GIS-based flood hazard map** using relative frequency ratio method: A case study of Panjkora River Basin, eastern Hindu Kush, Pakistan

K Ullah, J Zhang - Plos one, 2020 - journals.plos.org
Flood is the most devastating and prevalent disaster among all-natural disasters. Every year,
flood claims hundreds of human lives and causes damage to the worldwide economy and …

Geographic information system and AHP-based flood hazard zonation of Vaitarna basin, Maharashtra, India

S Das - Arabian Journal of Geosciences, 2018 - Springer
Flood is one of the most common natural hazard that take place almost everywhere around
the world except the polar regions. Flood damage can be reduced through implementing …

LDA–GA–SVM: improved hepatocellular carcinoma prediction through dimensionality reduction and genetically optimized support vector machine

L Ali, I Wajahat, N Amiri Golilarz, F Keshtkar… - Neural Computing and …, 2021 - Springer
Hepatocellular carcinoma (HCC) is a common type of liver cancer worldwide. Patients with
HCC have rare chances of survival. The chances of survival increase, if the cancer is …

Map** of flood-prone areas utilizing GIS techniques and remote sensing: a case study of Duhok, Kurdistan Region of Iraq

AR M Amen, A Mustafa, DA Kareem, HM Hameed… - Remote Sensing, 2023 - mdpi.com
One of the most common types of natural disaster, floods can happen anywhere on Earth,
except in the polar regions. The severity of the damage caused by flooding can be reduced …

Coupling wavelet transform and artificial neural network for forecasting estuarine salinity

F Zhou, B Liu, K Duan - Journal of Hydrology, 2020 - Elsevier
Accurate and reliable predictions of estuarine salinity can lead to more effective water
resource management and can alleviate the adverse impacts of saltwater intrusion. Due to …

Flood risk assessment and map** based on a modified multi-parameter flood hazard index model in the Guanzhong Urban Area, China

X Dou, J Song, L Wang, B Tang, S Xu, F Kong… - … research and risk …, 2018 - Springer
The aim of this study is to promote appropriate land development policies and to improve
operations of flood risk in urban areas. This study first illustrated a multi-parameter flood …

A data-driven multi-model ensemble for deterministic and probabilistic precipitation forecasting at seasonal scale

L Xu, N Chen, X Zhang, Z Chen - Climate Dynamics, 2020 - Springer
Seasonal precipitation forecasting is valuable for regional water management and
agricultural food security. Current numerical models have large uncertainty in model …

PACDNN: A phase-aware composite deep neural network for speech enhancement

M Hasannezhad, H Yu, WP Zhu, B Champagne - Speech Communication, 2022 - Elsevier
Most of the current approaches for speech enhancement (SE) using deep neural network
(DNN) face a number of limitations: they do not exploit information contained in the phase …

Exploiting time-frequency patterns with LSTM-RNNs for low-bitrate audio restoration

J Deng, B Schuller, F Eyben, D Schuller… - Neural Computing and …, 2020 - Springer
Perceptual audio coding is heavily and successfully applied for audio compression.
However, perceptual audio coders may inject audible coding artifacts when encoding audio …

Lake ecosystem health assessment using a novel hybrid decision-making framework in the Nam Co, Qinghai-Tibet Plateau

Z Zhang, Y Liu, Y Li, X Wang, H Li, H Yang… - Science of the Total …, 2022 - Elsevier
Lake health assessment (LHA), a powerful tool for lake ecological protection, provides the
foundation for sustainable water environment management. However, existing methods …