this information to the *** third one is the scheduler who must consider previous information to transfer user data,including fair distribution and reliable *** should be noted that each part of the proposedmodel requires the development of its *** this article,we are interested in the development of data transfer algorithms,including fairness distribution with the consideration of a stable link *** algorithms are based on the grouping of transmitted files and the iterative *** proposed algorithms showthe performances to obtain an approximate solution to the studied problem which is an NP-hard(Non-Polynomial solution)*** experimental results show that the best algorithm is the half-grouped minimum excluding(HME),with a percentage of 91.3%,an average deviation of 0.042,and an execution time of 0.001 s.

关键词： Cyber-security cloud computing cloud security algorithms heuristics

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Utilization of Logistical Regression to the Modified Sine-Gordon Model in the MST Experiment

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Open Journal of Modelling and Simulation 2024年第2期12卷 43-58页

作者： Nizar J. alkhateeb Hameed K. Ebraheem Eman M. al-otaibi Department of Electronic Engineering Technology College of Technological Studies (CTS) The Public Authority of Applied Education and Training (PAAET) Kuwait City Kuwait

In this paper, a logistical regression statistical analysis (LR) is presented for a set of variables used in experimental measurements in reversed field pinch (RFP) machines, commonly known as “slinky mode” (SM), observed to travel around the torus in Madison Symmetric Torus (MST). The LR analysis is used to utilize the modified Sine-Gordon dynamic equation model to predict with high confidence whether the slinky mode will lock or not lock when compared to the experimentally measured motion of the slinky mode. It is observed that under certain conditions, the slinky mode “locks” at or near the intersection of poloidal and/or toroidal gaps in MST. However, locked mode cease to travel around the torus;while unlocked mode keeps traveling without a change in the energy, making it hard to determine an exact set of conditions to predict locking/unlocking behaviour. The significant key model parameters determined by LR analysis are shown to improve the Sine-Gordon model’s ability to determine the locking/unlocking of magnetohydrodyamic (MHD) modes. The LR analysis of measured variables provides high confidence in anticipating locking versus unlocking of slinky mode proven by relational comparisons between simulations and the experimentally measured motion of the slinky mode in MST.

关键词： Madison Symmetric Torus (MST) Magnetohydrodyamic (MHD) Sine-Gordon Toroidal Dynamic Modelling Reversed Field Pinch (RFP) Logistical Regression

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Linear endoscopic ultrasound:Current uses and future perspectives in mediastinal examination

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World Journal of Gastroenterology 2024年第33期30卷 3803-3809页

作者： Eyad Gadour sarah al Ghamdi Bogdan Miutescu Hossam E Shaaban Zeinab Hassan Aymen almuhaidb Hussein H Okasha Department of Gastroenterology and Hepatology King Abdulaziz National Guard HospitalAhsa 36428Saudi Arabia Department of Internal Medicine Zamzam University CollegeSchool of MedicineKhartoum 11113Sudan Department of Medicine Division of GastroenterologyKing Abdulaziz UniversityJeddah 3646Saudi Arabia Department of Gastroenterology and Hepatology Victor Babes University of Medicine and PharmacyTimisoara 300041Romania Advanced Regional Research Center in Gastroenterology and Hepatology Victor Babes University of Medicine and PharmacyTimisoara 300041Romania Department of Internal Medicine and Gastroenterology NhtmriCairo 11796Egypt Department of Internal Medicine Stockport Hospitals NHS Foundation TrustManchester SK27JEUnited Kingdom Department of Gastroenterology King Faisal Specialist Hospital and Research CenterRiyadh 11211Saudi Arabia Department of Internal Medicine Division of Gastroenterology and HepatologyKasr Al-Aini School of MedicineCairo UniversityCairo 11562Egypt

This editorial elaborates on the current and future applications of linear endoscopic ultrasound(EUS),a substantial diagnostic and therapeutic modality for various anatomical *** scope of endosonographic assessment is broad and,among other factors,allows for the evaluation of the mediastinal anatomy and related pathologies,such as mediastinal lymphadenopathy and the staging of central malignant lung ***,EUS assessment has proven more accurate in detecting small lesions missed by standard imaging examinations,such as computed tomography or magnetic resonance *** focus on its current uses in the mediastinum,including lung and esophageal cancer staging,as well as evaluating mediastinal lymphadenopathy and submucosal *** editorial also explores future perspectives of EUS in mediastinal examination,including ultrasound-guided therapies,artificial intelligence integration,advancements in mediastinal modalities,and improved diagnostic approaches for various mediastinal lesions.

关键词： Linear endoscopic ultrasound Mediastinal examination Lung cancer Computed tomography Magnetic resonance imaging

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Nasal Dermoid Cyst with Sinus Tract Intranasal Bone: A Case Report

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International Journal of Otolaryngology and Head & Neck Surgery 2024年第2期13卷 149-156页

作者： Sultan Kadasah Abdullah alhelali Saud aldhabaan Abdulaziz al Qahtani Abdullah Musleh ali alshahrani Shahd Dlboh Sahar al-otaibi Department of Surgery College of Medicine University of Bisha Bisha Saudi Arabia Department of Otolaryngology Head and Neck Surgery Abha Children’s Hospital Abha Saudi Arabia Department of Otolaryngology Head and Neck Surgery Armed Forces Southern Region Hospital Khamis Mushait Saudi Arabia Department of Surgery College of Medicine King Khalid University Abha Saudi Arabia College of Medicine King Khalid University Abha Saudi Arabia

Dermoid cysts are benign tumors originating from germ cells, which can form in various locations, including the nasal area in rare cases. They are of unknown exact etiology, but it is suggested that it is due to abnormal tissue migration during early embryonic development. Nasal dermoid cysts albeit rare, can present in various forms such as sinuses, fistulas, or intracranially extending tracts. They can be asymptomatic and incidentally discovered or present with a visible external mass or sinus that is either painful, infected or cosmetically concerning. If nasal dermoid cysts with an intra-nasal bone sinus tract are left untreated, they can lead to life-threatening complications. This report describes the case of a 6-year-old girl with a nasal dermoid cyst connected to a superficial punctum by an intra-nasal tract. She had undergone surgical excision of a nasal swelling previously diagnosed as a dermoid cyst. One year later, she returned to our clinic with a recurrence of the nasal swelling. Imaging tests revealed a nasal dermoid cyst with a tract extending to the nasal tip, without intracranial expansion. The cyst, along with the entire tract, was successfully removed surgically, and the postoperative follow-up indicated no complications. Histopathology confirmed the diagnosis of a dermoid cyst. This case underscores the significance of considering the dermoid tract in nasal cyst cases and the necessity of its complete removal to prevent recurrence.

关键词： Dermoid Cyst Nasal Sinus Sinus Tract Intranasal Bone Benign Tumor Congenital Anomaly

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Suppression of mature TAU isoforms prevents alzheimer's disease-like amyloid-beta oligomer-induced spine loss in rodent neurons

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Neural Regeneration Research 2024年第8期19卷 1655-1657页

作者： sarah Buchholz Hans Zempel Institute of Human Genetics Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany Center for Molecular Medicine Cologne(CMMC) Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany

Introduction:TAU isoforms as disease mediators:The microtubule-associated protein TAU is predominantly present in the axons of neurons under physiological *** alzheimer’s disease(AD)and related tauopathies,TAU also mislocalizes("TAU missorting")to the soma and the dendrites,where it eventually forms aggregates,the so-called neurofibrillary tangles(for review see Zimmer-Bensch and Zempel,2021;Zempel,2023).

关键词： alzheimer Zimmer tau

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Unilateral Choanal Atresia in Adults: A Case Series

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International Journal of Otolaryngology and Head & Neck Surgery 2024年第3期13卷 187-193页

作者： Sultan Kadasah Abdulaziz al Qahtani Ghalib al-Sayed Abdullah al Helali Saud aldhabaan Abdullah Musleh ali Asiry Mohammed Asiri Shahd Dlboh Adnan al-Malki Abdulsalam alqhtani Mohammed al-khulban Sahar al-otaibi Department of Surgery College of Medicine University of Bisha Bisha Saudi Arabia Department of Otolaryngology Head and Neck Surgery Armed Forces Southern Region Hospital Khamis Mushait Saudi Arabia Department of Otolaryngology Head and Neck Surgery Abha Children&#8217s Hospital Abha Saudi Arabia Department of Surgery College of Medicine King Khalid University Abha Saudi Arabia Department of Otolaryngology Head and Neck Surgery Aseer Central Hospital Abha Saudi Arabia College of Medicine King Khalid University Abha Saudi Arabia

Choanal atresia (CA) is a rare occlusion of the posterior choanae. Unilateral cases have been reported more than bilaterally, and it’s more often right-sided in those patients. According to the literature, mixed bony-membranous atresia is the most common type. There is a high incidence of craniofacial and visceral anomalies associated with congenital choanal atresia. Therefore, investigation for associated congenital anomalies is an important step before the surgery. We report 2 cases of incidental finding of unilateral choanal atresia in a 21- and 17-year-old with nasal discharge being the only complaint in the former and nasal obstruction with headache in the latter. The patients were then scheduled for day-surgery as a case of choanal atresia for transnasal, endoscopic repair and posterior septectomy. The patients were discharged home on the same day with the absence of restenosis or other complications.

关键词： Choanal Atresia Nasal Obstruction Congenital Anomaly

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Single image super-resolution:a comprehensive review and recent insight

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Frontiers of Computer Science 2024年第1期18卷 139-156页

作者： Hanadi al-MEKHLAFI Shiguang LIU College of Intelligence and Computing Tianjin UniversityTianjin 300350China

Super-resolution(SR)is a long-standing problem in image processing and computer vision and has attracted great attention from researchers over the *** main concept of SR is to reconstruct images from low-resolution(LR)to high-resolution(HR).It is an ongoing process in image technology,through up-sampling,de-blurring,and *** neural network(CNN)has been widely used to enhance the resolution of images in recent *** alternative methods use deep learning to improve the progress of image super-resolution based on ***,we review the recent findings of single image super-resolution using deep learning with an emphasis on distillation knowledge used to enhance image super-resolution.,it is also to highlight the potential applications of image super-resolution in security monitoring,medical diagnosis,microscopy image processing,satellite remote sensing,communication transmission,the digital multimedia industry and video ***,we present the challenges and assess future trends in super-resolution based on deep learning.

关键词： super-resolution deep learning single-image interpolation-based learning-based reconstruction-based

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RoGRUT: A Hybrid Deep Learning Model for Detecting Power Trapping in Smart Grids

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Computers, Materials & Continua 2024年第5期79卷 3175-3192页

作者： Farah Mohammad Saad al-Ahmadi Jalal al-Muhtadi Center of Excellence in Information Assurance(CoEIA) King Saud UniversityRiyadh11543Saudi Arabia College of Computer&Information Sciences King Saud UniversityRiyadh11543Saudi Arabia

Electricity theft is a widespread non-technical issue that has a negative impact on both power grids and electricity *** hinders the economic growth of utility companies,poses electrical risks,and impacts the high energy costs borne by *** development of smart grids is crucial for the identification of power theft since these systems create enormous amounts of data,including information on client consumption,which may be used to identify electricity theft using machine learning and deep learning ***,there also exist different solutions such as hardware-based solutions to detect electricity theft that may require human resources and expensive ***-based solutions are presented in the literature to identify electricity theft but due to the dimensionality curse,class imbalance issue and improper hyper-parameter tuning of such models lead to poor *** this research,a hybrid deep learning model abbreviated as RoGRUT is proposed to detect electricity theft as amalicious and non-malicious *** key steps of the RoGRUT are data preprocessing that covers the problem of class imbalance,feature extraction and final theft *** advanced-level models like RoBERTa is used to address the curse of dimensionality issue,the near miss for class imbalance,and transfer learning for *** effectiveness of the RoGRUTis evaluated using the dataset fromactual smartmeters.A significant number of simulations demonstrate that,when compared to its competitors,the RoGRUT achieves the best classification *** performance evaluation of the proposed model revealed exemplary results across *** accuracy achieved was 88%,with precision at an impressive 86%and recall reaching 84%.The F1-Score,a measure of overall performance,stood at 85%.Furthermore,themodel exhibited a noteworthyMatthew correlation coefficient of 78%and excelled with an area under the curve of 91%.

关键词： Electricity theft smart grid RoBERTa GRU transfer learning

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