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Rashmi Yadav, Susama Sudhishri, Manoj Khanna, Khajanchi Lal, Anchal Dass, Hari Lal Kushwaha, Kalikinkar Bandyopadhyay, Archna Suman, Anupama Singh, Rajiv Kumar Singh and Raj Singh
To achieve higher crop yields and maintain environmental conservation, it is imperative to adopt novel agricultural methods that improve both the quantity and quality of produce. The following study focused on investigating the effectiveness of integrate...
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Chaitanya Prasad Nath, Ravi Gopal Singh, Vijay K. Choudhary, Debarati Datta, Rajiv Nandan and Sati Shankar Singh
Weeds are the most severe and widespread biological constraint on agricultural production systems and cause damage to cropped and non-cropped lands. They reduce crop yield and degrade the quality of the produce, besides raising the cost of production. Th...
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Rajiv Paudel and Arika Ligmann-Zielinska
Agent-based model (ABM) development needs information on system components and interactions. Qualitative narratives contain contextually rich system information beneficial for ABM conceptualization. Traditional qualitative data extraction is manual, comp...
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Rajiv Periakaruppan, Valentin Romanovski, Selva Kumar Thirumalaisamy, Vanathi Palanimuthu, Manju Praveena Sampath, Abhirami Anilkumar, Dinesh Kumar Sivaraj, Nihaal Ahamed Nasheer Ahamed, Shalini Murugesan, Divya Chandrasekar and Karungan Selvaraj Vijai Selvaraj
Nanotechnology has an extensive series of applications in agronomy and has an important role in the future of sustainable agriculture. The agricultural industries should be supported by innovative active materials such as nanofertilizers, nanofungicides,...
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Manudeo Singh and Rajiv Sinha
Floodplain wetlands are critical for sustaining various ecological and hydrological functions in a riverine environment. Severe anthropogenic alterations and human occupation of floodplains have threatened these wetlands in several parts of the world. A ...
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Teodoro Semeraro, Aurelia Scarano and Rajiv Pandey
The new frontiers of sustainable cities should focus on urban planning tools and strategies that are able to integrate ecosystem services in urban development. An important step could include the design of nature-based solutions (NbSs) for introducing im...
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Nalinda Kulathunga, Nishath Rajiv Ranasinghe, Daniel Vrinceanu, Zackary Kinsman, Lei Huang and Yunjiao Wang
The nonlinearity of activation functions used in deep learning models is crucial for the success of predictive models. Several simple nonlinear functions, including Rectified Linear Unit (ReLU) and Leaky-ReLU (L-ReLU) are commonly used in neural networks...
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Rajiv Punmiya and Sangho Choe
Smart Grid (SG); Smart City; Demand Side Management (DSM); Building Energy Management System; Home Energy Management System.
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Anirban Jyoti Hati and Rajiv Ranjan Singh
This paper analyses the contribution of residual network (ResNet) based convolutional neural network (CNN) architecture employed in two tasks related to plant phenotyping. Among the contemporary works for species recognition (SR) and infection detection ...
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Jedsada Phengsuwan, Tejal Shah, Nipun Balan Thekkummal, Zhenyu Wen, Rui Sun, Divya Pullarkatt, Hemalatha Thirugnanam, Maneesha Vinodini Ramesh, Graham Morgan, Philip James and Rajiv Ranjan
Social media has played a significant role in disaster management, as it enables the general public to contribute to the monitoring of disasters by reporting incidents related to disaster events. However, the vast volume and wide variety of generated soc...
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