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AID4I:An Intrusion Detection Framework for Industrial Internet of Things Using Automated Machine Learning

Computers, Materials & Continua 2023年第8期76卷 2121-2143页

作者： Anil Sezgin aytug boyacı ATASAREN National Defence UniversityIstanbul34334Turkey Software in Motion Department Siemens AdvantaSiemens Corporate TechnologyIstanbul34870Turkey Department of Computer Engineering National Defence University Air Force AcademyIstanbul34149Turkey

By identifying and responding to any malicious behavior that could endanger the system,the Intrusion Detection System(IDS)is crucial for preserving the security of the Industrial Internet of Things(IIoT)*** benefit of anomaly-based IDS is that they are able to recognize zeroday attacks due to the fact that they do not rely on a signature database to identify abnormal *** order to improve control over datasets and the process,this study proposes using an automated machine learning(AutoML)technique to automate the machine learning processes for *** groundbreaking architecture,known as AID4I,makes use of automatic machine learning methods for intrusion *** automation of preprocessing,feature selection,model selection,and hyperparameter tuning,the objective is to identify an appropriate machine learning model for intrusion *** studies demonstrate that the AID4I framework successfully proposes a *** integrity,security,and confidentiality of data transmitted across the IIoT network can be ensured by automating machine learning processes in the IDS to enhance its capacity to identify and stop threatening *** a comprehensive solution that takes advantage of the latest advances in automated machine learning methods to improve network security,AID4I is a powerful and effective instrument for intrusion *** preprocessing module,three distinct imputation methods are utilized to handle missing data,ensuring the robustness of the intrusion detection system in the presence of incomplete *** selection module adopts a hybrid approach that combines Shapley values and genetic *** Parameter Optimization module encompasses a diverse set of 14 classification methods,allowing for thorough exploration and optimization of the parameters associated with each *** carefully tuning these parameters,the framework enhances its adaptability and accuracy in identifying potential

关键词： Automated machine learning intrusion detection system industrial internet of things parameter optimization

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HybridGAD: Identification of AI-Generated Radiology Abstracts Based on a Novel Hybrid Model with Attention Mechanism

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Computers, Materials & Continua 2024年第8期80卷 3351-3377页

作者： TugbaÇelikten aytug Onan Department of Software Engineering Faculty of TechnologyManisa Celal Bayar UniversityManisa45140Turkey Department of Computer Engineering Faculty of Engineering and ArchitectureIzmir KatipÇelebi UniversityIzmir35620Turkey

Class Title:Radiological imaging method a comprehensive overview *** GPT paper provides an overview of the different forms of radiological imaging and the potential diagnosis capabilities they offer as well as recent advances in the *** and Methods:This paper provides an overview of conventional radiography digital radiography panoramic radiography computed tomography and cone-beam computed *** recent advances in radiological imaging are discussed such as imaging diagnosis and modern computer-aided diagnosis ***:This paper details the differences between the imaging techniques the benefits of each and the current advances in the field to aid in the diagnosis of medical ***:Radiological imaging is an extremely important tool in modern medicine to assist in medical *** work provides an overview of the types of imaging techniques used the recent advances made and their potential applications.

关键词： Generative artificial intelligence AI-generated text detection attention mechanism hybrid model for text classification

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A practical approach to imaging characteristics and standardized reporting of COVID-19:A radiologic review

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Military Medical Research 2021年第3期8卷 424-432页

作者： Deniz Esin Tekcan Sanli Duzgun Yildirim Ahmet Necati Sanli Suha Turkmen Neval Erozan Guray Husmen aytug Altundag FilizTuzuner Department of Radiology Acibadem Kozyatagi Hospital19 Mayis Mahinonu CadOkur SokNo.24/Af Kozyatagi34734 IstanbulTurkey Department of Radiology Acibadem Taksim Hospital34373 IstanbulTurkey Cerrahpasa Medical Faculty Department of General SurgeryIstanbul University-Cerrahpasa34098 IstanbulTurkey Department of Emergency Acibadem Taksim Hospital34373 IstanbulTurkey Department of Otolaryngology Acibadem Taksim Hospital34373 IstanbulTurkey Department of Anesthesiology Acibadem Taksim Hospital34373 IstanbulTurkey

Novel coronavirus(2019-nCoV),also known as severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),is a pathogen that has caused a rapidly spreading pandemic all over the *** primary mean of transmission is inhalation with a predilection for respiratory system involvement,especially in the distal *** disease that arises from this novel coronavirus is named coronavirus disease 2019(COVID-19).COVID-19 may have a rapid and devastating course in some cases leading to severe complications and *** imaging methods have an invaluable role in diagnosis,follow-up,and *** this review,radiological imaging findings of COVID-19 have been systematically reviewed based on the published literature so *** reporting templates are also emphasized from a different point of view,considering specific distinctive patterns of involvement.

关键词： Coronavirus disease 2019 Severe acute respiratory syndrome coronavirus 2 Computed tomography Pneumonia Acute respiratory distress syndrome Ground-glass opacities Crazy-paving pattern

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Evaluation （POE） of Yildiz Technical University （YTU） School of Foreign Languages （SFL）

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Journal of Civil Engineering and Architecture 2012年第9期6卷 1128-1137页

作者： Muzaffer Tolga Akbulut Cigdem Polatoglu Ayfer aytug Faculty of Architecture Yildiz Technical University Besiktas 34 349 Istanbul Turkey

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Impact of adjuvant treatment modalities on survival outcomes in curatively resected pancreatic and periampullary adenocarcinoma

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Chinese Journal of Cancer Research 2015年第4期27卷 408-416页

作者： Nedim Turan Mustafa Benekli Olcun Umit Unal ?lkay Tugba Unek Didem Tastekin Faysal Dane Efnan Alg?n Sukran Ulger Tulay Eren Turkan Ozturk Topcu Esma Turkmen Nalan Akgül Babacan Gulnihal Tufan Zuhat Urakci Basak Oven Ustaalioglu Ozlem Sonmez Uysal Ozlem Balvan Ercelep Burcu Yapar Taskoylu Asude Aksoy Mustafa Canhoroz Umut Demirci Erkan Dogan Veli Berk Ozan Balakan Ahmet ?iyar Ekinci Mukremin Uysal ?brahim Petekkaya Sel?uk Cemil Ozturk ?nder Tonyal? Bülent ?etin Mehmet Naci Aldemir Kaan Helvac? Nuriye Ozdemir ?lhan Oztop Ugur Coskun aytug Uner Ahmet Ozet Suleyman Buyukberber Department of Medical Oncology Faculty of Medicine Cumhuriyet University Department of Medical Oncology Faculty of Medicine Gazi University Department of Medical Oncology Faculty of Medicine Dokuz Eylul University Department of Medical Oncology Faculty of Medicine Necmettin Erbakan University Department of Medical Oncology Faculty of Medicine Marmara University Department of Radiation Oncology Faculty of Medicine Gazi University Department of Medical Oncology Numune Education and Research Hospital Department of Medical Oncology Faculty of Medicine Karadeniz Technical University Department of Medical Oncology Faculty of Medicine Trakya University Department of Medical Oncology Rize Education and Research Hospital Department of Medical Oncology Faculty of Medicine Dicle University Department of Medical Oncology Dr.Lutfi Kirdar Kartal Education and Research Hospital Department of Medical Oncology Sakarya Education and Research Hospital Department of Medical Oncology Faculty of Medicine Pamukkale University Department of Medical Oncology Faculty of Medicine Inonu University Department of Medical Oncology Faculty of Medicine Firat University Department of Medical Oncology Dr.Abdurrahman Yurtaslan Education and Research Hospital Department of Medical Oncology Faculty of Medicine Yuzuncu Yil University Department of Medical Oncology Faculty of Medicine Erciyes University Department of Medical Oncology Faculty of Medicine Sutcu Imam University Department of Medical Oncology Diyarbakir Education and Research Hospital Department of Medical Oncology Faculty of Medicine Kocatepe University Department of Medical Oncology Dr.Ersin Arslan State Hospital Department of Medical Oncology Education and Research Hospital Ad?yaman University Department of Medical Oncology Faculty of Medicine Mustafa Kemal University Department of Medical Oncology Faculty of Medicine Ataturk University

Background： We examined the impact of adjuvant modalities on resected pancreatic and periampullary adenocarcinoma（PAC）.Methods： A total of 563 patients who were curatively resected for PAC were retrospectively analyzed between 2003 and ***： Of 563 patients, 472 received adjuvant chemotherapy（CT） alone, chemoradiotherapy（CRT） alone, and chemoradiotherapy plus chemotherapy（CRT-CT） were analyzed. Of the 472 patients, 231 were given CRT-CT, 26 were given CRT, and 215 were given CT. The median recurrence-free survival（RFS） and overall survival（OS） were 12 and 19 months, respectively. When CT and CRT-CT groups were compared, there was no significant difference with respect to both RFS and OS, and also there was no difference in RFS and OS among CRT-CT, CT and CRT groups. To further investigate the impact of radiation on subgroups, patients were stratified according to lymph node status and resection margins. In node-positive patients, both RFS and OS were significantly longer in CRT-CT than CT. In contrast, there was no significant differencebetween groups when patients with node-negative disease or patients with or without positive surgical margins were ***： Addition of radiation to CT has a survival benefit in patients with node-positive disease following pancreatic resection.

关键词： Pancreatic adenocarcinoma adjuvant chemotherapy(adjuvant CT) adjuvant radiotherapy

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