Results 101 to 110 of about 35,533,713 (263)

Integration of Liquid Handling Robotics, Turbidimetry, and Machine Learning Toward Inverse Design of Lower Critical Solution Temperature Polymer Formulations

Advanced Intelligent Systems, EarlyView.
An integrated OT‐2/plate reader platform automates LCST cloud point measurement of NIPAM‐co‐DMAEMA copolymers across high‐dimensional formulation spaces. Machine learning trained on the resulting high‐throughput datasets achieves R2 up to 0.96 and enables inverse design of polymer formulations to target transition temperatures with <1% error.
Lachlan Alexander, Vianna F. Jafari, Tanja Junkers   +2 more
wiley   +1 more source

Performance Optimization and Architectural Advancements in Cloud Radio Access Networks (C-RAN) for 5G and Beyond

Journal of Electronic & Information Systems
As the demand for high-speed, low-latency, and energy-efficient mobile communications continues to surge with the proliferation of IoT, AR/VR, and ultra-reliable applications, traditional Distributed Radio Access Network (D-RAN) architectures face critical limitations.
openaire   +1 more source

Physical Layer Split for User Selective Uplink Joint Reception in SDN Enabled Cloud-RAN

, 2016
International audienceTo meet quality of service requirements on the uplink of future cellular networks, we need to exploit inter-cell interference among users eligible for cooperation.
Gopalasingham, Aravinthan, Roullet, Laurent, Boviz, Dora, Shue Chen, Chung   +3 more
core  

RISET STRATEGI IMPLEMENTASI C-RAN DI TELKOMSEL MELALUI KOLABORASI JARINGAN NG-PON2 DI TELKOM AKSES MENGGUNAKAN PENDEKATAN METODE STRATEGIC SITUATION ANALYSIS

, 2007
Cloud Radio Access Network (C-RAN) adalah teknologi akses radio yang diyakini mampu menekan biaya CAPEX dan OPEX dari mobile operator dan memberikan performansi yang lebih baik dibandingkan Radio Access Network (RAN) tradisional.
Tri Susanto, Bilpen Nainggolan, K.J. Hartono   +2 more
core   +1 more source

AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges

Advanced Intelligent Systems, EarlyView.
This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit, Yizhou Qian, Yi‐Chien Chen, Ziyang Shen, Po‐Sheng Chiu, Youngeon Lee, Cheng‐Han Ke, Chih‐Lung Lin, Shin‐Tson Wu   +8 more
wiley   +1 more source

Beyond the Camera: Epidermal Sensor Platforms for Intelligent Facial Expression Recognition and Interactive Human Monitoring

Advanced Intelligent Systems, EarlyView.
Skin‐conformal epidermal sensors enable camera‐free intelligent facial monitoring by converting facial deformation and muscle activity into electrical signals through piezoresistive, capacitive, electrophysiologic, and self‐powered mechanisms. Coupled with artificial intelligence (AI), these platforms support facial expression recognition, human ...
Jeehyun Joung, Manchi Nagaraju, Jun‐Gyu Choi, Jaeil Park, Sungjun Park, Daegun Kim   +5 more
wiley   +1 more source

Evaluation of Packet Preemption over C-RAN Fronthaul Networks [PDF]

, 2017
The Cloud Radio Access Network (C-RAN) is viewed as a new solution with benefits of reduced cost by sharing resources. This is achieved by the separation of the radio part and the radio processing part, where the transport network between them is ...
Berger, Michael Stübert, Zhou, Zifan, Ruepp, Sarah Renée, Yan, Ying   +3 more
core  

A Distributed Multirobot Architecture for Decoupled Inspection and Localized Treatment in Precision Agriculture

Advanced Intelligent Systems, EarlyView.
A distributed multirobot architecture enables asynchronous vineyard inspection and localized treatment through a cloud‐based mission control center. Real‐world validation demonstrates reliable coordination of heterogeneous robots, accurate disease detection, and effective conversion of georeferenced observations into targeted treatment actions ...
José M. Bengochea‐Guevara, Héctor Montes, María Nuria Conejero, Laura Garrido‐Rey, Carlos Ranz, Angelo Vincenzo Barra, Dionisio Andújar, Angela Ribeiro   +7 more
wiley   +1 more source

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

Archaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka, Hector A. Orengo, Felipe Lumbreras Ruiz, Iban Berganzo‐Besga, Ekta Gupta   +4 more
wiley   +1 more source

Optimizing Cloud-RAN Deployments in Real-life Scenarios Using Microwave Radio

, 2015
Cloud Radio Access Network (C-RAN) is a new architecture designed to be the candidate for enabling future mobile networks. However, it will be deployed only if it is economically viable.
Aleksandra Checko, Holm, Henrik, Henrik Holm, Christiansen, Henrik Lehrmann, Checko, Aleksandra, Al-obaidi, Rami, Henrik Christiansen, Rami Al-obaidi   +7 more
core   +1 more source