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Incorporating Artificial Intelligence Powered Immersive Realities to Improve Learning using Virtual Reality (VR) and Augmented Reality (AR) technology 3

Incorporating Artificial Intelligence Powered Immersive Real...

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3rd International Conference on applied Artificial Intelligence and computing, ICAAIC 2024

作者： Balushi, Jasim Sharki Ghulam Al Jabri, Malak Ibrahim Ahmed Al Palarimath, Suresh Maran, Pyingkodi Thenmozhi, K. Balakumar, C. Univesity of Technology and Applied Sciences College of Computing and Information Sciences Information Technology Department Salalah Oman Kongu Engineering College Department of Computer Applications Erode India Department of Computer Science Bengaluru India Karpagam Academy of Higher Education Department of Computer Science Coimbatore India

ISBN: (纸本)9798350375190

This study analyzes the transformative potential of combining artificial intelligence (AI) with immersive technologies, specifically virtual reality (VR) and augmented reality (AR), to elevate educational outcomes significantly. The synergy of AI and immersive technologies presents a unique opportunity to enhance students' motivation, memory retention, and comprehension of complex subjects, creating a distinct and impactful learning experience. The research comprehensively explores the current understanding of the effectiveness of VR and AR in educational settings, placing special emphasis on their applications in diverse fields such as Science, technology, Engineering, And Mathematics (STEM), medicine, language acquisition, and the development of interpersonal skills. Beyond highlighting the immense potential, the study acknowledges and addresses the obstacles that include the costs associated with equipment, training, and content creation. It underscores the importance of collaborative efforts among technology suppliers, educators, and content producers to overcome these challenges effectively. By recognizing and navigating these hurdles, the study aims to provide practical insights for educational institutions and policymakers, advocating for the integration of AI-powered immersive technology to enhance the overall learning experience for students. The findings underscore the transformative impact of such technologies, emphasizing their role in shaping the future of education and preparing students for the dynamic challenges of the modern world. © 2024 IEEE.

关键词： Augmented reality

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Chaotic Flower Pollination with Deep Learning Based COVID-19 Classification Model

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Computers, Materials & Continua 2023年第3期74卷 6195-6212页

作者： T.Gopalakrishnan Mohamed Yacin Sikkandar Raed Abdullah Alharbi P.Selvaraj Zahraa H.Kareem Ahmed Alkhayyat Ali Hashim Abbas Department of Information Technology Manipal Institute of Technology BengaluruManipal Academy of Higher EducationManipalIndia Department of Medical Equipment Technology College of Applied Medical SciencesMajmaah UniversityAl Majmaah11952Saudi Arabia Public Health Department College of Applied Medical SciencesMajmaah UniversityAl Majmaah11952Saudi Arabia Department of Computing Technologies College of Engineering and TechnologyFaculty of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203TamilnaduIndia Medical Instrumentation Techniques Engineering Department Al-Mustaqbal University CollegeBabylonIraq College of Technical Engineering The Islamic UniversityNajafIraq College of Information Technology Imam Ja’afar Al-Sadiq UniversityAl-Muthanna66002Iraq

The Coronavirus Disease(COVID-19)pandemic has exposed the vulnerabilities of medical services across the globe,especially in underdeveloped *** the aftermath of the COVID-19 outbreak,a strong demand exists for developing novel computer-assisted diagnostic tools to execute rapid and cost-effective screenings in locations where many screenings cannot be executed using conventional *** imaging has become a crucial component in the disease diagnosis process,whereas X-rays and Computed Tomography(CT)scan imaging are employed in a deep network to diagnose the *** general,four steps are followed in image-based diagnostics and disease classification processes by making use of the neural networks,such as network training,feature extraction,model performance testing and optimal feature *** current research article devises a Chaotic Flower Pollination Algorithm with a Deep Learning-Driven Fusion(CFPADLDF)approach for detecting and classifying *** presented CFPA-DLDF model is developed by integrating two DL models to recognize COVID-19 in medical ***,the proposed CFPA-DLDF technique employs the Gabor Filtering(GF)approach to pre-process the input *** addition,a weighted voting-based ensemble model is employed for feature extraction,in which both VGG-19 and the MixNet models are ***,the CFPA with Recurrent Neural Network(RNN)model is utilized for classification,showing the work’s novelty.A comparative analysis was conducted to demonstrate the enhanced performance of the proposed CFPADLDF model,and the results established the supremacy of the proposed CFPA-DLDF model over recent approaches.

关键词： Deep learning medical imaging fusion model chaotic models ensemble model COVID-19 detection

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Nutritional Values and Effects of Selected Solvents on the Phytochemical Properties of Moringa Oleifera Leaves Obtained from Sokoto, Nigeria

Nutritional Values and Effects of Selected Solvents on the P...

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2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024

作者： Jamiu, Aasia Muhammed Gumi, Ahmad Salma Alabi, Dorcas Toyin Ahmed-Umar, Fatimah Habib, Nabila Muhammed Adebayo-Gege, Grace I Victoria, Adegunloye Deke Obianuju, Ojikah Kolawole, Muftaudeen Taoheed Abimbola, Ogundolie Frank Baze University Faculty of Computing and Applied Sciences Abuja Nigeria Baze University College of Medicine and Health Sciences Abuja Nigeria Federal University of Technology Department of Microbiology Akure Nigeria

ISBN: (纸本)9798350358155

Moringa Oliefera (M. oleifera) contains high amounts of antioxidants and phytochemicals which have been explored for their therapeutic effects. Solvents used in extraction have been noted to influence the availability of specific phytochemicals. In this study, the nutritional values of M. oleifera and effects of extracting solvents namely;ethanol, n-hexane, ethyl-acetate, and aqueous solution on the phytochemical constituents of *** leaves from Sokoto were investigated. M. oleifera leaves were obtained from Sokoto, Nigeria and dried. The Proximate and trace metal analysis were carried out by use of Atomic absorption spectrophotometer (AAS). *** sample was extracted by soxhlet extractor using the different solvents, and then concentrated. Concentrated compounds were further analyzed by GC-MS. Proximate analysis of the leaves yielded crucial nutritional values which includes, crude protein (13.31%),crude lipid (14.01%), and dietary fibre (6.37%). Furthermore, sodium and magnesium concentrations were notably elevated, with magnesium reaching 15.1 mg/l. Ethanol and aqueous extracts yielded positive results for flavonoids, carbohydrates, phenols, tannins, cardiac glucosides, and alkaloids. Conversely, n-hexane exhibited negative effects on these compounds, while ethyl-acetate demonstrated mixed outcomes.. The GC-MS analysis of the extracts showed the presence of 2-Heptanol, 6-meth 1,2-Benzenedicarboxylic acid, Phthalic acid, cyclobutyl-heptyl ester, Diethyl-Phthalate, ethylisopropyl ester, Trimethyl(4-tert.-butyl-phenoxy)silane, and 2,4,6-Cycloheptatrien-1-one. The findings from this work suggested that *** leaves possess important nutritional values ,and using solvents such as ethanol and aqueous solution to extract the bioactive compounds presents a rich reservoir of such compounds (especially cardiac glycosides) which could be used as therapeutics in management of cardiovascular disorders. © 2024 IEEE.

关键词： Ethanol

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The Impact of Control Plane Attacks in Software Defined Networks Environments 1

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International Conference on Advances in Communication technology and Computer Engineering, ICACTCE 2023

作者： Kumar, M. Anand Muthusamy, Senthilkumar Ashik, Mohamed Karthikeyan, R. Sundaravadivazhagan, B. School of Information Science Presidency University Bangalore India Department of Engineering University of Technology and Applied Sciences-Al Mussanah Muladdah Oman College of Computing and Information Sciences University of Technology and Applied Sciences - Salalah Salalah Oman Vardhaman College of Engineering Telangana Hyderabad India Department of Information Technology University of Technology and Applied Sciences-Al Mussanah Muladdah Oman

ISBN: (数字)9783031371646

ISBN: (纸本)9783031371639

The Internet of Everything (IoE) and 5G are two initiatives that have embraced Software-Defined Networking (SDN), a model that is intensely changing communications systems. Even though SDN has been around for more than 20 years, it is still improving, and the technology industry is placing more and more demands on SDN networks to make them more creative, adaptable, and reliable. Unfortunately, there is an enormous security flaw in the SDN architecture’s components that might be used by intruders to execute critical attacks which disrupt the components and their operations. SDN networks have several benefits for managing infrastructure and predicting development. The supply of services was made easier with centralized control, which offers a comprehensive and in-depth perspective of the network. Due to the enormous advantages, SDN is deployed in several applications instead of traditional network architecture. As far as large-scale applications are concerned, there is a huge demand to implement strong security strategies in information allotment and resources across different platforms. Even though several recent research works are recently concentrated on finding the limitations of SDN architecture components, types of security attacks, and possible solutions to overcome the limitations. SDN has encountered several security issues like man-in-the-middle attacks, host hijacking ARP poisoning, and saturation attacks. This research work mainly focuses on control plane attacks that affect the total operations of network devices, including switches and the SDN controller. It was also identified that these attacks have a huge impact on the network components of SDN environments. Experimental results provide a detailed analysis of control plane attacks and their impact on the SDN networks. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Controllers

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Design of Die-Casting Die for Engine Cylinder Head Based on 3D Printing and Genetic Algorithm

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Computer-Aided Design and Applications 2023年第S3期20卷 190-199页

作者： Zhao, Wei He, Chao Gill, Rana Jawarneh, Malik Shabaz, Mohammad Faculty of Mechanical and Electrical Engineering Jiangxi College of Applied Technology Jiangxi Ganzhou341000 China Faculty of Social Management Jiangxi College of Applied Technology Jiangxi Ganzhou341000 China Department of AIT-CSE Chandigarh University Punjab Mohali140413 India Faculty of Computing Sciences Gulf College Seeb Oman Model Institute of Engineering and Technology J&K Jammu India

In view of the structural characteristics and process requirements of the aluminum alloy die casting of the engine cylinder head cover, proposed the design of die-casting die for engine cylinder head based on 3D printing and genetic algorithm, the structural characteristics of the engine cylinder head are introduced and the process analysis is carried out, choose the bottom large plane for assembly datum as the parting surface, the whole set of mold adopts inlay structure in structure, and adopt the oblique stop positioning method. An efficient engine cylinder head design is described for better functioning and long-lasting performance. The operation is easy and safe, the product deforms smoothly, and the mould work is consistent and dependable;it can fulfill continuous production needs, and the product's appearance and interior quality meet design criteria. By installing a stepped crescent-shaped splash block, it can effectively prevent molten metal from splashing and hurting people along the exhaust groove. Realize analog evolution calculations such as binary coding and real-value coding. The encoding method is binary encoding, the population size is 20, the crossover probability is 0.9, and the mutation probability is 0.1, the ending algebra is 300. In the random plan, the connection between parts is 3000, after using genetic algorithm for optimization, the connection of parts is minimized, is 387, the corresponding division scheme is optimal. In use, the operation is convenient and safe, the product is remolded smoothly, and the mold work is stable and reliable, it can meet the requirements of continuous production, and the appearance and internal quality of the product meet the design requirements. © 2023 CAD Solutions, LLC,.

关键词： Genetic algorithms

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Toward Anomaly Detection in the Blockchain Using Numerical Association Rule Mining 21

Toward Anomaly Detection in the Blockchain Using Numerical A...

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21st IEEE International Symposium on Intelligent Systems and Informatics, SISY 2023

作者： Kramberger, Renata Fister, Iztok Kamisalic, Aida Zagreb University of Applied Sciences Department of Information Technology and Computing Zagreb Croatia University of Maribor Faculty of Electrical Engineering and Computer Science Maribor Slovenia

ISBN: (纸本)9798350343366

With the global increase in the popularity of cryptocurrencies, the need for anomaly detection and fraudulent behavior is reaching an all-Time high. In our paper, we propose a novel method of anomaly detection with the use of Numerical Association Rule Mining with Differential Evolution. The experiment was conducted by using the Dogecoin blockhain, and the dataset contained all of the transactions from one month. Our results contained 303 rules, with the best fitness function value of 0.8. © 2023 IEEE.

关键词： Association rules

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Tube-based Model Reference Adaptive Control for Vibration Suppression of Active Suspension Systems

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IEEE/CAA Journal of Automatica Sinica 2022年第4期9卷 728-731页

作者： Yashar Mousavi Alireza Alfi Ibrahim Beklan Kucukdemiral Afef Fekih IEEE the Department of Applied Science School of ComputingEngineering and Built EnvironmentGlasgow Caledonian University the Faculty of Electrical Engineering Shahrood University of Technology the Electrical and Computer Engineering Department University of Louisiana at Lafayette

Dear editor,With the developments of industrial automation in recent years,vehicle suspension systems have received a great deal of attention in industry and academia due to their critical role in the chassis performance of vehicles[1].The suspension system is expected to guarantee the vehicle’s maneuverability and provide satisfactory ride comfort by absorbing the vibrations arising from the road surface excitations and ensuring road-holding capability and suspension *** by the desirable performance of the model reference adaptive control(MRAC)approach,various literature studies have investigated its performance in diverse linear and nonlinear practical systems[2].

关键词： editor Active guarantee

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Security Analysis of DNP3 Protocol in SCADA System 13

Security Analysis of DNP3 Protocol in SCADA System

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13th IEEE International Conference on Control System, computing and Engineering, ICCSCE 2023

作者： Qassim, Qais Saif Ali, Musab A. M. Tahir, Nooritawati Md University of Technology and Applied Sciences-Ibri College of Computing and Information Sciences Department of It Ibri Oman College of Engineering Malaysia Universiti Teknologi Mara Malaysia

ISBN: (纸本)9798350323184

The safeguarding of Supervisory Control and Data Acquisition (SCADA) systems and their cyber-security have been the subject of extensive research for many years, owing to the severe ramifications that can result from their breach or compromise. SCADA is a system that facilitates the monitoring and control of physical infrastructures in industrial processes from a centralized control station. The utilization of this technology is prevalent in crucial infrastructure domains, such as the electricity, oil, and gas industries, encompassing production and distribution. The compromise of data integrity in SCADA systems through cyber-attacks, specifically the unauthorized manipulation of sensors or control signals, has the potential to disrupt the operation of critical national infrastructure significantly. Therefore, this research is intended to investigate the limitations and drawbacks of one of the commonly used communication protocols in SCADA, namely;DNP3, investigate the cyber-attacks exploiting the weaknesses of this protocol, and put forward a recommendation to protect the SCADA networks and prevent devastating consequences. © 2023 IEEE.

关键词： SCADA systems

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An Efficient Technique to Prevent Data Misuse with Matrix Cipher Encryption Algorithms

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Computers, Materials & Continua 2023年第2期74卷 4059-4079页

作者： Muhammad Nadeem Ali Arshad Saman Riaz Syeda Wajiha Zahra Ashit Kumar Dutta Moteeb Al Moteri Sultan Almotairi Department of Computing Abasyn UniversityIslamabadPakistan Department of Computer Science National University of TechnologyIslamabadPakistan Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityRiyadh13713Kingdom of Saudi Arabia Department of Management Information Systems Business Administration CollegeKing Saud UniversityRiyadh11451Saudi Arabia Department of Natural and Applied Sciences Faculty of Community CollegeMajmaah UniversityMajmaah11952Saudi Arabia

Many symmetric and asymmetric encryption algorithms have been developed in cloud computing to transmit data in a secure *** cryptography is a data encryption mechanism that consists of different steps and prevents the attacker from misusing the *** paper has developed an efficient algorithm to protect the data from invaders and secure the data from *** this algorithm is applied to the cloud network,the attacker will not be able to access the *** encrypt the data,the values of the bytes have been obtained by converting the plain text to ASCII.A key has been generated using the Non-Deterministic Bit Generator(NRBG)mechanism,and the key is XNORed with plain text bits,and then Bit toggling has been *** that,an efficient matrix cipher encryption algorithm has been developed,and this algorithm has been applied to this *** capability of this algorithm is that with its help,a key has been obtained from the plain text,and only by using this key can the data be decrypted in the first steps.A plain text key will never be used for another plain *** data has been secured by implementing different mechanisms in both stages,and after that,a ciphertext has been *** the end of the article,the latest technique will be compared with different *** will be a discussion on how the present technique is better than all the other techniques;then,the conclusion will be drawn based on comparative analysis.

关键词： Symmetric cryptography ciphertext encryption decryption cloud security matrix cipher

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Performance Analysis of Indian States and Union Territories for Covid-19 Management Through DEA and Machine Learning 12th

Performance Analysis of Indian States and Union Territories ...

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12th International Conference on Soft computing for Problem Solving, SocProS 2023

作者： Joshi, Shubham Panwar, Ankita Pant, Millie Deep, Kusum Department of Applied Mathematics and Scientific Computing Indian Institute of Technology Uttarakhand Roorkee247667 India Department of Mathematics Indian Institute of Technology Uttarakhand Roorkee247667 India Mehta Family School for Data Science and Artificial Intelligence Indian Institute of Technology Uttarakhand Roorkee247667 India

ISBN: (纸本)9789819731794

In this study, an analysis has been performed to assess the performance of 28 states and 8 union territories (UTs) of India against COVID-19 during the years 2020 and 2021. The study is done in three phases;first of all, the analysis has been done through Exploratory Data Analysis (EDA), to get general information about the data;in the second phase, the super-efficiency-data envelopment analysis (SE-DEA) model has been applied to evaluate the performance of states and UTs, and to segregate them into two classes: efficient and inefficient. Finally, in the third phase, an attempt is made to establish a link between the DEA and 5 supervised machine learning techniques viz. Logistic regression (LR), K-nearest neighbours (KNN), Support vector machine (SVM), Naïve Bayes (NB) classifier, and Decision tree (DT) for analysis of the results. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： COVID-19

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