Search Results - "Shukla, Nagesh"
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Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review
Published in Remote sensing (Basel, Switzerland) (01-05-2020)“…One of the most challenging research subjects in remote sensing is feature extraction, such as road features, from remote sensing images. Such an extraction…”
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COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data
Published in IEEE access (01-01-2020)“…Detecting COVID-19 early may help in devising an appropriate treatment plan and disease containment decisions. In this study, we demonstrate how transfer…”
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3
Breast cancer data analysis for survivability studies and prediction
Published in Computer methods and programs in biomedicine (01-03-2018)“…•Developed a robust unsupervised data analytical model to better understand the survivability of breast cancer patients.•Proposed an approach that can analyse…”
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Multi-Object Segmentation in Complex Urban Scenes from High-Resolution Remote Sensing Data
Published in Remote sensing (Basel, Switzerland) (01-09-2021)“…Terrestrial features extraction, such as roads and buildings from aerial images using an automatic system, has many usages in an extensive range of fields,…”
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5
Cloud computing technology: Reducing carbon footprint in beef supply chain
Published in International journal of production economics (01-06-2015)“…Global warming is an alarming issue for the whole humanity. The manufacturing and food supply chains are contributing significantly to the large-scale carbon…”
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Deep Learning and Explainable Artificial Intelligence Techniques Applied for Detecting Money Laundering-A Critical Review
Published in IEEE access (2021)“…Money laundering has been a global issue for decades, which is one of the major threat for economy and society. Government, regulatory and financial…”
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Sentiment Analysis of Customer Reviews of Food Delivery Services Using Deep Learning and Explainable Artificial Intelligence: Systematic Review
Published in Foods (21-05-2022)“…During the COVID-19 crisis, customers' preference in having food delivered to their doorstep instead of waiting in a restaurant has propelled the growth of…”
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Road Extraction from High-Resolution Orthophoto Images Using Convolutional Neural Network
Published in Journal of the Indian Society of Remote Sensing (01-03-2021)“…Two of the major applications in geospatial information system (GIS) and remote sensing fields are object detection and man-made feature extraction (e.g., road…”
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A genetic column generation algorithm for sustainable spare part delivery: application to the Sydney DropPoint network
Published in Annals of operations research (01-07-2020)“…Modern-day logistics companies require increasingly shorter lead-times in order to cater for the increasing popularity of on-demand services. There is…”
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Unboxing Deep Learning Model of Food Delivery Service Reviews Using Explainable Artificial Intelligence (XAI) Technique
Published in Foods (08-07-2022)“…The demand for food delivery services (FDSs) during the COVID-19 crisis has been fuelled by consumers who prefer to order meals online and have it delivered to…”
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Extraction of road features from UAV images using a novel level set segmentation approach
Published in International Journal of Urban Sciences (03-07-2019)“…A novel hybrid technique for road extraction from UAV imagery is presented in this paper. The suggested analysis begins with image segmentation via Trainable…”
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A New Fuzzy Stochastic Integrated Model for Evaluation and Selection of Suppliers
Published in Axioms (01-11-2023)“…In light of the rapid rate of change and unforeseen occurrences seen in the realms of technology, market dynamics, and the wider business landscape, there is a…”
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Modeling of CO Emissions from Traffic Vehicles Using Artificial Neural Networks
Published in Applied sciences (16-01-2019)“…Traffic emissions are considered one of the leading causes of environmental impact in megacities and their dangerous effects on human health. This paper…”
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An Optimization Tool for Production Planning: A Case Study in a Textile Industry
Published in Applied sciences (01-09-2021)“…The textile industry is an important sector of the Brazilian economy, being considered the fifth largest textile industry in the world. To support further…”
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15
Applying a novel combination of techniques to develop a predictive model for diabetes complications
Published in PloS one (22-04-2015)“…Among the many related issues of diabetes management, its complications constitute the main part of the heavy burden of this disease. The aim of this paper is…”
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Social media data analytics to improve supply chain management in food industries
Published in Transportation research. Part E, Logistics and transportation review (01-06-2018)“…•Consumer centric beef supply chain has been developed using social media data.•Main issues related to beef are colour, food safety, smell, flavour & presence…”
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Extending the supply chain to address sustainability
Published in Journal of cleaner production (20-08-2019)“…In today's growing economy, overconsumption and overproduction have accelerated environmental deterioration worldwide. Consumers, through unsustainable…”
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A fuzzy rough sets-based multi-agent analytics framework for dynamic supply chain configuration
Published in International journal of production research (01-12-2016)“…Considering the need for more effective decision support in the context of distributed manufacturing, this paper develops an advanced analytics framework for…”
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Next generation smart manufacturing and service systems using big data analytics
Published in Computers & industrial engineering (01-02-2019)“…This special issue explores advancements in the next generation manufacturing and service systems by examining the novel methods, practical challenges and…”
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Shifts in consumer behavior towards organic products: Theory-driven data analytics
Published in Journal of retailing and consumer services (01-07-2021)“…Consumer behavior is key in shifts towards organic products. A diversity of factors influences consumer preferences, driving planned, impulsive, and unplanned…”
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