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A Deep Learning-Based Buffalo Optimizer based Squeeze and Excitation Network for Garbage Classification for a Sustainable Environment

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Subhashini R et al. View all

Issue 3

Solid Waste Management

A Squeeze and Excitation Network is a deep-learning architectural component designed to enhance networks. The "squeeze" step reduces the spatial dimensions of the input feature maps, and the "excitation" step adaptively recalibrates channel-wise feature responses. This allows the network to focus on...

Smart garbage management Deep learning +2 more
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Deep Learning and Machine Learning based Air Pollution Prediction Model for Smart Environment Design Planning

by

B. Karthikeyan et al. View all

Issue 5

Air pollution and health

For the past few decades, owing to human activities, urbanization, and industrialization, air pollution is becoming severe across several countries. Deep Learning (DL) and Machine Learning (ML) techniques had great contribution to the development of methods in various aspects of prediction, planning...

Air pollution monitoring smart environment +3 more
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Artificial Intelligence with Earthworm Optimization Assisted Waste Management System for Smart Cities

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J. Rajalakshmi et al. View all

Issue 4

Solid Waste Management

In recent days, massive quantity of waste materials gets considerable increased with increasing population. Proper management of waste materials becomes essential to reduce environmental degradation and improve quality of life in smart cities. Waste management helps to collect and treat waste...

Computer vision Smart city +6 more
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Deep Learning Driven Crop Classification and Chlorophyll Content Estimation for the Nexus Food higher Productions using Multi-spectral Remote Sensing Images

by

G.Chamundeeswari et al. View all

Issue 3

Hydrology and Water Resources Management

Due to the development of open access medium-high resolution remote sensing data like multispectral remote sensing images, crop classification becomes a hot research topic to be realized on large scale using machine learning (ML) models. At the same time, chlorophyll content is a critical index used...

Multispectral remote sensing images Agriculture +4 more
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Window Length Selection of Singular Spectrum Analysis and Application to Precipitation Time Series

by

Xuyong Li et al. View all

Issue 2

Hydrology and Water Resources Management

Window length is a very critical tuning parameter in Singular Spectrum Analysis (SSA) technique. For finding the optimal value of window length in SSA application, Periodogram analysis method with SSA for referencing on the selection of window length and confirm that the periodogram analysis can...

SSA singular spectrum analysis +4 more
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