A5103268700- AI in cancer detection
- Cervical Cancer and HPV Research
- Artificial Intelligence in Healthcare
- Radiomics and Machine Learning in Medical Imaging
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Management and Research
- Digital Imaging for Blood Diseases
- Smart Systems and Machine Learning
- Brain Tumor Detection and Classification
- Face recognition and analysis
- IoT and Edge/Fog Computing
- Blood donation and transfusion practices
- Rice Cultivation and Yield Improvement
- Endometrial and Cervical Cancer Treatments
- Spectroscopy and Chemometric Analyses
- Face and Expression Recognition
- COVID-19 diagnosis using AI
- Generative Adversarial Networks and Image Synthesis
- Smart Agriculture and AI
- Machine Learning in Healthcare
- Speech and dialogue systems
- Traditional Chinese Medicine Studies
- Advanced Bandit Algorithms Research
- Energy Efficient Wireless Sensor Networks
- Advanced Image Fusion Techniques
University of Jammu
2015-2024
Cervical cancer poses a significant global health burden, affecting women worldwide. Timely and accurate detection is crucial for effective treatment improved patient outcomes. The Pap smear test has long been standard cytology screening method, enabling early diagnosis. However, to enhance quantitative analysis refine diagnostic capabilities, precise segmentation of the cervical cytoplasm nucleus using deep learning techniques holds immense promise. This research focuses on addressing...
This paper presented a brief introduction along with various wireless standards which provide an interactive way of interaction among the vehicles and provides effective communication in VANET. Security issues such as confidentiality, authenticity, integrity, availability non-repudiation, aims to secure between vehicle-to-vehicle (V2V) vehicle-to-infrastructure (V2I). A detailed discussion analysis possible attacks based on security services are also that address privacy concern VANETs....
Agriculture sector is backbone of Indian Economy .However in India facing severe problem maximising the crop productivity. Farmers lack basic knowledge nutrient content soil, selection best suited for soil and they also efficient method prediction well advance so that appropriate methods can be used to improve productivity make arrangements storage, marketing before harvest. This work presents an approach which uses different Machine Learning techniques order predict category yield based on...
Student attendance in a large classroom is difficult to handle hands-on way. Due the very huge number of students present during class they always have chance for representative arrive. Marking traditional ways has been challenge. However, these procedures are not much reliable. In this study an automated logging and management system being proposed with help face detection recognition methods. This research concerns improving that uses technology record student attendance. The intended make...
The Online Blood Donation Management System, the purpose of which is to act as a bridge between person who needs blood, patient, and blood donor. design an automatic system has become integral part for saving human lives, need under different situations. Since, there are various drawbacks pre-existing like privacy issues donors, getting reflected directly on interface. Thus, we have designed robust that will create connection hospitals, NGOs, banks help patient in any difficult situation....
The image analysis is an important and predominant task for classifying the different parts of image. complex like histopathological define a crucial factor in oncology due to its ability help pathologists interpretation images therefore various feature extraction techniques have been evolved from time such analysis. Although deep reinforcement learning new emerging technique but very less effort has made compare paper highlights how both differ discusses potential pros cons. use Convolution...
The primary objective of this research work is to develop a novel benchmark database digitized and calibrated, cervical cells obtained from slides Papanicolaou smear test, which done for screening cancer. This can serve as potential tool designing, developing, training, testing validating various artificial intelligence-based systems prognosis cancer by characterization classification images. also be used other researchers comparative analysis working efficiencies machine learning image...
There has been a surge in the development of dialogue generation systems also called chatbots Recent years. Research on sequence-to-sequence architectural led to number efficient and adaptive chatbots. Several them worked goal-oriented chatbots, some open domain others developed emotional CheerBots that respond people's emotions. Be it IT field or Education, these Dialogue have proven their worth every industry. This paper discusses, proposal SEQ2SEQ architecture-based chatbot uses...