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Two party key exchange protocol based on duo circulant matrices for the IoT environment
This paper proposes a new two-party key exchange protocol based on the max-plus semiring, which is the set of matrices over the set of integers along...
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Identification of Tropical Dry Forest Transformation from Soundscapes Using Supervised Learning
Biodiversity loss in tropical ecosystems is advancing due to factors such as human pressure and climate change, and determining their ecological...
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Refining the Use of Ecosystem Services to Increase Sustainability and Resilience in Tropical Agriculture
The humid tropics are highly suitable scenarios for exploiting ecosystem services for the sustainable management of agricultural lands. Accordingly,...
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Trs-net tropical revolving storm disasters analysis and classification based on multispectral images using 2-d deep convolutional neural network
Damage assessment is one of the most important factors in estimating loss after hurricane. The assessment's findings are very important to identify...
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Tropical Cyclones and Coastal Vulnerability: Assessment and Mitigation
Tropical cyclone (TC) landfalls are among the most damaging natural disasters. The North Indian Ocean (NIO) experiences ~12% of all cyclones every...
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Decadal forest cover change analysis of the tropical forest of Tadoba-Andhari, India
Deforestation is a major concern for preserving the biodiversity of the entire globe. During the last few years, machine learning and deep learning...
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Investigation on air conditioning load patterns and electricity consumption of typical residential buildings in tropical wet and dry climate in India
The residential sector accounts for around 24% of the total electricity consumption in India. Recent studies show that air conditioners (ACs) have...
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Toeplitz matrices based key exchange protocol for the internet of things
Finding the best algebraic structure to use as a platform for cryptography has been a challenge over the last 2 decades. Many researchers believed...
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Benchmarking Tropical Cyclone Rapid Intensification with Satellite Images and Attention-Based Deep Models
Rapid intensification (RI) of tropical cyclones often causes major destruction to human civilization due to short response time. It is an important...
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Tropical Geometry of Biological Systems (Invited Talk)
Tropical geometry ideas were developed by mathematicians that got inspired from very different topics in physics, discrete mathematics, optimization,...
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A comprehensive review on landmine detection using deep learning techniques in 5G environment: open issues and challenges
Detection of Landmines, especially anti-tank mines, bombs, and unexploded substances, is one of the major challenges facing humanity. The devastation...
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Blockchain-assisted secure image transmission and diagnosis model on Internet of Medical Things Environment
In recent days, the Internet of Medical Things (IoMT) is commonly employed in different aspects of healthcare applications. Owing to the increasing...
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Clouds Formed by Thermals Arising and Evolving Under the Influence of the Coriolis Force
In the presented study, a ‘mushroom-like’ cloud structure in the atmosphere of the Northern Hemisphere has been studied. Examples of such a structure...
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Artificial neural network models for prediction of net radiation over a tropical region
In this study, net radiation and temperature data were collected from the Nigeria Meteorological Agency, Lagos, covering a period of 1983–2013. The...
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MangoFruitDDS: A Standard Mango Fruit Diseases Dataset Made in Africa
Mango is a lucrative fruit produced in tropical and sub-tropical areas. It is the third most traded tropical fruit after pineapple and avocado in the...
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An Informatics-Based Approach for Sustainable Management of Factors Affecting the Spread of Infectious Diseases
Several of the United Nations’ Sustainable Development Goals (SDGs) are directly or indirectly concerned with improving health and well-being of the...
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Residential electricity current and appliance dataset for AC-event detection from Indian dwellings
Air Conditioners (ACs) have become a major contributor to residential electricity consumption in India. Non-intrusive Load Monitoring (NILM) can be...
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Detection of estuarine benthic macroinvertebrates communities using artificial neural network
Aquatic ecosystems depend heavily on benthic macroinvertebrates for their essential functions. They have become an indispensable part of pure water...
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Generative AI to Understand Complex Ecological Interactions
The recent use of Generative AI (GenAI) techniques in Ecology has provided insights into predicting species co-occurrence patterns, specifically in...
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Evaluation of machine learning models for map** soil salinity in Ben Tre province, Vietnam
In most tropical climates, one of the most serious natural dangers that negatively impacts agricultural operations in coastal regions is increasing...
