IEEE

MonoICT: A Monocular 3-D Object Detection Model Integrating CNN and Transformer

Abstract: In the field of autonomous driving, 3-D object detection is a crucial technology. Visual sensors are essential in this area and are widely used for 3-D object detection tasks. Recent ...
IEEE

Deep Learning Based Binary Classification of Invasive Ductal Carcinoma: A Comparative Study on CNN and VIT Models

Abstract: This research concerns binary classification of Invasive Ductal Carcinoma (IDC) using two deep learning models, Convolutional Neural Networks (CNNs) along with Vision Transformers (ViTs). We ...
IEEE

Short-Term Wind Power Prediction Model Based on MIC-CEEMDAN-VMD-CNN-BiLSTM

Abstract: To enhance the precision of wind power forecasting, this paper proposes a model that employs feature selection and secondary decomposition techniques. Initially, the maximal information ...
TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
IEEE

Deep Learning Meets Traditional AI: A Hybrid CNN-RF Model for Accurate and Explainable Skin Lesion Classification

Abstract: In dermatology, the task of skin lesion classification is a very important one, for early detection and treatment of skin cancer. In this work, we propose a hybrid AI model where ...
IEEE

Hybrid Models for Medical Image Analysis: CNN-SVM in Diabetic Foot Ulcer Detection

Abstract: Diabetic foot ulcer (DFU) is one of the most critical consequences of diabetes characterized by high mortality and potential risks for lower limb amputations. It is important if the disease ...
IEEE

Enhancing Sensitivity and Specificity in Diabetic Retinopathy Detection Using CNN-LSTM Models

Abstract: Early and accurate detection of diabetic retinopathy (DR), as the leading cause of blindness worldwide, is important to prevent blindness. We propose a hybrid Convolutional Neural Network ...
IEEE

A Multimodal IoT Sensing System With Hybrid LSTM–CNN Model for Predictive Fault Diagnosis in Elevators

Abstract: This article presents a multimodal Internet of Things (IoT)-enabled sensing system integrated with a hybrid deep learning framework for predictive fault diagnosis in elevator systems. The ...
IEEE

A Novel CNN Architecture for Alzheimer's Disease Classification Using MRI Images: Comparison with Traditional Machine Learning Models

Abstract: Automated medical image processing has significantly improved with recent advances in deep learning and imaging technologies, particularly in the area of neuroimaging-based Alzheimer's ...
IEEE

Deep Learning Models for Precision Agriculture: Evaluating CNN Architectures for Accurate Plant Disease Detection

Abstract: Early and precise detection of plant diseases is crucial for enhancing crop yield and minimizing agricultural losses. This paper evaluates the performance of deep learning-based ...
IEEE

Comparison of CNN Model with Different Machine Learning Models for Fake News Detection

Abstract: Fake news continues to be a critical issue in today's era for any citizen concerned about political integrity and the state of governance. The use of internet has experienced exponential ...
IEEE

Explainability of CNN Based Classification Models for Acoustic Signal

Abstract: Explainable Artificial Intelligence (XAI) has emerged as a critical tool for interpreting the predictions of complex deep learning models. While XAI has been increasingly applied in various ...