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检索条件"任意字段=2nd International Conference on Art, Science, and Engineering of Programming, Programming 2018"

共 1802 条记录，以下是31-40 订阅

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Comparative Analysis of Large Language Models in Solidity Smart Contract Vulnerability Detection: Review 2

Comparative Analysis of Large Language Models in Solidity Sm...

引用

2nd international conference on Advanced Innovations in Smart Cities, ICAISC 2025

作者： Almaghthawi, Amjad Yafooz, Wael M.S. College of Computer Science and Engineering Taibah University Computer Science Department Madinah Saudi Arabia

ISBN: (纸本)9798331506995

Blockchain (BC) technology and artificial Intelligence (AI) are promising areas with potential for powerful, secure, and decentralized applications in various sectors. Also, LLMs, are essential advanced machine learning frameworks, which are now used in various applications, including customer service, chatbots, code generation, and language translation. In terms of software development, LLMs are being investigated as a potential way to create smart contracts, focusing on their ability to emulate human programming techniques. For that purpose, this study reviews the capabilities and limitations of Large Language Models (LLMs) like GPT-3.5, PaLM2, and Code Llama in detecting vulnerabilities in Solidity smart contract code. © 2025 IEEE.

关键词： Report generators

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Diet Planning Models Based on Linear programming Theory for Catering Problems 2

Diet Planning Models Based on Linear Programming Theory for ...

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2nd international conference on Automation, Robotics and Computer engineering, ICARCE 2023

作者： Guo, Lianjun Zhang, Jiabo Yu, Jiayuan Wang, Gang Qi, Yunfei Liu, Tao Eighth Geological Brigade of Hebei Bureau of Geology and Mineral Resources Exploration Qinhuangdao China Marine Ecological Restoration and Smart Ocean Engineering Research Center of Hebei Province Qinhuangdao China School of Mathematics and Statistics Northeastern University at Qinhuangdao Qinhuangdao China

ISBN: (纸本)9798350308341

As residents attach more and more importance to healthy diet, the catering problem has garnered widespread public attention. Nutrient-based dietary planning can give viable dietary recommendations for the above problems. In this paper, this study establishes a dietary planning model to find the minimum dietary expenditure under the condition that the daily nutritional requirements of diabetic patients are met and the upper limit of nutrient intake is not exceeded. Employing a dependable mathematical model, we make viable planning for diverse social groups and varied food materials, so as to give viable recommendations to the greatest extent. © 2023 IEEE.

关键词： Linear programming

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Green Time Extension Method of Transit Signal Priority Control for Phase Overlapping Intersection 2

Green Time Extension Method of Transit Signal Priority Contr...

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2nd international conference on Automation, Robotics and Computer engineering, ICARCE 2023

作者： Yan, Yuting Liu, Haiqing Cui, Xue Yu, Chunyan Zhao, Yue College of Transportation Shandong University of Science and Technology Shandong China School of Transportation and Logistics Engineering Shandong Jiaotong University Shandong China Jinan Labor Information Technology Co. Ltd Shandong China

ISBN: (纸本)9798350308341

Aiming at the transit priority control problem under the existence of phase overlapping constraints at signalized intersection, this paper proposes a green time extension method based on non-linear programming. On the basis of the traditional ring-barrier, an improved phase signal timing structure is proposed to address the issue of overlapping. Further, a non-linear programming model for green time extension is presented, in which the objective function aims to optimize the transit priority effect while minimize the adjustments required for non-transit phases, and the constrains include minimum green time, maximum green time, overlapping rules and migration of coordinated phase. The numerical analysis results indicate that under the constraint of a fixed overlapping duration of 4 seconds and the existence of phase coordination, the proposed method can extend the green time for transit priority phases by 166.7% more than the traditional timing scheme. Moreover, the standard deviation of green time adjustments for non-transit phases is reduced by 43.1% compared to the traditional timing scheme under the same extension effect. © 2023 IEEE.

关键词： Nonlinear programming

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Enhancing Dynamic Abstract Generation for Code Summarization using CODE-OAN Models and DBWTFF Frames 2

Enhancing Dynamic Abstract Generation for Code Summarization...

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2nd IEEE international conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, ICIITCEE 2024

作者： Bhatt, Chandradeep Sharma, Manish Sharma, Sanjay Gupta, Shefali Singh, Teekam Kumar, Mukesh Computer Science and Engineering Graphic Era Hill University Uttarakhand Dehradun248002 India Computer Science & Engineering Graphic Era Deemed to Be University Uttarakhand Dehradun248002 India Sgrr Univeristy Computer Application Department Dehradun India Chitkara University Institute of Engineering and Tech Chitkara University Punjab India

ISBN: (纸本)9798350306415

This research presents a robustness code abstraction generation method based on an attention mechanism. The method involves extracting high-quality code and its corresponding description language material from the programming community, specifically focusing on the text of query specifications and code responses. Redundant code and its description language material are filtered out, and the query specifications are transformed into declarative sentences for code conversion. Finally, a series model based on the attention mechanism is utilized to generate code summaries. The method effectively eliminates redundancy and noise in the code, leading to improved accuracy rates in automatic judgment, artificial evaluation, and testing. The evaluation results demonstrate superior performance compared to existing baseline methods. © 2024 IEEE.

关键词： accuracy rate attention mechanism code abstraction code summarization declarative sentences description language high-quality code redundancy filtering robustness

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An Optimization Model for Logistics Services in E-Commerce Market 2

An Optimization Model for Logistics Services in E-Commerce M...

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2nd international conference on Data science and Information System, ICDSIS 2024

作者： Sivaparthipan, C.B. Alabdeli, Haider Harshitha, P. Nagendar, Y. Kulkarni, Girija G. Tagore Institute Of Engineering And Technology Department Of Cse Salem India The Islamic University College Of Technical Engineering Department Of Computers Techniques Engineering Najaf Iraq Nitte Menashaki Institute Of Technology Department Of Ai Ml Bengaluru India Sr University School Of Computer Science And Engineering Telangana Warangal India SacramentoCA United States

ISBN: (纸本)9798350381665

The E-commerce market is the most hype and growth sector in the economic, and many countries showing interest on e-commerce to develop the economy. In e-commerce the logistic is the key factor to consider for the profitable growth so focus on the reverse logistic for efficient distribution and increase profit. The reverse logistic is highlighted in this study for decrease the distribution cost and increases the distribution efficiency for growth of the e-commerce market. The study proposes the Hierarchical Density-Based Spatial Clustering of Application with noise (HDBSCAN) clustering algorithm for analyzing the customer behavior to solve route optimization problem. Then mathematical programming model was built for reducing the damages cost it includes fixed cost, green cost, cargo cost. Thereafter, the genetic algorithm was used to solve problem of the model and achieved 93.50% accuracy. The proposed method results show the promising results in solving the route optimization problem with consideration of the customer priority. Moreover, the propose method is greatly used for enterprises in reverse logistics to minimize the cost and time. © 2024 IEEE.

关键词： Electronic commerce

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Speech Recognition System for Upper-Limb Impairment: A Text Editor for programming via Voice 2

Speech Recognition System for Upper-Limb Impairment: A Text ...

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2nd international conference on Automation, Computing and Renewable Systems, ICACRS 2023

作者： Rampriya, R.S. Dharshan, R. Santhosh, S. School of Computer Science Engineering and Information Systems Vellore Institute of Technology Tamilnadu Vellore India Department of Computer Technology Madras Institute of Technology Tamilnadu Chennai India

ISBN: (纸本)9798350340235

programming is one of the most important skills to learn for the present and future generations. However, those with hand disabilities may find it difficult to program with a traditional keyboard and mouse. Disabled people would greatly benefit from assistive technology that allows them to use their voices to control computers. The existing system recognizes user input as voice and translates it into a program. However, the existing system only recognizes a limited number of keywords in a programming language. It would also be difficult to debug errors if the voice was misinterpreted. Our suggested work in speech recognition using natural language processing (NLP) would perform better than the previously available systems. It is possible to build a foundation for programming without a keyboard by creating tools that use a publicly accessible speech recognition API. Voice control of the user interface for program execution and code debugging would also be quite beneficial. This can be done with the help of modules such as Pynput. Keyboard, PyAutoGUI, which can simulate mouse cursor movements and clicks as well as keyboard button presses. The accuracy of our proposed system is 87%. When converting voice commands to text, the Word Error Rate (WER) is 18%. © 2023 IEEE.

关键词： Python Speech Recognition Speech-to-Text Vocal programming

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Enhancing Mobility with Next-Generation Partial Hand Prosthesis Using Arduino Uno and Flex Sensors 2

Enhancing Mobility with Next-Generation Partial Hand Prosthe...

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2nd international conference on Cyber Physical Systems, Power Electronics and Electric Vehicles, ICPEEV 2024

作者： Matury, Sai Sathwik Sam Stewart, X. Ra, Nawin Kumba, Krishna School of Computer Science & Engineering Vellore Institute of Technology Chennai India School of Electrical Engineering Vellore Institute of Technology Chennai India

ISBN: (纸本)9798350388664

The proposed work delves into the comprehensive design, development, and evaluation process of a 3D printed prosthetic arm, employing servo motors controlled by an Arduino Uno microcontroller to enable gesture mimicry through flex sensors integrated into a wearable glove. The primary objective is to provide an affordable and accessible solution for individuals with upper limb disabilities. The paper outlines the intricacies of the design process, system architecture, programming nuances, and rigorous testing procedures, showcasing promising results in terms of gesture accuracy, adaptability, and user-friendliness. The prosthetic arm demonstrates high precision in replicating various hand gestures. Future work will focus on enhancing the durability and responsiveness of the system to further improve its practical application. User feedback has been overwhelmingly positive, indicating significant potential for real-world adoption. © 2024 IEEE.

关键词： Servomotors

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A Review on Quantum Communication and Computing 2

A Review on Quantum Communication and Computing

引用

2nd international conference on Applied artificial Intelligence and Computing, ICAAIC 2023

作者： Sridhar, Gowri T Ashwini, P. Tabassum, Nikhath School of Electronics and Communication Engineering Reva University Bengaluru India

ISBN: (纸本)9781665456302

Quantum communication is based on a number of novel ideas. It is propelled forward by intriguing physics and associated disciplines such as superposition, entanglement, quantum tunneling, etc. This necessitates acquiring new skills ranging from physics, programming, computer science, communication engineering, mechanical engineering, and electrical engineering. The first applications have already reached market segments, and laboratories in universities are working on and developing advanced quantum networks, but the majority of the updates are yet to come. The quantum network is a new scientific field that is expected to become one of the core networking technologies in the future. In this research work, the fundamentals of quantum mechanics, the principles underlying it, and the progress made thus far in quantum computing and quantum communicationare discussed. © 2023 IEEE.

关键词： Quantum communication

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Multicore Implementation of K-Means Clustering Algorithm 2

Multicore Implementation of K-Means Clustering Algorithm

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2nd international conference on Applied artificial Intelligence and Computing, ICAAIC 2023

作者： Saklani, Rishabh Purohit, Karan Vats, Satvik Sharma, Vikrant Kukreja, Vinay Yadav, Satya Prakash Graphic Era Hill University Computer Science and Engineering Dehradun India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Computer Science and Engineering U.P. Greater Noida201306 India

ISBN: (纸本)9781665456302

Multi-core processing is extensively used in every sector for its performance efficiency, with the advent of multi-core architecture have to modify the existing primitive algorithms. This study analyses the feasibility of K-mean data-mining technique, which is applied to a hybrid cluster with multi-core programming. The algorithm is developed using Message Passing Interface (MPI) and C programming languages for the parallel processing of the sets and uses the CPU to its maximum power for the hybrid sets. The heterogeneous clusters are confirmed by the usage of MPICH2 (High performance and portability implementation of MPI). examined the algorithm for the huge dataset. The dataset is split into a number of cores and each of the cores estimates the number of dusters on the same dataset interdependent to each other. By this, assert the core processor time for communication is significant for huge datasets. Hence, the same dataset for two different processors takes different times even with identical speed and memory and also with different speeds and access times. © 2023 IEEE.

关键词： Message passing

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Revolutionizing Healthcare: A Smart Pill Detection System Empowered by Deep Learning for Intelligent Drug Recognition 2

Revolutionizing Healthcare: A Smart Pill Detection System Em...

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2nd IEEE international conference on Trends in Quantum Computing and Emerging Business Technologies, TQCEBT 2024

作者： Dhayanithi, A. Dalali, Shivakumar Madhavi, B. Surla, Govindu Marapelli, Bhaskar Arigela, Arun Kumar Sri Sairam Engineering College Department of Information Technology India Pes University Department of Computer Science and Engineering R R Campus India Srkr Engineering College Department of Information Technology Bhimavaram India Department of Cse Andhra Pradesh Mylavaram India Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering Andhra Pradesh India Department of Csit Telangana Hyderabad500043 India

ISBN: (纸本)9798350384277

In the dynamic landscape of healthcare, the accurate identification of medications stands as a critical pillar for patient safety and effective medical management. Traditional methodologies for identifying pills often rely on manual processes, placing a considerable burden on healthcare professionals and leaving room for errors, particularly when patients are unable to furnish precise prescription details. Compounding this challenge is the common practice of patients discarding medication containers, further complicating the identification process. At its core, the system harnesses the cutting-edge capabilities of artificial intelligence, specifically delving into advanced deep learning techniques. The overarching goal is to automate the intricate task of pill detection from images while simultaneously providing intelligent recognition of various medicinal *** by the robust Python programming language and underpinned by the sophisticated MobileNet architecture, the system aspires to achieve unprecedented accuracy and efficiency in the identification of pills and recognition of medicinal drugs. The training and testing processes unfold across a diverse dataset, encompassing a myriad of pill *** underscore the system's adaptability and real-world applicability within healthcare scenarios. The underlying ambition of this project is to furnish healthcare professionals with a state-of-the-art tool that not only mitigates the risk of medication errors but also optimizes time and resource utilization. Beyond its clinical applications, the system extends its impact to patients, affording them access to comprehensive information about their prescribed medications, thereby enhancing overall treatment comprehension and adherence. Over the ensuing sections, this project unfurls its narrative, delving into the intricate details of its methodology, implementation strategies, and the meticulous evaluation that underscores its potential to revolutionize healthcare t

关键词： Deep learning

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