| Global NEST Journal

Improving Ozone Layer Depletion Forecasting with Hybrid Bi-Directional LSTM with CNN Classifier Model

by Ali JAVED

Air pollution and health

Due to the methane emission from the mining of coal and industrial byproducts including CFCs, depletion of the ozone layer causes raised global warming and worsens climate change. One chlorine atom can lead to the destruction of 1,00,000 ozone molecules causing depletion at a much faster rate than...

Hybrid Bi-Directional LSTM CNN Classifier +3 more

A Hybrid CNN-LSTM Predictive Model Deployed Federated Learning Model for Advanced Flood Prediction Systems to Forecast Coastal Region of Smart Cities

by Venkatesan Α Thiruvenkadam Krishnan

Climate change

Flooding in coastal regions of smart cities poses significant challenges, including infrastructure damage, economic losses, and threats to public safety. Traditional flood prediction models often suffer from data privacy concerns, limited spatial-temporal generalisation, and computational...

Water Quality Prediction using Statistical, Ensemble and Hybrid models

by

D.Venkata vara prasad et al. View all

Issue 2

Air pollution and health

Water is an essential elixir for several living organisms to function and survive. But it gets contaminated through several sources such as industrial wastes, oil spills, marine dumping, etc. With a growing population, availability of good quality water is of grave importance. This has become the...

Bagging Boosting +3 more

Prediction of Ozone Depletion Levels using Intelligent CNN-SVM Classification System

by

Arun V et al. View all

Issue 2

Environmental data analysis and modelling

The concentration of ozone in the earth atmosphere has been steadily falling by 4% in the total amount since late 1970. With the widespread usage of modern industry chlorofluorocarbons, the rate at which ozone content decreases is escalating, resulting in an ozone hole. The depletion permits harmful...

Trace Metals Pollution in Ambient Air of Urban and Rural Coastal Environments

by

Haryono Setiyo Huboyo et al. View all

Issue 1

Environmental data analysis and modelling

Air pollution in coastal areas will have a different pattern from mountainous areas due to different wind patterns during the day and night. The city of Semarang, as a representation of urban areas, and Jepara Regency, as a representation of the rural regions, were chosen for this sampling. 24-h...

air pollution coastal +3 more

An IoT-aware Air Quality Prediction System utilising Hybrid Optimization and Fuzzy Temporal Rules Enabled Auto Encoded Bi-LSTM

by

Ayshwarya Lakshmi S et al. View all

Issue 9

Air pollution and health

Recently, the environmental pollution is becoming a challenging issue due to the lacking of awareness about the importance of the environment and the growth of transportation facility and the various factories. The Internet of Things (IoT) technology is useful today for collecting and updating the...

air quality Pollution +4 more

A Novel Hybrid IOT Based Artificial Intelligence Algorithm for Toxicity Prediction In The Environment And Its Effect On Human Health

by

Vineet Tirth et al. View all

Issue 6

Air pollution and health

Toxicity poses a significant threat to the environment and human health. Heavy metals, such as cadmium, lead, copper, and zinc, have been shown to harm both agricultural ecosystems and human health. This paper aims to examine the effects of these heavy metals on the environment and human health, as...

Heavy metal pollution Toxic effect +12 more

Prediction of Land Use and Landcover Changes in Tiruppur Tamilnadu Using Hybrid Convolutional Neural Network

by

K.G. Akshaya et al. View all

Issue 6

Environmental data analysis and modelling

Land use and landcover change (LU/LC) are important in global change studies because they can transform the local and global environment by developing the biochemical, biochemical and biogeographic properties of the Earth's structure. This paper is intended to develop Hybrid Convolutional Neural...

hybrid convolutional neural network remora optimization algorithm +2 more

Internet of Things Enabled Smart Solid Waste Management System

by

J. Vijayalakshmi et al. View all

Issue 5

Solid Waste Management

The Internet of Things (IoT) paradigm roles a crucial play to enhance smart city applications by controlling and tracking city procedures in real-time. Among the most important problems connected to smart city application is solid waste management that is a negative impression on our people's health...

sustainability Waste management +4 more

Batch and column studies on removal of eriochrome black T dye by microalgae biochar

by

Radha Nagalingam et al. View all

Issue 1

Water and wastewater treatment and reuse

In this study, Chlorella vulgaris microalgae was cultivated from wastewater and converted into biochar through hydrothermal carbonization process. Acclimatization of microalgae resulted in a greater biomass yield of 4.1 g/L in 15 days in a Fog's medium to wastewater ratio of 20:80. Microalgae...

Adsorption Biochar +3 more

Improving Water Quality Assessment through Anomaly Detection Using Hybrid Convolutional Neural Network Approach

by

Jansi Rani S V et al. View all

Issue 1

Air pollution and health

Water being a precious commodity for every person around the world needs to be quality monitored continuously for ensuring safety whilst usage. The water data collected from sensors in water plants are used for water quality assessment. The anomaly present in the water data seriously affects the...

Anomaly Detection Convolutional Neural Network +3 more

Microbial Kinetic Analysis of a Hybrid UASB Reactor

by

Yalcin Askin Oktem et al. View all

Issue 3

Microbial kinetics of a hybrid upflow anaerobic sludge blanket (UASB) reactor were investigated when treating chemical synthesis–based pharmaceutical wastewater. Monod, Grau first-order, Grau second-order, Stover-Kincannon, Chen & Hashimoto kinetic models were applied to the hybrid reactor. The...

Hybrid UASB Microbial Kinetic +2 more

A Novel Model Predictive-Fuzzy Logic Hybrid Controller Design for D-STATCOM in Wind Energy Distribution Systems

by

Kenan YANMAZ et al. View all

Issue 1

Environmental Sciences

Wind energy is a resource that does not require any fuel or feedstock to be treated, refined or transported. It does not produce air pollution and hazardous waste. Because of these, wind energy, one of the major renewable energy sources, has been widely used in recent years. In this work, a three...

Wind turbine D-STATCOM +3 more

Adsorption of UV254 in Kerian River water onto ZeliacTM: Analysis using linear and non-linear forms of isotherm models

by

Hamidi Abdul Aziz et al. View all

Issue 1

Hydrology and Water Resources Management

The composite media, Zeliac TM was developed with the initial aim to provide low cost adsorbent with promising adsorption capacity. This study was conducted to investigate the removal of UV absorbance at 254 nm (UV 254) in Kerian river water using Zeliac TM as the media. Batch experiments study was...

Aromatic compounds Natural organic matter +3 more

A study on heterogeneous Fenton regeneration of powdered activated carbon impregnated with iron oxide nanoparticles

by

Konstantinos Plakas et al. View all

Issue 2

Water and wastewater treatment and reuse

This paper reports on the fabrication, characterization and testing of iron oxide nanoparticles – powdered activated carbon (PAC) composites for water treatment and PAC regeneration by Fenton reactions. Different wet impregnation procedures and iron loadings were assessed in terms of organic...

powdered activated carbon adsorption iron oxide +3 more

Reservoir operation using hybrid optimization algorithms

by

Ioannis Kougias et al. View all

Issue 1

Hydrology and Water Resources Management

In the present paper, the authors present a new hybrid optimization technique toward optimum reservoir planning and operation. The basis of the developed hybrid algorithms is the combination of harmony search (HS) and incremental dynamic programming (IDP). This resulted in the development of a new...

Reservoir Operation water resources management +3 more

Modeling the 3-d flow around a cylinder using the SAS hybrid model

by

Papadonikolaki G. et al. View all

Issue 5

General

Three-dimensional calculations were performed to simulate the flow around a cylindrical vegetation element using the Scale Adaptive Simulation (SAS) model; commonly, this is the first step of the modeling of the flow through multiple vegetation elements. SAS solves the Reynolds Averaged Navier...

Cylinder Vortex shedding +4 more

A Hybrid Stochastic-ANN Approach for Flow Partitioning in the Okavango Delta of Botswana

by

Piet K. Kenabatho et al. View all

Issue 1

Hydrology and Water Resources Management

Since a spectrum of hydrological and geomorphological conditions produce flood pulse environment in a riverine or a deltaic system, it is essential to have the knowledge on spatial and temporal distributions of river flow and dependent processes for environmental flow requirements, ecosystem...

Artificial Neural Network Autoregressive Integrated Moving Average +2 more

Local scale simulation of air temperature by a two-step hybrid downscaling approach using regional climate modeling and artificial neural networks

by

Philippopoulos K. et al. View all

Issue 2

General

The influence of microscale and mesoscale meteorology on the local scale variation of air temperature cannot be correctly simulated by the coarse resolution Global Climate Models. The scope of this work is to develop a hybrid dynamic-statistical downscaling procedure and quantify its predictive...

Hybrid solar - biomass plants for power generation; technical and economic assessment

by

Servert J.,San Miguel G. and Lopez D.

Issue 3

General

Environmental, economic and strategic reasons are behind the rapid impulse in the deployment of renewable energy sources that is taking place around the world. In addition to overcoming economic and commercial barriers, meeting the ambitious objectives set by most countries in this field will...

hybrid technologies Renewable Energy +4 more

3-D Oil spill modelling. Natural dispersion and the spreading of oil-water emulsions in the water column

by

Papadimitrakis I., Psaltaki M. and Markatos N.

Issue 4

General

A 3-D hybrid turbulence model, simulating the transport and fate of oil spills in various waters, is used to evaluate the influence of natural dispersion on the spreading of water-in-oil emulsions formed in the water column. The model combines the Navier-Stokes equations for two-phase flows, the RNG...

Oil spills oil dispersion +3 more