Results 51 to 60 of about 1,645,972 (339)

Slice group based multiple description video coding with three motion compensation loops [PDF]

, 2005
The paper proposes a novel scheme for a multiple description video coding approach using the slice group coding tool proposed in H.264. Three motion compensation loops, one central and two side loops, are maintained for two descriptions in the encoder ...
Bull, DR, Canagarajah, CN, Wang, D
core   +2 more sources

The ENCODE project [PDF]

Nature Methods, 2012
The second, genome-wide phase of the Encyclopedia of DNA Elements (ENCODE) project is being reported.
openaire   +2 more sources

DNN-Based Slip Ratio Estimator for Lugged-Wheel Robot Localization in Rough Deformable Terrains

IEEE Access, 2023
This paper presents a deep neural network (DNN)-based slip ratio estimator fused with an invariant extended Kalman filter (IEKF) for lugged-wheel robot localization using an inertial sensor and an encoder.
Chul-Hong Kim, Dong-Il Cho
doaj   +1 more source

Validity and Reliability of Inertial Measurement System for Linear Movement Velocity in Flywheel Squat Exercise

Sensors, 2023
The aim of this study was to examine the validity and reliability of an Inertial Measurement System integrated into a secondary pulley (IMS) for determining linear velocity during flywheel squat exercises.
Sergio Maroto-Izquierdo, Kazunori Nosaka, Jesús Alarcón-Gómez, Fernando Martín-Rivera   +3 more
doaj   +1 more source

Learning Behavior Evaluation Model and Teaching Strategy Innovation by Social Media Network Following Learning Psychology

Frontiers in Psychology, 2022
With the development of various network technologies and the spread of coronavirus disease 2019, many online learning platforms have been built. However, some of them may negatively impact student learning outcomes.
Lijuan Yuan, Hongming Li, Shiman Fu, Zizai Zhang   +3 more
doaj   +1 more source

Deep Learning-Based MRI Brain Tumor Segmentation With EfficientNet-Enhanced UNet

IEEE Access
Medical image segmentation plays a critical role in the field of medical image processing. Precisely delineating brain tumor areas from multimodal MRI scans is crucial for clinical diagnosis and predicting patient outcomes. However, challenges arise from
Pradeep Kumar Tiwary, Prashant Johri, Alok Katiyar, Mayur Kumar Chhipa   +3 more
doaj   +1 more source

Optimized Single-Axis Schedule Solar Tracker in Different Weather Conditions

Energies, 2020
Improving the efficiency of solar panels is the main task of solar energy generation. One of the methods is a solar tracking system. One of the most important parameters of tracking systems is a precise orientation to the Sun.
Nurzhigit Kuttybay, Ahmet Saymbetov, Saad Mekhilef, Madiyar Nurgaliyev, Didar Tukymbekov, Gulbakhar Dosymbetova, Aibolat Meiirkhanov, Yeldos Svanbayev   +7 more
doaj   +1 more source

Multilingual Universal Sentence Encoder for Semantic Retrieval [PDF]

Annual Meeting of the Association for Computational Linguistics, 2019
We present easy-to-use retrieval focused multilingual sentence embedding models, made available on TensorFlow Hub. The models embed text from 16 languages into a shared semantic space using a multi-task trained dual-encoder that learns tied cross-lingual
Yinfei Yang, Daniel Matthew Cer, Amin Ahmad, Mandy Guo, Jax Law, Noah Constant, Gustavo Hernández Ábrego, Steve Yuan, C. Tar, Yun-Hsuan Sung, B. Strope, R. Kurzweil   +11 more
semanticscholar   +1 more source

Computationally Efficient Single Layer Transformer Convolutional Encoder for Accurate Price Prediction of Agriculture Commodities

IEEE Access
Predicting the accurate future price of the agricultural crops is important to avoid overproduction or shortages in the food supply chain. To obtain accurate predictions, the process usually involves large and complex datasets, which would add to ...
Caceja Elyca Anak Bundak, Mohd Amiruddin Abd Rahman, Nurin Syazwina Mohd Haniff, Nur Syaiful Afrizal, Khairul Adib Yusof, Muhammad Khalis Abdul Karim, Md Shuhazlly Mamat, Romi Fadillah Rahmat   +7 more
doaj   +1 more source

Fixed-to-Variable Length Resolution Coding for Target Distributions

, 2013
The number of random bits required to approximate a target distribution in terms of un-normalized informational divergence is considered. It is shown that for a variable-to-variable length encoder, this number is lower bounded by the entropy of the ...
Amjad, Rana Ali, Böcherer, Georg
core   +1 more source