Remote sensing in field crop monitoring: A comprehensive review of sensor systems, data analyses and recent advances
The key elements that underpin food security require the adaptation of agricultural systems
to support productivity increases while minimizing inputs and the adverse effects of climate …
to support productivity increases while minimizing inputs and the adverse effects of climate …
Evaluation of a decided sample size in machine learning applications
D Rajput, WJ Wang, CC Chen - BMC bioinformatics, 2023 - Springer
Background An appropriate sample size is essential for obtaining a precise and reliable
outcome of a study. In machine learning (ML), studies with inadequate samples suffer from …
outcome of a study. In machine learning (ML), studies with inadequate samples suffer from …
Eye tracking-based diagnosis and early detection of autism spectrum disorder using machine learning and deep learning techniques
Eye tracking is a useful technique for detecting autism spectrum disorder (ASD). One of the
most important aspects of good learning is the ability to have atypical visual attention. The …
most important aspects of good learning is the ability to have atypical visual attention. The …
Deep and hybrid learning technique for early detection of tuberculosis based on X-ray images using feature fusion
Tuberculosis (TB) is a fatal disease in developing countries, with the infection spreading
through direct contact or the air. Despite its seriousness, the early detection of tuberculosis …
through direct contact or the air. Despite its seriousness, the early detection of tuberculosis …
Automatic and early detection of Parkinson's disease by analyzing acoustic signals using classification algorithms based on recursive feature elimination method
Parkinson's disease (PD) is a neurodegenerative condition generated by the dysfunction of
brain cells and their 60–80% inability to produce dopamine, an organic chemical …
brain cells and their 60–80% inability to produce dopamine, an organic chemical …
Hybrid techniques for the diagnosis of acute lymphoblastic leukemia based on fusion of CNN features
Acute lymphoblastic leukemia (ALL) is one of the deadliest forms of leukemia due to the
bone marrow producing many white blood cells (WBC). ALL is one of the most common …
bone marrow producing many white blood cells (WBC). ALL is one of the most common …
Early diagnosis of oral squamous cell carcinoma based on histopathological images using deep and hybrid learning approaches
Oral squamous cell carcinoma (OSCC) is one of the most common head and neck cancer
types, which is ranked the seventh most common cancer. As OSCC is a histological tumor …
types, which is ranked the seventh most common cancer. As OSCC is a histological tumor …
Multi-techniques for analyzing x-ray images for early detection and differentiation of pneumonia and tuberculosis based on hybrid features
An infectious disease called tuberculosis (TB) exhibits pneumonia-like symptoms and traits.
One of the most important methods for identifying and diagnosing pneumonia and …
One of the most important methods for identifying and diagnosing pneumonia and …
Influence of optimal hyperparameters on the performance of machine learning algorithms for predicting heart disease
GN Ahamad, Shafiullah, H Fatima, Imdadullah… - Processes, 2023 - mdpi.com
One of the most difficult challenges in medicine is predicting heart disease at an early stage.
In this study, six machine learning (ML) algorithms, viz., logistic regression, K-nearest …
In this study, six machine learning (ML) algorithms, viz., logistic regression, K-nearest …
Multi-method diagnosis of CT images for rapid detection of intracranial hemorrhages based on deep and hybrid learning
Intracranial hemorrhaging is considered a type of disease that affects the brain and is very
dangerous, with high-mortality cases if there is no rapid diagnosis and prompt treatment. CT …
dangerous, with high-mortality cases if there is no rapid diagnosis and prompt treatment. CT …