The concept of ambient IoT was introduced by 3GPP to describe low-cost, self-powered, or battery-free sensor nodes, which may reach up to 10 trillion units in the future. By replacing chemical batteries in many standalone IoT devices, we can achieve ...

Object detection in unmanned aerial vehicle (UAV) images presents challenges such as high altitudes, small object sizes, and complex backgrounds. Additionally, many deep learning object detection algorithms require substantial computational ...

Researching genes and their interactions is crucial for deciphering the fundamental laws of cellular activity, advancing disease treatment, drug discovery, and more. Large language Models (LLMs), with their profound text comprehension and generation ...

Crowd counting endeavors to estimate the numerical count of individuals present within an image depicting a gathering of people. In recent years, there has been notable and gradual advancement in the realm of crowd counting, driven by the integration of ...

With the popularity and advancement of the Internet and video-sharing platforms, video affective content analysis has greatly developed. Temporal information is crucial for this task. Nevertheless, existing methods often overlook the fact that there is ...

LiDAR-based 3D detection, as an essential technique in multimedia applications such as augmented reality and autonomous driving, has made great progress in recent years. However, the performance of a well trained 3D detector is considerably graded when ...

Real-time precise orbit and clock products are necessary for Global Navigation Satellite System (GNSS) precise positioning to achieve a centimeter-level accuracy. Besides the accuracy of orbit and clock products, the demands for their reliability ...

When faced with occlusions and non-rigid motions, machines often struggle with depth estimation, a task effortlessly performed by humans with just one eye. Continuous RGB images embody rich temporal features, such as symmetry and optical flow, ...

Recently, with the development of nanotechnology and the emergence of new materials, Wireless Nanosensor Networks (WNSNs) have been presented. To address the problems of link instability in WNSNs and poor adaptability of the EBCNF framework to ...

In this study, we investigate the task of active testing for label-efficient evaluation, which aims to estimate a model’s performance on an unlabeled test dataset with a limited annotation budget. Previous approaches relied on deep ensemble models ...$\mathrm{}$

We present MoE-DiffIR, an innovative universal compressed image restoration (CIR) method with task-customized diffusion priors. This intends to handle two pivotal challenges in the existing CIR methods: (i) lacking adaptability and universality ...

We present Surf-D, a novel method for generating high-quality 3D shapes as Surfaces with arbitrary topologies using Diffusion models. Previous methods explored shape generation with different representations and they suffer from limited topologies ...

Existing raindrop removal datasets have two shortcomings. First, they consist of images captured by cameras with a focus on the background, leading to the presence of blurry raindrops. To our knowledge, none of these datasets include images where ...

Point cloud data, representing the precise 3D layout of the scene, quickly drives the research of 3D object detection. However, the challenge arises due to the rapid iteration of 3D sensors, which leads to significantly different distributions in ...

Software applications (apps) have been playing an increasingly important role in various aspects of society. In particular, mobile apps and web apps are the most prevalent among all applications and are widely used in various industries as well as in ...

In cross-cultural social interactions, understanding non-verbal cues is as crucial as language. Distancebit is a critical design that reflects on how personal computing devices influence these interactions and explores the evolution of Augmented Reality (...

• We develop a new suction gripper for minimized-contact gripping.
• The gripper uses feedback control to stabilize the workpiece's motion.
• Zero-stiffness suction units are used to overcome negative-stiffness effect.

When gripping delicate workpieces such as a silicon wafer, contact should be minimized to protect the workpiece. Some existing suction grippers can grip a workpiece with only three contact points on its upper surface, which is minimal to fully ...

Growing multiple-affiliation collaboration in Artificial Intelligence (AI) can help solve complex integrated problems, but will it trigger the disruption in AI? Scholars have discussed the related topics in other fields. However, these studies ...

Knowledge graph (KG) embedding representation provides a foundation for knowledge reasoning and applications by mapping entities and relations into vector space. Federated learning (FL) promotes the development and application of artificial ...

Learner modeling is a crucial task in online learning environments, where Cognitive Diagnosis Models (CDMs) are employed to assess learners' knowledge mastery levels based on recorded response logs. However, the prevalence of noise in recorded response ...