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Cauchy Grasshopper Optimization Algorithm with Deep Learning Model for Cloud Enabled Cyber Threat Detection System 7

Cauchy Grasshopper Optimization Algorithm with Deep Learning...

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7th International Conference on Intelligent Computing and Control Systems, ICICCS 2023

作者： Ravi, C.N. Karthik, T.S. Manikandan, K. Kalaivaani, P.C.D. Chopkar, Priyanka Nandkishor Srivastava, Aviral CMR Engineering College Computer Science & Engineering Department Telangana Hyderabad India Aditya College of Engineering & Technology Surampalem E.G.Dist. Andhra Pradesh 533437 India Government College of Engineering Thanjavur India Kongu Engineering College Computer Science and Engineering Perundurai India G H Raisoni Institute of Engineering & Technology Electronics & Telecommunication Engineering Nagpur India Amity University Rajasthan Amity University Rajasthan NH 11 C kant kalwar Jaipur300202 India

ISBN: (纸本)9798350397253

The tremendous growth of internet technology has drastically improved the large amount of connected devices. To secure network infrastructure from the damage that cyberattacks might cause, this has made an enormous attack surface that needs the deployment of practical and effective counter measures. In the contemporary era of active network transmission and throughput, Intrusion Detection System (IDS) plays a vital role in ensuring secure network resource and data from outside invasion. In recent times, IDS becomes an essential tool to enhance the efficiency and flexibility for unpredictable and unexpected invasions of the network. Deep learning (DL) is a well-known and essential method to resolve challenges and could learn rich features of massive information. Therefore, the study focuses on the design and development of the Cauchy Grasshopper Optimization Algorithm with Deep Learning for Cloud Enabled IDS (CGOA-DLCIDS) technique. The presented CGOA-DLCIDS method aims to recognize the presence of intrusions in the cloud platform. To achieve this, the CGOA-DLCIDS technique performs feature subset election by CGOA which reduces the feature subset and enhances the intrusion detection rate. Next, the CGOA-DLCIDS technique employs attention based long short-term memory (ALSTM) module for automated and accurate intrusion detection and classification. The simulations analysis of the CGOA-DLCIDS method on benchmark dataset highlighted the increasing results compared to recent IDS approaches. © 2023 IEEE.

关键词： Intrusion detection

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Identifying Appropriate Probability Density Function for Wind Speed Profiles of Two Coastal Cities in Pakistan for Better Wind Power Assessment 3

Identifying Appropriate Probability Density Function for Win...

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3rd International Conference on Emerging Trends in Electrical, Control, and Telecommunication engineering, ETECTE 2024

作者： Abbas, Ghulam Ali, Arshad Zubair, Muhammad Mushtaq, Zohaib Farooq, Umar Khan, Irfan A. Department of Electrical Engineering The University of Lahore Lahore Pakistan Faculty of Computer and Information Systems Islamic University of Madinah Madinah Saudi Arabia College of Engineering and Technology University of Doha for Science and Technology Doha Qatar Department of Electrical Electronics and Computer Systems University of Sargodha Sargodha Pakistan IEECE University of the Punjab Lahore Pakistan Lab Texas A&M University GalvestonTX77553-1675 United States

ISBN: (纸本)9798331504861

To assess the wind power potential of a specific wind site, a suitable distribution function that best suits the wind data needs to be known. In this study, we employ four probability density functions (PDFs), namely Weibull, Rayleigh, Log-Normal, and Gamma, on wind speed data obtained from two coastal cities in Pakistan, Gwadar and Karachi, to check which one is the best suited. Cities along the coastline of Pakistan offer greater wind speeds and, thus, greater wind power potential. The maximum likelihood technique is used to estimate the parameters of the density distributions. Three statistical measures—Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and Coefficient of Determination (R2)—are used to assess the goodness of fit for every distribution. These measures give a complete picture of every distribution's correctness in terms of reflecting the recorded wind speed patterns. Numerical results reveal that the Weibull distribution fits well with the wind speeds of the two coastal cities compared to the other three probability distributions, providing insightful analysis for the evaluation of wind resources and possible local energy generation. The MATLAB environment is used to compare the distributions and validate the effectiveness of the proposed methodology. ©2024 IEEE.

关键词： Windmill

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Hardware Acceleration Using SIMD Based Vector Processor Array to Enhance Performance of Deblurring Methods for CT and MRI Images Having Motion Blur Artifacts

Hardware Acceleration Using SIMD Based Vector Processor Arra...

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2023 International Conference on Smart Systems for Applications in Electrical Sciences, ICSSES 2023

作者： Sharma, Poonam Dubey, Ashwani Kumar Goyal, Ayush Amity School of Engineering and Technology Amity University Uttar Pradesh Dept. of Electronics and Communication Engineering U.P. Noida India Texas A&m University Dept. of Electrical Engineering and Computer Science Kingsville United States

ISBN: (纸本)9798350347296

A typical medical imaging that gives deep cross-sectional details of human body like MRI and CT, usually scans the subject area in form of many scans called slices. These slices are generally in the order of 100s or 1000s per unit of time. However, these slices have many artifacts including blurring of fine details due to motion between the scan device and the subject that may happen because of several reasons like nonstationary subject or jerk in the motion of capturing device or inappropriate aperture control. There is never-ending demand to always accelerate the medical image processing for faster and real time diagnosis especially for critical life saving situations. The core processor architecture to exploit such accelerations are the core to meet these requirements. © 2023 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Concrete Structure Defect Detection using You Only Look Once Version 5 with AlexNet 2

Concrete Structure Defect Detection using You Only Look Once...

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2nd IEEE International Conference on Integrated Intelligence and Communication Systems, ICIICS 2024

作者： Devi, T. Ali, Hassan Mohamed Alsalami, Zaid Kumar, S. Senthil Sangeetha, K. Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India Department of Computers Techniques Engineering College of Technical Engineering The Islamic University Najaf Iraq Department of Computers Techniques Engineering College of Technical Engineering The Islamic University of Al Diwaniyah Al Diwaniyah Iraq Department of Electrical and Electronics Engineering New Prince Shri Bhavani College of Engineering and Technology Chennai India Department of Mathematics Bannari Amman Institute of Technology Sathyamangalam India

ISBN: (纸本)9798331504960

Concrete structures are made from cement, water, and admixtures, which are used in buildings, water management systems, and foundations. There are many face pressing issues such as corrosion, cracking, and chemical attacks, requiring innovative solutions for sustainable infrastructure. Various methods have been proposed previously to recognize the defects of concrete structures. To overcome these problems, a Deep Learning (DL) model of You Only Look Once version 5 with Alex-Krizhevsky Network (YOLOv5-AlexNet) is proposed for detecting the defects of concrete structures. Primarily, a Surface Crack Detection (SCD) dataset is considered as an input for recognizing the defects of concrete structures. For preprocessing, image resizing and normalization, data augmentation, contrast enhancement, image filtering, and image binarization are considered for efficient processing, enhancing robustness, improving crack visibility, edge detection, and to simplify crack detection. Then for feature extraction, U-shaped Network (U-Net) is employed to reduce noise sensitivity, and to fine-tune the model. A YOLOv5-AlexNet is considered for classification to improve performance and generalizability, and random search for hyperparameter tuning. The proposed YOLOv5-AlexNet model attained higher performance metrics such as accuracy, precision, recall, and f1 score of 99.57%, 98.23%, 98.65%, and 99.86%, when compared to other existing methods like Convolutional Neural Network (CNN). © 2024 IEEE.

关键词： Concrete buildings

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Cervical Cancer Classification Using Transfer Learning with Hybrid SVM Kernels and ResNet-50

Cervical Cancer Classification Using Transfer Learning with ...

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International Symposium on Advanced Computing and Communication (ISACC)

作者： Anauksa Das Basab Nath Joshika Choudhury Neelvie Chhteri Hilal Ahmad Shah Niyaz Ahmad Wani Computer Science and Engineering Sikkim Manipal Institute of Technology SMU Gangtok India Computer Science and Engineering IILM University Greater Noida India Electronics and Communications Engineering Sikkim Manipal Institute of Technology SMU Gangtok India

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

Cervical cancer is a serious health issue and a leading reason of cancer-related deaths among women, particularly in less economically developed countries (LEDCs) where there is limited availability of screening. Early detection is crucial to improving survival rates and quality of life. In this study, we propose an enhanced Support Vector Machine (SVM) model for automated cervical cancer detection, utilizing a novel hybrid kernel that combines the radial basis function (RBF) kernel with a secondary kernel (polynomial). The hybrid kernel approach enables the model to capture both local and global patterns in cell morphology, improving its sensitivity to subtle cell abnormalities and improving diagnostic accuracy. Additionally, we incorporate a pre-trained transfer learning model, Resnet-50 for feature extraction reducing dependency on large labeled datasets while improving robustness. Experimental results demonstrate that the hybrid kernel SVM with Resnet-50 achieves an accuracy of 92%, outperforming traditional SVMs (67%)and hybrid kernel SVMs without Resnet-50 models (69%).

关键词： Support vector machines Accuracy Sensitivity Computational modeling Transfer learning Morphology Feature extraction Polynomials Kernel Cervical cancer

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Model-Based Analysis of Factors Influencing Solar Energy Efficiency: Dust Accumulation and Shading Effects

Model-Based Analysis of Factors Influencing Solar Energy Eff...

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2024 IEEE Global Energy Conference, GEC 2024

作者： Tur, Mehmet Rida Padmanaban, Sanjeevikumar Hossain, Eklas Al-Hajj, Rami Wadi, Mohammed Shobole, Abdulfetah Department of Electrical and Electronic Engineering Batman University Batman Turkey Department of Electrical Engineering IT and Cybernetic University of SouthEastern Norway Porsgrunn Norway Department of Electrical and Computer Engineering Boise State University BoiseID United States College of Engineering and Technology American University of the Middle East Kuwait Department of Electrical and Electronics Engineering Istanbul Sabahattin Zaim University Turkey

ISBN: (纸本)9798331532611

Solar energy is widely regarded as the most significant renewable energy source, with photovoltaic (PV) cells serving as the primary component for electricity generation from solar radiation. Several factors influence the energy production efficiency of PV cells, including but not limited to, radiation levels, temperature, cable losses, dust accumulation, and shading. These factors are often interrelated, where one factor can exacerbate the impact of another. In this study, various parameters affecting solar efficiency were examined by integrating them into a model, with each factor analyzed individually. Real system data was collected, and the impact of dust accumulation on the panels was assessed by measuring its contribution to shading, which in turn reduces the amount of radiation absorbed by the photovoltaic cells. The study anticipates that similar outcomes will be observed in large-scale applications, which could play a crucial role in shaping future investment decisions. It is suggested that optimizing the tilt angle of the panels and ensuring regular rainfall can effectively reduce dust accumulation, thereby enhancing the overall system efficiency. ©2024 IEEE.

关键词： Radiation efficiency

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Optimal allocation algorithm of marketing resources based on improved random forest 2

Optimal allocation algorithm of marketing resources based on...

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2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023

作者： Winster Praveenraj, D. David Hussein, Laith Tomar, Raghvendra Singh Margarat, G. Simi Vimala, M. Krishnaraj, V. Bangalore India College of Technical Engineering The Islamic University Najaf Iraq Department of Computer Science & Engineering IES College Of Technology MP Bhopal462044 India New Prince Shri Bhavani College Of Engineering And Technology India Department of Electronics and Communication Engineering P.S.R Engineering College Tamilnadu India Department of Mathematics Sona College of Technology Tamilnadu Salem India

ISBN: (纸本)9798350305418

Random Forest algorithm is an ensemble learning algorithm that classifies data by combining multiple decision trees. It has a wide range of applications and is not easy to overfit. It has a wide range of applications in medicine, bioinformatics, management and other fields. By studying the Cobb-Douglas sales function, it is found that it can only analyze the static allocation of marketing resources, but cannot describe the dynamic changes. Enterprise marketing resource management runs through the enterprise management from beginning to end. The research on marketing resource management is helpful for enterprises to grasp and control the whole process of marketing resource management from the overall and overall level, and has important theoretical value and reality for enterprise marketing management activities. significance. In the vast majority of enterprises in our country, the size of advertising promotion expenses and the number of salesmen is often determined based on the experience and subjective assumptions of decision makers, so it is difficult to say that they are optimized. This paper starts with determining the optimal advertising budget and the number of salespeople, and conducts applied research on the optimal allocation of marketing resources. © 2023 IEEE.

关键词： allocation algorithm Improved random forest marketing resource optimization

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Optimizing Wireless Power Transfers for Telecommunication Networks: Performance Evaluation and Strategies

Optimizing Wireless Power Transfers for Telecommunication Ne...

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2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023

作者： Bhatt, Upendra Mohan Sharma, Somya Francis, G. Arun Kaushik, Neeraj Hemelatha, S. Sharma, Y.K. Graphic Era Deemed to Be University Department of Computer Science & Engineering Uttarakhand Dehradun248002 India School of Commerce and Management Iimt University Meerut India Karpagam College of Engineering Department of Electronics and Communication Engineering Coimbatore641032 India Tmu Department of Ece India Karpagam Academy of Higher Education Department of Computer Science Engineering Coimbatore641021 India Computer Engineering Vishwakarma Institute of Information Technology Pune India

ISBN: (纸本)9798350357769

This study examines the typical performance of a wirelessly fueled transceiver in which an electricity source interacts with a target while being supplied by a specialized power transmitter (PB). As a transmission device, it is believed that the PB is competent of frequency prediction, cloud based spatial multiplexing, and spectral detection. When using a night before going to bed technique, the provider first collects information from either a PB with numerous receivers before sending data to the target. Theoretical formulas for the annualized pace for two distinct transmit antennas, particularly regarding postpone accepting and postponement incompatible, are obtained under the assumption of Nakagami-m path loss. Additionally, in some specific situations, such as the high send wattage domain and a huge assortment of antennas, closed-form methods for the ideal time spread that optimize the typical transmission are found. The effect of co-channel crosstalk is then researched. The total output can be increased at the PB by adding more broadcast transmitters, and since interruption can be used as an additional energy source, it may even be possible to use interruption to your advantage. This has been demonstrated by analytical and modeling findings. Additionally, the cruising pace is not significantly impacted by the energy conversion link's waning intensity level, particularly if there are a lot of PB receivers. Lastly, it is noted that the average flow is significantly influenced by the source. © 2023 IEEE.

关键词： Cellular data transmission Co-channel crosstalk Energy conversion link Frequency prediction Multiple access systems Optimization Performance evaluation Power beacons Power transmitter System model System performance Telecommunication networks Transmit antennas Wireless power transfer

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Relay-Assisted Connectivity Management for Underwater High Speed Communication Networks

Relay-Assisted Connectivity Management for Underwater High S...

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2023 IEEE International Conference on Paradigm Shift in Information Technologies with Innovative Applications in Global Scenario, ICPSITIAGS 2023

作者： Sahoo, Girija Shankar Renuka, G. Shinde, Swapnil K. Batri, Krishnan Lone, Zeeshan Ahmad Faiz, Ayaan Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India Prince Shri Venkateshwara Padmavathy Engineering College Department of Electronics and Communication Engineering Chennai India Vishwakarma Institute of Information Technology Department of Artificial Intelligence & Data Science Pune India Karnataka Bangalore India Vivekananda Global University Department of Computer Science & Engineering Jaipur India Centre of Interdisciplinary Research in Business and Technology Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350329773

Relay-assisted connectivity control for underwater high-pace verbal exchange networks improves verbal exchange velocity and reliability by connecting Wi-Fi networks to relays. By allowing communication among unique networks, it enables higher insurance, higher air interface, higher interference immunity, and higher network resilience. With underwater excessive pace verbal exchange networks, relays are used to ensure reliable operation to increase the networks' transmission range. Such relay-assisted verbal exchange networks can offer higher records costs than a single factor-to-factor link should provide. They can help to reduce the effect of interference that affects the speed of conversation over lengthy distances. This generation offers some benefits: extended latency, stepped forward bandwidth usage, accelerated community topology, improved fault tolerance and robustness, better statistics synchronization, and quicker handover in multi-radio networks. Additionally, with the help of relay-assisted verbal exchange networks, such networks' deployment, and operation costs can be decreased substantially. © 2023 IEEE.

关键词： Wi-Fi

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A m-Health Based Mobility Aid for Visually Challenged Persons 4

A m-Health Based Mobility Aid for Visually Challenged Person...

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4th International Conference on Emerging Research in electronics, computer Science and technology, ICERECT 2022

作者： Abitha, S.B. Kousik, R. Sudha, S. Jaiadityan, S. Velalar College of Engineering and Technology Department of Medical Electronics Erode India Velalar College of Engineering and Technology Department of Biomedical Engineering Erode India Amritha Vishwa Vidyapeetham Departmen of Computer Science Chennai India

ISBN: (纸本)9781665456357

God's greatest wonderful gift to humanity is the ability to perceive and interact with the world around them. However, some people have lost this skill owing to accidents or congenital illnesses. In this high-tech era, numerous assistive devices are on the market to aid people with impairments in living independent life. However, most existing medical assistive devices are not widely accepted due to their expensive cost, laborious setup involving high-end electronic components, and discomfort. So, to address this issue in existing medical devices, we developed a cost-effective medical assistive device in the form of a shoe that can be accepted by anyone who is blind and allows them to live an independent life without relying on others. This device is made up of an ultrasonic sensor and a camera that detects obstructions and sends signals to the user through a voice assistant. A flame sensor detects the presence of fire within and around the user. An IR sensor is used to identify pits. This infrared sensor will assist the vision impaired in protecting themselves from falling into the pit. In addition, an accelerometer sensor is utilized to aid the ultrasonic sensor in alerting the user to impediments while walking alone, rather than while sleeping or sitting in the same posture for an extended length of time. All sensor output is indicated to visually impaired people via a buzzer, and messages are delivered to the caregiver via IoT. To reduce power usage and make use of existing natural resources, we are deploying solar panels that generate electricity from the sun, which is a renewable resource. We designed it to be water-resistant for product purposes. This low-cost medical assistive gadget allows visually impaired people in the community to live a free and independent life rather than relying on others. Thus, this effort is a stride forward taken for the betterment of visually impaired individuals and to change their lifestyle. © 2022 IEEE.

关键词： Cost effectiveness

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