Results 51 to 60 of about 2,368,157 (325)

Forecasting Solar Energy Production Using Machine Learning

International Journal of Photoenergy, 2022
When it comes to large-scale renewable energy plants, the future of solar power forecasting is vital to their success. For reliable predictions of solar electricity generation, one must take into consideration changes in weather patterns over time.
C. Vennila, Anita Titus, T. Sri Sudha, U. Sreenivasulu, N. Pandu Ranga Reddy, K. Jamal, Dayadi Lakshmaiah, P. Jagadeesh, Assefa Belay   +8 more
doaj   +1 more source

Is the Cell Really a Machine? [PDF]

, 2019
It has become customary to conceptualize the living cell as an intricate piece of machinery, different to a man-made machine only in terms of its superior complexity.
Nicholson, Daniel J.
core  

Organ‐specific redox imbalances in spinal muscular atrophy mice are partially rescued by SMN antisense oligonucleotides

FEBS Letters, EarlyView.
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley   +1 more source

Predicting individual patient and hospital-level discharge using machine learning

Communications Medicine
Background Accurately predicting hospital discharge events could help improve patient flow and the efficiency of healthcare delivery. However, using machine learning and diverse electronic health record (EHR) data for this task remains incompletely ...
Jia Wei, Jiandong Zhou, Zizheng Zhang, Kevin Yuan, Qingze Gu, Augustine Luk, Andrew J. Brent, David A. Clifton, A. Sarah Walker, David W. Eyre   +9 more
doaj   +1 more source

Comparison of Volumetric Analysis Methods for Machine Tools with Rotary Axes [PDF]

, 2009
Confidence in the ability of a production machine to meet manufacturing tolerances requires a full understanding of the accuracy of the machine. However, the definition of “the accuracy of the machine” is open to interpretation. Historically, this has
Fletcher, Simon, Longstaff, Andrew P., Myers, Alan, Poxton, Anthony   +3 more
core  

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

FEBS 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

Development and validation of machine-learning models for monitoring individual behaviors in group-housed broiler chickens

Poultry Science
: Animals’ individual behavior is commonly monitored by live or video observation by a person. This can be labor intensive and inconsistent. An alternative is the use of machine learning-based computer vision systems. The objectives of this study were to
Victoria R. Merenda, Venkat U.C. Bodempudi, Monique D. Pairis-Garcia, Guoming Li   +3 more
doaj   +1 more source

Deep Learning and Machine Vision Approaches for Posture Detection of Individual Pigs

Sensors, 2019
Posture detection targeted towards providing assessments for the monitoring of health and welfare of pigs has been of great interest to researchers from different disciplines.
Abozar Nasirahmadi, Barbara Sturm, Sandra Edwards, Knut-Håkan Jeppsson, Anne-Charlotte Olsson, Simone Müller, Oliver Hensel   +6 more
doaj   +1 more source

Human–machine cooperation meta-model for clinical diagnosis by adaptation to human expert’s diagnostic characteristics

Scientific Reports, 2023
Artificial intelligence (AI) using deep learning approaches the capabilities of human experts in medical image diagnosis. However, due to liability issues in medical decisions, AI is often relegated to an assistant role.
Hae-Jeong Park, Sung Huhn Kim, Jae Young Choi, Dongchul Cha   +3 more
doaj   +1 more source

Machine Hyperconsciousness [PDF]

, 2006
Individual animal consciousness appears limited to a single giant component of interacting cognitive modules, instantiating a shifting, highly tunable, Global Workspace.
Wallace, Rodrick
core