Results 31 to 40 of about 2,618,511 (337)
Onion RBS for Disorders Diagnosis and Treatment [PDF]
, 2016 : This research included the design of an initial expert system which helps farmers and specialists to diagnose and provide appropriate advice on onion plant diseases; furthermore, the management of knowledge used in the expert system was discussed.
Ali, Alajrami, Randa, Qassas
core
FEBS Letters, EarlyView.Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria +3 more
wiley +1 more source
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
FEBS Letters, EarlyView.Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan +2 more
wiley +1 more source
Autonomous power expert system [PDF]
The goal of the Autonomous Power System (APS) program is to develop and apply intelligent problem solving and control technologies to the Space Station Freedom Electrical Power Systems (SSF/EPS).
Quinn, Todd M., Ringer, Mark J.
core +4 more sources
Responsive nanomedicine strategies achieve pancreatic cancer precise theranostics
Bioactive MaterialsPancreatic ductal adenocarcinoma (PDAC), the predominant subtype of pancreatic cancer, ranks among the deadliest malignancies worldwide, with a 5-year survival rate remaining below 13 %.
Fangjian Li +14 more
doaj +1 more source
Neutrosophic Logic Approach for Evaluating Learning Management Systems [PDF]
Neutrosophic Sets and Systems, 2016 Uncertainty in expert systems is essential research point in artificial intelligence domain. Uncertain knowledge representation and analysis in expert systems is one of the challenges that takes researchers concern as different uncertainty types which ...
Nouran Radwan +2 more
doaj
Exploring lipid diversity and minimalism to define membrane requirements for synthetic cells
FEBS Letters, EarlyView.Designing the lipid membrane of synthetic cells is a complex task, in which its various roles (among them solute transport, membrane protein support, and self‐replication) should all be integrated. In this review, we report the latest top‐down and bottom‐up advances and discuss compatibility and complexity issues of current engineering approaches ...
Sergiy Gan +2 more
wiley +1 more source
Computer Science & Engineering: An International Journal, 2012 Machine learning [1] is concerned with the design and development of algorithms that allow computers to evolve intelligent behaviors based on empirical data. Weak learner is a learning algorithm with accuracy less than 50%. Adaptive Boosting (Ada-Boost) is a machine learning algorithm may be used to increase accuracy for any weak learning algorithm ...
Praveen Kumar G, Asst Prof Ramesh Babu
openaire +1 more source
Expert System Pada Komputer Paralel [PDF]
, 2015 Large-scale data processing and the different systems is necessary, for the electoral process in parallel computer is indispensable. As a reference in this paper was approached by the use of expert systems as part of the smallest in the relational data ...
Mandala, J. F. (Jani)
core
FEBS Letters, EarlyView.Nicotinamide (NIC) and nicotinic acid (NIA) are proposed as stress signaling compounds in plants. Oxidative stress may lead to single strand breaks (SSB) in DNA, which activate poly(ADP‐ribose) polymerase (PARP). NIC and NIA are then formed from NAD. NIC and NIA can promote epigenetic changes leading to the expression of defense genes specific for the ...
Torkel Berglund, Anna B. Ohlsson
wiley +1 more source