A5029896296- Artificial Intelligence in Healthcare
- Mobile Agent-Based Network Management
- Machine Learning in Healthcare
- Advanced Optical Network Technologies
- Cloud Computing and Resource Management
- Imbalanced Data Classification Techniques
- Distributed and Parallel Computing Systems
- IoT and Edge/Fog Computing
- Network Traffic and Congestion Control
- IoT-based Smart Home Systems
- Software-Defined Networks and 5G
- Topic Modeling
- Peer-to-Peer Network Technologies
- Optical Network Technologies
- Cloud Data Security Solutions
- Interconnection Networks and Systems
- AI in cancer detection
- Software System Performance and Reliability
- Network Security and Intrusion Detection
- IPv6, Mobility, Handover, Networks, Security
- Cardiovascular Health and Risk Factors
- Customer churn and segmentation
- Graph Theory and Algorithms
- Cryptographic Implementations and Security
- Advanced Wireless Network Optimization
Nitte University
2023-2025
Computer Algorithms for Medicine
2023
M S Ramaiah University of Applied Sciences
2021
Cisco Systems (Netherlands)
2016
Huawei Technologies (France)
2016
Mangalore Institute of Oncology
2013
Illinois Institute of Technology
2003
AT&T (United States)
1986
Many healthcare sectors generate huge amount of data every day. To determine the risk various chronic conditions, collected can be correctly analyzed using machine learning algorithms. Using algorithms, Health care analytics predicts presence or absence disease and detects diseases. will improve patient medical practitioners' decision-making process by performing early detection process. Stacking is a meta-learning-based transfer approach that combines The advantage layered generalization it...
As a popular topic, indoor positioning has gradually drawn the attention of both academia and business. Numerous location based services including healthcare, repository tracking, security call for accurate estimation. An estimation might be achieved by using additional location-sensing equipment, but this is not generally done because it would result in expensive brand specialization. A flexible affordable determination technique that exploits already-existing WLAN infrastructure spaces...
Customer churn analysis is regarded as a crucial indicator that determines the revenues and profitability of organisation in modern day due to advancement technology business models. Regardless company's size including startups, it relevant all sectors, mainly because 65% revenue comes from its current clients. The aim customer identify clients most likely leave existing organisation. In order accurately predict banking industry, this research aims develop an optimized deep neural network...
The banking sector has advanced in recent years. Thus, there is an increase the demand for bank loans. must distribute and sell each of limited number available slots to a select group people. As result, usual stage identify who will be unable return loan prove more trustworthy option bank. In order save time costs, proposed paper machine learning based approach introduced reduce risk involved with finding safe individual. decide whether or not grant someone loan, this presents method...
<p>The incidence of Lung Cancer (LC) is rising in India. LC has been diagnosed and detected numerous times utilizing data processing identification strategies. Since the underlying origin still unknown, treatment hopeless, making early diagnosis lung tumors only viable option. So, a Machine Learning (ML) Deep (DL) based system utilized to categorize CT scans for existence LC. The Visual Geometry Group (VGG-16) Multi-Class Support Vector (VGG-16+MSVM) technique proposed this research....
Purpose Chronic diseases are considered as one of the serious concerns and threats to public health across globe. Diseases such chronic diabetes mellitus (CDM), cardio vasculardisease (CVD) kidney disease (CKD) major responsible for millions death. Each these is a risk factor other two diseases. Therefore, noteworthy attention being paid reduce A gigantic amount medical data generated in digital form from smart healthcare appliances current era. Although numerous machine learning (ML)...
Big data is a collection of massive amount whose characteristics exceeds the capabilities conventional algorithm and techniques to derive useful value. The real power lies not just in having colossal but what insights can be drawn from this facilitate better faster decisions. Hadoop Map Reduce emerged as powerful cost effective open source framework for processing large set distributed computing environment. load imbalance, which occurs while Data common problem with reduces efficiency...