A5051966968- Anomaly Detection Techniques and Applications
- Photoacoustic and Ultrasonic Imaging
- Listeria monocytogenes in Food Safety
- Internet of Things and AI
- Neonatal and fetal brain pathology
- Advanced Neural Network Applications
- Advanced Nanomaterials in Catalysis
- Artificial Intelligence in Healthcare
- Hydrogen embrittlement and corrosion behaviors in metals
- Essential Oils and Antimicrobial Activity
- Thermography and Photoacoustic Techniques
- IoT and Edge/Fog Computing
- Fetal and Pediatric Neurological Disorders
- Welding Techniques and Residual Stresses
- Food Safety and Hygiene
- Spectroscopy Techniques in Biomedical and Chemical Research
- Advanced Welding Techniques Analysis
- Smart Grid Energy Management
- Network Security and Intrusion Detection
- Internet Traffic Analysis and Secure E-voting
- Molecular Sensors and Ion Detection
- Electrochemical Analysis and Applications
St. Joseph University In Tanzania
2022
Cerebellum measures taken from routinely obtained ultrasound (US) images have been frequently employed to determine gestational age and identify developing central nervous system’s anatomical abnormalities. Standardized cerebellar assessments large-scale clinical datasets are required investigate correlations between the growing cerebellum postnatal neurodevelopmental results. These studies could uncover structural abnormalities that be as indicators forecast growth consequences. To achieve...
The researchers investigated the efficiency of several disinfectants in reducing coliforms and Escherichia coli rates on carrots lettuce, as well using ANN to calculate bacteria edible plants. Fresh greens leaves are cleaned dried sterile water. Vaccinated leafy vegetables were immersed a vessel treated with chlorine, we choose plant extracts evaluate impact extraction. pH measurement was evaluated for both acids. After each treatment type held at 4°C 0, 1, 5, 7 days, respectively,...
Using the complementary strengths of Bayesian networks, decision trees, artificial neural networks (ANNs), and Markov models, this endeavor intends to completely revamp clinical decision-making. In order provide instantaneous access image-driven insights support systems (CDSS), want create a revolutionary framework that merges these cutting-edge methods with cloud-enabled technologies. The proposed gives comprehensive perspective patient data by merging probabilistic reasoning...
The fast advancement of biomedical research technology has expanded and enhanced the spectrum diagnostic instruments. Various groups have found optical imaging, ultrasonic magnetic resonance imaging to create multifunctional devices that are critical for activities. Multispectral photoacoustic integrates ideas technologies is one most essential At same time, early cancer identification becoming increasingly important in order minimize fatality. Deep learning (DL) techniques recently advanced...
Solar energy consumption is a systematic study used to review the design of facilities, services, and equipment in an organization against specifications solar panel. The panel analysis work that should be done at beginning energy. This way, potential changes can highlighted before they affect budget schedule. proposed model provides IOT-based smart control by using photovoltaic micro grid. IOT must meet product process requirements. properly address important aspects production processes....
Rapid advancements in the technology and telecommunication areas have led to a massive expansion of network density information. As consequence, numerous intruder assaults are being attempted, making it difficult for cybersecurity identify intruders effectively. The increasing amount traffic data has poses major problem conventional intrusion detection systems. Moreover, with intent launching various inside networks could not be overlooked. classification article is based on DL methodologies...
Ag is abundant in nature and employed practically every aspect of life. Furthermore, Ag+ contamination poses a severe hazard to human environmental health due the extensive usage products. Traditional detection techniques include drawbacks such as high operational costs, sophisticated operating units instruments, strong technical demands. The use fluorescence copper nanoparticles pollution has received lot attention recent times. development detecting are major topics this research....