Results 11 to 20 of about 3,833 (182)
Oriental Language Recognition (OLR) 2020: Summary and Analysis [PDF]
Interspeech 2021, 2021 The fifth Oriental Language Recognition (OLR) Challenge focuses on language recognition in a variety of complex environments to promote its development. The OLR 2020 Challenge includes three tasks: (1) cross-channel language identification, (2) dialect identification, and (3) noisy language identification.
Jing Li +6 more
openaire +2 more sources
OLR-WA Online Regression with Weighted Average
CoRR, 2023 Machine Learning requires a large amount of training data in order to build accurate models. Sometimes the data arrives over time, requiring significant storage space and recalculating the model to account for the new data. On-line learning addresses these issues by incrementally modifying the model as data is encountered, and then discarding the data.
Mohammad Abu-Shaira, Greg Speegle
openaire +2 more sources
OLR 2021 Challenge: Datasets, Rules and Baselines
CoRR, 2021 This paper introduces the sixth Oriental Language Recognition (OLR) 2021 Challenge, which intends to improve the performance of language recognition systems and speech recognition systems within multilingual scenarios. The data profile, four tasks, two baselines, and the evaluation principles are introduced in this paper.
Binling Wang +9 more
openaire +3 more sources
AP20-OLR Challenge: Three Tasks and Their Baselines
CoRR, 2020 This paper introduces the fifth oriental language recognition (OLR) challenge AP20-OLR, which intends to improve the performance of language recognition systems, along with APSIPA Annual Summit and Conference (APSIPA ASC). The data profile, three tasks, the corresponding baselines, and the evaluation principles are introduced in this paper.
Zheng Li +7 more
openaire +3 more sources
Cirrus horizontal inhomogeneity and OLR bias [PDF]
Geophysical Research Letters, 2000 The outgoing longwave radiation (OLR) bias due to the neglect of cloud horizontal inhomogeneities has been examined in this study. It is argued that this OLR bias is most significant for semi‐transparent cirrus clouds that are located in the cold upper troposphere. Using two cirrus cases observed from cloud radar, it is found that the OLR biases due to
Qiang Fu, B. Carlin, G. Mace
openaire +1 more source
Remote Sensing, 2018 This study describes the development of a new globally gridded climate data record (CDR) for daily outgoing longwave radiation (OLR) using the High-Resolution Infrared Radiation Sounder (HIRS) sensor.
Carl J. Schreck +2 more
doaj +1 more source
Remote Sensing, 2021 Droughts are ranked among the most devastating agricultural disasters that occur naturally in the world. East Africa is the most vulnerable and drought-prone region worldwide.
Wilson Kalisa +9 more
doaj +1 more source
Annals of Gastroenterological Surgery, 2022 Aim This study aimed to elucidate the effects of laparoscopic liver resection (LLR) vs open liver resection (OLR) for major complications (Clavien‐Dindo classification grade ≥ IIIa) in obese individuals with hepatocellular carcinoma (HCC).
Atsushi Ishihara +9 more
doaj +1 more source
BMC Surgery, 2022 Background The incidence of hepatocellular carcinoma (HCC) requiring surgical treatment in older patients has been continuously increasing. This study aimed to examine the safety and feasibility of performing laparoscopic liver resection (LLR) versus ...
Kazuteru Monden +4 more
doaj +1 more source
Remote Sensing, 2022 Top-of-atmosphere (TOA) outgoing longwave radiation (OLR), a key component of the Earth’s energy budget, serves as a diagnostic of the Earth’s climate system response to incoming solar radiation.
Chuan Zhan +5 more
doaj +1 more source