- Mobile Ad Hoc Networks
- Artificial Intelligence in Healthcare
- Opportunistic and Delay-Tolerant Networks
- Network Security and Intrusion Detection
- Web Data Mining and Analysis
- Mobile Agent-Based Network Management
- Brain Tumor Detection and Classification
- Cloud Data Security Solutions
- Face and Expression Recognition
- Online Learning and Analytics
- Speech Recognition and Synthesis
- Speech and Audio Processing
- Machine Learning in Bioinformatics
- Hemoglobinopathies and Related Disorders
- Machine Learning in Healthcare
- Service-Oriented Architecture and Web Services
- Vehicular Ad Hoc Networks (VANETs)
- Healthcare Operations and Scheduling Optimization
- Cloud Computing and Resource Management
- Algorithms and Data Compression
- Genetics, Bioinformatics, and Biomedical Research
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Machine Learning and ELM
- Traditional Chinese Medicine Studies
Deenbandhu Chhotu Ram University of Science and Technology
2024
Institute of Management Technology
2024
University of Jammu
2005-2024
Johnson University
2022-2023
Rutgers, The State University of New Jersey
1995-2023
Rutgers Sexual and Reproductive Health and Rights
2022-2023
Lovely Professional University
2019-2022
All India Institute of Medical Sciences Rishikesh
2022
All India Institute of Medical Sciences
2021-2022
United States Department of Energy
2021
Because they do dangerous treatments that are hard to do, surgeons very connected both medical science and the law. The law side of surgery covers a lot ground, from getting permission patient professional standards malpractice moral questions. All this help spell out what patients experts can can't legally. This study carefully looks into how affect each other. basic ideas informed consent looked at, along with role carelessness safety becoming more important in settings. Patients need give...
Indexing in search engines has been an active area of current researches.The main aim is to provide most relevant documents the users minimum possible time.So granting efficient and fast accesses index a major issue for performances Web Search Engines.Indexing performed on web pages after they have gathered into repository by crawler.The existing architecture engine shows that built basis terms document consists array posting lists where each list associated with term contains as well...
In the online education field, Massive open courses (MOOCs) have become popular in recent years. Educational institutions and Universities provide a variety of specialized that helps students to adapt with various needs learning preferences. Because this, institutional repositories creates preserve lot data about students' demographics, behavioral trends, academic achievement every day. Moreover, significant problem impeding their future advancement is high dropout rate. For solving this...
Universum based learning provides prior information about data in the optimization problem of support vector machine (SVM). twin (UTSVM) is a computationally efficient algorithm for classification problems. It solves pair quadratic programming problems (QPPs) to obtain classifier. In order include structural risk minimization (SRM) principle formulation UTSVM, we propose an improved universum (IUTSVM). Our proposed IUTSVM implicitly makes matrices non-singular by adding regularization term....
Network merges and partitions occur quite often in MANET wherein address auto-configuration is a critical requirement. There are various approaches for MANETs which allocate to the nodes dynamic distributed manner HOST ID assigned on basis of their Base value. employing Cluster Based Routing Protocol require node be as Head (CH). This paper presents Election Algorithm assigns its weight. Through simulation using NS-2, it has been shown that improves packet delivery ratio (PDR) significantly...
In the last couple of decades, engineers, neuroscientists and psychologists have turned their attention to face recognition by humans computer vision systems. Images different complexities been tested with a variety methods. The goals each research vary, as vary applications. We present neural method recognizing faces using features obtained from compression these extracted fea ti tres are used inputs feedforward network. network is trained backpropagation ALOPEX. Different types featicre...
Web usage mining has assumed importance in learning about user's behavior and user interactions with the Website. It uses data techniques to discover non-trivial patterns. These patterns can then be used make predictions of next page accessed by user. This paper proposes a novel approach for preprocessing wherein rough set clustering is applied form clusters sessions. sessions could later on knowledge base rules basis which prefetched.
Mobile Ad-Hoc Network (MANET) is a dynamic, multi-hop and autonomous network composed of light wireless mobile nodes.Multicast has great importance in MANET due to their inherent broadcast capability.However, the dynamic topology MANETs build optimal multicast trees maintaining group membership lot many control messages required.These overhead consume node resources like power links bandwidth that creates hurdle implementing energy assurance reduced protocol for Ad hoc Networks (MANET).This...
Multicast plays an important role in implementing the group communications bandwidth scarce multihop mobile ad hoc networks. However, due to dynamic topology of MANETs it is very difficult build optimal multicast trees and maintaining membership, making even more challenging implement scalable robust Mobile Ad Networks (MANET). A energy efficient location aware algorithm, called SEELAMP, for networks presented paper that based on creation shared tree using physical nodes sessions. It...
To reduce the likelihood of transmission infection to health-care workers (HCWs), personal protective equipment is used. However, wearing (PPE) increases risk heat stress and loss dexterity, leads poor compliance PPE. address issues PPE, it was necessary gain a deeper understanding about factors that influence compliance. Thus this qualitative study planned explore barriers faced by HCWs while using PPE during pandemic situation in tertiary care hospital, Uttarakhand, India.A exploratory...
Heart disease has reached to the number one position in last decade terms of mortality rate, and more wretchedly, heart attack affected life 80% cases. Cardiac arrest is an incurable incongruity that requires special treatment cure. It been a key research area for many years, researchers across globe devoted toward finding optimal solution avoid ill-effect this disease. Along with predicting disease, if focus moves towards prevention as well, then could result major saver masses. This work...
Due to the explosion in size of WWW [1,4,5] it becomes essential make crawling process parallel.In this paper we present an architecture for a parallel crawler that consists multiple processes called as C-procs which can run on network workstations.The proposed is scalable, resilient against system crashes and other event.The aim efficiently effectively crawl current set publically indexable web pages so maximize download rate while minimizing overhead from parallelization
Effective congestion control in MANET is a daunting task due to the complex nature of topology and heterogeneity nodes being communicated having capacity process. This paper presents updated approach Adhoc On-Demand Multipath Distance Vector Routing for management. In suggested solution, source selects better neighbor node from several neighbors that have enough queue size participate routing addition efficient monitoring congestion, congested initiates warning message route reply queue....
AbstractManet is a collection of wireless, mobile, dynamic, and arbitrarily located nodes. Such infrastructure-less networks use multicast routing protocols to manage random uncertain events like disaster recovery, crowd control, the like. The existing suffer from many drawbacks. We discuss protocol that overcomes these drawbacks, called Moment Node Transition Awareness Protocol (MOMENTAP), in general terms algorithmic details its components.
Simulating detailed flow through emergency departments (ED) has been a long-standing issue. By studying the behavior of bottleneck resource, physicians, we have identified key factors to include in simulation that allowed us create an extremely accurate model specific ED. The impact these was evaluated several performance measures We conclude it is important consider inclusion physician behaviors when simulating ED wait times.