Results 81 to 90 of about 17,724 (252)

CDFNet: Cross‐Modal Deep Fusion for Monocular 3D Semantic Scene Completion

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Semantic scene completion (SSC) aims to predict the semantic occupancy and geometry of 3D scenes. Recently, most studies focus on camera‐based approaches due to the rich visual cues of images and the cost‐effectiveness of cameras. However, these methods usually lack efficient fusion and fine‐grained processing of cross‐modal semantic ...
Xianjing Cheng, Lintai Wu, Jie Wen, Tianhao Peng, Yong Xu, Zairong Wei   +5 more
wiley   +1 more source

Grus vipio [PDF]

Nature, 1873
n ...
openaire   +2 more sources

A Novel Full‐Chain Loop Tracking Auditing Framework for Obtaining Audit Evidence With Reasonable Assurance

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT As an attestation engagement, auditing is required to provide reasonable assurance for its conclusions. Traditional auditing has limited capacity to handle unstructured data and is usually based on audit sampling techniques, which can lead to the neglect of important audit evidence during the auditing process and result in a higher audit risk,
Xiaojia Wang, Ziqing Luo, Chaoxu Mu
wiley   +1 more source

Improving the forecasting accuracy of monthly runoff time series of the Brahmani River in India using a hybrid deep learning model

Journal of Water and Climate Change
Accurate prediction of monthly runoff is critical for effective water resource management and flood forecasting in river basins. In this study, we developed a hybrid deep learning (DL) model, Fourier transform long short-term memory (FT-LSTM), to improve
Sonali Swagatika, Jagadish Chandra Paul, Bibhuti Bhusan Sahoo, Sushindra Kumar Gupta, P. K. Singh   +4 more
doaj   +1 more source

A Novel Single‐Encounter‐Emphasise‐Attention Neural Network for Predictive Maintenance in Urban Infrastructure

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The Riyadh Metro represents a significant project in Saudi Arabia, designed to transform urban transportation and reduce traffic congestion within the city. With six metro lines and 85 stations, the network is expected to serve millions of passengers daily, necessitating innovative digitally driven maintenance approaches to ensure reliable ...
Tawfeeq Shawly, Ahmed A. Alsheikhy
wiley   +1 more source

FGFR1OP2-FGFR1 induced myeloid leukemia and T-cell lymphoma in a mouse model

Haematologica, 2016
Haiyan Qin, Qing Wu, John K. Cowell, Mingqiang Ren   +3 more
doaj   +1 more source

Grus grus

, 2008
Recopilación de observaciones de la Grulla común (Grus grus) realizadas durante varias salidas de campo a diferentes enclaves de Palencia y Valladolid, cerca de la Laguna de la Nava y de Laguna de Duero, respectivamente, entre 1947 y 1952. Se incluyen los datos de dos contenidos estomacales.
openaire   +1 more source

A Multi‐Agent Bidding Strategy in Day‐Ahead Joint Energy and Reserve Markets Considering Risk Preferences

IET Smart Energy Systems, EarlyView.
A PER‐MATD3‐based bidding model for generators in day‐ahead joint energy and reserve markets is proposed. An aggressiveness coefficient quantifies risk preference, KAN improves interpretability and simulation results demonstrate enhanced coordinated decision‐making and training stability.
Xinge Xu, Teng Yan, Xiuming Bao, Dong Liu, Guodong Guo, Yingyun Sun   +5 more
wiley   +1 more source

LSTM AND GRU IN RICE PREDICTION FOR FOOD SECURITY IN INDONESIA

Barekeng
Hunger in Indonesia remains a serious challenge, especially in the face of food price instability, particularly rice as the main staple food. In order to achieve SDG 2 “Zero Hunger” by 2030, policies that support price stability and more effective food ...
Triyani Hendrawati, Kennedy Marthendra, Brian Riski Jayama Simanjuntak, Anindya Aprilianti Pravitasari   +3 more
doaj   +1 more source

Targeted behavioural and microclimate data collection substantially improves biophysical model predictions of energy expenditure in wild birds

Functional Ecology, EarlyView.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Energy is fundamental for life and accurately predicting animals' energy expenditure under changing environments is central to ecology and global change biology. Energy expenditure in free‐living animals can be directly quantified using the doubly labelled water (DLW ...
Shannon R. Conradie, Amanda R. Bourne, Ryno Kemp, Barry van Jaarsveld, Zenon J. Czenze, Amanda R. Ridley, Andrew E. McKechnie, Susan J. Cunningham   +7 more
wiley   +1 more source