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AREAS OF RESEARCH - Coggle Diagram

- - - - RELATED WORKS
        
        POSSIBLE PROJECT/S
        
        "RelevaGenius: AI-Powered Precision for Marketing Success"
        
        KEY CONCEPTS
        
        Product Rating/Review
        
        Customer Feedback
        
        Sold Products Tally
        
        E-COMMERCE PRODUCT RATING
        
        CUSTOMER EXPERIENCE TRACKER
        
        Unified Connect: Your All-in-One Messaging Application
        
        RELATED WORK
        
        Pawade, D., Mohandas, A., Yadav, V., Bhimprasad R., Bagrao, P. (2015). Implementation of All-In-One Instant Messaging Application. i-manager's Journal on Mobile Applications and Technologies.
        
        . The main goal of the paper is to
        develop an application which is user friendly and efficient to use
        
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        Key Concepts
        
        Unified inbox for all messaging platforms
        
        View messages from different applications in one
        
        Search, Snooze, Archive Messages
        
        Verma, P., & Sharma, S. (2021). Artificial Intelligence-based Recommendation System.
        
        In the fields of e-commerce websites, online shopping, dating apps, social networking, digital marketing, online advertisements, etc., recommendation systems have shown to be quite vital as to providing personalized recommends and feedback to users according to their preferences and choices.
        
        Collaborative filtering, content-based recommendation systems, hybrid systems, artificial neural networks, swarm intelligence, evolutionary computing, fuzzy sets, and other methods are some of the many approaches available for building recommendation systems that can be tailored to an individual's needs. These methods will be touched upon in this report, but our main focus will be on the Collaborative Filtering approach and its challenges, including cold start, sparsity, scalability, and others.
        
        Qadir, T. O., Taujuddin, N. S. A., Khan, S., & Mubashar, M. (2023). E-commerce system for e-commerce business: A case study. Quantum Journal of Social Sciences and Humanities.
        
        Uncover essential design aspects that have a significant impact on e-commerce application performance.
        
        Investigates the links between specific design aspects, actual service, and e-commerce system end achievement.
        
        The study found that the information phase, out of all the transaction stages, had the greatest impact on the base productivity of e-commerce systems.
        
        Product-related information, depth and variety of the system structure, variety of product list view, consistency of product and background presentation, and variety of product information presentation were all found to be closely related to the perceived quality level among the innumerable design factors related to the information phase.
  - - - RELATED WORKS
        
        Moran, B. B., & Morner, C. B. (2018). Library and Information Center Management.
        
        Libraries and information center staff encounter change very day. Managers realize that for the success of good information services in this dynamic, demanding environment, it is necessary to make changes so that the organization will continue to prosper and fulfill its mission
        
        KEY CONCEPTS
        
        Collection Development
        
        Circulation Management
        
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        Cataloging and Classification
        
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        User Services
        
        Sugashini, K., Santhosh, S., Yokeshwar, P., & Ghuru, K. (2023). Library Management System. International Journal for Research in Applied Science and Engineering Technology,
        
        The library management system plays a crucial role in the organization and accessibility of a wide variety of information resources in contemporary educational and cultural organizations. The enhanced Library Management System (LMS) described in this abstract is intended to improve the functionality and efficiency of library operations. Modern technologies are included into the suggested system to automate and streamline various library management operations. It includes functions including friendly user interfaces for administrators and clients, automated resource cataloging and indexing, real-time availability tracking, and tailored suggestions for users.
- - - - RELATED WORKS
        
        Lunney, A., Cunningham, N., & Eastin, M. S. (2016). Wearable fitness technology: A structural investigation into acceptance and perceived fitness outcomes. Computers in Human Behavior,
        
        Wearable fitness technologies (WFT) track physical activity, such as steps taken, calories burned and workout intensity, through a device that is typically worn at all times. While the market for WFT devices continues to grow, current theoretical understanding of adoption is lacking. Thus, in an attempt to extend the Technology Acceptance Model (TAM), the current study employs a structural equation model to increase current understanding of wearable technology use.
        
        KEY CONCEPTS
        
        Activity Tracking
        
        GPS and Steps Tracking
        
        Heart Rate Monitoring
        
        Goal Setting and Monitoring
        
        De Moraes Lopes, M. H. B., Ferreira, D. D., Ferreira, A. C. B. H., Da Silva, G. R., Caetano, A. S., & Bráz, V. N. (2020). Use of artificial intelligence in precision nutrition and fitness.
        
        Computer systems that have a certain degree of intelligence and human/expert independence to infer about the preexisting data, in order to support the decision, could be useful, since the data generated require rapid and reliable analysis from a large number of variables. Among the available computational tools, artificial intelligence (AI) has gained more and more attention recently, since it is able to learn and model linear and nonlinear relationships between variables by constructing an input-output mapping such that hidden and extremely useful information for decision-making is revealed and interpreted.
        
        This chapter provides a discussion about the importance of nutrition and fitness for health and well-being; what is precision medicine, AI, precision nutrition, and precision fitness; how AI could help with precision nutrition and precision fitness; decision-making algorithm for nutritional meal planning/dietary menu planning; AI-based diet and supplements; AI used in genetic tests for precision nutrition and fitness;
- - - - Mukherjee, S., Dolui, K., Datta, S.K. Patient health management system using e-health monitoring architecture. (2014).
        
        This paper illustrates the design and implementation of an e-health monitoring networked system. The architecture for this system is based on smart devices and wireless sensor networks for real time analysis of various parameters of patients. This system is aimed at developing a set of modules which can facilitate the diagnosis for the doctors through tele-monitoring of patients.
        
        It also facilitates continuous investigation of the patient for emergencies looked over by attendees and caregivers. A set of medical and environmental sensors are used to monitor the health as well as the surrounding of the patient. This sensor data is then relayed to the server using a smart device or a base station in close proximity.
        
        The doctors and caregivers monitor the patient in real time through the data received through the server. The medical history of each patient including medications and medical reports are stored on cloud for easy access and processing for logistics and prognosis of future complications. The architecture is so designed for monitoring a unitary patient privately at home as well as multiple patients in hospitals and public health care units. Use of smartphones to relay data over internet reduces the total cost of the system. We have also considered the privacy and security aspects of the system keeping the provision for selective authority for patients and their relatives to access the cloud storage as well as the possible threats to the system. We have also introduced a novel set of value added services through this paper which include Real Time Health Advice and Action (ReTiHA) and Parent monitoring for people with their family living abroad.
      - Zaabar, B., Cheikhrouhou, O., Jamil, F., Ammi, M., & Abid, M. (2021). HealthBlock: A secure blockchain-based healthcare data management system. Computer Networks,
        
        The security and privacy of electronic healthcare records (EHRs) remain a critical issue for both healthcare services consumers and providers. Breaching a healthcare system causes the disclosure of sensitive health data. This data is usually saved into centralized databases, which creates vulnerabilities and gives rise to cyber attacks.
        
        This paper proposes a new architecture that takes advantage of decentralized databases to avoid centralized storage issues. The decentralized used database for storing patient electronic health records is the OrbitDB with Interplanetary File System (IPFS). Besides, we have deployed a blockchain network built on Hyperledger fabric by using Hyperledger composer to save hashes of stored data and control access when retrieving it. The proposed Blockchain-based architecture is designed to contribute to the healthcare management systems’ robustness and to avoid recorded security limitations in commonly used systems for smart healthcare.
        
        Performance evaluation results issued from Hyperledger Caliper and comparative analysis have proved the robustness and superiority of the proposed system in terms of security and privacy requirements, key features of blockchain-based healthcare systems, and performance metrics including various throughput and latency.
        
        KEY CONCEPTS
        
        Patient Information Management
        
        Appointment Scheduling
        
        Staff and Resource Management
        
        Performance Metrics
        
        Real-time Monitoring
        
        Task Definition and Scope
        
        Billing and Financial Management
- - - - RELATED WORKS
        
        Daliri, S. (2020). Using harmony search algorithm in neural networks to improve fraud detection in banking system. Computational Intelligence and Neuroscience, 2020,
        
        Financial fraud is among the main problems undermining the confidence of customers in addition to incurring economic losses to banks and financial institutions. In recent years, along with the proliferation of fraud, financial institutions began looking for ways to find a suitable solution in the fight against fraud. Given the advanced and varied changes in methods of fraud, extensive research has been conducted to detect fraud. In this paper, the Artificial Neural Network technique and Harmony Search Algorithm are used to detect fraud. In the proposed method, hidden patterns between normal and fraudulent customers’ information are searched. Given that fraudulent behavior could be detected and stopped before they take place, the results of the proposed system show that it has an acceptable capability in fraud detection.
        
        Jiang, R., Al-maadeed, S., Bouridane, A., Crookes, D., & Beghdadi, A. (2017). Biometric Security and Privacy.
        
        KEY CONCEPTS
        
        Protect Individuals Privacy
        
        To develop ethical guidelines and policies for the responsible use of biometric data for security purposes
        
        To enhance and improve the current studies and application of biometrics
        
        Identify the ethical challenges associated with biometric data usage
        
        Detect frauds in financial systems
        
        Prevent fraudulent activities in financial systems
        
        Biometrics in modern computer science is defined as the automated use of biological properties to identify individuals. The early use of biometrics can be dated back to nearly 4000 years ago when the Babylon Empire legislated the use of fingerprints to protect a legal contract against forgery and falsification by having the fingerprints imprinted into the clay tablet on which the contract had been written. Nowadays, the wide use of the Internet and mobile devices has brought out the booming of the biometric applications, and research on biometrics has been drastically expanded into many new domains.
        
        The research trends in biometric research may be categorized into three directions. The first direction is toward the broader Internet and mobile applications. This brings out a number of new topics to utilize biometrics in mobile banking, health care, medical archiving, cybersecurity, and privacy as a service, etc. These new applications have created a huge market of billion dollars for biometric technologies and the industry needs comes back to push the research further and vigorously.
        
        The second direction is towards algorithmic development, which includes the investigation of many new AI techniques in biometrics, such as fuzzy approaches, ensemble learning, and deep learning. These new approaches can often help improve the accuracy of automated recognition, making many new applications available for business. Especially, with the vast amount of data coming from billions of users on internet/mobile, biometrics now becomes a new Big Data challenge in its streaming, processing, classification and storage.
        
        The third research direction aims at discovering more types of biometrics for various uses. Besides the conventional fingerprints and signatures, other types of biometrics (such as iris, vein pattern, gait, and touch dynamics) have been investigated in recent biometric research. Their combination as multimodal biometrics is another popular way to exploit these types of biometrics in research.