Results 61 to 70 of about 3,096,610 (298)

Security and Cost-Aware Computation Offloading via Deep Reinforcement Learning in Mobile Edge Computing [PDF]

, 2020
© 2019 Binbin Huang et al. With the explosive growth of mobile applications, mobile devices need to be equipped with abundant resources to process massive and complex mobile applications.
Huang, B, Xu, Y, Li, Z, Pan, L, Li, Y, Hu, H, Wang, S   +6 more
core   +1 more source

The heterodimeric amino acid transporters (HAT) of the SLC7/SLC3 family: A structure−function relationships and relevance to human pathology

FEBS Letters, EarlyView.
Heterodimeric amino acid transporters consist of SLC7 and SLC3 family proteins arranged in a conserved structural organization. They regulate nutrient transport across cell membranes, supporting essential cellular functions. These transporters also contribute to xenobiotic/drug uptake and distribution.
Mariafrancesca Scalise, Tiziano Mazza, Raffaella Scanga, Lara Console, Michele Galluccio, Cesare Indiveri   +5 more
wiley   +1 more source

Big Data: Survey, Technologies, Opportunities, and Challenges

The Scientific World Journal, 2014
Big Data has gained much attention from the academia and the IT industry. In the digital and computing world, information is generated and collected at a rate that rapidly exceeds the boundary range.
Nawsher Khan, Ibrar Yaqoob, Ibrahim Abaker Targio Hashem, Zakira Inayat, Waleed Kamaleldin Mahmoud Ali, Muhammad Alam, Muhammad Shiraz, Abdullah Gani   +7 more
doaj   +1 more source

Smaller is better: nanobodies meet NMR

FEBS Letters, EarlyView.
Nanobodies are single‐domain antigen‐binding fragments derived from camelid heavy chain antibodies. Their small size, high stability, and exceptional specificity make nanobodies uniquely useful probes for NMR studies of protein dynamics, transient conformational states, and protein–protein interactions.
Oleg Y. Dmitriev
wiley   +1 more source

Capacity Management of Hyperscale Data Centers Using Predictive Modelling

Energies, 2019
Big Data applications have become increasingly popular with the emergence of cloud computing and the explosion of artificial intelligence. The increasing adoption of data-intensive machines and services is driving the need for more power to keep the data
Raihan Ul Islam, Xhesika Ruci, Mohammad Shahadat Hossain, Karl Andersson, Ah-Lian Kor   +4 more
doaj   +1 more source

Green Communication for Underwater Wireless Sensor Networks: Triangle Metric Based Multi-Layered Routing Protocol

Sensors, 2020
In this paper, we propose a non-localization routing protocol for underwater wireless sensor networks (UWSNs), namely, the triangle metric based multi-layered routing protocol (TM2RP).
Ahmad M. Khasawneh, Omprakash Kaiwartya, Jaime Lloret, Hayfa Y. Abuaddous, Laith Abualigah, Mohammad Al Shinwan, Mahmoud Ahmad Al-Khasawneh, Marwan Mahmoud, Rupak Kharel   +8 more
doaj   +1 more source

Study on Deep Learning Model for Online Estimation of Chlorophyll Content Based on Near Ground Multispectral Feature Bands

IEEE Access, 2022
Chlorophyll content in plant leaves is an essential indicator of the crop growth status. This study focuses on nondestructive estimation of the chlorophyll content of maize using near ground multispectral data.
Jiaxing Gao, Zhibin Zhang
doaj   +1 more source

Advances in Mobile Communications and Computing [PDF]

Mobile Information Systems, 2009
Advances in technology have enabled the combinations of mobile and ubiquitous computing to be increasingly present in our daily life. For example, progress in low power wireless communications along with silicon integration of various functionalities, such as sensing, communications, intelligence and actuations are emerging as a critically important ...
Durresi, Arjan, Denko, Mieso
openaire   +2 more sources

Soft motions encoded by the fold and mediated by conserved hinge sites drive V‐ATPase allosteric machinery and autoinhibition

FEBS Letters, EarlyView.
Vacuolar H+‐ATPase (V‐ATPase) is a multisubunit rotary proton pump that acidifies intracellular compartments. Using elastic network models, we identified conserved hinge residues that govern its large‐scale functional motions. We show that intrinsically encoded ‘soft modes’ drive critical functional transitions, including rotary catalysis and ...
Diksha Parwana, Xiaowei Bogetti, Stuti Sharma, Ivet Bahar   +3 more
wiley   +1 more source

Fed-NTP: A Federated Learning Algorithm for Network Traffic Prediction in VANET

IEEE Access, 2022
During the last years, the volume of data produced in smart cities has been growing up, which can cause network traffic. Some of the challenges in an Intelligent Transportation System (ITS) are predicting the network traffic with the highest accuracy ...
Sanaz Shaker Sepasgozar, Samuel Pierre
doaj   +1 more source