Results 61 to 70 of about 3,766 (244)

Content-Centric Mobile Edge Caching

IEEE Access, 2020
With the explosion of data volume, it becomes challenging to deliver high quality service to mobile users. Therefore, edge caching has received significant attentions since it can bring contents near mobile users, to boost spectral efficiency, and reduce
Tiankui Zhang, Xinyuan Fang, Yuanwei Liu, Arumugam Nallanathan   +3 more
doaj   +1 more source

Mapping Corporate Environment, Social, and Governance Discourses: Analysis of Korean Companies' Sustainability Reports (2014–2024)

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Corporations increasingly use Environmental, Social, and Governance (ESG) reports to articulate their commitments, priorities, and performance in sustainability governance. This study examines how Korean firms have configured and reconfigured their sustainability discourses across industries and time using 634 sustainability reports (2014–2024)
Taedong Lee, Sinjae Kang, Dian Wahyu Utami, Bohae Na   +3 more
wiley   +1 more source

Assessing the Energy Consumption of Proactive Mobile Edge Caching in Wireless Networks

IEEE Access, 2019
Multiaccess edge computing and caching (MEC) is regarded as one of the key technologies of fifth-generation (5G) radio access networks. By bringing computing and storage resources closer to the end users, MEC could help to reduce network congestion and ...
Ming Yan, Chien Aun Chan, Wenwen Li, Ling Lei, Andre F. Gygax, Chih-Lin I   +5 more
doaj   +1 more source

Collaborative Content Distribution With an End-to-End Caching Framework

IEEE Access, 2020
While the mobile networks are evolving to a content-centric paradigm, the surging traffic demands keep stressing the ever-increasing network capacities.
Haoru Xing, Wei Song
doaj   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

The FemTech revolution: Unlocking the potential of new technology for optimizing pregnancy outcomes in low‐ and middle‐income countries and remote areas

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Maternal and neonatal mortality and morbidity rates uncover major global health disparities. Despite ongoing efforts, the rates of maternal and neonatal complications remain substantially higher in low‐ and middle‐income countries (LMICs) compared to high‐income countries (HICs). These high rates are the result of several unmet needs in LMICs,
Nir Melamed, Hema Divakar, Mahesh Choolani, Fionnuala M. McAuliffe, Lin Foo, Hassan Shehata, Gabriel Jones, Vyta Senikas, Eline M. Van der Beek, Nandita Palshetkar, Gabriele Saccone, Vincenzo Berghella, Mauricio A. Cuello, Justin Konje, Bhaskar Bhatt, Augusto Cam, Moses Obimbo, Aris Papageorghiou, Moshe Hod, on behalf of the FIGO Committee on Women's Health and Technology   +19 more
wiley   +1 more source

Local Search and the Evolution of World Models

Topics in Cognitive Science, EarlyView., 2023
Abstract An open question regarding how people develop their models of the world is how new candidates are generated for consideration out of infinitely many possibilities. We discuss the role that evolutionary mechanisms play in this process. Specifically, we argue that when it comes to developing a global world model, innovation is necessarily ...
Neil R. Bramley, Bonan Zhao, Tadeg Quillien, Christopher G. Lucas   +3 more
wiley   +1 more source

Cost-Oriented Mobility-Aware Caching Strategies in D2D Networks With Delay Constraint

IEEE Access, 2019
Pre-caching popular files at mobile users with the aid of device-to-device (D2D) communications can offload the data traffic to low-cost D2D links and reduce the network transmission cost.
Ruijin Sun, Tingting Yang, Ailing Wang, Meng Qin, Zixuan Fei, Ying Wang   +5 more
doaj   +1 more source

Mobility-Aware Traffic Offloading via Cooperative Coded Edge Caching

IEEE Access, 2020
With caching popular contents at the small-cell base stations (SBSs), cooperative edge caching has emerged as an effective approach to offload explosively increasing network traffic from a massive number of users in mobile edge networks (MENs).
Dewang Ren, Xiaolin Gui, Kaiyuan Zhang, Jie Wu   +3 more
doaj   +1 more source

A Comprehensive Reassessment of the Global Illegal Wildlife Trade's Economic Value 全球非法野生动植物贸易经济价值的全面重新评估**

Integrative Conservation, EarlyView.
Through systematic price collection and correction for underreporting and undetected seizures, the global illegal wildlife trade (IWT) is estimated at US$28.4–39.5 billion per year. This finding highlights that previous valuations were underestimates.
Jia Hao Tow, L. Roman Carrasco
wiley   +1 more source