Penerapan Metode KNN dan Ekstraksi Ciri GLCM Dalam Klasifikasi Citra Ikan Berformalin
DA Larasati - 2022 - repository.uma.ac.id
Ikan memiliki protein yang tinggi, bahkan jenis ikan tertentu mengandung protein yang lebih
tinggi dari daging. Indonesia merupakan negara yang 75% wilayahnya terdiri dari lautan …
tinggi dari daging. Indonesia merupakan negara yang 75% wilayahnya terdiri dari lautan …
The ascent of artificial intelligence in endourology: a systematic review over the last 2 decades
Abstract Purpose of Review To highlight and review the application of artificial intelligence
(AI) in kidney stone disease (KSD) for diagnostics, predicting procedural outcomes, stone …
(AI) in kidney stone disease (KSD) for diagnostics, predicting procedural outcomes, stone …
Applications of microwaves in medicine leveraging artificial intelligence: Future perspectives
Microwaves are non-ionizing electromagnetic radiation with waves of electrical and
magnetic energy transmitted at different frequencies. They are widely used in various …
magnetic energy transmitted at different frequencies. They are widely used in various …
An intelligent non-invasive real-time human activity recognition system for next-generation healthcare
Human motion detection is getting considerable attention in the field of Artificial Intelligence
(AI) driven healthcare systems. Human motion can be used to provide remote healthcare …
(AI) driven healthcare systems. Human motion can be used to provide remote healthcare …
Deep learning-based metaheuristic weighted k-nearest neighbor algorithm for the severity classification of breast cancer
Objective The most widespread and intrusive cancer type among women is breast cancer.
Globally, this type of cancer causes more mortality among women, next to lung cancer. This …
Globally, this type of cancer causes more mortality among women, next to lung cancer. This …
Efficient k-nearest neighbor search based on clustering and adaptive k values
Abstract The k-Nearest Neighbor (k NN) algorithm is widely used in the supervised learning
field and, particularly, in search and classification tasks, owing to its simplicity, competitive …
field and, particularly, in search and classification tasks, owing to its simplicity, competitive …
Computer vision and machine learning-based gait pattern recognition for flat fall prediction
Background: Gait recognition has been applied in the prediction of the probability of elderly
flat ground fall, functional evaluation during rehabilitation, and the training of patients with …
flat ground fall, functional evaluation during rehabilitation, and the training of patients with …
Radar sensing for activity classification in elderly people exploiting micro-doppler signatures using machine learning
The health status of an elderly person can be identified by examining the additive effects of
aging along with disease linked to it and can lead to 'unstable incapacity'. This health status …
aging along with disease linked to it and can lead to 'unstable incapacity'. This health status …
Evaluation of three machine learning algorithms for the automatic classification of EMG patterns in gait disorders
C Fricke, J Alizadeh, N Zakhary, TB Woost… - Frontiers in …, 2021 - frontiersin.org
Gait disorders are common in neurodegenerative diseases and distinguishing between
seemingly similar kinematic patterns associated with different pathological entities is a …
seemingly similar kinematic patterns associated with different pathological entities is a …
Chiller system optimization using k nearest neighbour regression
This study applies the k nearest neighbour (kNN) regression to ascertain optimal operating
strategies for a chiller system, hence lowering its carbon emissions. First, 19 operating …
strategies for a chiller system, hence lowering its carbon emissions. First, 19 operating …