IEEE Transactions on Consumer Electronics

The concept of federated learning (FL) is becoming increasingly popular as a method for training collaborative models without loss the sensitive information. The term has become ubiquitous due to the extensive development of autonomous vehicles. Vehicular ...

As the energy management undergoes rapid transformations, there’s an imperative need for innovative energy management frameworks. Responding to this, our research introduces an advanced energy management framework, synergistically combining quantum ...

In recent years, the continuous development of robotics and artificial intelligence technology, with the robot application is also more and more advanced, especially the robot grasping task, but at present it is difficult to take into account the grasping ...

Vietnam is one of the developing countries and people’s lives depend on agricultural production for 80% of the economy. Global climate change has been seriously affecting agricultural production in Vietnam and agricultural countries around the ...

Alzheimer’s disease is a progressive brain disorder, with mild cognitive impairment being a predisposing stage. Although various diagnostic methods have been proposed, they are difficult to use regularly due to associated pain and costs. In ...

In the era of 6G technology, the convergence of Information Technology (IT) and Operational Technology (OT) is revolutionizing the way digital twin architectures are deployed for consumer applications. This convergence of IT and OT can leverage edge ...

Wearable devices have broadened the horizons of healthcare systems within consumer digital products. However, these devices have limited power resources, emphasizing the importance of power management at all design levels. This paper proposes a novel ...

Deep semi-supervised learning (SSL) brings deep learning from lab with expensive label data costs to real-world commercial application. Today, deep SSL is being universally applied in various artificial intelligence commercial technologies. However, there ...

Salient object detection (SOD) can be applied to consumer electronic area, which can help to identify and locate objects of interest. RGB/RGB-D (depth) salient object detection has achieved great progress in recent years. However, there is a large room ...

To create immersive 3D metaverse and digital twin experiences, 3D perception of scenes for consumer electronic products is crucial. Therefore, it is vital for consumer electronic products to generate precise and dense depth estimation. Existing ...

Multi-view clustering has garnered considerable attention in recent years owing to its impressive performance in processing high-dimensional data. Most multi-view clustering models still encounter the following limitations. They emphasize common ...

In the absence of a grid, the grid-integrated solar photovoltaic array (SPVA) fed water pumping system operates in standalone mode. On the grid recovery, such a system must be synchronized with the grid to facilitate system reliability. A mixed second and ...

An improved vision-based framework is proposed for lane detection and departure warning system. It consists of an edge filter developed based on sliding discrete cosine transform for lane features extraction, RANdom SAmple Consensus (RANSAC) method for ...

The paper proposes a framework LightDew, which leverages the Dew Computing (DC) paradigm in Smart Assisted Living (SAL) ecosystems. DC allows effective communication, less resource utilization, and real-time decision making capability. However, due to the ...

Various consumer electronics have become indispensable for our daily lives, and they rely heavily on visual content, such as image, to deliver immersive experiences to users. However, consumer electronic devices may encounter issues like image corruption, ...

This paper presents the practical response and performance-aware development of online speech enhancement from a consumer electronic perspective. To improve the efficiency of human-machine interaction, speech can play a vital role as a transmission medium ...

The use of renewable energy seems to be vital as the demand for electricity power rises quickly. But the traditional electric power grid is not able to face the challenges raised by the modern power system. As the distributed generation (DGs) become more ...

The optimisation of Wireless Sensor Networks (WSNs) is critical in the ever-changing environment of E-commerce. This work describes a unique technique for designing and modelling energy-efficient WSNs adapted to the specific demands of E-commerce ...

The Internet of Vehicles (IoV) has become a fundamental platform for advancing Intelligent Transportation Systems (ITSs) and Intelligent Connected Vehicles (ICVs). However, the increasing volume of data generated by vehicle sensors and the computational ...

In recent years, the integration of advanced technologies such as communication advancements (e.g., 5G), Artificial Intelligence (AI), industrial edge computing, and adversarial Machine Learning (ML) has accelerated the evolution of Industry 5.0 systems, ...

Based on the development needs of Industry 5.0, Advanced On-orbit Systems (AOS) can be integrated with terrestrial 5G networks, with large-scale Internet of Things (IoT) links as well as with flexible deployment and resource optimization, enabling ...

Intelligent data processing harnesses the power of learning, analytics, and automated data insight extraction to guide managers through decision making, which emerged as imperative tools in computer science and information processing. However, the huge ...

Intelligent transport systems (ITSs) aim to improve the performance of vehicular ad hoc networks (VANETs). It provides new opportunities for the Internet of Vehicle (IoVs) environment but poses some security concerns, especially concerning the Vehicle-to-...

This is an era of the prevalence of multimedia, an era of a community of shared future in cyberspace. In the last few years, the number of available multimedia and multimodal applications increased at a fastest step also thanks to the availability of ...

The convergence of hardware, materials, sensors, and artificial intelligence brought a new class of consumer portable devices with advanced computing and connectivity capabilities, serving diverse aspects such as health monitoring, fitness tracking, and ...

As one of the consumer electronics, drones have received more and more attention in applications such as dynamic monitoring, transportation of goods, and unmanned logistics. In these applications, it is necessary to obtain the accurate position of the ...

With the increasing amount of image data required for vision tasks, traditional data transmission methods face the problems of high latency and low reliability, which greatly limit the performance and application potential of the Artificial Intelligence ...

This paper constructs a new time series segmentation method using the financial implications of the head-and-shoulders pattern (HS), effectively overcoming the limitations of traditional time series segmentation methods that ignore the economic meaning of ...

Consumer electronics are electronic equipment intended for everyday use, and they constitute a part of the wider electronics industry including devices and services used for entertainment, communications and recreation. In practice, consumer electronics ...

The Consumer Internet of Things (or CIoT) refers to the vast number of physical personal devices, ranging from very simple ones such as fitness trackers to high-end smart electric vehicles, that are connected to the Internet. This connectivity has ...