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A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 2, doi: 10.1007/s11783-023-1622-3

Abstract:

● A novel deep learning framework for short-term water demand forecasting

Keywords： Short-term water demand forecasting     Long-short term memory neural network     Convolutional Neural Network    

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A novel hybrid model for water quality prediction based on VMD and IGOA optimized for LSTM

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 7, doi: 10.1007/s11783-023-1688-y

Abstract:

● A novel VMD-IGOA-LSTM model has proposed for the prediction of water quality.

Keywords： Water quality prediction     Grasshopper optimization algorithm     Variational mode decomposition     Long short-termmemory neural network    

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LDformer: a parallel neural network model for long-term power forecasting

田冉,李新梅,马忠彧,刘颜星,王晶霞,王楚

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9,   Pages 1287-1301 doi: 10.1631/FITEE.2200540

Abstract: Accurate long-term power forecasting is important in the decision-making operation of the power gridHowever, most time-series forecasting models do not perform well in dealing with long-time-series predictionFirst, we combine Informer with long short-term memory (LSTM) to obtain deep representation abilitiesLDformer outperforms the state-of-the-art methods for most of the cases when handling the different long-time-series

Keywords： Long-term power forecasting     Long short-term memory (LSTM)     UniDrop     Self-attention mechanism    

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Anlotinib as third- or further-line therapy for short-term relapsed small-cell lung cancer: subgroup

Frontiers of Medicine 2022, Volume 16, Issue 5,   Pages 766-772 doi: 10.1007/s11684-021-0916-8

Abstract: investigate the efficacy and safety of anlotinib as third- or further-line therapy in patients with short-termPatients with short-term relapsed SCLC (disease progression within 3 months after completing ≥ two linesFor patients with short-term relapsed SCLC, third- or further-line anlotinib treatment was associated

Keywords： anlotinib     chemotherapy     short-term relapsed     small-cell lung cancer    

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Response of bacterial communities to short-term pyrene exposure in red soil

Jingjing PENG, Hong LI, Jianqiang SU, Qiufang ZHANG, Junpeng RUI, Chao CAI

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 4,   Pages 559-567 doi: 10.1007/s11783-013-0501-8

Abstract: However, long-term exposure studies did not detect any significant effects of pyrene on soil microorganismIn this study, short-term microcosm experiments were conducted to identify the immediate effect of pyreneShort-term exposure to pyrene resulted in dominance of Proteobacteria in soil, followed by Acidobacteria

Keywords： pyrene     bacterial communities     terminal restriction fragment length polymorphism     short-term exposure     rank-abundance    

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distal pancreatectomy versus conventional laparoscopic distal pancreatectomy: a comparative study for short-term

Eric C. H. Lai,Chung Ngai Tang

Frontiers of Medicine 2015, Volume 9, Issue 3,   Pages 356-360 doi: 10.1007/s11684-015-0404-0

Abstract:

Robotic system has been increasingly used in pancreatectomy. However, the effectiveness of this method remains uncertain. This study compared the surgical outcomes between robot-assisted laparoscopic distal pancreatectomy and conventional laparoscopic distal pancreatectomy. During a 15-year period, 35 patients underwent minimally invasive approach of distal pancreatectomy in our center. Seventeen of these patients had robot-assisted laparoscopic approach, and the remaining 18 had conventional laparoscopic approach. Their operative parameters and perioperative outcomes were analyzed retrospectively in a prospective database. The mean operating time in the robotic group (221.4 min) was significantly longer than that in the laparoscopic group (173.6 min) (P = 0.026). Both robotic and conventional laparoscopic groups presented no significant difference in spleen-preservation rate (52.9% vs. 38.9%) (P = 0.505), operative blood loss (100.3 ml vs. 268.3 ml) (P = 0.29), overall morbidity rate (47.1% vs. 38.9%) (P = 0.73), and post-operative hospital stay (11.4 days vs. 14.2 days) (P = 0.46). Both groups also showed no perioperative mortality. Similar outcomes were observed in robotic distal pancreatectomy and conventional laparoscopic approach. However, robotic approach tended to have the advantages of less blood loss and shorter hospital stay. Further studies are necessary to determine the clinical position of robotic distal pancreatectomy.

Keywords： distal pancreatectomy     pancreatic neoplasm     robotic surgery    

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Insights into simultaneous anammox and denitrification system with short-term pyridine exposure: Process

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1433-3

Abstract:

• Short-term effect of the pyridine exposure on the SAD process was

Keywords： Anammox     Inhibition     Metabolic pathway     Microbial community     Pyridine     SAD    

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Exploring nonlinear spatiotemporal effects for personalized next point-of-interest recommendation

孙曦,吕志民

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9,   Pages 1273-1286 doi: 10.1631/FITEE.2200304

Abstract: We use the long short-term memory (LSTM) model with an attention mechanism as the basic framework and

Keywords： Point-of-interest recommendation     Spatiotemporal effects     Long short-term memory (LSTM)     Attention mechanism    

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Short-term Load Forecasting Using Neural Network

Luo Mei

Strategic Study of CAE 2007, Volume 9, Issue 5,   Pages 77-80

Abstract: three BP ANN models,  namely SDBP, LMBP and BRBP Model,  are established to carry out the short-term

Keywords： short-term load forecasting(STLF)     ANN     Levenberg-Marquardt     Bayesian regularization     optimized algorithms    

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Effect of short-term atrazine addition on the performance of an anaerobic/anoxic/oxic process

Changyong WU, Xiaoling LI, Zhiqiang CHEN, Yongzhen PENG,

Frontiers of Environmental Science & Engineering 2010, Volume 4, Issue 2,   Pages 150-156 doi: 10.1007/s11783-010-0020-9

Abstract: anaerobic/anoxic/oxic (AO) wastewater treatment process was implemented to treat domestic wastewater with short-termThe specific NH NO reduction rate decreased slightly due to the short-term atrazine addition.The phosphorus removal rate was not affected by the short-term addition of atrazine under the appliednot removed with the AO process, even via absorption by the activated sludge in the process of the short-term

Keywords： biological nutrient removal     atrazine     anaerobic/anoxic/oxic (A2O) process     oxygen demand removal     oxygen uptake rate (OUR)    

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An improved chaotic hybrid differential evolution for the short-term hydrothermal scheduling problem

Tahir Nadeem MALIK,Salman ZAFAR,Saaqib HAROON

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 5,   Pages 404-417 doi: 10.1631/FITEE.1400189

Abstract: Short-term hydrothermal scheduling (STHTS) is a non-linear and complex optimization problem with a set

Keywords： Valve-point effect     Prohibited discharge zones     Differential evolution     Chaotic sequences     Constraint handling    

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Evaluating the short-term effect of ambient temperature on non-fatal outdoor falls and road traffic injuries

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 9, doi: 10.1007/s11783-023-1705-1

Abstract:

● A study assessing the temperature-injury relationship was conducted among students.

Keywords： Ambient temperature     Fall     Road traffic injury     Student     China    

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The second short-term warm ischemia after vascular anastomosis did not affect early renal function recovery

Tao Qiu, Jiangqiao Zhou, Xiuheng Liu, Minghuan Ge, Zhiyuan Chen

Frontiers of Medicine 2012, Volume 6, Issue 3,   Pages 329-331 doi: 10.1007/s11684-012-0211-9

Abstract:

Ischemic postconditioning was defined as rapid intermittent interruptions of blood ?ow in the early phase of reperfusion, which has been found to be protective against renal ischemia-reperfusion injury (IRI) in animal models but not in clinical trials. We describe a case that the allograft renal vein was twisted because of the surgeon’s mistake, which caused the warm ischemia of allograft after reperfusion. The allograft restored blood flow without second reperfusion and cold preservation after 9 min of warm ischemia. The patient was followed up for 3 months and the allograft worked well without complications.

Keywords： renal transplantation     vein twist     ischemia-reperfusion injury    

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Enhanced LSTM Model for Daily Runoff Prediction in the Upper Huai River Basin, China Article

Yuanyuan Man, Qinli Yang, Junming Shao, Guoqing Wang, Linlong Bai, Yunhong Xue

Engineering 2023, Volume 24, Issue 5,   Pages 230-239 doi: 10.1016/j.eng.2021.12.022

Abstract: To address this issue, this study proposes an enhanced long short-term memory (LSTM) model for runoff

Keywords： Runoff prediction     Long short-term memory     Upper Huai River Basin     Extreme runoff     Loss function    

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Dynamic time prediction for electric vehicle charging based on charging pattern recognition Research Article

Chunxi LI, Yingying FU, Xiangke CUI, Quanbo GE

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 2,   Pages 299-313 doi: 10.1631/FITEE.2200212

Abstract: Overcharging is an important safety issue in the charging process of electric vehicle power batteries, and can easily lead to accelerated battery aging and serious safety accidents. It is necessary to accurately predict the vehicle's to effectively prevent the battery from overcharging. Due to the complex structure of the battery pack and various s, the traditional prediction method often encounters modeling difficulties and low accuracy. In response to the above problems, data drivers and machine learning theories are applied. On the basis of fully considering the different electric vehicle battery management system (BMS) s, a prediction method with recognition is proposed. First, an intelligent algorithm based on dynamic weighted density peak clustering (DWDPC) and fusion is proposed to classify vehicle s. Then, on the basis of an improved simplified particle swarm optimization (ISPSO) algorithm, a high-performance prediction method is constructed by fully integrating and a strong tracking filter. Finally, the data run by the actual engineering system are verified for the proposed prediction algorithm. Experimental results show that the new method can effectively distinguish the s of different vehicles, identify the charging characteristics of different electric vehicles, and achieve high prediction accuracy.

Keywords： Charging mode     Charging time     Random forest     Long short-term memory (LSTM)     Simplified particle swarm    

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Title Author Date Type Operation

A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Journal Article

A novel hybrid model for water quality prediction based on VMD and IGOA optimized for LSTM

Journal Article

LDformer: a parallel neural network model for long-term power forecasting

田冉,李新梅,马忠彧,刘颜星,王晶霞,王楚

Journal Article

Anlotinib as third- or further-line therapy for short-term relapsed small-cell lung cancer: subgroup

Journal Article

Response of bacterial communities to short-term pyrene exposure in red soil

Jingjing PENG, Hong LI, Jianqiang SU, Qiufang ZHANG, Junpeng RUI, Chao CAI

Journal Article

distal pancreatectomy versus conventional laparoscopic distal pancreatectomy: a comparative study for short-term

Eric C. H. Lai,Chung Ngai Tang

Journal Article

Insights into simultaneous anammox and denitrification system with short-term pyridine exposure: Process

Journal Article

Exploring nonlinear spatiotemporal effects for personalized next point-of-interest recommendation

孙曦,吕志民

Journal Article

Short-term Load Forecasting Using Neural Network

Luo Mei

Journal Article

Effect of short-term atrazine addition on the performance of an anaerobic/anoxic/oxic process

Changyong WU, Xiaoling LI, Zhiqiang CHEN, Yongzhen PENG,

Journal Article

An improved chaotic hybrid differential evolution for the short-term hydrothermal scheduling problem

Tahir Nadeem MALIK,Salman ZAFAR,Saaqib HAROON

Journal Article

Evaluating the short-term effect of ambient temperature on non-fatal outdoor falls and road traffic injuries

Journal Article

The second short-term warm ischemia after vascular anastomosis did not affect early renal function recovery

Tao Qiu, Jiangqiao Zhou, Xiuheng Liu, Minghuan Ge, Zhiyuan Chen

Journal Article

Enhanced LSTM Model for Daily Runoff Prediction in the Upper Huai River Basin, China

Yuanyuan Man, Qinli Yang, Junming Shao, Guoqing Wang, Linlong Bai, Yunhong Xue

Journal Article

Dynamic time prediction for electric vehicle charging based on charging pattern recognition

Chunxi LI, Yingying FU, Xiangke CUI, Quanbo GE

Journal Article