An experimental study of tomato viral leaf diseases detection using machine learning classification techniques

S Sagar, J Singh - Bulletin of Electrical Engineering and Informatics, 2023 - beei.org
Agriculture is the backbone of India and more than 50% of the population is dependent on it.
With the increasing demand for food with the increase in population, it is the need of time …

Parkinson's disease diagnosis using Laplacian score, Gaussian process regression and self-organizing maps

M Nilashi, RA Abumalloh, S Alyami, A Alghamdi… - Brain sciences, 2023 - mdpi.com
Parkinson's disease (PD) is a complex degenerative brain disease that affects nerve cells in
the brain responsible for body movement. Machine learning is widely used to track the …

Accuracy Analysis of Type-2 Fuzzy System in Predicting Parkinson's Disease Using Biomedical Voice Measures

M Nilashi, RA Abumalloh, H Ahmadi, S Samad… - International Journal of …, 2024 - Springer
Parkinson's disease (PD) is a progressive neurodegenerative illness triggered by decreased
dopamine secretion. Fuzzy logic has gained substantial attention in PD diagnosis research …

A modified kNN algorithm to detect Parkinson's disease

R Indu, SC Dimri, P Malik - … Modeling Analysis in Health Informatics and …, 2023 - Springer
Parkinson's disorder is the second most common neurodegenerative disease, where the
patients experience unintentional agitations and motor skills deterioration over time …

[PDF][PDF] Best-worst northern goshawk optimizer: a new stochastic optimization method.

PD Kusuma, FC Hasibuan - International Journal of Electrical & …, 2023 - academia.edu
This study introduces a new metaheuristic method: the best-worst northern goshawk
optimizer (BW-NGO). This algorithm is an enhanced version of the northern goshawk …

ACCREDITATION PREDICTION OF EARLY CHILDHOOD EDUCATION INSTITUTIONS USING MACHINE LEARNING TECHNIQUES

N Noripansyah, A Kadir… - Jurnal Teknik …, 2023 - jutif.if.unsoed.ac.id
Accreditation is an acknowledgement of an educational institution regarding the feasibility of
carrying out the educational process. Making predictions can save time for early childhood …

Improved Feature Extraction for Sound Recognition Using Combined Constant-Q Transform (CQT) and Mel Spectrogram for CNN Input

SDH Permana, TKA Rahman - 2023 International Conference …, 2023 - ieeexplore.ieee.org
This paper delves into an innovative paradigm for enhancing feature extraction in the realm
of speech recognition. It integrates the Constant-Q Transform (CQT) and Mel Spectrogram …