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IEEE

CNN-Based Machine Learning Model for Disease Prediction in Crops

Abstract: Potato crops are vital to global food security, but they are susceptible to several diseases that hinder growth and yield. Traditional methods of detecting these diseases rely on ...
IEEE

Conv-MTD: A CNN Based Multi-Label Medical Tubes Detection and Classification Model to Facilitate Resource-constrained Point-of-care Devices

Abstract: Computer-aided detection through deep learning is becoming a prevalent approach across various fields, including detection of anomalies in medical procedures. One such medical procedure ...
IEEE

Implementation of MobileNetV2 SSD FPN-Lite CNN Model for Real-time Detection Spinach Leaf Diseases

Abstract: Early detection of disease in spinach plants is critical in preventing the spread of infection and yield losses. The main objective of this research is to develop an application that is ...
IEEE

Hybrid CNN-XAI Model for Predicting Student Academic Performance

Abstract: This study presents a combined method that improves the ability to predict and understand outcomes by merging Convolutional Neural Networks (CNN) with Explainable Artificial Intelligence ...
IEEE

XRF Spectral Feature Extraction and Classification Method Based on the EO-CNN Deep Learning Model

Abstract: An XRF spectral feature extraction and classification method based on an EO-CNN model is proposed to address the complexities of soil spectral data and improve classification accuracy. The ...
IEEE

PixTransNet: A Sensor-Aware CNN-Transformer Model for Magnetic Flux Leakage Defect Segmentation

Abstract: Magnetic Flux Leakage (MFL) is a widely used non-destructive evaluation (NDE) technique for pipeline inspection. However, its signals are highly sensitive to noise and geometric distortions, ...
IEEE

Classification of Human and Synthesized Audio in Marathi Speech using Melspectrogram Analysis and Convolutional Neural Network (CNN) Model

Abstract: In recent years, the demand for effective audio classification systems has grown significantly, due to the rise of audio synthesizer tools and text-to-speech converters. Though there are ...
Insider Monkey

BTC’s long-term value + PlanMining’s stable cash flow = a new investment model

The global crypto-financial ecosystem is undergoing an unprecedented reshaping. The gradual improvement of regulatory policies in various countries is pushing crypto assets from marginalization toward ...
IEEE

Estimating Individual Building Heights by Integrating Spaceborne LiDAR and Multisource Remote Sensing Data: A CNN-Transformer Model and A Semi-Supervised Sample Augmentation ...

Abstract: Building height is a key metric in transitioning urban analysis from two-dimensional to three-dimensional perspectives. It serves as a fundamental indicator for assessing urban development, ...
IEEE

WSC-Trans: A CNN-Transformer Structure-Based 3D Multi-Structural Automatic Segmentation Model for Temporal Bone CT

Abstract: Cochlear implantation is the most effective treatment for severe deafness, which requires accurate localization of temporal bone anatomy. Preoperative CT image segmentation is an essential ...
IEEE

ODE-CNN: A Fault Diagnosis Model for Complex Data of Rolling Bearings

Abstract: To address the limitations of traditional convolutional neural networks (CNNs) in managing complex rolling bearing data, this paper proposes an Ordinary Differential Equation-Convolutional ...
GitHub

Output Quantization difference between models that has an ADD layer adding outputs from two FC layers

OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Windows11 and WSL on Windows TensorFlow installation (pip package or built from source): pip package TensorFlow library (version, if pip ...