The 3D Gaussian Splatting (3DGS)-based SLAM system has garnered widespread attention due to its excellent performance in real-time high-fidelity rendering. However, real-world environments with dynamic objects, existing 3DGS-based systems often face mapping errors and tracking drift issues. To address these problems, we propose GARAD-SLAM, a tailored for scenes. In terms of tracking, unlike traditional methods, directly perform segmentation on Gaussians map them back the front-end obtain...

China is a country with an extremely high disease burden of hepatitis B. Spatiotemporal analysis B from socioeconomic perspective great significance for reducing the burden, but there still relative lack research. The age-period-cohort model and spatial distribution maps describe three-dimensional characteristics Spatial autocorrelation spatiotemporal scanning were used to analyze characteristics. random forest algorithm was screen potential influencing factors. geographic detector...

In this paper, we investigate the topic of gender identification for short length, multi-genre, content-free e-mails. We introduce first time (to our knowledge), psycholinguistic and gender-linked cues problem, along with traditional stylometric features. Decision tree support vector machines learning algorithms are used to identify author a given e-mail. The experiment results show that approach is promising an average accuracy 82.2%.

This paper investigated the class characteristics in English handwriting of Chinese, Malays and Indians Singapore, many whom learned their native language as a second language. One hundred fifty-four exemplars were collected features such letter designs, pen-lifts, spacing embellishments studied. A number characteristic peculiar to individual racial group identified, which confirmed impact writing systems on handwriting.

With the prevalent adoption of blockchain in financial system, there has been an increase phishing scams on cryptocurrency platforms such as Ethereum, and effective anomaly detection method is urgently required. The latest studies have focused identification using natural language processing techniques or constructing simple static graphs. However, existing methods are insufficient to convey diversity connectivity patterns Ethereum transaction network concerning amount time. To this end, we...

The riparian green space covers the inner buffer zone to maintain ecological characteristics of river and outer coordination serve adjacent urban–rural functional areas. complex topography landform mountainous areas make closely connected with natural process spatial function, which is focus urban rural construction. However, "out-of-context" "one-size-fits-all" means multi-department planning have separated maintenance constructive utilization in areas, resulting serious conflicts between...

Underwater robots play a significant role in exploring the underwater world. In recent years, still can't recognize objects accurately. order to find solution problem of robot recognition, we put forward framework. There are three parts our First, color correction algorithm is used compensate casts and produce natural corrected images. Second, employ Super-Resolution Generative Adversarial Network enhance two Network. One modified generate network <tex...

Extensive studies have been conducted on human action recognition, whereas relatively few methods proposed for hand recognition. Although it is very natural and straightforward to apply a recognition method this approach cannot always lead state-of-the-art performance. One of the important reasons that both between-class difference within-class in actions are much smaller than those actions. In article, we study first-person from RGB-D sequences. To explore whether pretrained networks...

Underwater image enhancement plays an important role in oceanic engineering, while the research is far from enough. The problems like color casts, low contrast brought out by properties of water and its impurities, make it a challenging task. This paper proposes novel framework for enhancing underwater image. It includes two parts, that is, pre-processing de-blurring with improved Super-resolution Generative Adversarial Networks. First, process pre-processing, we use correction approach...

Unscented Kalman filter (UKF) is a class of nonlinear filtering methods based on unscented transform within the framework. It in light intuition that to approximate probability distribution by set deterministic samples easier than an arbitrary transform. The key factors UKF-the scalar, state variable dimensions and noises involved system, besides distribution, should be synthetically analyzed. mean square error adopted evaluate effect these performance UKF. simulation results show above...

The traditional delay and sum (DAS) algorithm is the most widely adopted method in medical ultrasound imaging; although it can produce images quickly, sacrifices resolution contrast ratio. adaptive such as minimum variance (MV) continuously updates apodization weighting vectors according to received signals, so that of weighted signals minimized, thus quality imaging be improved, especially its resolution. Although image may improved ratio well after combining with coherence factor (MV-CF),...

Thermochemical heat storage technology has great development prospects due to its high energy density and stable long-term capacity. The calcium hydroxide/calcium oxide reaction been proven be feasible for thermochemical storage. However, low thermal conductivity, the slow in fixed-bed reactor needs improved. In this work, Y-shaped fin was used improve performance, a multi-physics numerical model established process fixed bed. results show that can accelerate improved transfer inside...

This paper proposes a network that applies deep learning to structured light detection. With the powerful ability of artificial neural network, image can be effectively processed in an end-to-end way after simple processing image.

In lathe operation, the most frequently used wrenches are chuck and tool holder wrenches, which different in structure function cannot be replaced, forgetting to remove will cause safety accidents. To solve above problems, this paper designs a new type of wrench, integrates functions wrench various screwdrivers, can easily change form by certain improves production efficiency eliminates hazards.

The rapid development of blockchain technology and the rise Ethereum as its representative platform has triggered a wide range research applications. However, this is also accompanied by new security challenges, among which Eclipse attack one significant threats currently facing networks. In response to these we propose an detection method based on multi-head attention mechanism with Bi-LSTM. This approach utilizes Bi-LSTM model process time-series data, capturing focusing features most...

In order to promote the accuracy of agricultural pollution source prediction algorithm, an algorithm based on chaotic differential evolution neural network is proposed in article. Firstly, it initialises population with chaos theory, diversity for initial solution; then improves by using mean entropy and perturbation variation method its optimise performance. Secondly, optimises parameter learning process improved parameters optimisation. Lastly, applies into example local results showed...

Cerebral small vessel diseases refer to a group of clinical, radiological, or pathological phenomenas with various aetiologies that affect the arteries, arterioles, capillaries, venules and veins brain. Patients may manifest as cognitive dysfunction, abnormal gait, and/or dysarthria. can be visualized lacunar infarcts, white matter lesions, cerebral microbleeds, enlarged perivascular spaces brain atrophy on neuroimaging studies. Its eiology pathogenesis are complex complicated. In recent...