AIMC Topic: Computing Methodologies

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QPoweredCompound2DeNovoDrugPropMax - a novel programmatic tool incorporating deep learning and methods for automated in silico bio-activity discovery for any compound of interest.

Journal of biomolecular structure & dynamics Jan 10, 2022
Network data is composed of nodes and edges. Successful application of machine learning/deep learning algorithms on network data to make node classification and link prediction have been shown in the area of social networks through which highly custo...
Neural Networks, Computer Ligands Computing Methodologies Deep Learning Quantum Theory
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Edge Caching in Fog-Based Sensor Networks through Deep Learning-Associated Quantum Computing Framework.

Computational intelligence and neuroscience Jan 7, 2022
Fog computing (FC) based sensor networks have emerged as a propitious archetype for next-generation wireless communication technology with caching, communication, and storage capacity services in the edge. Mobile edge computing (MEC) is a new era of ...
Computing Methodologies Deep Learning Quantum Theory Algorithms
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Using computers to ESKAPE the antibiotic resistance crisis.

Drug discovery today Oct 21, 2021
Since the discovery of penicillin, the development and use of antibiotics have promoted safe and effective control of bacterial infections. However, the number of antibiotic-resistance cases has been ever increasing over time. Thus, the drug discover...
Artificial Intelligence Drug Resistance, Microbial Quantum Theory Computing Methodologies Anti-Bacterial Agents Drug Design Computers
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Statistical field theory of the transmission of nerve impulses.

Theoretical biology & medical modelling Jan 6, 2021
BACKGROUND: Stochastic processes leading voltage-gated ion channel dynamics on the nerve cell membrane are a sufficient condition to describe membrane conductance through statistical mechanics of disordered and complex systems.
Artificial Intelligence Models, Neurological Computing Methodologies Action Potentials Quantum Theory
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Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports.

Journal of biomedical informatics Sep 9, 2020
OBJECTIVE: In machine learning, it is evident that the classification of the task performance increases if bootstrap aggregation (bagging) is applied. However, the bagging of deep neural networks takes tremendous amounts of computational resources an...
Information Storage and Retrieval Computing Methodologies Humans Neural Networks, Computer Machine Learning Neoplasms
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A Real-Time Fire Detection Method from Video with Multifeature Fusion.

Computational intelligence and neuroscience Jul 14, 2019
The threat to people's lives and property posed by fires has become increasingly serious. To address the problem of a high false alarm rate in traditional fire detection, an innovative detection method based on multifeature fusion of flame is propose...
Computing Methodologies Humans Color Computer Systems Algorithms Support Vector Machine Fires
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A Hybrid Ensemble Model Based on ELM and Improved AdaBoost.RT Algorithm for Predicting the Iron Ore Sintering Characters.

Computational intelligence and neuroscience Jan 17, 2019
As energy efficiency becomes increasingly important to the steel industry, the iron ore sintering process is attracting more attention since it consumes the second large amount of energy in the iron and steel making processes. The present work aims t...
Electronic Data Processing Computing Methodologies Iron Neural Networks, Computer Machine Learning Algorithms
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Scalable deep text comprehension for Cancer surveillance on high-performance computing.

BMC bioinformatics Dec 21, 2018
BACKGROUND: Deep Learning (DL) has advanced the state-of-the-art capabilities in bioinformatics applications which has resulted in trends of increasingly sophisticated and computationally demanding models trained by larger and larger data sets. This ...
Comprehension Computing Methodologies Humans Neoplasms Neural Networks, Computer Deep Learning
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Estimation theory and Neural Networks revisited: REKF and RSVSF as optimization techniques for Deep-Learning.

Neural networks : the official journal of the International Neural Network Society Oct 3, 2018
Deep-Learning has become a leading strategy for artificial intelligence and is being applied in many fields due to its excellent performance that has surpassed human cognitive abilities in a number of classification and control problems (Ciregan, Mei...
Neural Networks, Computer Artificial Intelligence Humans Computing Methodologies Algorithms Deep Learning
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Insect-inspired neuromorphic computing.

Current opinion in insect science Sep 21, 2018
The steady improvement in the performance of computing systems seen for many decades is levelling off as the miniaturization of semiconducting technology approaches the atomic limit, facing severe physical and technological issues. Neuromorphic compu...
Insecta Artificial Intelligence Neural Networks, Computer Nervous System Physiological Phenomena Animals Computing Methodologies Microtechnology
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