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Menampilkan 1–4 dari 4 artikel
Hybrid Dynamic Programming Healthcare Cloud-Based Quality of Service Optimization
Journal of Computing Theories and Applications
Vol 3
, No 2
(2025)
The integration of Internet of Things (IoT) with cloud computing has revolutionized healthcare systems, offering scalable and real-time patient monitoring. However, optimizing response times and energy consumption remains crucial for efficient healthcare delivery. This research evaluates various algorithmic approaches for workload migration and resource management within IoT cloud-based healthcare systems. The performance of the implemented algorithm in this research, Hybrid Dynamic Programming...
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An Empirical Analysis of Injection Attack Vectors and Mitigation Strategies in Redis NoSQL Database
Journal of Computing Theories and Applications
Vol 2
, No 4
(2025)
The contemporary landscape of data management, marked by an unprecedented scale and velocity of data, has spurred the widespread adoption of NoSQL databases, prioritizing scalability and performance over traditional relational constraints. While offering significant flexibility, this paradigm shift introduces complex cybersecurity challenges, notably query injection vulnerabilities, which are consistently ranked among the top web application security risks. Redis, a leading in-memory key-value s...
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Big Data-Driven Health Risk Stratification: A Health Index-Based Approach Using Feature Importance and PySpark
Journal of Computing Theories and Applications
Vol 2
, No 4
(2025)
Health risk stratification is crucial for preventive healthcare, yet existing models often rely on binary classification generalized disease prediction, neglecting personalized health indicators and graded risk levels. Many studies apply feature selection techniques like Relief and Univariate Selection without quantifying the weighted impact of features. To address these gaps, this study introduces a Big Data-driven Health Index (HI) framework using PySpark for scalable health risk stratificatio...
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Human Action Recognition in Military Obstacle Crossing Using HOG and Region-Based Descriptors
Journal of Computing Theories and Applications
Vol 2
, No 3
(2025)
Human action recognition involves recognizing and classifying actions performed by humans. It has many applications, including sports, healthcare, and surveillance. Challenges such as a limited number of classes of activities and variations within inter and intra-class groups lead to high misclassification rates in some of the intelligent systems developed. Existing studies focused mainly on using public datasets with little focus on real-life action datasets, with limited research on HAR for mi...
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