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Human–AI collectives make the most accurate medical diagnoses, according to new study
Artificial intelligence (AI) can effectively support doctors in making diagnoses. It makes different mistakes than humans—and ...
Scientific Research Publishing16d
Ashar Ahmed Fazal, and Maryam Daud, (2023) Detecting Phishing Websites Using Decision Trees: A Machine Learning Approach. International Journal for Electronic Crime ...
ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction ... Regression, Decision Trees, and Support Vector Machines (SVM). In order to ...
Frontiers17d
Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China
2022). Two machine learning algorithms (RF and SVM) were used to classify tree species based on all extracted features. RF is based on decision trees, reduces overfitting through random attribute ...
Frontiers17d
A risk prediction system for depression in middle-aged and older adults grounded in machine learning and visualization technology: a cohort study
Grounded in longitudinal cohort data from 8,839 participants, this study successfully developed a depression symptom and risk prediction system for middle-aged and older adults, incorporating various ...
IEEE18d
A Heuristic Decision Tree Algorithm for Filipino Sign Language (FSL) Translator Implemented Using Accelerometers with Bluetooth Connectivity to a Host PC
The Decision Tree algorithm is based on the data performed in 30 trials and is implemented to improve the speed recognition of the system. The design is capable of rendering fingerspelled alphabets ...
SciELO19d
Lifestyle predictors of depression and anxiety during COVID-19: a machine learning approach
Depression and anxiety were examined using the PHQ-2 and the GAD-7, respectively. Elastic net, random forest, and gradient tree boosting were used to ... anxiety in a large Brazilian sample using ...
IEEE29d
QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems
The promising results obtained from applying the proposed quantum algorithm, which integrates the quantum neural network (QNN) and the quantum support vector machine ... the decision boundary ...