Suchergebnisse - "Narang, Pratik"

ReViewNet: A Fast and Resource Optimized Network for Enabling Safe Autonomous Driving in Hazy Weather Conditions von Mehra, Aryan, Mandal, Murari, Narang, Pratik, Chamola, Vinay

“… Adverse weather conditions such as fog, haze, snow, mist and glare create visibility problems for applications of autonomous vehicles. To ensure safe and …”
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DeepFakE: improving fake news detection using tensor decomposition-based deep neural network von Kaliyar, Rohit Kumar, Goswami, Anurag, Narang, Pratik

“… Social media platforms have simplified the sharing of information, which includes news as well, as compared to traditional ways. The ease of access and sharing …”
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AENeT: an attention-enabled neural architecture for fake news detection using contextual features von Jain, Vidit, Kaliyar, Rohit Kumar, Goswami, Anurag, Narang, Pratik, Sharma, Yashvardhan

“… In the current era of social media, the popularity of smartphones and social media platforms has increased exponentially. Through these electronic media, fake …”
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Integrating deep learning for visual question answering in Agricultural Disease Diagnostics: Case Study of Wheat Rust von Nanavaty, Akash, Sharma, Rishikesh, Pandita, Bhuman, Goyal, Ojasva, Rallapalli, Srinivas, Mandal, Murari, Singh, Vaibhav Kumar, Narang, Pratik, Chamola, Vinay

“… This paper presents a novel approach to agricultural disease diagnostics through the integration of Deep Learning (DL) techniques with Visual Question …”
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DerainGAN: Single image deraining using wasserstein GAN von Yadav, Sahil, Mehra, Aryan, Rohmetra, Honnesh, Ratnakumar, Rahul, Narang, Pratik

“… Rainy weather greatly affects the visibility of salient objects and scenes in the captured images and videos. The object/scene visibility varies with the type …”
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A hybrid approach for search and rescue using 3DCNN and PSO von Mishra, Balmukund, Garg, Deepak, Narang, Pratik, Mishra, Vipul

“… Search and rescue are essential applications of disaster management in which people are evacuated from the disaster-prone area to a safer place. This overall …”
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InFER++: Real-World Indian Facial Expression Dataset von Rizvi, Syed Sameen Ahmad, Seth, Aryan, Challa, Jagat Sesh, Narang, Pratik

“… Detecting facial expressions is a challenging task in the field of computer vision. Several datasets and algorithms have been proposed over the past two …”
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Background Invariant Faster Motion Modeling for Drone Action Recognition von Kotecha, Ketan, Garg, Deepak, Mishra, Balmukund, Narang, Pratik, Mishra, Vipul Kumar

“… Visual data collected from drones has opened a new direction for surveillance applications and has recently attracted considerable attention among computer …”
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FakeBERT: Fake news detection in social media with a BERT-based deep learning approach von Kaliyar, Rohit Kumar, Goswami, Anurag, Narang, Pratik

“… In the modern era of computing, the news ecosystem has transformed from old traditional print media to social media outlets. Social media platforms allow us to …”
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HIDeGan: A Hyperspectral-guided Image Dehazing GAN von Mehta, Aditya, Sinha, Harsh, Narang, Pratik, Mandal, Murari

“… Haze removal in images captured from a diverse set of scenarios is a very challenging problem. The existing dehazing methods either reconstruct the …”
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Drone-surveillance for search and rescue in natural disaster von Mishra, Balmukund, Garg, Deepak, Narang, Pratik, Mishra, Vipul

“… Due to the increasing capability of drones and requirements to monitor remote areas, drone surveillance is becoming popular. In case of natural disaster, it …”
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FNDNet – A deep convolutional neural network for fake news detection von Kaliyar, Rohit Kumar, Goswami, Anurag, Narang, Pratik, Sinha, Soumendu

“… •Fake News Detection using A Deep Neural Network.•Experimentation using Deep Learning Algorithms with hyper-parameters optimization.•Achieved 98.36% accuracy …”
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EchoFakeD: improving fake news detection in social media with an efficient deep neural network von Kaliyar, Rohit Kumar, Goswami, Anurag, Narang, Pratik

“… The increasing popularity of social media platforms has simplified the sharing of news articles that have led to the explosion in fake news. With the emergence …”
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TheiaNet: Towards fast and inexpensive CNN design choices for image dehazing von Mehra, Aryan, Narang, Pratik, Mandal, Murari

“… This work examines inexpensive design choices for dehazing as an end-to-end image-to-image mapping problem without relying on the physical scattering model …”
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Classification and study of music genres with multimodal Spectro-Lyrical Embeddings for Music (SLEM) von Mehra, Ashman, Mehra, Aryan, Narang, Pratik

“… The essence of music is inherently multi-modal – with audio and lyrics going hand in hand. However, there is very less research done to study the intricacies …”
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Mix design factors and strength prediction of metakaolin-based geopolymer von Lahoti, Mukund, Narang, Pratik, Tan, Kang Hai, Yang, En-Hua

“… Geopolymer is a promising alternative binder to Portland cement. However, the importance of mix design parameters affecting the mechanical properties of …”
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Deep3DSCan: Deep residual network and morphological descriptor based framework for lung cancer classification and 3D segmentation von Bansal, Gaurang, Chamola, Vinay, Narang, Pratik, Kumar, Subham, Raman, Sundaresan

“… With the increasing incidence rate of lung cancer patients, early diagnosis could help in reducing the mortality rate. However, accurate recognition of …”
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AI-enabled remote monitoring of vital signs for COVID-19: methods, prospects and challenges von Rohmetra, Honnesh, Raghunath, Navaneeth, Narang, Pratik, Chamola, Vinay, Guizani, Mohsen, Lakkaniga, Naga Rajiv

“… The COVID-19 pandemic has overwhelmed the existing healthcare infrastructure in many parts of the world. Healthcare professionals are not only over-burdened …”
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Domain-Aware Unsupervised Hyperspectral Reconstruction for Aerial Image Dehazing von Mehta, Aditya, Sinha, Harsh, Mandal, Murari, Narang, Pratik

“… Haze removal in aerial images is a challenging problem due to considerable variation in spatial details and varying contrast. Changes in particulate matter …”
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DroneSegNet: Robust Aerial Semantic Segmentation for UAV-Based IoT Applications von Chakravarthy, Anirudh S., Sinha, Soumendu, Narang, Pratik, Mandal, Murari, Chamola, Vinay, Yu, F. Richard

“… Unmanned Aerial Vehicles (UAVs) are the promising "Flying IoT" devices of the future, which can be equipped with various sensors and cognitive capabilities to …”
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