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Advancing Image Security Through Deep Learning and Cryptography in Healthcare and Industry 4

Advancing Image Security Through Deep Learning and Cryptogra...

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4th International Conference on Emerging Trends in Networks and computer Communications, ETNCC 2024

作者： Kumar, Prajwal Laroia, Ankur Kumar, Mehul Laroia, Avi Upreti, Kamal Parashar, Jyoti Maharshi Dayanand University Computer Science Engineering Haryana India University of Texas at Dallas Ms in Business Analytics TX United States Amity University Computer Science Engineering Uttar Pradesh India Birla Institute of Technology Civil Engineering Pilani India Christ University Dept. of Computer Science Delhi NCR Campus India Dept. of Computer Science and Engineering Delhi India

ISBN: (纸本)9798350353266

Securing electronic health records (EHRs) in the Internet of Medical Things (IoMT) ecosystem is a key concern in healthcare due to the sector's differed environment. As the evolution of technology continues, ensuring the confidentiality, integrity, and accessibility of EHRs becomes more and more challenging. To enhance the confidentiality of healthcare picture data, this study explores the combined use of deep learning and cryptography methods. Through the utilization of weight analysis for improving encryption strength and the combination of chaotic systems to generate undetectable encryption patterns, it explores how deep neural networks can be modified for use in encryption. It also provides a survey of the present scenario of deep learning-based image detection of anomalies methods in working environments, such as network typologies, supervision levels, and assessment norms. Techniques in cryptography provide an effective means to protect confidential medical picture data while it's being transmitted and stored. Deep learning, on the other hand, has the ability to entirely change cryptography by providing robust encryption, resolution augmentation, and detection capabilities for medical image security. The paper outlines future research approaches to overcome these problems and tackles the opportunities and obstacles in medical image cryptography and industrial picture anomaly detection. Through this work, picture privacy in the healthcare and industrial sectors is advanced, opening the door to enhanced privacy, integrity, and availability of vital image data by overcoming the gap between deep learning and cryptography. © 2024 IEEE.

关键词： Electronic health record

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Cultural Intelligence in AI Ethics: A Systematic Framework for Implementation Across Global Contexts 3

Cultural Intelligence in AI Ethics: A Systematic Framework f...

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3rd International Conference on Intelligent Systems, Advanced Computing, and Communication, ISACC 2025

作者： Kumar, Devesh Kumar, Kamlesh Choudhary, Rahul Kumar Singh, Varnika NIT Hamirpur Dept. of Computer Science & Engineering India NIT Hamirpur Dept. of Electrical Engineering India Panjab University UIET Dept. of Electronics & Communication Engineering Chandigarh India

ISBN: (纸本)9798331523893

This research examines artificial intelligence ethics implementation across diverse cultural contexts through case studies in healthcare, finance, education, and corporate sectors. Using mixed-methods analysis across six cultural regions, the study reveals fundamental variations in approaches to AI ethics, particularly regarding data privacy and human-technology relationships. The integration of Western, Eastern, and African perspectives yields three frameworks: a cultural intelligence model for AI development, an adaptive governance mechanism, and a cross-cultural collaboration approach. Results demonstrate that successful AI implementation requires balancing diverse cultural perspectives with technical innovation through flexible governance structures, providing practical pathways for culturally sensitive AI development. © 2025 IEEE.

关键词： Intelligent computing

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Estimation of Wetland Area Change Using Sentinel-2 Satellite Images 5

Estimation of Wetland Area Change Using Sentinel-2 Satellite...

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5th IEEE International Conference on Electrical, computer and Communication Technologies, ICECCT 2023

作者： Annavarapu, Lalitha Anupama Popuru, Sahithi Afreen, Sk Asha Sailaja, K.L. Kumar, P. Ramesh VR Siddhartha Engineering College Dept. of Computer Science & Engineering Vijayawada India

ISBN: (纸本)9781665493604

Numerous functions, such as food supply, water supply, a means of subsistence in fishing, and recreational opportunities are provided by wetlands. Wetlands are in danger of expanding and degrading as a result of anthropogenic influences and the impact of climate change. Shoreline erosion, water pollution, and drought damage all worsen when wetlands are destroyed. Therefore, it is crucial to do a wetlands inventory in a location so that we can track or keep an eye on any changes that may have occurred over time. The monitoring of crop moisture and water bodies area like lakes and ponds are the two aims. Images used as input are gathered from the Sentinel Hub Earth Observation Browser. The input images chosen for monitoring wetland crop moisture are based on NDMI(Normalized Difference Moisture Index), whereas the input images chosen for monitoring water bodies are based on NDWI (Normalized Difference Water Index). To monitor the water bodies area, pre-processing using Gaussian blur was done followed by clustering which was done using the Fuzzy-C-Means algorithm followed by edge detection using a Canny edge detector and identifying the changes in the area of the water bodies over the previous five years using Open CV approaches. To monitor crops moisture, Clustering was carried out using the K-means clustering algorithm, the resultant image and masked image were performed bitwise AND followed by a comparison of changes in moisture percentage over the previous five years using Open CV techniques. © 2023 IEEE.

关键词： Crops

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Identity Authentication Techniques for Unmanned Ships Communication Based on MITRE ATT&CK Framework

Identity Authentication Techniques for Unmanned Ships Commun...

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2023 IET International Conference on engineering Technologies and applications, ICETA 2023

作者： Chang, Shih-Hao He, Junxian Dept. of Computer Science and Information Engineering National Taipei University of Technology Taipei Taiwan Dept. of Computer Science and Information Engineering Tamkang University New Taipei Taiwan

ISBN: (纸本)9781839539848

With the development of the smart ship industry, unmanned ship technology is rapidly evolving. In this paper, our objective is to analyze potential risks associated with identity authentication technology in unmanned ship communication systems. To effectively address these risks, we propose the utilization of the MITRE ATT&CK framework to organize and implement defense strategies. This framework offers a comprehensive and systematic approach to understanding potential threats and designing appropriate defensive measures. To validate the effectiveness of our proposed defense framework, we have also conducted simulation experiments. These experiments assist us in evaluating the efficiency and reliability of the strategies in real-world scenarios. © The Institution of engineering & Technology 2023.

关键词： Internet of things

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Youtube Transcript Summarizer 5

Youtube Transcript Summarizer

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5th International Conference on Mobile Computing and Sustainable Informatics, ICMCSI 2024

作者： Panthagani, Vijaya Babu Duggempudi, Vijaya Deepika Reddy Kommera, Naga Lakshmi Vakkalagadda, Nikhita Vignan's Foundation for Science Technology and Research Dept. Computer Science and Engineering A.P Guntur India

ISBN: (纸本)9798350395235

In the modern world, a video transcript summarizer offers a wide range of applications. It draws attention to the crucial points in the video. YouTube videos are watched in large quantities by people for a variety of reasons, including enjoyment, education, obtaining crucial information, and pursuing personal hobbies. Finding a video with any meaningful information about a subject is incredibly tough because most videos are just buffers for unimportant information. The main goal in the majority of situations is to get useful information from the video. In order to generalize YouTube video transcripts for abstractive text summary without sacrificing the essential details and substance, this research has developed a video summarization system based on Natural Language Processing and Machine Learning. The goal of this project is to make the writing for the videos shorter. © 2024 IEEE.

关键词： Machine learning

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Generalized Index Modulation System and Application for Satellite Communications 6

Generalized Index Modulation System and Application for Sate...

引用

6th IEEE Novel Intelligent and Leading Emerging sciences Conference, NILES 2024

作者： Ghorib, Khaled A. Abdelaziz, Amr Darwesh, Ahmed F. Mohasseb, Yahya Military Technical College Dept. of Communication Engineering Cairo Egypt Arab Academy for Science Technology and Maritime Transport Dept. of Computer Engineering Cairo Egypt

ISBN: (纸本)9798350378511

The generalized index modulation (G-IM) technique provides an improvement in bit error rate (BER), spectral efficiency (SE), and/or energy efficiency (EE) over traditional digital modulation schemes. However, G-IM techniques suffer from the propagation of errors due to the incorrect detection of indices for higher modulation order (M > 4). To alleviate the risk of error propagation, the enhancement of the correct indices detection probability is a crucial requirement for G-IM systems. This paper presents an error propagation-free generalized index modulation (G-IM) system with adaptive coding modulation in which the indices bits are coded independently on the information bits. The main focus of this study is to derive a quantitative relation between the target system BER and the required indices error rate and, hence, to derive the overall system error probability. In particular, an analytical total BER formula for the error propagation-free G-IM system is provided and compared to the total BER of the classical counterpart modulation techniques. Hence, a direct relationship between the BER of index bits and the ordinary modulation BER is represented, providing an approximate threshold after which the target BER of the G-IM system outperforms the traditional modulation techniques. To validate our established results, the G-IM system with low density parity check code with binary phase shift keying modulation technique (LDPC-BPSK), as a simple satellite coding-modulation scheme which is used in satellite digital video broadcasting TV (DVB-T2) and deep-space communications, is described as a possible direct application for the G-IM system. once the index BER exceeds the threshold, the LDPC-BPSK modulated G-IM system significantly outperforms the classical BPSK modulation while keeping the same EE or SE yet on the expense of added encoder complexity. Moreover, once the index error tends to the zero point, the total G-IM BER reaches its lower limit, a 3 dB gain, thanks t

关键词： Binary phase shift keying

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Review on TIRADS Scoring Based Thyroid Nodule Malignancy Detection 9

Review on TIRADS Scoring Based Thyroid Nodule Malignancy Det...

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9th International Conference on Smart Computing and Communications, ICSCC 2023

作者： James, Jisha Anand, H.S. Dept. of Computer Science and Engineering Kochi India Muthoot Institute of Technology and Science Kochi India Cvv Institute of Science and Technology Dept. of Computer Science Ernakulam India

ISBN: (纸本)9798350314090

Thyroid nodules are a common clinical finding, and their accurate risk stratification is essential for determining appropriate management strategies. The Thyroid Imaging Reporting and Data System (TIRADS) has emerged as a valuable tool for evaluating thyroid nodules by integrating various ultrasound features to predict malignancy. This research article aims to assess the efficacy of TIRADS scoring in detecting thyroid nodule malignancy and its potential as a standardized diagnostic tool. A comprehensive literature review was conducted to identify studies that evaluated the diagnostic performance of TIRADS scoring systems in different patient populations. The included studies demonstrated that TIRADS scoring systems exhibited substantial accuracy, sensitivity, and specificity in predicting thyroid nodule malignancy. The incorporation of ultrasound features, such as nodule size, composition, echogenicity, margins, and presence of calcifications, allowed for a standardized and reproducible risk stratification. TIRADS scoring systems also demonstrated the ability to optimize the decision-making process for further diagnostic workup, reducing unnecessary fine-needle aspiration biopsies and surgical interventions. The article also discusses the limitations and challenges associated with TIRADS scoring. © 2023 IEEE.

关键词： Machine learning

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A Single-Weight Neural Network for MIMO Signal Detection: Algorithm and Implementation 10

A Single-Weight Neural Network for MIMO Signal Detection: Al...

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10th International Conference on engineering and Emerging Technologies, ICEET 2024

作者： Ho, Yi-Cheng Yen, Mao-Hsu Lu, Hoang-Yang National Taiwan Ocean University Dept. of Computer Science and Engineering Keelung Taiwan National Taiwan Ocean University Dept. of Electrical and Engineering Keelung Taiwan

ISBN: (纸本)9798331532895

Existing deep learning-based MIMO detectors often face substantial memory demands due to the need to store neural network weights, posing a significant challenge to practical implementation. To address this issue, we propose a single-weight neural network, namely SW-Net. By reducing each layer's weight vector to a scalar, the required hardware storage is significantly reduced. Simulation results demonstrate that hardware requirements can be reduced while maintaining bit error rate (BER) performance. Additionally, we present the corresponding VLSI hardware architecture, implemented using TSMC's 90-nm CMOS technology, operating at 707 MHz. This design requires 1109 kGEs and achieves a throughput of 707 Mbps. © 2024 IEEE.

关键词： Deep neural networks

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Asthma Assessment Device for Pediatric Patients: A Proof of Concept

Asthma Assessment Device for Pediatric Patients: A Proof of ...

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2023 International Symposium on Networks, computers and Communications, ISNCC 2023

作者： Al-Ghafran, Muneera Ahmadizadeh, Fatemeh Al-Naimi, Asma Abualsaud, Khalid Yaacoub, Elias College of Engineering Dept. of Computer Science & Engineering Qatar University Doha Qatar

ISBN: (纸本)9798350335590

Asthma is a common lung illness that causes breathing difficulties. It affects people of all ages and generally begins in childhood;however, it can also appear in adults for the first time. There is presently no cure, but there are basic treatments that can help keep the symptoms under control. This paper aims to monitor asthma attacks for pediatrics under twelve years according to the following parameters: oxygen blood level, respiratory rate, and pulse rate. The resulting measures would be compared to pre-determined health standards. The respiratory rate is calculated and deduced by analyzing the result of air pressure sensor. The pulse rate and oxygen level are obtained from an oximeter. These measurements were compared with the normal health status to decide if the child has an asthma attack or not. The result is given within two minutes. The values of the three parameters and the final status of asthma are displayed on the screen. The main aim of the paper is to propose a monitoring device that can be used in a hospital or at home where parents can constantly check the status of their children in a short period of time without having to go to the hospital. The success of this device is getting accuracy higher than 85%. © 2023 IEEE.

关键词： Hospitals

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Multi-label Bengali Abusive Comments Classification using Problem Transformation Method 20

Multi-label Bengali Abusive Comments Classification using Pr...

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20th International Conference on Electrical engineering, Computing science and Automatic Control, CCE 2023

作者： Khan, Tahsin Tasnia Hassan, Abid Ahamed, Md Faysal Islam, Samiul Rajshahi University of Engineering & Technology Dept. of Electrical & Computer Engineering Rajshahi Bangladesh North South University Dept. of Electrical & Computer Engineering Dhaka Bangladesh International Standard University Dept. of Computer Science & Engineering Dhaka Bangladesh

ISBN: (纸本)9798350306767

Sentiment analysis on the Bengali language is limited to binary and multi-class classifications. This paper focuses on the multi-label classification of the Bengali abusive social media comments dataset having 10220 rows of different social media negative comments using the problem transformation method. The texts are categorized into five labels: toxic, threat, obscene, insult, and racism. Three different multi-label approaches: Binary Relevance, Label Powerset, and Classifier Chain combined with three popular machine learning algorithms: Multinomial Naive Bayes, Random Forest, and Logistic Regression are implemented in this research. This study evaluates the performance of these models by applying them to various classification scenarios, considering five-label, four-label, three-label, and two-label classifications independently. Our research outcomes are evaluated with some performance indicators: Accuracy, Precision, Recall, F1-Scores, Confusion matrix, Macro-average, and Hamming score. The combination of Label Powerset and Logistic Regression outperformed the other two classifier-model combinations because of their quick adaptation to the dataset with an accuracy of 88.07% for five label classifications, 90.12% for four label classifications, 90.56% considering three label classifications and 92.67% for two label classification individually. With 88.07% accuracy, the Label Powerset with Logistic Regression approach can be applied to classify five types of sentiment in a single text. © 2023 IEEE.

关键词： Classification (of information)

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