A5078466020- IoT-based Smart Home Systems
- COVID-19 diagnosis using AI
- Image Processing Techniques and Applications
- Medical Image Segmentation Techniques
- Solar Thermal and Photovoltaic Systems
- Advanced Steganography and Watermarking Techniques
- Neonatal and fetal brain pathology
- Augmented Reality Applications
- COVID-19 Clinical Research Studies
- Phase Change Materials Research
- Infrared Target Detection Methodologies
- Fetal and Pediatric Neurological Disorders
- Solar Radiation and Photovoltaics
- Advanced Vision and Imaging
- IoT Networks and Protocols
- Medical Imaging Techniques and Applications
- Smart Agriculture and AI
- Quantum Dots Synthesis And Properties
- Energy Load and Power Forecasting
- Wireless Networks and Protocols
- AI in cancer detection
- Indoor and Outdoor Localization Technologies
- Geochemistry and Geologic Mapping
- Hate Speech and Cyberbullying Detection
- Industrial Vision Systems and Defect Detection
Jeppiaar Engineering College
2022
When it comes to large-scale renewable energy plants, the future of solar power forecasting is vital their success. For reliable predictions electricity generation, one must take into consideration changes in weather patterns over time. In this paper, a hybrid model that integrates machine learning and statistical approaches suggested for predicting generation. order improve accuracy model, an ensemble models was used study. The results simulation show proposed method has reduced placement...
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 use of phase change materials (PCM), a type heat transfer thermal storage substance, shows the opportunity to enhance inertia these structures lacking significantly altering present construction methods. Because decreased indoor temperature swings and load reduction, usage PCMs in buildings has potential deliver higher temperatures for inhabitants as well weaker export power consumption. Thermal energy (TES) systems based on material (PCM) is identified among most enhanced techniques...
These days, safety concerns are universal. A house, a factory, bank, and so on all things that virtually everyone desires. In today's world, when more people have easier access to various resources, it is increasingly vital ensure one has safe place live. There must be way keep us secure since the daily rise in crime rates demands it. We're aware there sophisticated security systems out there, but unfortunately, they're of reach for lot people. Trespassing, intrusion, other forms illegal...
Manual inspection of fruit surface defects is time consuming, involves labour cost, prone to human error and possess inconsistent classification standards in sorting application. To solve this issue, an automatic algorithm using deep learning technique was proposed identify namely splitting, pitting, stem-end rot found mandarin fruits. The consists K-Medoids segmentation Convolutional Neural Network (CNN) model. grayscale images were captured from image acquisition system built with Near...
When fundamental analysis is applied to a satellite picture, it basically sophisticated image. Satellite technology breakthroughs and low-cost rocket launches have made possible capture high-resolution photographs of the whole planet in near-real time. Human observers can't analyze vast amounts images manually because it's too time-consuming, costly, labor-intensive. A lack precision forecast speed present computer vision research critical concern for time-sensitive, automated industrial...
While old techniques are time-consuming and inefficient, recent years have seen a rise in the importance of student attendance as reflection academic accomplishments effectiveness provided to any university. Recently, however, variety automated identifying technologies, such Radio Frequency Identification (RFID), gained popularity (RFID). Many studies applications being developed make most this technology, which raises certain ethical questions. RFID, or radio-frequency identification, is...
Now-a-days, Breast Cancer is a serious cause in world and it raises death ratio drastic manner. Most of the women are suffered due to this kind breast cancer disease, which several literatures available regarding identification, but all strucked over certain level. Lots researchers industry providing different digital image processing schemes identify clear manner save lives with real prediction scenarios. For identification mammography well-known technique, screens cells However, based on...
Positron Emission Tomography (PET) is suggested for its high potential Deep Learning (DL) diagnostic imaging with a profound learning approach. The network training done using clear images but reconstructing the low resolution Poisson operation. In Convolutional Neural Networks (CNN) at default noise level, major issue their generic applicability level discrepancy. varies considerably in each iteration reduces overall efficiency. results and measured efficiency loss different environments...
Corona Virus or Covid-19 Disease, a term which creates mass affection to all the countries in both Human life as well economy wise. This disease causes huge destruction many person's individual and most of people around world died due this cause. Several assessments researches are going on predict fine manner identify over earlier stages save without any delay. However, prominent acceptable way predicting is by using Lung Computed Tomography (CT) images. The based CT images provides support...