Search Results - "Tiwari, Prayag"
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Internet of Things is a revolutionary approach for future technology enhancement: a review
Published in Journal of big data (09-12-2019)“…Internet of Things (IoT) is a new paradigm that has changed the traditional way of living into a high tech life style. Smart city, smart homes, pollution…”
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Towards a Quantum-Inspired Binary Classifier
Published in IEEE access (2019)“…Machine Learning classification models learn the relation between input as features and output as a class in order to predict the class for the new given…”
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A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images
Published in Applied sciences (01-01-2020)“…Pneumonia is among the top diseases which cause most of the deaths all over the world. Virus, bacteria and fungi can all cause pneumonia. However, it is…”
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Brain MRI Image Classification for Cancer Detection Using Deep Wavelet Autoencoder-Based Deep Neural Network
Published in IEEE access (2019)“…Technology and the rapid growth in the area of brain imaging technologies have forever made for a pivotal role in analyzing and focusing the new views of brain…”
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5
Sound Classification Using Convolutional Neural Network and Tensor Deep Stacking Network
Published in IEEE access (2019)“…In every aspect of human life, sound plays an important role. From personal security to critical surveillance, sound is a key element to develop the automated…”
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Pixel and Feature Transfer Fusion for Unsupervised Cross-Dataset Person Reidentification
Published in IEEE transaction on neural networks and learning systems (2024)“…Recently, unsupervised cross-dataset person reidentification (Re-ID) has attracted more and more attention, which aims to transfer knowledge of a labeled…”
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Deep learning and evolutionary intelligence with fusion-based feature extraction for detection of COVID-19 from chest X-ray images
Published in Multimedia systems (2022)“…In recent times, COVID-19 infection gets increased exponentially with the existence of a restricted number of rapid testing kits. Several studies have reported…”
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DRLBTS: deep reinforcement learning-aware blockchain-based healthcare system
Published in Scientific reports (13-03-2023)“…Industrial Internet of Things (IIoT) is the new paradigm to perform different healthcare applications with different services in daily life. Healthcare…”
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Cascaded Split-and-Aggregate Learning with Feature Recombination for Pedestrian Attribute Recognition
Published in International journal of computer vision (01-10-2021)“…Multi-label pedestrian attribute recognition in surveillance is inherently a challenging task due to poor imaging quality, large pose variations, and so on. In…”
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Machine Learning Assisted Methodology for Multiclass Classification of Malignant Brain Tumors
Published in IEEE access (2022)“…Analysis of malignant and non-malignant brain tumors is done using a computer-aided diagnosis system by practitioners worldwide. Radiologists refer…”
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Block-Greedy and CNN Based Underwater Image Dehazing for Novel Depth Estimation and Optimal Ambient Light
Published in Water (Basel) (01-12-2021)“…A lack of adequate consideration of underwater image enhancement gives room for more research into the field. The global background light has not been…”
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Towards a blockchain-SDN-based secure architecture for cloud computing in smart industrial IoT
Published in Digital communications and networks (01-04-2023)“…Some of the significant new technologies researched in recent studies include BlockChain (BC), Software Defined Networking (SDN), and Smart Industrial Internet…”
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ANN based short-term traffic flow forecasting in undivided two lane highway
Published in Journal of big data (01-12-2018)“…Short term traffic forecasting is one of the important fields of study in the transportation domain. Short term traffic forecasting is very useful to develop a…”
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14
Deep-learning-enabled multimodal data fusion for lung disease classification
Published in Informatics in medicine unlocked (2023)“…The recent pandemic has revealed the urgent need for lung disease diagnosis at early stages in humans. Deep learning-based automatic diagnosis methods…”
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Accurate Traffic Flow Prediction in Heterogeneous Vehicular Networks in an Intelligent Transport System Using a Supervised Non-Parametric Classifier
Published in Sensors (Basel, Switzerland) (24-05-2018)“…Heterogeneous vehicular networks (HETVNETs) evolve from vehicular ad hoc networks (VANETs), which allow vehicles to always be connected so as to obtain safety…”
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Incorporating Artificial Fish Swarm in Ensemble Classification Framework for Recurrence Prediction of Cervical Cancer
Published in IEEE access (2021)“…IoT has facilitated predominant advancements in cancer research by incorporating Artificial intelligence (AI) that enables human decision-makers to achieve a…”
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Deep Learning-Based Smart IoT Health System for Blindness Detection Using Retina Images
Published in IEEE access (2021)“…Deep Learning-based Smart Healthcare is getting so much attention due to real-time applicability in everyone life's, and It has obtained more attention with…”
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Analyzing MRI scans to detect glioblastoma tumor using hybrid deep belief networks
Published in Journal of big data (01-06-2020)“…Glioblastoma (GBM) is a stage 4 malignant tumor in which a large portion of tumor cells are reproducing and dividing at any moment. These tumors are life…”
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Skin lesion segmentation method for dermoscopic images with convolutional neural networks and semantic segmentation
Published in Kompʹûternaâ optika (01-02-2021)“…Melanoma skin cancer is one of the most dangerous forms of skin cancer because it grows fast and causes most of the skin cancer deaths. Hence, early detection…”
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A Particle Swarm Optimized Learning Model of Fault Classification in Web-Apps
Published in IEEE access (2019)“…The term web-app defines the current dynamic pragmatics of the website, where the user has control. Finding faults in such dynamic content is challenging, as…”
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