☆ 4.7 Article

Progress and prospects of future urban health status prediction

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2024)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Review Green & Sustainable Science & Technology

Exploring the influencing factors of urban residential electricity consumption in China

Peng Hao et al.

Summary: China has experienced a migration of 556 million people to urban areas in the past three decades, resulting in significant pressure on electricity consumption and urban sustainable development. This paper introduces the generalized Divisia Index Decomposition Method (GDIM) model to analyze the electricity consumption mechanism of urban residents in China from 2000 to 2018. The findings reveal that residential income, per capita electricity consumption, and residential appliances are the main drivers of urban residential electricity consumption growth, while energy-saving willingness and expenditure structure have an inhibiting effect. As urban residential income continues to expand, the growth of income and air conditioning usage will further drive urban residential electricity consumption. The paper concludes with suggestions to alleviate the pressure on electricity demand and promote sustainable development among urban residents in China.

ENERGY FOR SUSTAINABLE DEVELOPMENT (2023)

添加到收藏夹

Article Engineering, Electrical & Electronic

A Novel Perspective on Travel Demand Prediction Considering Natural Environmental and Socioeconomic Factors

Zhihao Xu et al.

IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE (2023)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A new approach to COVID-19 data mining: A deep spatial-temporal prediction model based on tree structure for traffic revitalization index

Zhiqiang Lv et al.

Summary: The outbreak of COVID-19 has had a global impact, prompting the Chinese government to enact transportation restrictions to slow the spread of the virus. As the pandemic is gradually controlled, the Chinese transportation industry is recovering. The traffic revitalization index is used to evaluate the recovery of urban transportation and aid in policy-making. This study proposes a deep spatial-temporal prediction model for the traffic revitalization index, incorporating spatial and temporal convolution modules as well as matrix data fusion for improved prediction accuracy. Experimental results demonstrate an average improvement of 21%, 18%, and 23% in MAE, RMSE, and MAPE indicators, respectively.

DATA & KNOWLEDGE ENGINEERING (2023)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Fast autoregressive tensor decomposition for online real-time traffic flow prediction

Zhihao Xu et al.

Summary: This study proposes a Fast Autoregressive Tensor Decomposition (FATD) algorithm for online real-time traffic flow prediction. The algorithm models and predicts historical traffic flow using Tucker decomposition and Tensor Seasonal Autoregressive Integrated Moving Average (Tensor SARIMA), and recovers the predicted traffic flow data using Inverse Tucker Decomposition, achieving reduced computational costs while maintaining high prediction accuracy.

KNOWLEDGE-BASED SYSTEMS (2023)

添加到收藏夹

Article Engineering, Civil

TreeCN: Time Series Prediction With the Tree Convolutional Network for Traffic Prediction

Zhiqiang Lv et al.

Summary: The complexity and spatial-temporal correlations in traffic scenarios pose challenges for traffic prediction research. Existing methods lack consideration of directional and hierarchical features among traffic nodes. This study proposes Tree Convolutional Network (TreeCN), a tree-based structure, to capture these features. Experimental results show that TreeCN performs well in both random uniform distribution scenarios and more complex small-scale aggregation scenarios, making it a promising method for handling complex traffic scenarios and improving prediction accuracy.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2023)

添加到收藏夹

Article Engineering, Environmental

Compound urban crises

Linda Westman et al.

Summary: This paper addresses compound urban crises and highlights the need for interdisciplinary insights to inform urban governance responses. By combining ideas from complex adaptive systems and critical urban studies, the authors develop boundary concepts to understand the complexities of these crises. These concepts provide a theoretical anchor to develop practical insights and reform urban governance.

AMBIO (2022)

添加到收藏夹

Article Engineering, Civil

Sustainability of water facilities under community based management in Zimbabwe

Tendai Kativhu et al.

Summary: The study investigated the sustainability of rural water supply facilities under the CBM approach, finding that technical, financial, and institutional factors all play a role in influencing sustainability. Training user communities on CBM and technical skills is key to improving sustainability.

AQUA-WATER INFRASTRUCTURE ECOSYSTEMS AND SOCIETY (2022)

添加到收藏夹

Article Green & Sustainable Science & Technology

Beating the urban heat: Situation, background, impacts and the way forward in China

Bao-Jie He et al.

Summary: This paper reviews the urban heat challenges in China, with a focus on heatwaves and urban heat island effect. The study finds that heatwaves have become more frequent, lasting and intense, with a significant increase since the 1990s. The co-occurrence of heatwaves and drought is becoming more frequent, leading to more intense heatwaves. Urban heat island effect is a common issue for almost all Chinese cities, with aggravating trends annually.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2022)

添加到收藏夹

Article Computer Science, Information Systems

Attention-Based and Time Series Models for Short-Term Forecasting of COVID-19 Spread

Jurgita Markeviciute et al.

Summary: The growing number of COVID-19 cases worldwide has put pressure on healthcare services and public institutions. Forecasting methods and modeling techniques are important tools for governments to manage pandemics and their impact on public health. This study aims to provide short-term forecasts of disease epidemiology for policymakers and public institutions. The effectiveness of an attention-based method was evaluated using data from Lithuania, which could be applied to any country and pandemic situation.

CMC-COMPUTERS MATERIALS & CONTINUA (2022)

添加到收藏夹

Article Green & Sustainable Science & Technology

Significant impacts of COVID-19 lockdown on urban air pollution in Kolkata (India) and amelioration of environmental health

Biswajit Bera et al.

Summary: The global COVID-19 pandemic has disrupted the normal pace of global socio-economic and cultural life. This study analyzed the air quality during and before the lockdown period, finding significant reductions in pollutants like CO, NO(2), and SO(2) during the lockdown, while O(3) slightly increased. There was an average reduction of 17.5% in PM(10) and PM(2.5) during the lockdown compared to previous years.

ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY (2021)

添加到收藏夹

Article Construction & Building Technology

Modeling air quality prediction using a deep learning approach: Method optimization and evaluation

Wenjing Mao et al.

Summary: A deep learning framework was proposed for air quality prediction within 24 hours, achieving excellent performance in long-term predictions and high-accuracy predictions, applicable to other air pollutants.

SUSTAINABLE CITIES AND SOCIETY (2021)

添加到收藏夹

Review Environmental Sciences

Endocrine-disruptive chemicals as contaminants of emerging concern in wastewater and surface water: A review

Teddy Kabeya Kasonga et al.

Summary: Population growth and industrial development have led to serious environmental pollution, with EDCs posing harmful effects on human, environmental, and wildlife health. Here, diseases caused by disrupting hormones and potential harm are highlighted. The use of fungal bioreactors as a low-cost, eco-effective wastewater treatment method is emphasized in the research.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2021)

添加到收藏夹

Review Biodiversity Conservation

A review of water quality index models and their use for assessing surface water quality

Md. Galal Uddin et al.

Summary: The water quality index (WQI) model is a popular tool for evaluating surface water quality, converting extensive data into a single index. While commonly used, the model faces issues such as specificity to regional guidelines and uncertainty in data conversion. This paper compares commonly used WQI models and discusses issues affecting model accuracy.

ECOLOGICAL INDICATORS (2021)

添加到收藏夹

Article Green & Sustainable Science & Technology

Forecasting municipal solid waste quantity using arti fi cial neural network and supported vector machine techniques: A case study of Johannesburg, South Africa

O. O. Ayeleru et al.

Summary: The study utilized machine learning to forecast the generation of municipal solid waste (MSW) in Johannesburg, demonstrating the effectiveness of algorithms such as artificial neural networks and supported vector machines in modeling MSW quantities.

JOURNAL OF CLEANER PRODUCTION (2021)

添加到收藏夹

Article Green & Sustainable Science & Technology

Detection of long-term effect in forecasting municipal solid waste using a long short-term memory neural network

Dongjie Niu et al.

Summary: Researchers successfully applied artificial neural networks (ANNs) in municipal solid waste (MSW) time-series analysis and forecasting. Despite the high accuracy ANNs achieved, limitations include consistent input data formats and high correlation between input and output. This study adopted deep learning approach LSTM to enhance accuracy and reliability in MSW forecasting, proving superiority over traditional methods and better capturing temporal variations in MSW generation.

JOURNAL OF CLEANER PRODUCTION (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A particle swarm optimization algorithm for mixed-variable optimization problems

Feng Wang et al.

Summary: This paper introduces a new PSO algorithm, PSOmv, which can handle both continuous and discrete decision variables simultaneously, using a mixed-variable encoding scheme to efficiently deal with mixed variables, as well as employing an adaptive parameter tuning strategy and constraints handling method to enhance efficiency.

SWARM AND EVOLUTIONARY COMPUTATION (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Convolutional neural networks and temporal CNNs for COVID-19 forecasting in France

Lucas Mohimont et al.

Summary: The research team developed multiple CNN-based COVID-19 forecast models during the first French lockdown, successfully predicting various epidemic indicators at the national level and providing a powerful tool for short-term COVID-19 forecasting.

APPLIED INTELLIGENCE (2021)

添加到收藏夹

Article Environmental Sciences

A Long-Term Water Quality Prediction Method Based on the Temporal Convolutional Network in Smart Mariculture

Yuexin Fu et al.

Summary: A new water quality prediction method based on TCN is proposed to address the issues of traditional methods in open water environments, showing higher accuracy and lower time complexity. The TCN model can effectively predict water quality parameters with a prediction accuracy of up to 91.91% and reduce training and prediction time costs by an average of 64.92% and 7.24% respectively.

WATER (2021)

添加到收藏夹

Article Public, Environmental & Occupational Health

A Novel Matrix Profile-Guided Attention LSTM Model for Forecasting COVID-19 Cases in USA

Qian Liu et al.

Summary: The study utilized data mining and machine learning methods to forecast COVID-19 cases in the United States, and the proposed model performed well in prediction, potentially aiding policymakers and healthcare managers.

FRONTIERS IN PUBLIC HEALTH (2021)

添加到收藏夹

Article Computer Science, Information Systems

Employing Deep Learning and Time Series Analysis to Tackle the Accuracy and Robustness of the Forecasting Problem

Haseeb Tariq et al.

Summary: This study utilizes time series to predict crime rates in order to find practical crime prevention solutions. Machine learning plays a crucial role in understanding and analyzing future trends in violations. Different time-series forecasting models are used to predict crimes.

SECURITY AND COMMUNICATION NETWORKS (2021)

添加到收藏夹

Article Environmental Sciences

Water Quality Prediction in the Luan River Based on 1-DRCNN and BiGRU Hybrid Neural Network Model

Jianzhuo Yan et al.

Summary: The study proposed a new comprehensive deep learning water quality prediction algorithm, which achieved effective prediction of water quality parameters through data processing and model integration. Experimental results on actual water quality data demonstrated that the method has higher prediction accuracy and generalization ability, outperforming existing LSTM, GRU, and BiGRU models.

WATER (2021)

添加到收藏夹

Article Computer Science, Hardware & Architecture

A graph spatial-temporal model for predicting population density of key areas

Zhihao Xu et al.

Summary: Predicting the population density of key areas in a city is crucial for reducing the spread risk of Covid-19 and predicting travel needs. The proposed WE-STGCN model significantly improves the accuracy of population density prediction, outperforming typical models by 53.97% on average.

COMPUTERS & ELECTRICAL ENGINEERING (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Deep learning in the COVID-19 epidemic: A deep model for urban traffic revitalization index

Zhiqiang Lv et al.

Summary: The paper proposes a deep model DeepTRI for predicting urban Traffic Revitalization Index, taking advantage of spatial correlation features and combining different proportions of data to increase spatial correlation. Compared to traditional models, DeepTRI shows advantages in long-term prediction ability and solving under-fitting problems.

DATA & KNOWLEDGE ENGINEERING (2021)

添加到收藏夹

Review Energy & Fuels

State-of-the-Art Review of Positive Energy Building and Community Systems

Gokula Manikandan Senthil Kumar et al.

Summary: This study focuses on positive energy buildings and communities, emphasizing the importance of increasing the proportion of renewable energy by more efficiently utilizing it, reducing carbon emissions, and improving overall performance. While energy-efficient buildings seem to be on the rise, considerable differences exist among them, and the same applies at the community level.

ENERGIES (2021)

添加到收藏夹

Article Physics, Multidisciplinary

Regional Population Forecast and Analysis Based on Machine Learning Strategy

Chian-Yue Wang et al.

Summary: The author proposes a machine learning-based method to forecast multi-regional population growth in order to address the potential subjective biases in traditional population forecasting methods. This study utilizes the XGBoost algorithm and provides an objective evaluation of future population growth and feature importance, further offering an objective reference for urban planning.

ENTROPY (2021)

添加到收藏夹

Review Environmental Sciences

A review of strategies for mitigating roadside air pollution in urban street canyons*

Yuhan Huang et al.

Summary: This paper reviews the mechanisms controlling vehicle emission dispersion in urban street canyons and the strategies for managing roadside air pollution. Key factors influencing air pollution in street canyons include traffic conditions, canyon geometry, weather conditions, and chemical reactions. Mitigation strategies include traffic interventions and city planning, with the latter having a more significant impact on pollutant dispersion.

ENVIRONMENTAL POLLUTION (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Deep Air Quality Forecasting Using Hybrid Deep Learning Framework

Shengdong Du et al.

Summary: This article proposes a novel deep learning model for air quality (mainly PM2.5) forecasting, which improves prediction accuracy by learning spatial-temporal correlation features and interdependence of multivariate air quality related time series data.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2021)

添加到收藏夹

Article Multidisciplinary Sciences

Future global urban water scarcity and potential solutions

Chunyang He et al.

Summary: Urbanization and climate change are exacerbating global urban water scarcity, with the number of people affected projected to increase significantly by 2050, particularly in countries like India. Large cities and megacities will be most severely affected, and while infrastructure investment can help alleviate water scarcity, potential environmental trade-offs must be carefully considered.

NATURE COMMUNICATIONS (2021)

添加到收藏夹

Article Computer Science, Information Systems

Air Quality Prediction Based on Integrated Dual LSTM Model

Hongqian Chen et al.

Summary: In this paper, an air quality prediction method based on an integrated dual LSTM model was proposed. Firstly, a single-factor prediction model was established using Seq2Seq technology, followed by a multi-factor prediction model using LSTM with attention mechanism. The two models were integrated using XGBoosting tree, resulting in improved prediction accuracy compared to various other models.

IEEE ACCESS (2021)

添加到收藏夹

Article Computer Science, Information Systems

AST-MTL: An Attention-Based Multi-Task Learning Strategy for Traffic Forecasting

Giovanni Buroni et al.

Summary: This paper proposes a novel multi-task learning model, called AST-MTL, for multi-horizon predictions of traffic flow and speed at the road network scale. The model combines a multilayer fully-connected neural network and a multi-head attention mechanism to learn related tasks while improving generalization performance. Experimental results show that the model can effectively perform multi-horizon traffic forecasting for different types of roads.

IEEE ACCESS (2021)

添加到收藏夹

Article Computer Science, Information Systems

Empirical Analysis for Crime Prediction and Forecasting Using Machine Learning and Deep Learning Techniques

Wajiha Safat et al.

Summary: The study made significant progress in crime prediction and future trends by applying different machine learning algorithms and time series analysis. The crime rate is expected to moderately increase in Chicago and decrease in Los Angeles. Through these methods, early identification of crime, detection of high-crime-rate hot spots, and guidance for police practice and strategies can be achieved.

IEEE ACCESS (2021)

添加到收藏夹

Article Economics

Population density and urban air quality

Rainald Borck et al.

Summary: This study utilizes panel data from Germany to investigate the impact of population density on urban air pollution. The findings indicate that higher population density leads to worsened air quality, with increases in NO2 and particulate matter concentration, decreases in O-3 concentration, and an increase in AQI.

REGIONAL SCIENCE AND URBAN ECONOMICS (2021)

添加到收藏夹

Article Environmental Sciences

Impact of population density on Covid-19 infected and mortality rate in India

Arunava Bhadra et al.

Summary: Research indicates that the spread of Covid-19 is not solely linked to population density, and there is a moderate association between Covid-19 spread and population density in India.

MODELING EARTH SYSTEMS AND ENVIRONMENT (2021)

添加到收藏夹

Article Computer Science, Information Systems

STAT: Spatial-Temporal Attention Mechanism for Video Captioning

Chenggang Yan et al.

IEEE TRANSACTIONS ON MULTIMEDIA (2020)

添加到收藏夹

Article Environmental Sciences

Assessment of noise pollution and associated subjective health complaints and psychological symptoms: analysis through structure equation model

Shahla Nazneen et al.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2020)

添加到收藏夹

Article Engineering, Electrical & Electronic

Short-term prediction of traffic flow under incident conditions using graph convolutional recurrent neural network and traffic simulation

Shota Fukuda et al.

IET INTELLIGENT TRANSPORT SYSTEMS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Stochastic recurrent wavelet neural network with EEMD method on energy price prediction

Jingmiao Li et al.

SOFT COMPUTING (2020)

添加到收藏夹

Review Environmental Sciences

Indoor Air Pollution, Related Human Diseases, and Recent Trends in the Control and Improvement of Indoor Air Quality

Vinh Van Tran et al.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A CNN-LSTM model for gold price time-series forecasting

Ioannis E. Livieris et al.

NEURAL COMPUTING & APPLICATIONS (2020)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

A robust method for safety evaluation of steel trusses using Gradient Tree Boosting algorithm

Viet-Hung Truong et al.

ADVANCES IN ENGINEERING SOFTWARE (2020)

添加到收藏夹

Article Transportation Science & Technology

Graph Markov network for traffic forecasting with missing data

Zhiyong Cui et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)

添加到收藏夹

Article Environmental Sciences

A Method for the Estimation of Finely-Grained Temporal Spatial Human Population Density Distributions Based on Cell Phone Call Detail Records

Guangyuan Zhang et al.

REMOTE SENSING (2020)

添加到收藏夹

Article Oncology

From multisource data to clinical decision aids in radiation oncology: The need for a clinical data science community

Joanna Kazmierska et al.

RADIOTHERAPY AND ONCOLOGY (2020)

添加到收藏夹

Article Engineering, Environmental

Multi-site household waste generation forecasting using a deep learning approach

Maximiliano Cubillos

WASTE MANAGEMENT (2020)

添加到收藏夹

Article Biochemistry & Molecular Biology

Effects of air pollution particles (ultrafine and fine particulate matter) on mitochondrial function and oxidative stress - Implications for cardiovascular and neurodegenerative diseases

Andreas Daiber et al.

ARCHIVES OF BIOCHEMISTRY AND BIOPHYSICS (2020)

添加到收藏夹

Article Energy & Fuels

End-to-end probabilistic forecasting of electricity price via convolutional neural network and label distribution learning

Hui He et al.

ENERGY REPORTS (2020)

添加到收藏夹

Article Computer Science, Information Systems

Risk Prediction of Theft Crimes in Urban Communities: An Integrated Model of LSTM and ST-GCN

Xinge Han et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Mathematics, Interdisciplinary Applications

Time series forecasting of Covid-19 using deep learning models: India-USA comparative case study

Sourabh Shastri et al.

CHAOS SOLITONS & FRACTALS (2020)

添加到收藏夹

Article Computer Science, Information Systems

The Prediction of Finely-Grained Spatiotemporal Relative Human Population Density Distributions in China

Zhi Zheng et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Computer Science, Information Systems

Bus Arrival Time Prediction Based on LSTM and Spatial-Temporal Feature Vector

Hongjie Liu et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Multidisciplinary Sciences

Application of the ARIMA model on the COVID-2019 epidemic dataset

Domenico Benvenuto et al.

DATA IN BRIEF (2020)

添加到收藏夹

Article Engineering, Electrical & Electronic

Deep learning for day-ahead electricity price forecasting

Chi Zhang et al.

IET SMART GRID (2020)

添加到收藏夹

Article Computer Science, Information Systems

Medical Health Big Data Classification Based on KNN Classification Algorithm

Wenchao Xing et al.

IEEE ACCESS (2020)

添加到收藏夹

Review Computer Science, Artificial Intelligence

Problem formulations and solvers in linear SVM: a review

Vinod Kumar Chauhan et al.

ARTIFICIAL INTELLIGENCE REVIEW (2019)

添加到收藏夹

Article Computer Science, Information Systems

Estimation of Static and Dynamic Urban Populations with Mobile Network Metadata

Ghazaleh Khodabandelou et al.

IEEE TRANSACTIONS ON MOBILE COMPUTING (2019)

添加到收藏夹

Article Chemistry, Analytical

A Water Quality Prediction Method Based on the Deep LSTM Network Considering Correlation in Smart Mariculture

Zhuhua Hu et al.

SENSORS (2019)

添加到收藏夹

Article Green & Sustainable Science & Technology

Deep Long Short-Term Memory: A New Price and Load Forecasting Scheme for Big Data in Smart Cities

Sana Mujeeb et al.

SUSTAINABILITY (2019)

添加到收藏夹

Review Transportation

Feature selection and extraction in spatiotemporal traffic forecasting: a systematic literature review

Dmitry Pavlyuk

EUROPEAN TRANSPORT RESEARCH REVIEW (2019)

添加到收藏夹

Review Computer Science, Interdisciplinary Applications

Survey on fuzzy TOPSIS state-of-the-art between 2007 and 2017

Mahmood M. Salih et al.

COMPUTERS & OPERATIONS RESEARCH (2019)

添加到收藏夹

Article Environmental Sciences

The impact of ambient particulate matter on hospital outpatient visits for respiratory and circulatory system disease in an urban Chinese population

Ce Wang et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2019)

添加到收藏夹

Review Chemistry, Multidisciplinary

Wavelet Transform Application for/in Non-Stationary Time-Series Analysis: A Review

Manel Rhif et al.

APPLIED SCIENCES-BASEL (2019)

添加到收藏夹

Article Thermodynamics

Electricity price prediction based on hybrid model of adam optimized LSTM neural network and wavelet transform

Zihan Chang et al.

ENERGY (2019)

添加到收藏夹

Article Computer Science, Information Systems

Spatio-temporal crime predictions in smart cities: A data-driven approach and experiments

Charlie Catlett et al.

PERVASIVE AND MOBILE COMPUTING (2019)

添加到收藏夹

Review Materials Science, Multidisciplinary

Electronic Noses: From Advanced Materials to Sensors Aided with Data Processing

Wenwen Hu et al.

ADVANCED MATERIALS TECHNOLOGIES (2019)

添加到收藏夹

Article Environmental Sciences

Urban form and population density: Influences on Urban Heat Island intensities in Bogota, Colombia

Edwin Alejandro Ramirez-Aguilar et al.

URBAN CLIMATE (2019)

添加到收藏夹

Review Multidisciplinary Sciences

Water pollution in Bangladesh and its impact on public health

Md. Khalid Hasan et al.

HELIYON (2019)

添加到收藏夹

Article Economics

An effective and robust decomposition-ensemble energy price forecasting paradigm with local linear prediction

Quande Qin et al.

ENERGY ECONOMICS (2019)

添加到收藏夹

Article Green & Sustainable Science & Technology

Using a fuzzy TOPSIS-based scenario analysis to improve municipal solid waste planning and forecasting: A case study of Canary archipelago (1999-2030)

Charles Estay-Ossandon et al.

JOURNAL OF CLEANER PRODUCTION (2018)

添加到收藏夹

Article Environmental Sciences

Municipal solid waste generation in China: influencing factor analysis and multi-model forecasting

Leaksmy Chhay et al.

JOURNAL OF MATERIAL CYCLES AND WASTE MANAGEMENT (2018)

添加到收藏夹

Review Computer Science, Hardware & Architecture

Sensing, communication and security planes: A new challenge for a smart city system design

Hadi Habibzadeh et al.

COMPUTER NETWORKS (2018)

添加到收藏夹

Article Thermodynamics

Modeling and forecasting hourly electricity demand by SARIMAX with interactions

Niematallah Elamin et al.

ENERGY (2018)

添加到收藏夹

Review Public, Environmental & Occupational Health

Case study in major quotation errors: a critical commentary on the Newcastle-Ottawa scale

Andreas Stang et al.

EUROPEAN JOURNAL OF EPIDEMIOLOGY (2018)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.