Search Results - "Adamowski Jan"

Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model by Barzegar, Rahim, Aalami, Mohammad Taghi, Adamowski, Jan

“…Water quality monitoring is an important component of water resources management. In order to predict two water quality variables, namely dissolved oxygen (DO;…”
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An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines by Choubin, Bahram, Moradi, Ehsan, Golshan, Mohammad, Adamowski, Jan, Sajedi-Hosseini, Farzaneh, Mosavi, Amir

“…Floods, as a catastrophic phenomenon, have a profound impact on ecosystems and human life. Modeling flood susceptibility in watersheds and reducing the damages…”
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Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds by Adamowski, Jan, Sun, Karen

“…In this study, a method based on coupling discrete wavelet transforms (WA) and artificial neural networks (ANN) for flow forecasting applications in…”
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The role of climate change and vegetation greening on the variation of terrestrial evapotranspiration in northwest China's Qilian Mountains by Yang, Linshan, Feng, Qi, Adamowski, Jan F., Alizadeh, Mohammad Reza, Yin, Zhenliang, Wen, Xiaohu, Zhu, Meng

“…Terrestrial evapotranspiration (ETa) reflects the complex interactions of climate, vegetation, soil and terrain and is a critical component in water and energy…”
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Warming enabled upslope advance in western US forest fires by Alizadeh, Mohammad Reza, Abatzoglou, John T., Luce, Charles H., Adamowski, Jan F., Farid, Arvin, Sadegh, Mojtaba

“…Increases in burned area and large fire occurrence are widely documented over the western United States over the past half century. Here, we focus on the…”
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Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review by Nourani, Vahid, Hosseini Baghanam, Aida, Adamowski, Jan, Kisi, Ozgur

“…•The paper reviews applications of hybrid wavelet–AI models in hydro-climatology.•Efficiency of hybrid models regarding processes and model type were…”
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Urban water demand forecasting and uncertainty assessment using ensemble wavelet-bootstrap-neural network models by Tiwari, Mukesh K., Adamowski, Jan

“…A new hybrid wavelet‐bootstrap‐neural network (WBNN) model is proposed in this study for short term (1, 3, and 5 day; 1 and 2 week; and 1 and 2 month) urban…”
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A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods by Khosravi, Khabat, Shahabi, Himan, Pham, Binh Thai, Adamowski, Jan, Shirzadi, Ataollah, Pradhan, Biswajeet, Dou, Jie, Ly, Hai-Bang, Gróf, Gyula, Ho, Huu Loc, Hong, Haoyuan, Chapi, Kamran, Prakash, Indra

“…[Display omitted] •MCDM and machine learning models were compared for flood modelling.•Results show that machine learning is more potential for flood…”
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Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran by Barzegar, Rahim, Adamowski, Jan, Moghaddam, Asghar Asghari

“…The accuracy of Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS), wavelet-ANN and wavelet-ANFIS in predicting monthly water…”
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Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia by Al-Musaylh, Mohanad S., Deo, Ravinesh C., Adamowski, Jan F., Li, Yan

“…Accurate and reliable forecasting models for electricity demand (G) are critical in engineering applications. They assist renewable and conventional energy…”
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Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq by Yaseen, Zaher Mundher, Jaafar, Othman, Deo, Ravinesh C., Kisi, Ozgur, Adamowski, Jan, Quilty, John, El-Shafie, Ahmed

“…•Non-tuned data-driven approach is investigated for monthly stream-flow forecasting.•The model is examined for river flow located in semi-arid environment.•A…”
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Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting by AL-Musaylh, Mohanad S., Deo, Ravinesh C., Li, Yan, Adamowski, Jan F.

“…•Hybrid two-phase PSO-SVR is integrated with CEEMDAN multi-resolution tool for demand forecasting.•ICEEMDAN-PSO-SVR is evaluated against single-phase hybrid…”
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An integrated framework for improving green agricultural production sustainability in human-natural systems by Cui, Simeng, Adamowski, Jan F., Wu, Mengyang, Zhang, Pingping, Yue, Qiong, Cao, Xinchun

“…Water scarcity, land pollution, and global warming are serious challenges and crises facing the development of sustainable or green agriculture and need to be…”
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Universally deployable extreme learning machines integrated with remotely sensed MODIS satellite predictors over Australia to forecast global solar radiation: A new approach by Deo, Ravinesh C., Şahin, Mehmet, Adamowski, Jan F., Mi, Jianchun

“…Global advocacy to mitigate climate change impacts on pristine environments, wildlife, ecology, and health has led scientists to design technologies that…”
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Grassland Degradation on the Qinghai-Tibetan Plateau: Reevaluation of Causative Factors by Cao, Jianjun, Adamowski, Jan F., Deo, Ravinesh C., Xu, Xueyun, Gong, Yifan, Feng, Qi

“…In light of Harris (2010) finding insufficient evidence to assert a causal linkage between any of the seven previously proposed causative factors and grassland…”
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A Stochastic Data‐Driven Ensemble Forecasting Framework for Water Resources: A Case Study Using Ensemble Members Derived From a Database of Deterministic Wavelet‐Based Models by Quilty, John, Adamowski, Jan, Boucher, Marie‐Amélie

“…In water resources applications (e.g., streamflow, rainfall‐runoff, urban water demand [UWD], etc.), ensemble member selection and ensemble member weighting…”
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Land and Atmosphere Precursors to Fuel Loading, Wildfire Ignition and Post‐Fire Recovery by Alizadeh, Mohammad Reza, Adamowski, Jan, Entekhabi, Dara

“…Land surface‐atmosphere coupling and soil moisture memory are shown to combine into a distinct temporal pattern for wildfire incidents across the western…”
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A century of observations reveals increasing likelihood of continental-scale compound dry-hot extremes by Alizadeh, Mohammad Reza, Adamowski, Jan, Nikoo, Mohammad Reza, AghaKouchak, Amir, Dennison, Philip, Sadegh, Mojtaba

“…Compound dry-hot events enlarge homogenously due to teleconnected land-atmosphere feedbacks. Using over a century of ground-based observations over the…”
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Bootstrap rank‐ordered conditional mutual information (broCMI): A nonlinear input variable selection method for water resources modeling by Quilty, John, Adamowski, Jan, Khalil, Bahaa, Rathinasamy, Maheswaran

“…The input variable selection problem has recently garnered much interest in the time series modeling community, especially within water resources applications,…”
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Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties by Kouadio, Louis, Deo, Ravinesh C., Byrareddy, Vivekananda, Adamowski, Jan F., Mushtaq, Shahbaz, Phuong Nguyen, Van

“…•Predictive features in soil fertility for coffee yield prediction were extracted.•Three robust data-intelligent methods (ELM, RF and MLR) were…”
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