Papers by TAGNE POUPI THEODORE ARMAND
OAlib, 2024
The future project environment is expected to remain increasingly complex and ambiguous. This req... more The future project environment is expected to remain increasingly complex and ambiguous. This requires project delivery leaders to develop and grow their cognitive proficiency and expertise persistently. For majority of the involved project delivery leaders, the project complexity is a lived experience. In this conceptual study, we used phenomenological examination of project leaders' coping mechanisms on the challenges of complex project delivery to produce cognitive model and guiding principles for the navigation of project complexity in practice. To navigate the analysis and interpretation of the data, the study used the Understanding, Perception and Action Taken (UPA) model, a three-fold knowledge structure, developed with a rationale that if complexities in projects are better understood by project participants, it often creates the foundations for other actions to be taken. The results provide understanding of project delivery leaders' perceptions of project complexity and ability to assess it for a given project. The full outcome are principles suitable for navigating and managing complexity. The results of this study can assist complex project delivery leaders to develop greater insight into optimal management of increasingly complex projects.
Nutrients, Apr 6, 2024
In industry 4.0, where the automation and digitalization of entities and processes are fundamenta... more In industry 4.0, where the automation and digitalization of entities and processes are fundamental, artificial intelligence (AI) is increasingly becoming a pivotal tool offering innovative solutions in various domains. In this context, nutrition, a critical aspect of public health, is no exception to the fields influenced by the integration of AI technology. This study aims to comprehensively investigate the current landscape of AI in nutrition, providing a deep understanding of the potential of AI, machine learning (ML), and deep learning (DL) in nutrition sciences and highlighting eventual challenges and futuristic directions. A hybrid approach from the systematic literature review (SLR) guidelines and the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines was adopted to systematically analyze the scientific literature from a search of major databases on artificial intelligence in nutrition sciences. A rigorous study selection was conducted using the most appropriate eligibility criteria, followed by a methodological quality assessment ensuring the robustness of the included studies. This review identifies several AI applications in nutrition, spanning smart and personalized nutrition, dietary assessment, food recognition and tracking, predictive modeling for disease prevention, and disease diagnosis and monitoring. The selected studies demonstrated the versatility of machine learning and deep learning techniques in handling complex relationships within nutritional datasets. This study provides a comprehensive overview of the current state of AI applications in nutrition sciences and identifies challenges and opportunities. With the rapid advancement in AI, its integration into nutrition holds significant promise to enhance individual nutritional outcomes and optimize dietary recommendations. Researchers, policymakers, and healthcare professionals can utilize this research to design future projects and support evidence-based decision-making in AI for nutrition and dietary guidance.
The Benefits of Integrating AI, IoT, and Blockchain in Healthcare Supply Chain Management: A Multi-Dimensional Analysis with Case Study
Enhanced Experiences: Benefits of AI-Powered Recommendation Systems
Today, information technology has brought various innovations and developments in almost every fi... more Today, information technology has brought various innovations and developments in almost every field of advancement. Recommendation Systems (RS) have achieved a significant milestone in the service business during the information systems era. Regarding online services, RS has been crucial in enhancing product availability and offering prospective customers a wider range of luxurious options. Conversely, online retailers face increasing their sales volume and achieving greater product prices than their rivals. One solution is to use recommendation systems that leverage artificial intelligence (AI) to provide personalized recommendations to users. These systems employ machine learning algorithms to examine user data, including search history, purchasing patterns, and preferences, to anticipate the products that consumers are most likely to be interested in. AI-powered recommendation systems have demonstrated their immense value as tools for decision-making, enhancing user experience, and fostering corporate success. This comprehensive review explores the multifaceted world of recommendation systems, delving into their mechanisms, applications, and transformative impact across diverse domains. From e-commerce to content streaming and beyond, these systems have redefined how we discover, choose, and engage with products, content, and services.
Overview of the Potentials of Multiple Instance Learning in Cancer Diagnosis: Applications, Challenges, and Future Directions
Vision Transformer-based Model for Gastric Cancer Detection and Classification using Weakly Annotated Histopathological Images
Classifying Gastric Cancer Carcinoma Stages with Deep Semantic Features and GLCM Texture Features
Transformers Effectiveness in Medical Image Segmentation: A Comparative Analysis of UNet-Based Architectures
Optimizing longevity: Integrating Smart Nutrition and Digital Technologies for Personalized Anti-aging Healthcare
Journal of personalized medicine, Feb 27, 2024
Diet management has long been an important practice in healthcare, enabling individuals to get an... more Diet management has long been an important practice in healthcare, enabling individuals to get an insight into their nutrient intake, prevent diseases, and stay healthy. Traditional methods based on self-reporting, food diaries, and periodic assessments have been used for a long time to control dietary habits. These methods have shown limitations in accuracy, compliance, and real-time analysis. The rapid advancement of digital technologies has revolutionized healthcare, including the diet control landscape, allowing for innovative solutions to control dietary patterns and generate accurate and personalized recommendations. This study examines the potential of digital technologies in diet management and their effectiveness in anti-aging healthcare. After underlining the importance of nutrition in the aging process, we explored the applications of mobile apps, webbased platforms, wearables devices, sensors, the Internet of Things, artificial intelligence, blockchain, and other technologies in managing dietary patterns and improving health outcomes. The research further examines the effects of digital dietary control on anti-aging healthcare, including improved nutritional monitoring, personalized recommendations, and behavioral and sustainable changes in habits, leading to an expansion of longevity and health span. The challenges and limitations of digital diet monitoring are discussed, and some future directions are provided. Although many digital tools are used in diet control, their accuracy, effectiveness, and impact on health outcomes are not discussed much. This review consolidates the existing literature on digital diet management using emerging digital technologies to analyze their practical implications, guiding researchers, healthcare professionals, and policy makers toward personalized dietary management and healthy aging.
Metaverse in Manufacturing Using Emerging Technologies: An Overview For The Smart Industry 4.0
Enhancing Patient's Confidence and Trust in Remote Monitoring Systems Using Natural Language Processing in the Medical Metaverse
ternational Conference on Advanced Communications Technology (ICACT), Feb 4, 2024
Today, information technology has brought various innovations and developments in almost every fi... more Today, information technology has brought various innovations and developments in almost every field of advancement. Recommendation Systems (RS) have achieved a significant milestone in the service business during the information systems era. Regarding online services, RS has been crucial in enhancing product availability and offering prospective customers a wider range of luxurious options. Conversely, online retailers face increasing their sales volume and achieving greater product prices than their rivals. One solution is to use recommendation systems that leverage artificial intelligence (AI) to provide personalized recommendations to users. These systems employ machine learning algorithms to examine user data, including search history, purchasing patterns, and preferences, to anticipate the products that consumers are most likely to be interested in. AI-powered recommendation systems have demonstrated their immense value as tools for decision-making, enhancing user experience, and fostering corporate success. This comprehensive review explores the multifaceted world of recommendation systems, delving into their mechanisms, applications, and transformative impact across diverse domains. From e-commerce to content streaming and beyond, these systems have redefined how we discover, choose, and engage with products, content, and services.
Applied sciences, Apr 20, 2023
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
Applied sciences, Sep 20, 2022
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
Technological Roadmap of the Future Trend of Metaverse based on IoT, Blockchain, and AI Techniques in Metaverse Education
2023 25th International Conference on Advanced Communication Technology (ICACT)
Applied Sciences
Metaverse is the buzz technology of the moment raising attention both from academia and industry.... more Metaverse is the buzz technology of the moment raising attention both from academia and industry. Many stakeholders are considering an extension of their existing applications into the metaverse environment for more usability. The healthcare industry is gradually making use of the metaverse to improve quality of service and enhance living conditions. In this paper, we focus on the potential of digital anti-aging healthcare in the metaverse environment. We show how we can use metaverse environment to enhance healthcare service quality and increase the life expectancy of patients through more confident processes, such as chronic disease management, fitness, and mental health control, in the metaverse. The convergence of artificial intelligence (AI), blockchain (BC), Internet of Things (IoT), immersive technologies, and digital twin in the metaverse environment presents new scopes for the healthcare industry. By leveraging these technologies, healthcare providers can improve patient ou...
Sensors
Digitization and automation have always had an immense impact on healthcare. It embraces every ne... more Digitization and automation have always had an immense impact on healthcare. It embraces every new and advanced technology. Recently the world has witnessed the prominence of the metaverse which is an emerging technology in digital space. The metaverse has huge potential to provide a plethora of health services seamlessly to patients and medical professionals with an immersive experience. This paper proposes the amalgamation of artificial intelligence and blockchain in the metaverse to provide better, faster, and more secure healthcare facilities in digital space with a realistic experience. Our proposed architecture can be summarized as follows. It consists of three environments, namely the doctor’s environment, the patient’s environment, and the metaverse environment. The doctors and patients interact in a metaverse environment assisted by blockchain technology which ensures the safety, security, and privacy of data. The metaverse environment is the main part of our proposed archi...
Healthcare
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
Applied Sciences
Dog owners are extremely driven to comprehend the activity and health of their dogs and to keep t... more Dog owners are extremely driven to comprehend the activity and health of their dogs and to keep tabs on their well-being. Dogs’ health and well-being, whether as household pets or service animals, are critical issues that are addressed seriously for moral, psychological, and economical reasons. Evaluations of a dog’s welfare depend on quantitative assessments of the frequency and variability of certain behavioral features, which are sometimes challenging to make in a dog’s normal environment. While it is challenging to obtain dogs’ behavioral patterns, it is nearly impossible to directly identify one distinct behavior when they are roaming around at will. Applications for automatic pet monitoring include real-time surveillance and monitoring systems that accurately identify pets using the most recent methods for the classification of pet activities. The suggested method makes use of a long short-term memory (LSTM)-based method to detect and classify the activities of dogs based on s...
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Papers by TAGNE POUPI THEODORE ARMAND