AIMC Topic: Computer Simulation
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Automated assessment of simulated laparoscopic surgical skill performance using deep learning.
Scientific reports
Apr 19, 2025
Artificial intelligence (AI) has the potential to improve healthcare and patient safety and is currently being adopted across various fields of medicine and healthcare. AI and in particular computer vision (CV) are well suited to the analysis of mini...
In-silico investigation integrated with machine learning to identify potential inhibitors targeting AKT2: Key driver of cancer cell progression and metastasis.
Computer methods and programs in biomedicine
Apr 18, 2025
BACKGROUND AND OBJECTIVE: In search of a key driver for the invasive growth of cancer metastasis, AKT2 is found to be exceptionally expressed in colorectal cancer and its metastasis. Again, exceeding genomic arrangements of AKT2 can be held responsib...
Comprehensive insights into carbonic anhydrase inhibition: A triad of In vitro, In silico, and In vivo perspectives.
Enzyme and microbial technology
Apr 17, 2025
Carbonic anhydrases (CAs) are zinc-dependent metalloenzymes essential for sustaining physiological balance by facilitating the reversible conversion of carbon dioxide to its hydrated form. Their biological significance, coupled with their involvement...
Multiscroll hidden attractor in memristive autapse neuron model and its memristor-based scroll control and application in image encryption.
Neural networks : the official journal of the International Neural Network Society
Apr 17, 2025
In current neurodynamic studies, memristor models using polynomial or multiple nested composite functions are primarily employed to generate multiscroll attractors, but their complex mathematical form restricts both research and application. To addre...
Deep reinforcement learning for decision making of autonomous vehicle in non-lane-based traffic environments.
PloS one
Apr 16, 2025
Existing research on decision-making of autonomous vehicles (AVs) has mainly focused on normal road sections, with limited exploration of decision-making in complex traffic environments without lane markings. Taking toll plaza diverging area as an ex...
In silico design of ankyrin repeat proteins that bind to the insulin-like growth factor type 1 receptor.
Journal of molecular graphics & modelling
Apr 15, 2025
Ankyrins are proteins widely distributed in nature that mediate protein‒protein interactions. Owing to their outstanding stability and ability to recognize targets, ankyrins have been used as therapeutic and diagnostic tools in several diseases, incl...
Tracking control of robotic manipulator end-effector trajectory based on robust sliding mode method.
PloS one
Apr 15, 2025
This paper addresses the precise trajectory tracking of robotic manipulators (RMs) in automation tasks, particularly in hazardous environments. A dynamic model of the end-effector in Cartesian coordinates is developed to represent the system's motion...
Mapping the landscape of APSIM-driven agricultural research: a bibliometric analysis and future perspectives.
International journal of biometeorology
Apr 11, 2025
Agricultural research has consistently progressed through the integration of advanced technologies into farming systems. A significant paradigm shift in agricultural production system research has occurred with the development of simulation models, m...
Dynamic events-based adaptive NN output feedback control of interconnected nonlinear systems under general output constraint.
Neural networks : the official journal of the International Neural Network Society
Apr 9, 2025
This paper investigates the adaptive NN output feedback tracking control problem for a class of interconnected nonlinear systems. Unlike the existing control algorithms, we propose a dynamic event-triggered output constraint control algorithm.First, ...
Event-triggered control for input-constrained nonzero-sum games through particle swarm optimized neural networks.
Neural networks : the official journal of the International Neural Network Society
Apr 9, 2025
To accommodate the increasing system scale, improve the system operation success rate and save the computational and communication resources, it is urgent to obtain the Nash equilibrium solution for systems with increasing controllers in an effective...
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