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International Journal of Computer Applications最新文献

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IoT Implementation for Monitoring and Controlling Solar Power Plant Systems 监测和控制太阳能发电厂系统的物联网实施
Pub Date : 2023-10-25 DOI: 10.5120/ijca2023923177
Ali Ramschie, Ronny Katuuk, Sulastri Eksan
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引用次数: 0
The Significance of Machine Learning in Clinical Disease Diagnosis: A Review 机器学习在临床疾病诊断中的意义综述
Pub Date : 2023-10-25 DOI: 10.5120/ijca2023923147
Rahman, S M Atikur, Ibtisum, Sifat, Bazgir, Ehsan, Barai, Tumpa
The global need for effective disease diagnosis remains substantial, given the complexities of various disease mechanisms and diverse patient symptoms. To tackle these challenges, researchers, physicians, and patients are turning to machine learning (ML), an artificial intelligence (AI) discipline, to develop solutions. By leveraging sophisticated ML and AI methods, healthcare stakeholders gain enhanced diagnostic and treatment capabilities. However, there is a scarcity of research focused on ML algorithms for enhancing the accuracy and computational efficiency. This research investigates the capacity of machine learning algorithms to improve the transmission of heart rate data in time series healthcare metrics, concentrating particularly on optimizing accuracy and efficiency. By exploring various ML algorithms used in healthcare applications, the review presents the latest trends and approaches in ML-based disease diagnosis (MLBDD). The factors under consideration include the algorithm utilized, the types of diseases targeted, the data types employed, the applications, and the evaluation metrics. This review aims to shed light on the prospects of ML in healthcare, particularly in disease diagnosis. By analyzing the current literature, the study provides insights into state-of-the-art methodologies and their performance metrics.
鉴于各种疾病机制的复杂性和患者症状的多样性,全球对有效疾病诊断的需求仍然很大。为了应对这些挑战,研究人员、医生和患者正在转向机器学习(ML),一种人工智能(AI)学科,以开发解决方案。通过利用复杂的ML和AI方法,医疗保健利益相关者可以获得增强的诊断和治疗能力。然而,针对机器学习算法提高准确性和计算效率的研究却很少。本研究探讨了机器学习算法在时间序列医疗指标中改善心率数据传输的能力,特别关注优化准确性和效率。通过探索医疗保健应用中使用的各种ML算法,综述了基于ML的疾病诊断(MLBDD)的最新趋势和方法。考虑的因素包括所使用的算法、所针对的疾病类型、所采用的数据类型、应用和评估指标。这篇综述旨在阐明机器学习在医疗保健领域的前景,特别是在疾病诊断方面。通过分析目前的文献,本研究提供了对最先进的方法及其性能指标的见解。
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引用次数: 2
Improvised Dynamic Round-Robin Scheduling for Optimum Resource Utilization in Cloud Systems 基于随机动态轮循调度的云系统资源优化利用
Pub Date : 2023-09-22 DOI: 10.5120/ijca2023923144
Suvarna N.A., Rashmi Priya
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引用次数: 0
AStar-Algorithm based Voice-Controlled Wheelchair for Quadriplegic Patients 基于star算法的四肢瘫痪患者声控轮椅
Pub Date : 2023-09-22 DOI: 10.5120/ijca2023923127
Mohamed R. Abdelkader, Eslam T. Abdullah, Rana A. Mohamed, Rehab K. Salam, Omar Y. Mohamed, Azza M. Anis
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引用次数: 0
AI and Prompt Architecture – A Literature Review 人工智能与提示架构——文献综述
Pub Date : 2023-09-22 DOI: 10.5120/ijca2023923133
Cassandra Ansara
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引用次数: 0
Assistive Technology to Maximize Learning Opportunities for People with Disabilities 为残障人士提供最大学习机会的辅助技术
Pub Date : 2023-09-22 DOI: 10.5120/ijca2023923085
Waad Alzahrani, Sara Alqaidi, Samar Alahmdi, Shahad Albugami, Waad Alsuraihi, Salma Elhag
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引用次数: 0
An Exploratory Study of Stacked Multilingual SMT Systems for Low Resource Languages 面向低资源语言的堆叠式多语言SMT系统探索性研究
Pub Date : 2023-09-22 DOI: 10.5120/ijca2023922810
Ikechukwu Ignatius Ayogu
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引用次数: 0
Automated Extractive Text Summarization using Genetic and Simulated Annealing Algorithms and their Hybridization 基于遗传和模拟退火算法的自动提取文本摘要及其杂交
Pub Date : 2023-09-22 DOI: 10.5120/ijca2023923105
Moheb R. Girgis, Marina Esam, Mamdouh M. Gomaa
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引用次数: 0
A Comprehensive Analysis of Game Hacking through Injectors: Exploits, Defenses and Beyond 通过注入器进行游戏黑客攻击的综合分析:利用、防御和超越
Pub Date : 2023-09-22 DOI: 10.5120/ijca2023923110
Francis Martinson, Dylan Rangel
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引用次数: 0
Forensic Analysis of Web-based Instant Messenger Applications using National Institute of Justice Method 使用国家司法研究所方法对基于web的即时通讯应用程序进行法医分析
Pub Date : 2023-09-22 DOI: 10.5120/ijca2023923145
Larassaty Chandra Pakaya, Imam Riadi
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引用次数: 0
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International Journal of Computer Applications
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