SECTION: Special Section on Edge-AI for Connected Living

SANTM: Efficient Self-attention-driven Network for Text Matching
August 2022, Article No.: 55, pp 1–21

Self-attention mechanisms have recently been embraced for a broad range of text-matching applications. Self-attention model takes only one sentence as an input with no extra information, i.e., one can utilize the final hidden state or pooling. However, ...

Neural Network Pruning by Recurrent Weights for Finance Market
August 2022, Article No.: 56, pp 1–23

Convolutional Neural Networks (CNNs) and deep learning technology are applied in current financial market to rapidly promote the development of finance market and Internet economy. The continuous development of neural networks with more hidden layers ...

A Lossless Data-Hiding based IoT Data Authenticity Model in Edge-AI for Connected Living
August 2022, Article No.: 57, pp 1–25

Edge computing is an emerging technology for the acquisition of Internet-of-Things (IoT) data and provisioning different services in connected living. Artificial Intelligence (AI) powered edge devices (edge-AI) facilitate intelligent IoT data acquisition ...

A COVID-19 Detection Algorithm Using Deep Features and Discrete Social Learning Particle Swarm Optimization for Edge Computing Devices
August 2022, Article No.: 58, pp 1–17

COVID-19 has been spread around the world and has caused a huge number of deaths. Early detection of this disease is the most efficient way to prevent its rapid spread. Due to the development of internet technology and edge intelligence, developing an ...

Towards Communication-Efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things
August 2022, Article No.: 59, pp 1–22

Federated Edge Learning (FEL) allows edge nodes to train a global deep learning model collaboratively for edge computing in the Industrial Internet of Things (IIoT), which significantly promotes the development of Industrial 4.0. However, FEL faces two ...

MEC-Based Jamming-Aided Anti-Eavesdropping with Deep Reinforcement Learning for WBANs
August 2022, Article No.: 60, pp 1–17

Wireless body area network (WBAN) suffers secure challenges, especially the eavesdropping attack, due to constraint resources. In this article, deep reinforcement learning (DRL) and mobile edge computing (MEC) technology are adopted to formulate a DRL-MEC-...

Synergic Deep Learning for Smart Health Diagnosis of COVID-19 for Connected Living and Smart Cities
August 2022, Article No.: 61, pp 1–14

COVID-19 pandemic has led to a significant loss of global deaths, economical status, and so on. To prevent and control COVID-19, a range of smart, complex, spatially heterogeneous, control solutions, and strategies have been conducted. Earlier ...

Negative Information Measurement at AI Edge: A New Perspective for Mental Health Monitoring
August 2022, Article No.: 62, pp 1–16

The outbreak of the corona virus disease 2019 (COVID-19) has caused serious harm to people’s physical and mental health. Due to the serious situation of the epidemic, a lot of negative energy information increases people’s psychological burden. However, ...

SECTION: SI: Edge/Fog Computing for Infectious Disease Intelligence

Edge Computing to Solve Security Issues for Infectious Disease Intelligence Prevention
August 2022, Article No.: 63, pp 1–20

Nowadays, with the rapid development of intelligent technology, it is urgent to effectively prevent infectious diseases and ensure people's privacy. The present work constructs the intelligent prevention system of infectious diseases based on edge ...

Forecasting Trend of Coronavirus Disease 2019 using Multi-Task Weighted TSK Fuzzy System
August 2022, Article No.: 64, pp 1–24

Artificial intelligence– (AI) based fog/edge computing has become a promising paradigm for infectious disease. Various AI algorithms are embedded in cooperative fog/edge devices to construct medical Internet of Things environments, infectious disease ...

Labeling Privacy Protection SVM Using Privileged Information for COVID-19 Diagnosis
August 2022, Article No.: 65, pp 1–21

Edge/fog computing works at the local area network level or devices connected to the sensor or the gateway close to the sensor. These nodes are located in different degrees of proximity to the user, while the data processing and storage are distributed ...

SECTION: Regular Papers

Open Access
Network Temperature: A Novel Statistical Index for Networks Measurement and Management
August 2022, Article No.: 66, pp 1–20

Being able to monitor each packet path is critical for effective measurement and management of networks. However, such detailed monitoring can be very expensive especially for large-scale networks. To address such problem, inspired by thermodynamics, ...

PCAM: A Data-driven Probabilistic Cyber-alert Management Framework
August 2022, Article No.: 67, pp 1–24

We propose PCAM, a Probabilistic Cyber-Alert Management framework, that enables chief information security officers to better manage cyber-alerts. Workers in Cyber Security Operation Centers usually work in 8- or 12-hour shifts. Before a shift, PCAM ...

AI-Enabled Task Offloading for Improving Quality of Computational Experience in Ultra Dense Networks
August 2022, Article No.: 68, pp 1–17

Multi-access edge computing (MEC) and ultra-dense networking (UDN) are recognized as two promising paradigms for future mobile networks that can be utilized to improve the spectrum efficiency and the quality of computational experience (QoCE). In this ...

NLUBroker: A QoE-driven Broker System for Natural Language Understanding Services
August 2022, Article No.: 69, pp 1–29

Cloud-based Natural Language Understanding (NLU) services are becoming more popular with the development of artificial intelligence. More applications are integrated with cloud-based NLU services to enhance the way people communicate with machines. ...

An Empirical View on Consolidation of the Web
August 2022, Article No.: 70, pp 1–30

The majority of Web content is delivered by only a few companies that provide Content Delivery Infrastructuress (CDIss) such as Content Delivery Networkss (CDNss) and cloud hosts. Due to increasing concerns about trends of centralization, empirical ...

Extracting Formats of Service Messages with Varying Payloads
August 2022, Article No.: 71, pp 1–31

Having precise specifications of service APIs is essential for many Software Engineering activities. Unfortunately, available documentation of services is often inadequate and/or imprecise and, hence, cannot be fully relied upon. Generating service ...

GREENHOME: A Household Energy Consumption and CO2 Footprint Metering Environment
August 2022, Article No.: 72, pp 1–31

This article presents the GREENHOME environment, a toolkit providing several data analytical tools for metering household energy consumption and CO2 footprint under different perspectives. GREENHOME enables a multi-perspective analysis of household energy ...



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