Prediction of insufficient accuracy for human activity recognition using convolutional neural network in compared with support vector machine

MS Saravanan, S Charan - 2022 5th International Conference …, 2022 - ieeexplore.ieee.org
This work seeks to anticipate human action detection and assess its health in machine
learning algorithms in order to increase accuracy and detect human activity. The framework …

Proton versus photon adjuvant radiotherapy: a multicenter comparative evaluation of recurrence following spinal chordoma resection

AK Ghaith, R Nguyen, VG El-Hajj, A Montaser… - Neurosurgical …, 2024 - thejns.org
OBJECTIVE Chordomas are rare tumors of the skull base and spine believed to arise from
the vestiges of the embryonic notochord. These tumors are locally aggressive and frequently …

Exploring and Contrasting the Forecasting of Innovative Bradycardia through the Naive Bayes Algorithm, Alongside an Accuracy Evaluation Against the Support …

G Devisetty, NS Kumar - Case Studies on Holistic Medical …, 2025 - taylorfrancis.com
Aim: To effectively predict Innovative Bradycardia, this study utilized machine learning
techniques, specifically employing the Naive Bayesian Algorithm (NB) and Support Vector …

Performance Analysis of Accuracy for Prediction of Innovative Bradycardia using K-Nearest Neighbor Classifier over Support Vector Machine

G Devisetty, NS Kumar - Case Studies on Holistic Medical …, 2025 - taylorfrancis.com
Aim: The goal of this research is to improve the accuracy of predictions for Innovative
Bradycardia Disease by refining the performance of Support Vector Machine (SVM) and K …

Evaluating the performance of Gaussian filter in identifying potholes in comparison with Canny edge detector to measure accuracy

S Guna, P Premkumar - AIP Conference Proceedings, 2024 - pubs.aip.org
This research aims to compare and contrast two methods for detecting potholes in roads: the
Canny edge detectors with the Gaussian filter. Instructions and Requirements: On 180 …