A review of feature selection methods for machine learning-based disease risk prediction
N Pudjihartono, T Fadason, AW Kempa-Liehr… - Frontiers in …, 2022 - frontiersin.org
Machine learning has shown utility in detecting patterns within large, unstructured, and
complex datasets. One of the promising applications of machine learning is in precision …
complex datasets. One of the promising applications of machine learning is in precision …
3D deep learning on medical images: a review
The rapid advancements in machine learning, graphics processing technologies and the
availability of medical imaging data have led to a rapid increase in the use of deep learning …
availability of medical imaging data have led to a rapid increase in the use of deep learning …
[HTML][HTML] A review on modern defect detection models using DCNNs–Deep convolutional neural networks
Background Over the last years Deep Learning has shown to yield remarkable results when
compared to traditional computer vision algorithms, in a large variety of computer vision …
compared to traditional computer vision algorithms, in a large variety of computer vision …
ECG-based machine-learning algorithms for heartbeat classification
S Aziz, S Ahmed, MS Alouini - Scientific reports, 2021 - nature.com
Electrocardiogram (ECG) signals represent the electrical activity of the human hearts and
consist of several waveforms (P, QRS, and T). The duration and shape of each waveform …
consist of several waveforms (P, QRS, and T). The duration and shape of each waveform …
A review of motion planning algorithms for intelligent robots
Principles of typical motion planning algorithms are investigated and analyzed in this paper.
These algorithms include traditional planning algorithms, classical machine learning …
These algorithms include traditional planning algorithms, classical machine learning …
Automatic severity classification of diabetic retinopathy based on densenet and convolutional block attention module
Diabetic Retinopathy (DR)-a complication developed due to heightened blood glucose
levels-is deemed one of the most sight-threatening diseases. Unfortunately, DR screening is …
levels-is deemed one of the most sight-threatening diseases. Unfortunately, DR screening is …
Potato leaf diseases detection using deep learning
D Tiwari, M Ashish, N Gangwar… - … and control systems …, 2020 - ieeexplore.ieee.org
With the enhancement in agricultural technology and the use of artificial intelligence in
diagnosing plant diseases, it becomes important to make pertinent research to sustainable …
diagnosing plant diseases, it becomes important to make pertinent research to sustainable …
Sentiment analysis of customer reviews of food delivery services using deep learning and explainable artificial intelligence: Systematic review
During the COVID-19 crisis, customers' preference in having food delivered to their doorstep
instead of waiting in a restaurant has propelled the growth of food delivery services (FDSs) …
instead of waiting in a restaurant has propelled the growth of food delivery services (FDSs) …
Performance evaluation of Botnet DDoS attack detection using machine learning
Botnet is regarded as one of the most sophisticated vulnerability threats nowadays. A large
portion of network traffic is dominated by Botnets. Botnets are conglomeration of trade PCs …
portion of network traffic is dominated by Botnets. Botnets are conglomeration of trade PCs …
Development of advanced artificial intelligence models for daily rainfall prediction
In this study, the main objective is to develop and compare several advanced Artificial
Intelligent (AI) models namely Adaptive Network based Fuzzy Inference System optimized …
Intelligent (AI) models namely Adaptive Network based Fuzzy Inference System optimized …