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检索条件"任意字段=International Conference on Information Technology - Coding and Computing"

共 194931 条记录，以下是181-190 订阅

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Adaptive Evolutionary Neural Networks for Resilient Anomaly Detection in Decentralized Swarm Robotic Communication Systems

Adaptive Evolutionary Neural Networks for Resilient Anomaly ...

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2025 international conference on Intelligent Control, computing and Communications, IC3 2025

作者： Reddy, B. Veerasekhar Sharma, Tarunika Lakhanpal, Sorabh Swami, Rahul Najm, Rusul Anuradha, Kodali Sharma, Kailash Mlr Institute of Technology Department of Information Technology Telangana Hyderabad India New Horizon College of Engineering Department of Applied Sciences Bangalore India Lovely Professional University Phagwara India Galgotias University Department of Electrical Electronics & Communication Engineering Uttar Pradesh Gerater Noida203201 India College of Medical Technology The Islamic University Radiology Techniques Department Najaf Iraq Griet Department of Information Technology Bachupally Telangana Hyderabad India Gl Bajaj Institute of Technology and Management Dept. of Eee U.P. Gr. Noida India

ISBN: (纸本)9798331527495

This paper presents EvoCommNet, an adaptive evolutionary neural network designed specifically to find abnormalities in response to communication dynamics of robotic swarms inspired by foraging and exploration behaviours. EvoCommNet employs an evolutionary neural network to detect abnormalities in the swarm communication which might be indicative of problem with the system. Thus, through these evolutionary process, EvoCommNet optimises its structure to effectively detect anomalous behaviour with low computational requirements that will make the solution ideal for real time monitoring in resource limited environments. Designed and trained with PyTorch and tested on one unified swarm communication dataset, the vulnerability of the model to dynamic swarm communication patterns is evidenced and, therefore, the model should be useful and necessary in areas where communication continuity and proper abnormality detection are necessary for mission accomplishment. © 2025 IEEE.

关键词： Intelligent robots

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Implementing Blockchain for Transparent and Secure Financial Transactions in the Modern Business World

Implementing Blockchain for Transparent and Secure Financial...

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2025 international conference on Intelligent Control, computing and Communications, IC3 2025

作者： Saeed, Ali Swetha, K. Singh, Navdeep Yadav, Mohit Anandhi, R.J. Venkatraman, Akila College of Medical Technology The Islamic University Radiology Techniques Department Najaf Iraq Mlr Institute of Technology Department of Computer Science and Engineering Telangana Hyderabad India Lovely Professional University Phagwara India Galgotias university Department of Electrical Electronics & Communication Engineering Uttar Pradesh Gerater Noida203201 India New Horizon College of Engineering Department of Information Science Engineering Bangalore India Griet Department Of Information Technology Bachupally Telangana Hyderabad India

ISBN: (纸本)9798331527495

The main point of this study is to find out how blockchain technology might be able to help make business financial deals safer and more open. Blockchain technology is changing the financial world because it creates a global record system that can't be changed. These tools are making this change happen. Three parts are used in the method given to create a safe system: the Elliptic Curve Digital Signature Algorithm, Proof of Work agreement, and Merkle Trees. In this method, Merkle Trees are also used. These techniques are used by this system to investigate not only the data, but also the security of the cryptography and the proof that comes from outside the system. To find out how well firewalls, audit trails, SSL encryption, multi-signature wallets, and role-based access control work, the components must be compared to them. Using this method could have several benefits, such as decentralization, immutability, openness, correctness, foreign access, automation of smart contracts, and increased efficiency. According to the study, blockchain technology can make information easier to find, speed up financial transfers, and reduce concerns about security. © 2025 IEEE.

关键词： Authentication

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Combination kernel support vector machine based digital twin model for prediction of dyslexia in distributed environment 2nd

Combination kernel support vector machine based digital twin...

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2nd international conference on Next-Generation computing and information Systems, ICNGCIS 2023

作者： Kareemullah, H. Quraishi, Aadam Prashant, G.C. Shabaz, Mohammad Kollu, Archana Sandhu, Mukta B.S.A Crescent Institute of Science and Technology Tamil Nadu Chennai India Interventional Treatment Institute Houston Texas USA McAllenTX United States USA University Texas Tech University Lubbock StateTX United States Model Institute of Engineering and Technology J&K Jammu India Pimpri Chinchwad College of Engineering and Research Ravet Pune India Skill Department of Computer Science and Engineering Shri Vishwakarma Skill University Haryana Palwal India

ISBN: (纸本)9781032738659

Dyslexia is a learning disability that is widespread and marked with a persistent problem with word identification and spelling. It has an impact on a person’s capacity to decipher letters and words accurately and fluently. Dyslexia has emerged as one of the most widespread learning disabilities, though the medical experts have not yet come out explaining its core causes. In this research, the prediction and classification of dyslexia is effectively carried out with the help of brain images which acts as input to machine learning techniques towards the prediction of dyslexia. The proposed dyslexic prediction model uses a Combination digital twin Kernel-based Support Vector Machine (KSVM) optimized by Whales algorithm. The combination kernel SVM shows better accuracy and less computational time compared to single kernel of SVM in a distributed environment. The proposed combinational kernel is less complex than deep learning models. © 2025 The Author(s).

关键词： Support vector machines

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Pulse position coding method for cross-medium communication based on laser-induced acoustics 4

Pulse position coding method for cross-medium communication ...

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4th international Computational Imaging conference, CITA 2024

作者： Zhao, Zhengyi Tan, Qi Hu, Miaoyi Zhong, Shuai Du, Hao Ding, Guanchu Xu, Hang Ding, Xin Yao, Jianquan College of Precision Instrument and Optoelectronics Engineering Tianjin University Tianjin300072 China Ministry of Education Nanjing210024 China Hubei Key Laboratory of Modern Manufacturing Qualtity Engineering School of Mechanical Engineering Hubei University of Technology Wuhan430068 China Guilin University of Electronic Technology Key Laboratory of Optoelectronic Information Processing Guilin541010 China Laoshan Laboratory Qingdao266237 China

ISBN: (纸本)9781510688834

Laser acoustics refers to the phenomenon wherein lasers interact with water to generate sound waves.. Laser acoustics can be used to achieve wireless communication across media. Due to the physical mechanisms underlying laser acoustics, when the laser power density reaches the threshold of optical breakdown, the conversion efficiency is also significantly high. To ensure sufficient transmission distance, lasers with higher power densities are typically utilized. However, the repetition frequency of these lasers is often low, which significantly constrains the transmission rate. The information capacity of a single pulse can be increased to some extent through pulse position modulation. During transmission, when the position of the preceding pulse is biased backward and that of the subsequent pulse is biased forward, a "back-to-back" phenomenon occurs. This phenomenon causes the effective transmission frequency to be substantially lower than the repetition frequency, thereby significantly affecting the transmission rate. To address the issue of low transmission rates in cross-media communication, we propose a laser acoustic cross-media pulse position modulation technique based on 8B/10B coding. We employ 8B/10B coding to equalize the number of 0s and 1s in the data. We utilize eight distinct pulse positions to transmit three bits of data per laser operation. We employ a specific relationship between the modulation pulse positions and the corresponding data, along with adjacent pulse symmetric coding and the implementation of idle codes. This configuration induces the coding to produce continuous 0s or 1s during the "back-to-back" phenomenon. Clearly, after balancing the number of 0s and 1s, the encoding will not produce continuous 0s or 1s. With this configuration, if the position of the preceding pulse appears in the last three positions, the subsequent pulse will not appear in the first three positions. This configuration addresses the issue of pulse position modul

关键词： Pulse repetition rate

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The Future of Post-harvest Logistics: The Cold Chain Practices with Blockchain, IoT, and FinTech 5th

The Future of Post-harvest Logistics: The Cold Chain Practic...

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5th international conference on Advances in information Communication technology and computing, AICTC 2024

作者： Priyadarshi, Rahul Routroy, Srikanta Durbha, Krishna Sharma, Aditi Lulaj, Enkeleda Symbiosis Institute of International Business Symbiosis International University Maharashtra Hinjewadi Pune411057 India Mechanical Engineering Department Birla Institute of Technology & Science Pilani Pilani Campus Rajasthan333031 India Department of Management Presidency University Karnataka Rajanukunte Yelahanka Bengaluru560064 India Department of Computer Science and Engineering Symbiosis Institute of Technology Symbiosis International University Maharashtra Lavale Pune412115 India Faculty of Business University Haxhi Zeka Peja Kosovo

ISBN: (纸本)9789819761050

This study highlights the utility of blockchain, the Internet of Things (IoT) and FinTech in cold chain/post-harvest supply chain. Blockchain technology will enable the stakeholders in a post-harvest supply chain to track and trace the level of inventory, smart contracts, prices, associated costs, and scale of transactions at any stage in the supply chain. The IoT infrastructure linked with cloud computing will assist the blockchain ecosystem with time–temperature regulation, traceability, and decision-making. The practice of blockchain at decentralized levels linked with the global market will develop marketplaces and exports with enhanced information visibility, reduced spoilage ratio, and boost business prospects and the economy. Accepting and implementing blockchain and IoT will improve total supply chain profitability and reduce price spread. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Smart contract

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Computer Aided Diagnosis Multi-model System using Late Fuison and Ensemble Learning

Computer Aided Diagnosis Multi-model System using Late Fuiso...

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2025 international conference on Pervasive Computational Technologies, ICPCT 2025

作者： Priya, M.Kani Aruru, Gunabhiram Vanam, Nikhil Suganiya, M. Salomi, M. Srm Institute of Science and Technology School of Computing Faculty of Engineering and Technology Department of Computational Intelligence Tamil Nadu Chennai India Srm Institute of Science and Technology Department of Computing Technologies Tamil Nadu Chennai India Srm Institute of Science and Technology Department of Computational Intelligence Tamil Nadu Chennai India

ISBN: (纸本)9798331508685

Lung Cancer and brain tumors are the well-known causes of cancer deaths universal. Therefore, appropriate and accurate diagnosis is an important issue that affects better and more reliable treatment and the patient's chance of survival. Present diagnostic strategies are mostly based on a single piece of information. This often leads to missing necessary information, which can lead to Misidentification of condition or delay in timely treatment. This study presents a novel Computer-Aided-Diagnosis system designed to enhance the detection of lung cancer and brain tumors by integrating multimodal data, including medical images (CT and MRI scans) and clinical information. The proposed approach employs late fusion and ensemble learning techniques, utilizing CNN for processing CT images, VGG19 for analyzing MRI scans, and Random Forest classifiers for evaluating clinical data. By separately training these models, the system capitalizes on the distinct characteristics of each data modality, overcoming the limitations of traditional CAD systems that typically rely on a single data source. This comprehensive analysis not only improves diagnostic accuracy but also provides reliable predictions, ultimately facilitating better clinical decision-making for lung cancer and brain tumor detection. © 2025 IEEE.

关键词： Lung cancer

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Camouflaged Object Detection via Local Features and Selective Fusion 16

Camouflaged Object Detection via Local Features and Selectiv...

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2024 16th international conference on Graphics and Image Processing, ICGIP 2024

作者： Wang, Jiayi Cheng, Guoan Duan, Lianghua Wang, Na Yuan, Guanghao Wang, Shengke Ocean University of China Qingdao China Qingdao Harbour Vocational & Technical College Qingdao China Shandong Vocational College of Information Technology Weifang China Qingdao No.2 Middle School of Shandong Province Qingdao China

ISBN: (数字)9781510688780

ISBN: (纸本)9781510688773

Camouflaged Object Detection (COD) aims to accurately identify targets seamlessly integrated into complex surroundings, representing a challenging yet critical visual task. However, existing methods for detecting camouflaged objects perform sub-optimally in scenes with cluttered backgrounds and subtle edge information, primarily due to limitations in capturing local fine-grained features and fusing multi-scale features. To address these challenges, we propose a novel approach, LSFNet, which is designed to enhance the representational capability of the decoder by introducing detail-enhanced feature guidance and integrating an improved feature fusion module, thereby collectively tackling the challenges present in camouflaged object detection tasks. The model comprises two main components: the Local Guidance Augmentation Module (LGAM) effectively supplements high-quality detail information such as boundaries and textures by combining high-level semantic guidance, ensuring accurate identification even in indistinguishable edges. Additionally, a Selective Feature Fusion Perceptor (SFFP) is introduced to filter features extracted by the backbone network, selectively integrate multi-scale contextual information from top to bottom, and effectively suppress noise, achieving refined predictions. Extensive experiments conducted on four benchmark datasets demonstrate that LSFNet significantly outperforms 18 state-of-the-art methods, showcasing its outstanding performance in camouflaged object detection. © 2025 SPIE.

关键词： Semantic Segmentation

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Side-Channel Attack Based on Artificial Intelligence 14th

Side-Channel Attack Based on Artificial Intelligence

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14th international conference on Frontier computing, FC 2024

作者： Ye, Jun Shi, Runjia Sun, Shaorong Wang, Shuailin Zhao, Yan School of Cyberspace Security Hainan University Haikou570228 China Key Laboratory of Internet Information Retrieval of Hainan Province Haikou570228 China Hainan Provincial Public Security Department Haikou China

ISBN: (纸本)9789819627936

Over the past few years, there has been a swift advancement in deep learning, which has seen widespread adoption across various domains. Cryptographic device side-channel information analysis, a technique used in side-channel attacks, significantly imperils key security. In this paper, the research status and main methods of side-channel attack are investigated and analyzed. At the same time, the current application status of artificial intelligence technology in side-channel attack is explored. We compare and analyze the specific performance of CNNbest, MLP and Transformer in side-channel attack. The evaluation criteria used include the average ranking of the correct key, model accuracy under the same training time, and the time required to achieve the same accuracy. The influence of different epochs on the attack schemes based on different models is also explored. Through experiments, we prove that among the three models, CNNbest has higher efficiency and accuracy in the attack. Finally, we implement the system based on artificial intelligence technology through coding. In the system, we provide the above three models to choose from to realize the AI enablement of the side-channel attack technology. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Deep learning

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Enhancing Secure and Efficient Communication in Free-Space Optical Networks Using Spectral Amplitude coding - OCDMA technology 12th

Enhancing Secure and Efficient Communication in Free-Space O...

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12th international conference on Recent Trends in computing, ICRTC 2024

作者： Arunachalam, R. Singh, Rupali Kumar, M. Vinoth Department of Electronics and Communication Engineering Faculty of Engineering and Technology SRM Institute of Science and Technology Delhi-NCR Campus UP Modinagar India

ISBN: (纸本)9789819788354

A spectral amplitude coding optical code division multiple access (SAC OCDMA) system for free-space optical communication has been presented in this paper. The SAC method provides concurrent transmission and reception without interference. OCDMA is a method that employs orthogonal codes to mitigate the risks of surveillance and unauthorized access. Despite its susceptibility to environmental conditions, the FSO medium is chosen due to its high data transmission rates. The Gamma-Gamma turbulence model is used as an FSO channel, and the various signal attenuations in weather conditions have been studied in this work. The bit error rate at the receiver, eye diagram, received power, and geometrical loss are observed for various FSO link ranges. Incorporating SAC OCDMA within an FSO communication framework can provide efficient data transmission with increased speed, enhanced security, and dependability in challenging environments. The maximum supported FSO link lengths under weather conditions are analyzed. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Code division multiple access

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WellSphere: AI-Driven Lifestyle Health Diagnosis 3

WellSphere: AI-Driven Lifestyle Health Diagnosis

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3rd international conference on Intelligent and Innovative Technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Shifa Fathima, I. Kamalesh, S. Indhumugi, S. Velammal College of Engineering and Technology Department of Information Technology Tamilnadu Madurai India

ISBN: (数字)9798331515911

ISBN: (纸本)9798331515911

Well Sphere Fight against lifestyle undiagnosed diseases, diabetes, heart disease, Parkinson's disease, etc., by integrating Streamlit technology and advanced Machine Learning algorithms to provide patient populations residing at locations with least access to healthcare and health information with personalized health insights for their better care. The system will identify the potential victims of such disorders, based on thousands of health data elements, involving demographics and medical histories. Well Sphere will focus its monitoring on blood pressure, blood glucose, cholesterol, BMI, and family history for early detection of diabetes, heart diseases, and Parkinson's disease. The diagnosis should be made early to ensure that prompt lifestyle changes and medical interventions are performed before it leads to major problems. It will make an interface easy to use, so a user can take better control of his health journey and prevent such problems from arising and makes it easier to manage them appropriately. So, there is the possibility that well Sphere can radically change access to healthcare throughout the world with the help of the most advanced technologies in diagnostics and prediction, having positive health outcomes and reducing the spread of diseases caused by an unhealthy lifestyle © 2025 IEEE.

关键词： Electronic health record

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