A5103007058- Caching and Content Delivery
- Context-Aware Activity Recognition Systems
- Blood transfusion and management
- Recommender Systems and Techniques
- Engineering and Environmental Studies
- Nanoparticle-Based Drug Delivery
- Trauma, Hemostasis, Coagulopathy, Resuscitation
- Nonmelanoma Skin Cancer Studies
- Geographic Information Systems Studies
- Hemostasis and retained surgical items
- Technology Adoption and User Behaviour
- Muscle Physiology and Disorders
- Cutaneous Melanoma Detection and Management
- Knowledge Management and Sharing
- Nanoplatforms for cancer theranostics
- Innovation and Socioeconomic Development
- Digitalization and Economic Development in Agriculture
- Traffic Prediction and Management Techniques
- Body Contouring and Surgery
- Human Mobility and Location-Based Analysis
- Business Strategies and Innovation
- Skin Protection and Aging
- RNA Interference and Gene Delivery
- Sustainable Supply Chain Management
- Customer Service Quality and Loyalty
Terasaki Foundation
2022-2025
Universitat Politècnica de València
2023
Deakin University
2023
UConn Health
2021
University of Michigan
2021
Brigham and Women's Hospital
2021
Islamic Azad University, Firoozkooh Branch
2019
Glioblastoma Multiforme (GBM) represents a significant clinical challenge amongst central nervous system (CNS) tumors, with dismal mean survival rate of less than 8 months, statistic that has remained largely unchanged for decades (National Brain Society, 2022). The specialized intricate anatomical features the brain, notably blood-brain barrier (BBB), pose challenges to effective therapeutic interventions, limiting potential reach modern advancements in immunotherapy impact these types...
Purpose The aim of this paper is to provide a comprehensive and detailed review the state-of-the-art mechanisms knowledge sharing (KS) in supply chain (SC) field, as well directions for future research. Briefly, tries offer systematic methodical KS SC comparative summary selected articles, collect describe factors that have influence on SC, explore some main challenges field present guidelines face existing outlining key areas where can be improved. Design/methodology/approach In current...
Making internet-of-things (IoT)-based applications context-aware demands large amounts of raw data to be collected, interpreted, stored, and reused or repurposed if needed from many domains applications. Context is transient but interpreted can distinguished IoT in aspects. Managing context cache a novel area research that has been given very little attention. Performance metric-driven adaptive caching (ACOCA) have profound impact on the performance cost efficiency context-management...
Context information is in demand more than ever with the rapid increase number of context-aware Internet Things applications developed worldwide. Research context and context-awareness being conducted to broaden its applicability light many practical technical challenges. One challenges improving performance when responding a large queries. Management Platforms that infer deliver measure this problem using Quality Service (QoS) parameters. Although caching proven way improve QoS, transiency...
Purpose Nowadays, communications, products, services and costs are customized through the internet technology. The main theory to continue competitiveness in organizations is customer relationship management (CRM). CRM enables efficiently interact with customers gather, store examine their data for providing a complete view of them. On other hand, subject cloud computing has increasingly become bridge success implementation. Therefore, this study aims investigate impact (new facility,...
Predicting the future location of mobile objects reinforces location-aware services with proactive intelligence and helps businesses decision-makers better planning near real-time scheduling in different applications such as traffic congestion control, advertisements, monitoring public health well-being. The recent developments smartphone sensors technology prevalence using location-based social networks alongside improvements artificial machine learning techniques provide an excellent...
ABSTRACT The current research has been conducted to study the impact of entrepreneurial orientation and entrepreneurship strategy on sustainable supply chain management organizational performance companies in Tehran. method is a type descriptive-survey approach. Statistical population included all Tehran, whose number was about 352 companies. Totally, 210 participated research. Questionnaire used gather data. validity questionnaire confirmed by confirmatory factor analysis using face content...
Performance metrics-driven context caching has a profound impact on throughput and response time in distributed management systems for real-time queries. This paper proposes reinforcement learning based approach to adaptively cache with the objective of minimizing cost incurred by responding Our novel algorithms enable queries sub-queries reuse repurpose cached an efficient manner. is distinctive traditional data approaches three main features. First, we make selective admissions using no...