Results 31 to 40 of about 60,322 (264)

The Intelligent Data Analysis Techniques and its Significant Impact on Managing Renewable Energy Resources

open access: yesIbn Al-Haitham Journal for Pure and Applied Sciences
Accelerated technological development has a significant role in highly increasing energy demand, which enhances the interest of companies and governments in adopting renewable energy sources and finding new technologies that enable the effective use of ...
Ghada S. Mohammed   +3 more
doaj   +1 more source

Data-driven framework for energy-efficient smart cities [PDF]

open access: yesSerbian Journal of Electrical Engineering, 2020
Energy management is one of the greatest challenges in smart cities. Moreover, the presence of autonomous vehicles makes this task even more complex.
Petrović Nenad, Kocić Đorđe
doaj   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

open access: yesFEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Energy-Efficient UAV Communications with Interference Management: Deep Learning Framework [PDF]

open access: yes2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), 2020
In this paper, an interference-aware energy- efficient scheme for a network of coexisting aerial-terrestrial cellular users is proposed. In particular, each aerial user aims at achieving a trade-off between maximizing energy efficiency and spectral efficiency while minimizing the incurred interference on the terrestrial users along its path. To provide
Jantti, Riku, Ghavimi, Fayezeh
openaire   +3 more sources

Jaya Hunger Game Search Enabled Energy Efficient Optimal Resource Allocation in Internet of Things and Energy Prediction Using Deep Long Short Term Memory

open access: yesInternational Journal of Computational Intelligence Systems
For the past few years, the Internet of Things (IoT) has received considerable attention and developments among researchers to achieve improved resource utilization. For data transmission among heterogeneous components, IoT needs a powerful communication
Yannam Bharath Bhushan, S. Aparna
doaj   +1 more source

Energy-Efficient Rate-Splitting Multiple Access: A Deep Reinforcement Learning-Based Framework

open access: yesIEEE Open Journal of the Communications Society, 2023
Rate-Splitting Multiple Access (RSMA) has been recognized as an effective technique to reconcile the tradeoff between decoding interference and treating interference as noise in 6G and beyond networks.
Maria Diamanti   +3 more
doaj   +1 more source

The human gut microbiome across the life course

open access: yesFEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero   +4 more
wiley   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

Energy-Efficient Object Tracking Using Adaptive ROI Subsampling and Deep Reinforcement Learning

open access: yesIEEE Access, 2023
Recent innovations in ROI camera systems have opened up the avenue for exploring energy optimization techniques like adaptive subsampling. Generally speaking, image frame capture and read-out demand high power consumption.
Sameeksha Katoch   +3 more
doaj   +1 more source

Reconstructing enzyme evolution by protein engineering

open access: yesFEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler   +2 more
wiley   +1 more source

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