Results 31 to 40 of about 2,891,657 (252)

AI-accelerated protein-ligand docking for SARS-CoV-2 is 100-fold faster with no significant change in detection

Scientific Reports, 2023
Protein-ligand docking is a computational method for identifying drug leads. The method is capable of narrowing a vast library of compounds down to a tractable size for downstream simulation or experimental testing and is widely used in drug discovery ...
Austin Clyde, Xuefeng Liu, Thomas Brettin, Hyunseung Yoo, Alexander Partin, Yadu Babuji, Ben Blaiszik, Jamaludin Mohd-Yusof, Andre Merzky, Matteo Turilli, Shantenu Jha, Arvind Ramanathan, Rick Stevens   +12 more
doaj   +1 more source

Statistical Mechanics of Time Domain Ensemble Learning

, 2006
Conventional ensemble learning combines students in the space domain. On the other hand, in this paper we combine students in the time domain and call it time domain ensemble learning.
Freund Y., Hara K., Inoue J. I., Krogh A., Maeda Y., Miyoshi S., Miyoshi S., Miyoshi S., Miyoshi S., Miyoshi S., Nishimori H., Saad D., Urbanczik R.   +12 more
core   +1 more source

Anti-periodicity on high-order inertial Hopfield neural networks involving mixed delays

Journal of Inequalities and Applications, 2020
This paper deals with a class of high-order inertial Hopfield neural networks involving mixed delays. Utilizing differential inequality techniques and the Lyapunov function method, we obtain a sufficient assertion to ensure the existence and global ...
Luogen Yao, Qian Cao
doaj   +1 more source

Crime prediction through urban metrics and statistical learning

, 2018
Understanding the causes of crime is a longstanding issue in researcher's agenda. While it is a hard task to extract causality from data, several linear models have been proposed to predict crime through the existing correlations between crime and urban ...
Alves, Luiz G A, Ribeiro, Haroldo V, Rodrigues, Francisco A   +2 more
core   +1 more source

Missing Risk Factor Prediction in Cardiovascular Disease Using a Blended Dataset and Optimizing Classification With a Stacking Algorithm

Engineering Reports
Machine learning is important in the treatment of heart disease because it is capable of analyzing large amounts of patient data, such as medical records, imaging tests, and genetic information, in order to identify patterns and predict the risk of ...
Jannatul Mauya, Saad Sahriar, Sanjida Akther, Ruhul Amin, Sabba Ruhi, Md. Shamim Reza   +5 more
doaj   +1 more source

The geography of agriculture participation and food security in a small and a medium-sized city in Ghana

Agricultural and Food Economics, 2020
The debate about the contribution of urban agriculture to urban household food security has not considered the possible differential effects by geography of production activities, focusing either on urban household’s participation in agriculture ...
Hayford Mensah Ayerakwa, Fred Mawunyo Dzanku, Daniel Bruce Sarpong   +2 more
doaj   +1 more source

The MedSupport Multilevel Intervention to Enhance Support for Pediatric Medication Adherence: Development and Feasibility Testing

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard, Hital Patel, Paula C. Vincent, Justine Kahn, Kira Bona, Thai Hoa Tran, Elisa M. Rodriguez, Kristopher Attwood, Kara M. Kelly   +8 more
wiley   +1 more source

Improved multiscale attention based deep learning approach for automated sugarcane leaf disease detection using BSRI data

Scientific Reports
Early and accurate detection of sugarcane leaf diseases is critical for improving crop productivity and reducing economic losses in the agricultural sector.  Timely interventions enable sustainable crop management and better resource use.
Jannatul Mauya, Ruhul Amin, Md. Imam Hossain, Sabba Ruhi, Md. Shamim Reza   +4 more
doaj   +1 more source

The extension of the largest generalized-eigenvalue based distance metric ) in arbitrary feature spaces to classify composite data points [PDF]

Genomics & Informatics, 2019
Analyzing patterns in data points embedded in linear and non-linear feature spaces is considered as one of the common research problems among different research areas, for example: data mining, machine learning, pattern recognition, and multivariate ...
Mosaab Daoud
doaj   +1 more source

Automatic Detection of Cognitive Impairment with Virtual Reality

Sensors, 2023
Cognitive impairment features in neuropsychiatric conditions and when undiagnosed can have a severe impact on the affected individual’s safety and ability to perform daily tasks.
Farzana A. Mannan, Lilla A. Porffy, Dan W. Joyce, Sukhwinder S. Shergill, Oya Celiktutan   +4 more
doaj   +1 more source