A5056178502- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Digital Imaging for Blood Diseases
- Music and Audio Processing
- Topic Modeling
- Advanced Malware Detection Techniques
- ICT in Developing Communities
- Natural Language Processing Techniques
- AI in Service Interactions
- Internet of Things and AI
- Phonocardiography and Auscultation Techniques
- IoT and Edge/Fog Computing
- Digital Radiography and Breast Imaging
- Non-Invasive Vital Sign Monitoring
- Speech Recognition and Synthesis
- Internet Traffic Analysis and Secure E-voting
- Network Security and Intrusion Detection
- ECG Monitoring and Analysis
Swami Ramanand Teerth Marathwada University
2022-2024
Mahatma Gandhi Mission Medical College and Hospital
2021
Albaydha University
2021
Breast cancer, which attacks the glandular epithelium of breast, is second most common kind cancer in women after lung and it affects a significant number people worldwide. Based on advantages Residual Convolutional Network Transformer Encoder with Multiple Layer Perceptron (MLP), this study proposes novel hybrid deep learning Computer-Aided Diagnosis (CAD) system for breast lesions. While backbone residual network employed to create features, transformer utilized classify according...
Early detection of breast cancer is an essential procedure to reduce the mortality rate among women. In this paper, a new AI-based computer-aided diagnosis (CAD) framework called ETECADx proposed by fusing benefits both ensemble transfer learning convolutional neural networks as well self-attention mechanism vision transformer encoder (ViT). The accurate and precious high-level deep features are generated via backbone network, while used diagnose probabilities in two approaches: Approach A...
The examination, counting, and classification of white blood cells (WBCs), also known as leukocytes, are essential processes in the diagnosis many disorders, including leukemia, a kind cancer characterized by uncontrolled proliferation carcinogenic leukocytes marrow bone. Blood smears can be chemically or microscopically studied to better understand hematological diseases disorders. Detecting, identifying, categorizing cell types for disease therapy planning. A theoretical practical issue....
Internet of Things (IoT) devices are expected to number about 3.5 billion by 2023.; a tremendous amount data that is generating estimated exceed 79.4 zettabytes 2025. Security challenges will become an increasingly significant issue, especially in smart homes depend entirely on IoT devices. Due the weak infrastructure IoT, it vulnerable various types cyber-attacks. The most common attacks distributed denial service (DDoS). Most traditional security solutions, like intrusion detection systems...
In this paper, we have developed an android facilitation application that intended Arabic foreigners who come to the Republic of India for study, treatment, or tourism purposes. They may need help due difference in some languages. Also, they lack knowledge places and how move find difficulties social services. Therefore, study aimed solve problem, assistance, guidance are new arrivals even pre-residents India. The data Indian city Aurangabad was collected filled as a primitive sample terms...
Patient monitoring has become one of the most popular studies and is interest to many researchers worldwide due development growth healthcare technologies. People in rural areas face multiple diseases issues distance, lack doctors, medical treatment for patients. One best solutions these remote patient monitoring. This paper proposes a real-time system based on Internet Things that can monitor basic vital signs patient, such as body temperature, heartbeat rate, blood pressure. The core...