A5044984618- Glaucoma and retinal disorders
- Retinal Imaging and Analysis
- Analytical Chemistry and Chromatography
- Thermal and Kinetic Analysis
- Phase Equilibria and Thermodynamics
- Chemical Thermodynamics and Molecular Structure
- Food Drying and Modeling
- Computational Drug Discovery Methods
- Thermodynamic properties of mixtures
- Synthesis and properties of polymers
- Molecular spectroscopy and chirality
- Retinal Diseases and Treatments
- Water Quality Monitoring and Analysis
- Liquid Crystal Research Advancements
- Radiation Dose and Imaging
- Spectroscopy and Chemometric Analyses
- Radiation Therapy and Dosimetry
- Heat and Mass Transfer in Porous Media
- Epoxy Resin Curing Processes
- Coffee research and impacts
- Cryptographic Implementations and Security
- Fluid Dynamics and Mixing
- Field-Flow Fractionation Techniques
- Heat Transfer and Boiling Studies
- Fire dynamics and safety research
Gheorghe Asachi Technical University of Iași
2013-2024
Johnson Space Center
1999
The integration of multimodal data is critical in advancing artificial intelligence models capable interpreting diverse and complex inputs. While standalone excel processing individual types like text, image, or audio, they often fail to achieve comparable performance when these modalities are combined. Generative Adversarial Networks (GANs) have emerged as a transformative approach this domain due their ability synthesize learn across disparate effectively. This study addresses the...
The rapid evolution of 6G low Earth orbit (LEO) satellite networks presents new challenges in ensuring secure and efficient signal processing at the physical layer. integration massive connectivity, dynamic channel variations, potential eavesdropping threats necessitates robust security mechanisms. Traditional estimation techniques struggle to adapt highly nature LEO channels, leading degraded performance communications. To address these challenges, a Secure Channel Estimation Model (SCEM)...
The aim of this study is to evaluate the changes related diabetic retinopathy (DR) (no changes, small or moderate changes) in patients with glaucoma and diabetes using artificial intelligence instruments: Support Vector Machines (SVM) combination a powerful optimization algorithm—Differential Evolution (DE). In order classify DR make predictions various situations, an approach including SVM optimized DE was applied. role optimizer automatically determine parameters that lead lowest...
A quantitative structure–property relationships analysis applied on a large dataset of aromatic organic compounds was performed using methodology based support vector machine (SVM). The liquid‐crystalline property correlated with series structural and geometric molecular descriptors: length the rigid flexible sections, mass, an asymmetry parameter that quantifies ratio between total molecule diameter. SVM classification achieved, analyzing influence characteristic elements this tool: type...
In ophthalmology, artificial intelligence methods show great promise due to their potential enhance clinical observations with predictive capabilities and support physicians in diagnosing treating patients. This paper focuses on modelling glaucoma evolution because it requires early diagnosis, individualized treatment, lifelong monitoring. Glaucoma is a chronic, progressive, irreversible, multifactorial optic neuropathy that primarily affects elderly individuals. It important emphasize the...
This article presents new methods of predicting the liquid-crystalline behavior some copolyethers with mesogen groups in main chain, using neural networks or different categorization algorithms. The prediction properties is correlated chemical structure, type and copolymer composition, molecular weight, a series structural characteristics estimated by mechanical simulation. importance suitable choice for parameters that characterize structure emphasized, as well codification input output...
A simple self-adaptive version of the differential evolution algorithm was applied for simultaneous architectural and parametric optimization feed-forward neural networks, used to classify crystalline liquid property a series organic compounds. The developed methodology called network (SADE-NN) has following characteristics: base vector is chosen as best individual in current population, two terms participate mutation process, crossover type binomial, mechanism employed determine...
Abstract This article reports a new approach to predict the liquid crystalline behavior using three classes of machine learning algorithm: eager learners (C4.5, random tree, forest, reduced error pruning tree), lazy (k-nearest neighbor, non-nested generalized exemplars with prototypes), and neural networks. The performance analysis for these algorithms supposes calculating errors both training validation data, in order determine accuracy building model its generalization capability. A large...
Aim: To construct neural models to predict the progression of glaucoma in patients with sleep apnea. Materials and Methods: Modeling use networks was performed using Neurosolutions commercial simulator. The built databases gather information on a group primitive open-angle normal-tension glaucoma, who have been associated apnea syndrome various stages disease severity. data within database were divided as follows: 65 used network training stage 8 kept for validation stage. In total, 21...
Drying coffee grounds involves high energy consumption and represents an important step in using waste materials as green energy. This study analyzes the drying process thermogravimetric analysis. The kinetics of grounds, containing equal proportions Arabica Robusta, were evaluated under isothermal conditions at various temperatures: 50, 60, 70, 80°C, with sample layer thicknesses 0.6, 1.2, 1.8, 2.4 mm. curves obtained for samples constant temperature allowed tracing (moisture content—drying...
In the brick manufacturing industry, there is a growing concern among researchers to find solutions reduce energy consumption. An industrial process for obtaining bricks was approached, with mix modified via introduction of sunflower seed husks and sawdust. The analyzed artificial intelligence tools, goal minimizing exhaust emissions CO CH4. Optimization algorithms inspired by human virus behaviors were applied in this approach, which associated neural network models. A series feed-forward...
Caffeine and theophylline are compounds with important applications in the pharmaceutical industry other fields of chemical industry. These purine derivatives have simple structures, therefore, evaluation their sublimation process contributes to development mass transfer analysis methods that can later be applied more complex structures. With help thermogravimetric isothermal conditions, kinetic study caffeine theophylline, along parameters (activation energy pre-exponential factor), was...
Most of the time, industrial brick manufacture facilities are designed and commissioned for a particular type mix burning process. Productivity product quality maintenance improvement is challenge process engineers. Our paper aims at using machine learning methods to evaluate impact adding new auxiliary materials on amount exhaust emissions. Experimental determinations made in similar conditions enabled us build database containing information about 121 batches. Various models (artificial...
Knowing the thermodynamic and transport properties of liquid systems is very important in engineering for development theoretical models design new technologies. Models that allow accurate predictions are needed chemical calculations involving fluid, heat, mass transfer. In this study, modeling viscosity deviation binary ternary containing benzyl alcohol, n-hexanol, water, less studied literature, was carried out using Redlich Kister (R-L) models, multiple linear regression (MLR) artificial...
N-propanol and toluene are frequently used as organic solvents in paints, varnishes, lacquers, glues, fuels, antifreeze, degreasing, cleaning agents, inks, pharmaceutical products, laboratory processes.In spite of their wide usage, these considerably toxic prolong exposure has an increase risk for cancer.Some alternatives the use availablefor instance water based emulsions.Distillation, most widespread technique separating liquid mixtures, is particular chief separation method petroleum...