Gan-Based Day-To-Night Image Style Transfer For Night Time Vehicle Detection
Technology: Deep Learning / GAN &..
Krushi Sahyog: Plant disease identification and Crop recommendation using Artificial Intelligence
Aim: To detect the plant leaf disease and to recommend the crop using Machine and Deep learning. Abstract: India is one of the leading countries worldwide in terms of farm output. Even after being a leading ..
Learning Deep Gradient Descent Optimization for Image Deconvolution
Technology: Deep Learning  ..
Lung Lesion Localization of COVID-19 From Chest CT Image: A Novel Weakly Supervised Learning Method
Aim: To detect the COVID-19 using CT images by using Convolutional neural networkAbstract: The Corona-virus 2019(COVID-19), which first occurs in Wuhan city of China in December 2019, spread quickly around the world an..
Oriented Ship Detection Based on Strong Scattering Points Network in Large-Scale SAR Images
Aim: To automate the detection of presence of ships and to classify the types of ships available in the given Image.Synopsis: The detection of inshore and offshore ships is an essential task for a large variety of applications in both militar..
Plant Disease Detection and Classification by Deep Learning: A Review
Aim: To detect the plant leaf diseases using convolutional neural network for high accuracy detection.Synopsis: Identification of leaf disease is very difficult in agriculture field. If identification is incorrect then there is a huge ..
Read, Watch, Listen and Summarize: Multi-modal Summarization for Asynchronous Text, Image, Audio and Video
Abstract: Text summarization plays a vital role in our daily life and has been studied for several decades. Multimedia data have greatly changed the way people live and make it difficult for users to obtain important information efficiently. Intuitively, readers can grasp the gist of the event more easily by scanning the..
Sagittal Cervical Spine Landmark Point Detection in X-Ray Using Deep Convolutional Neural Networks
Aim: We proposed CNN For detecting sagittal cervical spine landmark points in X-Ray images. Our proposed experiments show that PoseNet trained using IC-Loss can perform a very accurate sagittal cervical spine landmark point localization task.Abstract: &nb..
Ship Detection and Segmentation using Unet
Aim: To automate the detection of presence of ships and to classify the types of ships available in the given Image.Synopsis: The detection of inshore and offshore ships is an essential task for a large variety of applications in both military and civilian fields. The sur..
Sleep Apnea Detection From Single-Lead ECG: A Comprehensive Analysis of Machine Learning and Deep Learning Algorithms
Aim: We proposed detecting Sleep Apnea Detection From Single-Lead ECG. The advancement of smart wearables technologies has provided a unique opportunity for sleep and health monitoring. However, wearable technologies rely on accurate and real-time monitoring algorithms.Abstract..
Two-Wheeler Vehicle Traffic Violations Detection and Automated Ticketing for Indian Road Scenario
Aim: To detect the two-wheeler vehicle traffic violations using Yolo V5 algorithms with the help of customized dataset.Abstract: Traffic violation monitoring and control is a major concern in India due to excess crowd, increasin..
Variational Formulation Of Unsupervised Deep Learning For Ultrasound Image Artifact Removal
Technology: Deep Learning / GAN Tool: M..