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共 197 条记录，以下是11-20 订阅

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Detection of Autism Spectrum Disorder using Deep Learning Models

Detection of Autism Spectrum Disorder using Deep Learning Mo...

引用

international conference on inventive computing and informatics (ICICI)

作者： Kotha Chakradhar Kotte Thulasi Tharun Periyavaram Sandesh Kumar Reddy Thangam S Department of Computer Science & Engineering Amrita School Of Computing Bengaluru Amrita Vishwa Vidyapeetham India

ISBN: (数字)9798350373295

ISBN: (纸本)9798350373301

Autism Spectrum Disorder (ASD) is a serious developmental disorder that involves problems with social interaction and communication, as well as repetitive behavior. Early diagnosis and treatment are key to improving the lives of people with autism. One recent breakthrough in the field involves the use of cutting-edge machine learning algorithms to automatically identify ASD using different kinds of data like behavioral observations. The proposed approach combines various types of deep learning models such as YOLOv8n, Detectron2, VGG16, ResNet50, Xception, Inceptionv3, and MobileNetV2. Using these models’ capabilities, the goal of the research study is to increase the distinction between ASD-related behavior signals and normal development patterns. The effectiveness of our method was demonstrated by test results which showed it was highly accurate.

关键词： Deep learning Autism Machine learning algorithms Accuracy Computational modeling informatics Residual neural networks

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Trip Craft: Personalized Travel Recommendation Bot

Trip Craft: Personalized Travel Recommendation Bot

引用

international conference on inventive computing and informatics (ICICI)

作者： Hema Senthil Murugan Kalidindi Bhavana Sarikonda Sri Nimitha Manazhy Rashmi Department of Electronics and Communication Engineering Amrita Vishwa Vidyapeetham India

ISBN: (数字)9798350373295

ISBN: (纸本)9798350373301

The Travel Recommendation Bot is a specialized solution devised to help users in crafting their travel plans, particularly for destinations and attractions within Kerala, India. By considering user inputs such as origin, duration of stay, and preferred types of attractions and destinations, the bot generates tailored recommendations aimed at enhancing the overall travel experience. Key functionalities of the chatbot include computing travel distances and time with the help of Open-Source Routing Machine (OSRM) API, finding an efficient travel method and employing a dual approach to suggest nearby attractions and recommend destinations based on user preferences. It Leverages a curated dataset and employs the K-Nearest-Neighbor (KNN) algorithm to recommend destinations based on user preferences. The chatbot employs the Rapid Automatic Keyword Extraction Algorithm (RAKE) for Intent Recognition to interpret user queries and deliver personalized suggestions. Through the integration of Natural Language Processing (NLP) algorithms and the travel-related dataset, the chatbot serves as an effective virtual travel assistant, empowering users to plan their trips efficiently and elevate their travel experiences.

关键词： Intent recognition Nearest neighbor methods Chatbots Routing informatics

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Exploring the Application of Multi-Objective Optimization Algorithms in Logistics Sensor Networks

Exploring the Application of Multi-Objective Optimization Al...

引用

international conference on inventive computing and informatics (ICICI)

作者： Shuguang Guo Jiangsu Maritime Institute Nanjing China

ISBN: (数字)9798350373295

ISBN: (纸本)9798350373301

This study explores the application of multi-objective optimization algorithms in logistics sensor networks, with a particular focus on real-time tracking in cold chain logistics. Leveraging technologies such as RFID, sensor networks, and intelligent computing, the study proposes efficient solutions for inventory management, route optimization, and smart logistics. The proposed HEMO-MRSS algorithm addresses the Vehicle Routing Problem (VRP) to minimize the number of vehicles and increase efficiency. Through a comprehensive literature review, recent advances in wireless sensor networks (WSNs) are examined and their contributions to various domains are highlighted. The methodology section describes the design of logistics systems with sensors and the application of multi-objective optimization algorithms, and presents a detailed model for integrated vehicle routing with time windows. The simulation, performed on a Windows 11 system, evaluates the effectiveness of the proposed algorithms using four evaluation metrics. The results show improved performance under optimized conditions, especially in the mean and optimal values, suggesting the importance of optimization in improving algorithmic efficiency in logistics sensor networks.

关键词： Measurement Wireless sensor networks Bibliographies Vehicle routing Inventory management Real-time systems informatics

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Intelligent passenger coordination and management of urban rail transit based on network information analysis

Intelligent passenger coordination and management of urban r...

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international conference on inventive computing and informatics (ICICI)

作者： Jun Li Tianjin Transportation Technical College Tianjin City China

ISBN: (数字)9798350373295

ISBN: (纸本)9798350373301

In response to the escalating transportation demand in urban areas due to population growth and urbanization, the development and efficient operation of urban rail transit systems have become crucial. This study proposes an innovative approach for intelligent passenger coordination and management in urban rail transit systems by utilizing advanced network information analysis techniques. Through comprehensive evaluation and analysis of the urban rail transit network, this research aims to optimize operational efficiency and improve service quality. By integrating cutting-edge technologies and analytical methods, the proposed methodology addresses existing challenges and improves the overall performance of urban rail transit systems. The study includes a thorough review of related work in intelligent transportation systems, followed by a detailed description of the proposed methodology, focusing on the technical foundations of rail transit networks and intelligent passenger coordination strategies. In addition, the study presents simulation results that demonstrate the effectiveness of the proposed approach in optimizing passenger flow management and improving the travel experience for urban residents.

关键词： Rails Reviews Simulation Urban areas Transportation Kernel informatics

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A Comprehensive Study on Misconfiguration-SAAS Security Threat

A Comprehensive Study on Misconfiguration-SAAS Security Thre...

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international conference on inventive computing and informatics (ICICI)

作者： Kovvuru Dhanush Shaik Abdul Azeez Kolagani Hari Naga Vara Prasad Patcha Mohan Sai Kiran S. Kavitha M. Kavitha Department of Computer Science and Enginnering Koneru Lakshmaiah Education Foundation Guntur India

ISBN: (数字)9798350373295

ISBN: (纸本)9798350373301

Cloud computing is a rapidly advancing technology that leverages internet resources for optimal computing capabilities. Service providers in the cloud domain strive to maximize resource efficiency through various service models. This scenario presents distinctive hurdles, which call for joint endeavors involving researchers from both IT and information security domains to tackle and rectify these challenges. This article explores the inherent dangers linked with cloud computing paradigms, with a particular emphasis on the security framework of Software-as-a-Service (SaaS). It offers an in-depth examination of the variables impacting SaaS security. It is crucial to tackle these security concerns during the design and development phases of cloud SaaS applications. This approach aims to establish a secure, compliant, and trustworthy environment for users engaging with cloud SaaS. This research work serves as a valuable resource for an indepth exploration of SaaS security, highlighting vulnerabilities and addressing security threats. Researchers can benefit from the insights provided here as they delve into the intricate landscape of cloud computing security.

关键词： Cloud computing Data privacy Computational modeling Data security Software as a service Information security Focusing

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Enhancing Hybrid Filtering for Evolving Recommender Systems: Dealing with Data Sparsity and Cold Start Problems

Enhancing Hybrid Filtering for Evolving Recommender Systems:...

引用

international conference on inventive computing and informatics (ICICI)

作者： Swathi Mirthika G. L. B. Sivakumar Department of Computing Technologies School of Computing College of Engineering and Technology SRM Institute of Science and Technology Kattankulathur Chengalpattu Tamilnadu India

ISBN: (数字)9798350373295

ISBN: (纸本)9798350373301

The recommendation system has become common due to the widespread use of the Internet and the availability of a wide range of products. It serves as a useful tool in assisting decision-making on online purchases. Challenges in recommender system such as difficulties in starting a system from scratch, unavailability of important data, excessive focus on specific areas, lack of up-to-date information, scarcity of data, and incorrect metadata. The traditional recommendation system relies on the collaborative filtering algorithm. The most effective suggestion techniques are Collaborative Filtering and Content Based Filtering. Despite their popularity, these filtering systems still suffer from several limitations, including the Cold Start Problem, Sparsity, and Scalability, all of which result in subpar suggestions and to provide a recommendation-anticipation system based on a hybrid approach in this article. The suggested solution combines content-based filtering with collaborative *** research established a model for an online shopping recommendation system that takes into account both people and products by analyzing two types of conventional algorithms.

关键词： Filters Filtering Collaborative filtering Scalability Collaboration Metadata Internet

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Cloud Transformation and the Key Concerns for Cloud Security and Challenges

Cloud Transformation and the Key Concerns for Cloud Security...

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international conference on inventive computing and informatics (ICICI)

作者： Masina Sai Kiran Balajee R M Koripella Veera Venkata Satya Sai M V V Satya Kishore Srithar S Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Guntur Andhra Pradesh India

ISBN: (数字)9798350373295

ISBN: (纸本)9798350373301

Cloud transformation has become a pivotal strategy for organizations seeking to leverage the advantages of cloud computing. This process involves migrating IT infrastructure, applications, and data to cloud platforms to enhance scalability, flexibility, and cost-efficiency. However, as organizations embrace cloud technologies, cloud security is a paramount concern. Protecting data and resources in the cloud requires robust identity and access management, encryption, network security, and compliance adherence. Yet, alongside the potential benefits, cloud transformation presents its unique set of challenges. Managing cloud costs, ensuring data migration without disruption, maintaining performance and reliability, and avoiding vendor lock-in are among the challenges organizations must address. This research work highlights the critical importance of striking a balance between cloud transformation and cloud security, while navigating the complex landscape of cloud challenges to ensure a successful and secure cloud journey.

关键词： Technological innovation Navigation Cloud computing security Scalability Organizations Propulsion Network security

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Node based Label Propagation for Bitcoin Transaction Pattern Identification Over Similar Community 6

Node based Label Propagation for Bitcoin Transaction Pattern...

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6th international conference on inventive Computation Technologies, ICICT 2023

作者： Manwal, Manika Alvi, Ahmad Murtaza Turaga, Nagendra Kumar Mittal, Amit Rivera, Richard Degadwala, Sheshang CSE Graphic Era Hill University Dehradun India CSE Graphic Era Deemed to be University Dehradun India College of Finance Department of Business Administration Saudi Electronic University Riyadh Saudi Arabia India Department of Allied Science Graphic Era Hill University Bhimtal263136 India Department of Informatics and Computer Science Escuela Politécnica Nacional Quito Ecuador Sigma Institute of Engineering Engineering Block Sigma Group of Institutes Ajwa-Nimeta Road Bakrol Gujarat Vadodara390019 India

ISBN: (纸本)9798350398496

People have conducted decentralized transfer transactions through Bitcoin addresses ever since the Bitcoin system launchedonline, drastically improving the convenience of transactions. Simultaneously, peer-to-peer transaction logs have become a subject of study. However, it requires a significant amount of time and computing capacity to examine the entire network directly, and it is not conducive to observing the transaction mode within the entity. Consequently, it is possible to construct and analyses the transaction network based on the entity service community and further investigate entity behavior and Bitcoin entities within the service community. A central node-based label propagation algorithm is proposed by enhancing the conventional label propagation algorithm, which divides the Bitcoin entity transaction network into districts and analyses the core communities, including exchanges and mining pools. The transaction method is realistic and straightforward to comprehend. The enhanced label propagation algorithm can converge more quickly and reduce the randomness of the results of community division. The experimental results demonstrate that the internal transaction modalities of various services vary. The simplified display makes the Bitcoin transaction network more readable. © 2023 IEEE.

关键词： Blockchain

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Diabetes prediction with the concept of AADE7 behavior using machine learning approach

Diabetes prediction with the concept of AADE7 behavior using...

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international conference on inventive computing and informatics (ICICI)

作者： Alhuseen Omar Alsayed Nor Azman Ismail Layla Hasan Abinash Tripathy Faculty of Computing Universiti Teknologi Malaysia (UTM) Johar Bahur Malaysia School of Computer Applications KIIT University Bhubaneswar Odisha India

ISBN: (数字)9798350373295

ISBN: (纸本)9798350373301

The human body, much like a machine, requires regular maintenance to function properly. However, due to certain detrimental habits, human body is susceptible to diseases such as diabetes, which can affect individuals from age 18 onward. Diabetes has numerous causes and effects, which can vary among healthcare professionals. The American Association of Diabetes Educators (AADE) has proposed seven self-care behaviors, collectively known as AADE7 for effective diabetes management. These guidelines not only offer preventive measures but also suggest ways to manage the disease if one is already affected. This research study analyzes the Indian Pima Diabetes dataset using Support Vector Machine (SVM) and Naive Bayes algorithms to predict diabetes. The outcomes of this approach are evaluated using a confusion matrix and other performance metrics.

关键词： Support vector machines Measurement Medical services Machine learning Diabetes Naive Bayes methods Maintenance

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Securing Information Transfer with Hybrid Cryptography via Cloud

Securing Information Transfer with Hybrid Cryptography via C...

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international conference on inventive computing and informatics (ICICI)

作者： Shreenagamanjula Rani Santhosh Krishna B V Tejaswini S Uma Maheshwari A Triveni A Dept. of CSE New Horizon College of Engineering Bengaluru India

ISBN: (数字)9798350373295

ISBN: (纸本)9798350373301

Security of data is the foremost concern within cloud environments, given the prevalent trend among organizations to store their data there. This study concentrates on hybrid encryption methods, analyzing their implementation and effectiveness in cloud environments with a focus on performance enhancement, algorithm speed, efficacy evaluation, and comparison with existing methods. The research introduces a new hybrid algorithm that merges symmetric (Twofish) and asymmetric (RSA) cryptographic techniques. The study demonstrates the heightened security potential of the proposed Twofish+RSA hybrid algorithm. Additionally, it contrasts this with the AES+RSA approach, aiming to provide a balanced and secure data protection solution across different applications. Notably, the Twofish+RSA hybrid method excels in computation time, ciphertext size, and memory usage. The proposal of a multilayered cryptography-based security solution is driven by the increasing emphasis on cloud computing security in research. Security concerns are pervasive in today's technology-driven landscape, particularly in the realm of cloud computing, where vulnerabilities can be exploited by attackers. The transition from local to cloud storage further exacerbates these security challenges.

关键词： Computational modeling Cloud computing security Standards organizations Random access memory Data protection Organizations Market research

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