Machine learning-based analysis of nutrient and water uptake in hydroponically grown soybeans
Recent advancements in sustainable agriculture have spurred interest in hydroponics as an
alternative to conventional farming methods. However, the lack of data-driven approaches in …
alternative to conventional farming methods. However, the lack of data-driven approaches in …
Software Defects Identification: Results Using Machine Learning and Explainable Artificial Intelligence Techniques
The rising deployment of software in automation and the cognitive skills of machines
indicate a machine revolution in modern human civilization. Thus, diagnosing and predicting …
indicate a machine revolution in modern human civilization. Thus, diagnosing and predicting …
A comprehensive evaluation of machine learning algorithms for web application attack detection with knowledge graph integration
The capability to accurately detect web application attacks, especially in a timely fashion, is
crucial but remains an ongoing challenge. This study provides an in-depth evaluation of 19 …
crucial but remains an ongoing challenge. This study provides an in-depth evaluation of 19 …
Optimizing Academic Certificate Management with Blockchain and Machine Learning: A Novel Approach Using Optimistic Rollups and Fraud Detection
K Tan-Vo, K Pham, P Huynh, MTN Thi, TT Ta… - IEEE …, 2024 - ieeexplore.ieee.org
Blockchain technology has brought a significant advancement in the development of
academic certificate management systems by enhancing security, transparency, and …
academic certificate management systems by enhancing security, transparency, and …
[PDF][PDF] Exploring Important Factors in Predicting Heart Disease Based on Ensemble-Extra Feature Selection Approach
Heart disease is a significant and impactful health condition that ranks as the leading cause
of death in many countries. In order to aid physicians in diagnosing cardiovascular diseases …
of death in many countries. In order to aid physicians in diagnosing cardiovascular diseases …
[PDF][PDF] AN EARLY RNA-SEQ DETECTION SYSTEM FOR BREAST TUMOURS BASED ON MACHINE LEARNING
AM ALEESA, AA MOHAMMED… - Journal of Engineering …, 2024 - jestec.taylors.edu.my
Cancer, a pervasive global health issue, accounts for approximately 9 million deaths
annually. The survival rate of cancer patients significantly improves with early detection and …
annually. The survival rate of cancer patients significantly improves with early detection and …
[HTML][HTML] The Early Warning Signs of a Stroke: An Approach Using Machine Learning Predictions
Early stroke prediction is vital to prevent damage. A stroke happens when the blood flow to
the brain is disrupted by a clot or bleeding, resulting in brain death or injury. However, early …
the brain is disrupted by a clot or bleeding, resulting in brain death or injury. However, early …
Intelligent Dynamic Cybersecurity Risk Management Framework with Explainability and Interpretability of AI models for Enhancing Security and Resilience of Digital …
The sophistication of cyberattacks has significantly increased, making it almost certain that
organizations can be victims of cyberattacks at any time. Managing cybersecurity risk is …
organizations can be victims of cyberattacks at any time. Managing cybersecurity risk is …
Techniques to Predict Employee Attrition Using Optimized Levy Fruit Fly Optimization Algorithm
R Preena - 2024 - researchsquare.com
Competent people are a valuable asset for strong businesses. The issue of retaining
competent staff with expertise poses a challenge to business owners. Companies may incur …
competent staff with expertise poses a challenge to business owners. Companies may incur …