IEEE

CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification

Abstract: Deep neural networks have demonstrated remarkable performance in point cloud classification. However, pre-vious works show they are vulnerable to adversarial per-turbations that can ...
IEEE

Revolutionizing Point Cloud Classification with Multiview Self-Supervised Learning

Abstract: Self-supervised models are shaping the future of point cloud processing by minimizing reliance on labeled data and addressing the challenges associated with point cloud annotation.
IEEE

Rice Leaf Disease Classification Using SVM-LSTM Technique for Agricultural System

Abstract: Rice, a crop widely produced in the nation, is susceptible to numerous diseases during its growth period. To prevent damage and enhance the production of crops in the rice field, rice ...
IEEE

Hybrid Deep Learning Model with ResNet50 and SVM for Diabetic Retinopathy Classification

Abstract: Diabetic eye diseases such diabetic retinopathy, cataracts, and macular edema are the primary risks to visual acuity if they are not appropriately detected. In order to guarantee appropriate ...
IEEE

Enhancing ADAS Safety: Pedestrian Motion Classification with mmWave Radar Point Cloud

Abstract: Early and precise pedestrian behavior recognition remains a challenge for Advanced Driver-Assistance Systems (ADAS) safety. This paper evaluates two classification methods for pedestrian ...
IEEE

k-PCA and SVM Technique for Zone Detection and Fault Type Classification in Transmission Lines

Abstract: Service engineering faces a tough challenge when it comes to the protection of transmission lines due to a complex and loaded network. In this paper, a hybrid k-PCA-SVM-based approach is ...
IEEE

An Adaptive Robust Support Vector Machine with Sequential Minimal Optimization for Imbalanced Data Classification

Abstract: Class imbalanced classification presents a considerable difficulty in machine learning, as conventional algorithms typically exhibit bias towards the majority class, compromising minority ...
IEEE

A Hybrid Approach Using CNN Feature Extraction and SVM/XGBoost for Lung Nodule Classification

Abstract: Early detection of lung cancer is highly beneficial for patient survival. This paper proposes a hybrid deep learning diagnostic pipeline for pulmonary nodules in chest CT. We constructed a ...
IEEE

Cyber-Resilient Detection of Power Quality Events With NSCT and PCA-SVM

Abstract: The increasing reliance on smart grids, coupled with the integration of renewable energy and growing cyber-physical interactions, has heightened the vulnerability of power systems to both ...
IEEE

Advancing Tennis Analytics: A Hybrid CNN-SVM Approach for Serve Action Classification

Abstract: The study seeks to determine the effect of blending the eradicate CNN-SVM model on accurately identifying tennis serve shot movements. The model utilizes a large dataset of high-definition ...
IEEE

Innovative Emotion Recognition with CNN-SVM: Bridging Deep Learning and Statistical Classification

Abstract: An attempt is made to classify the following five emotions using a CNN-SVM hybrid model designed for emotion recognition: the faces of fear, surprise, rage, happiness, and sorrow. Using ...
IEEE

A Point Cloud-Based Multi-class Car Classification by Using mmWave Radar and Deep Learning Models

Abstract: Object detection and classification have shown a great interest in the recent past. It helps to enhance efficiency, security, and safety in broad applications, including traffic management, ...