The gaming market has seen substantial growth in recent years, with securing a larger share emerging as key priority for many companies. Among the various marketing strategies available, digital become an essential tool industry, playing central role driving player engagement and retention. This paper examines theoretical framework of within sector, focusing on its core componentssocial media marketing, content influencer data-driven advertisingand their influence behavior. Through...

In this work, we propose a Fine-grained Hemispheric Asymmetry Network (FG-HANet), an end-to-end deep learning model that leverages hemispheric asymmetry features within 2-Hz narrow frequency bands for accurate and interpretable emotion classification over raw EEG data. particular, the FG-HANet extracts not only from original inputs but also their mirrored versions, applies Finite Impulse Response (FIR) filters at granularity as fine to acquire fine-grained spectral information. Furthermore,...

Abstract Brain-computer interface (BCI) is a cutting-edge technology that enables interaction with external devices by decoding human intentions, and highly valuable in the fields of medical rehabilitation human-robot collaboration. The technique motor intent for execution (ME) based on electroencephalographic (EEG) signals feasibility study stage. There are still insufficient studies accuracy EEG signal recognition between-subjects classification to reach level realistic applications. This...

As a key UI feature of Android, overlay enables one app to draw over other apps by creating an extra View layer on top the host View. While greatly facilitating user interactions with multiple at same time, it is often exploited malicious (malware) attack users. To combat this threat, prior countermeasures concentrate restricting capabilities overlays OS level, while barely seeing adoption Android due concern sacrificing overlays' usability. address dilemma, more pragmatic approach enable...

In response to the need for integration of unmanned aerial vehicles (UAVs) into maritime search and rescue system intelligentization decisions, this article proposes a solution using UAVs through analysis three aspects: UAV selection, communication technology, mission payload. Based on this, an intelligent driven decision support architecture is designed, which can provide personnel in terms distress information processing, target area determination, task resource allocation, path planning....

Based on the demand for monitoring conductivity, temperature, and depth (CTD) in ocean, a hybrid coated long-period fiber grating, tilted Bragg grating (LPG-TFBG-FBG) structure is proposed, which could eliminate mutual interference of CTD measurements. First, according to coupled mode theory phase matching conditions, coupling equation each segment deduced. Next, through difference iterative method, total transfer matrix LPG-TFBG-FBG obtained. Then, improve sensitivity make demodulation more...

In this paper, we propose a method of 3-D tracking registration with virtual image and the surroundings in three steps: initial matrix acquisition, feature extraction road scene, information real environment. We obtain according to relationship between different parts system. During transformation solving, do not match features. Instead, is based on characteristic information. Then, interpolate another image's corresponding coordinates estimate transform map image. The average time reality...

Pre-trained Language Models (PLMs) have shown excellent performance on various downstream tasks after fine-tuning. Nevertheless, the escalating concerns surrounding user privacy posed significant challenges to centralized training reliant extensive data collection. Federated learning, which only requires clients and aggregates weights server without sharing data, has emerged as a solution. However, substantial parameter size of PLMs places burden computational resources client devices, while...

To match the virtual image and actual environment in an augmented reality (AR) system, it is necessary to complete task of three-dimensional (3D) tracking registration. This paper proposes a new method for 3D Previous methods extract feature points images realize In this paper, objects are extracted from deep convolution neural network scene, camera pose estimated by establishing constraint relation objects. Then, registration object realized. We design improved single-shot multibox detector...

With the development of economy and navigation, more ships are sailing to pelagic, which puts forward requirements for communication system pelagic. Aiming at problems high data transmission delay, low reliability rate cost in fleet this paper presents intelligent pelagic architecture based on UAV swarm relay, four relay modes suitable researches existing coverage strategy routing dynamic environment The supports rapid deployment can achieve network a short period. Compared with traditional...

To observe the clinical efficacy of acupuncture and moxibustion periodic therapy on folli-cular maldevelopment differentiated as spleen kidney yang deficiency.Sixty patients follicular deficiency were randomized an observation group a control group, 30 cases in each one. The conventional acupuncture-moxibustion was used applied to group. In acupoints selected terms deficiency, such Guanyuan (CV 4), Qihai 6), Zusanli (ST 36), Sanyinjiao (SP Taixi (KI 3), Xuehai 10) Zigong (EX-CA 1)....

Combining machine clustering with deep models has shown remarkable superiority in clustering. It modifies the data processing pipeline into two alternating phases: feature and model training. However, such schedule may lead to instability computational burden issues. We propose a centerless algorithm called Probability Aggregation Clustering (PAC) proactively adapt learning technologies, enabling easy deployment online PAC circumvents cluster center aligns probability space distribution by...

Semantic communication (SemCom) is an emerging paradigm aiming at transmitting only task-relevant semantic information to the receiver, which can significantly improve efficiency. Recent advancements in generative artificial intelligence (GenAI) have empowered GenAI-enabled SemCom (GenSemCom) further expand its potential various applications. However, current GenSemCom systems still face challenges such as inconsistency, limited adaptability diverse tasks and dynamic environments, inability...

With the outbreak of COVID-19 pandemic, Chinese economy was hit severely and this disease brought a significant challenge for China. This particularly case unemployment, variation GDP shrinking small medium-sized enterprises. The objective research is to investigate impacts in China, evaluating economic approaches being applied different countries point out suitable method boost recovery from depression. study used fundamental concept Keynesian theory conclude most effective showed that...