Character Recognition Using Pre-Trained Models and Performance Variants Based on Datasets Size: A Survey

The most efficient and beneficial mechanism to the feature of extracting data from an image, has been the Convolutional Neural Network (CNN) and it is used in many fields (Optical character recognition, image classification, object recognition and Facial recognition etc.). In this papier, we studied the character classification problems, using pre-trained models based on Convolutional Neural Network (CNN), and how the performance can change the outcome of dataset that is given. For that, we have used five pre-trained models’ such as VGG16/19, ResNet, Xception et MobileNet. The experiment shows that Xception had the best performance rate compared to other models for all datasets, VGG16/19 performance rate are variants depend on dataset. However, Experiments shows that ResNet achieve the worst accuracy rate compared to other methods

Removal of Amoxicillin from an Aqueous Solution by Activated Carbon Prepared from Biomass

Amoxicillin type Amox-500 is a β-lactam antibiotic belonging to the penicillin family, used to treat infections caused by bacteria. This drug has been, purified by the slow recrystallization method and characterized by RAMAN. The treatment of antibiotic-laden effluent is of interest for environmental protection, which is why the field of wastewater treatment is essential for the protection of our environment. In our research, we studied the elimination of amoxicillin as a trace pollutant in untreated wastewater discharges in an aqueous solution prepared in the laboratory, using activated carbon made from banana peel. We also showed the presence of these pharmaceutical pollutants (amoxicillin and paracetamol) in wastewater from the Dradeb area of the city of Tangier in Morocco. In this research, we took advantage of the use of activated carbon, which has been, previously treated in our laboratory for a study, which is, published [Abdellah Touijer et al, 2023]. The amount of amoxicillin adsorption is influenced by various operating parameters, and with the help of a parametric study, we have deduced the best conditions from these parameters to promote good amoxicillin adsorption yield. The amount adsorbed at equilibrium increases proportionally with amoxicillin concentration, and equilibrium is reached after the first 20 min. The maximum equilibrium amoxicillin adsorption capacity (qe) is 35mg/g for PBC600 (banana peel carbonized at 600°C for 60 min) and PBC700 (banana peel carbonized at 700°C for 60 min), and 25mg/g for PBC500 (banana peel carbonized at 500°C for 60 min). Under the following operating conditions: C0=20mg/l, temperature 20±5°C, pH=6 lower than pHpzc, adsorbent/adsorbat ratio 0.5mg/ml, stirring time 45min. The best adsorption efficiency was 85.2% for PBC700, 79.31% for PBC600 and 12.47% for PBC500, indicating that the amount of amoxicillin adsorbed at equilibrium is proportional to the carbonization temperature. The theoretical study of the adsorption isotherm of amoxicillin on activated carbon prepared from banana peel shows that the Langmuir, Freundlich and Temkin models describe this adsorption phenomenon well, similar to the experimental results. Adsorption of amoxicillin follows a pseudo-second-order kinetic model

Additional file 1: DATA EXCEL. of Expression of human epidermal growth factor receptor 2 in bladder urothelial carcinoma

data generated/analysed during the study. (XLSX 13 kb