Results 141 to 150 of about 38,904 (311)

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Reducing the Individual Carbon Impact of Video Streaming: A Seven-Week Intervention Using Information, Goal Setting, and Feedback. [PDF]

J Consum Policy (Dordr), 2023
Seger BT, Burkhardt J, Straub F, Scherz S, Nieding G.   +4 more
europepmc   +1 more source

On the road to the metaverse: Point cloud video streaming: Perspectives and enablers

ICT Express
In the rapidly evolving metaverse ecosystem, video streaming plays a vital role, offering immersive, on-demand experiences and engaging users in dynamic 3D virtual environments.
Patrick Enenche, Dong Ho Kim, Dongho You
doaj   +1 more source

Fluorescent Hydrogel‐Based Strain Sensor With Machine Learning‐Augmented Performance

Advanced Intelligent Discovery, EarlyView.
Fluorescent hydrogel strain sensor based on carbon quantum dots enabling optical readout of deformation through strain‐dependent emission changes, coupled with Random Forest analysis to capture nonlinear fluorescence‐concentration relationships and identify optimal sensing conditions. Hydrogels are ideal matrices for bio‐integrated wearable sensors due
Tailai Chen, Tianlong Liu, Chao Lu, Rimsha Malik, Jin Zhang   +4 more
wiley   +1 more source

Time-synchronic comments on video streaming website reveal core structures of audience engagement in movie viewing. [PDF]

Front Psychol, 2022
Ni W, Coupé C.
europepmc   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

QoE Aware Video Streaming Scheme Utilizing GRU-Based Bandwidth Prediction and Adaptive Bitrate Selection for Heterogeneous Mobile Networks

IEEE Access
Nowadays, video streaming has become a popular form of multimedia for communication and entertainment. The rapid traffic explosion spurred by the development of emerging video-centric services such as e-science, virtual reality, and video conference has ...
Tien Vu Huu, Su Van Pham, Thao Nguyen Thi Huong, Hai-Chau Le   +3 more
doaj   +1 more source

VIDEO STREAMING WITH GIGABIT PASSIVE OPTICAL NETWORK TECHNOLOGY

, 2011
Perkembangan teknologi berpengaruh kepada kebutuhan user untuk mengakses data lebih cepat, perlahan sistem dengan menggunakan Fiber Optic mulai menggeser posisi kabel tembaga dalam transmisi data karena lebih cepat.
Dian, Sulayman, Glorius, Kusuma, Aditya, Pratama Purnomo   +2 more
core  

AVS 3D video streaming system over internet

, 2012
The progresses on PC based 3D video display technology have made it feasible to provide 3D video streaming service over internet. Compared with 2D video streaming, 3D video streaming system demands more network bandwidth, computing power, and more ...
Wen Gao, Gao, Wen, Baicheng Xin, Chenchen Gu, Zheng, Quanzhan, Wang, Ronggang, Zhenyu Wang, Xin, Baicheng, Quanzhan Zheng, Wang, Wenmin, Wenmin Wang, Gu, Chenchen, Wang, Zhenyu, Ronggang Wang   +13 more
core   +1 more source

Human‐in‐the‐Loop Object Segmentation for 3D Gaussian Splatting via Finger‐based VR Interface

Advanced Intelligent Systems, EarlyView.
This study introduces a human‐in‐the‐loop segmentation framework for 3D Gaussian Splatting that integrates real‐time optimization with intuitive VR‐based finger prompting. Compared with existing automatic, learning‐based methods, it achieves significantly higher accuracy and reduced segmentation time.
Yongseok Lee, Hyunreal Park, Hyunsu Kim, Harim Ji, Dongho Yee, Dongjun Lee   +5 more
wiley   +1 more source