IEEE Xplore ((“All Metadata”: “deception detection”) OR (“All Metadata”: “deception detection using ML”) OR (“All Metadata”: “deception detection using DL”)) Science Direct “deception Detection” OR “deception detection using machine learning” OR “deception detection using deep le...
previous work was aimed at developing the algorithms and procedures for online automated systems. The Sytek project [4] started producing audit trails having enhanced security and considered different approaches for analyzing automated systems. These observations contributed to the first empirical evidence t...
Article IoT-Based Framework for COVID-19 Detection Using Machine Learning Techniques Ahmed Salih Al-Khaleefa 1,*, Ghazwan Fouad Kadhim Al-Musawi 2 and Tahseen Jebur Saeed 3 1 Department of Physics, Faculty of Education, University of Misan, Maysan 62001, Iraq 2 Faculty of Basic Education, ...
Compared with the LIAR dataset, which is more challenging, most of the machine learning techniques, both deep and conventional classification techniques, achieve an accuracy of higher than 90%. Table 5. Classification Accuracy of the Proposed Model using ISOT Dataset. Table 6 and Figure 9 show...
history = deque(maxlen = 8) output = 'result.mp4' clip = VideoFileClip("project_video.mp4") video_clip = clip.fl_image(detect_cars) %time video_clip.write_videofile(output, audio=False)AboutVehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving ...
The objective of this project is to identify and tracking road vehicles using traditional computer vision and machine learning techniques such as the histogram of oriented gradients (HOG) and support vector machines (SVM). In the first phase of the project, we trained a vehicle classification model...
The Deep Learning Virtual Machine (DLVM) enables users to jumpstart their deep learning projects. DLVM is pre-packaged with lots of useful tools such as pre-installed GPU drivers, popular deep learning frameworks and more, and it can facilitate any deep learning project...
the most essential characteristics will be chosen using CA, MI, and PCA approaches. Next, utilizing ensemble methods like Extra-Trees, Bagging, Extreme Gradient Boosting, Stacking, and Random Forest, several learning algorithms will be integrated. The best ensemble based machine learning botnet detect...
The goal of this project is to greatly reduce the barrier to entry to use machine learning. This Instructable should give you the tools you need to make some exciting machine learning projects. I hope to make some more interesting tutorials and demos in the future that use this development en...
Kick-start your project with my book Machine Learning in OpenCV. It provides self-study tutorials with working code. Let’s get started. Support Vector Machines for Image Classification and Detection Using OpenCV Photo by Patrick Ryan, some rights reserved. Tutorial Overview This tutorial is divid...