Aiming at the problems of large amount model parameters and false missing detections multi-scale drone targets, we present a novel detection method, YOLOv4-MCA, based on lightweight MobileViT Coordinate Attention. The proposed approach is improved according to framework YOLOv4. Firstly, use an as feature extraction backbone network, which can fully extract local global representations object reduce model’s complexity. Secondly, adopt Attention improve PANet obtain attention called CA-PANet,...

Small UAV target detection plays an important role in maintaining the security of cities and citizens. targets have characteristics low-altitude flights, slow speeds, miniaturization. Taking these into account, we present a real-time algorithm called Fast-YOLOv4 based on edge computing. By adopting computing platform NVIDIA Jetson Nano, intelligent analysis can be performed video to realize fast targets. However, current iteration edge-embedded has low accuracy poor performance. To solve...

Adverse effects in the measured gamma spectrum caused by radioactive statistical fluctuations, ray scattering, and electronic noise can be reduced energy denoising. Wavelet threshold denoising used to perform multi-scale multi-resolution analysis on noisy signals with small root mean square errors high signal-to-noise ratios. However, traditional wavelet methods, there are signal oscillations hard constant deviations soft An improved calculation method processing function proposed this...

Most model-based rate control solutions have the generally questionable assumption that video sequence is stationary. In addition, they often suffer from fundamental problem of model parameter misestimation. this paper, we propose a sequence-based frame-level bit allocation framework employing rate-complexity has capability tracking nonstationary characteristics in source without look-ahead encoding. new nonlinear estimation approach proposed to overcome existing problems previous schemes...

Along with the economic growth, companies must contribute to social progress and promote environmental sustainability in equal harmony. Sustainable human resource management (SHRM) strategies make it possible attain economic, goals of a firm. In this regard, survey method is discussed using literature review online questionnaire identify main factors/indicators during SHRM evaluation manufacturing firms India. Uncertainty commonly occurred assessment factors. As generalized version fuzzy...

Most model based rate control solutions have the generally questionable assumption that video sequence is stationary, and also suffer from fundamental problems of parameter mis-estimation. In this paper, we propose a bit allocation solution with capability tracking nonstationary characteristics in source without look-ahead encoding thus stationarity no longer needed. addition, new estimation approach provided to solve existing schemes. Moreover, general concept guarantee presented achieve...

Local coordinate coding has recently been introduced to learning visual feature dictionary and achieved top level performance for object recognition. However, the computational complexity scales linearly with number of samples, so it does not scale up well large-scale databases. In this paper, we propose an online algorithm which, at every iteration round, only processes one or a mini-batch random samples (e.g., two hundred samples). Our theoretically ensures convergence expected objective...

Bitstream switching is an effective way to deal with bandwidth variation in transmitting multimedia over time-varying channels such as the Internet or wireless networks. Most previous work has focused on how switch reduce potential error drift, without necessarily taking into account impact of and delay requirements. This paper proposes a rate-distortion optimized dynamic bitstream algorithm that explicitly takes both drifting effect requirement. The rate control (or decision) proposed...

生态学作用及其保护问题。结果表明: (1)黔金丝猴与藏酋猴(Macaca thibetana)、红腹角雉(Tragopan temminckii)、中华鬣羚 (Capricornis milneedwardsii)、食蟹獴(Herpestes urva)、马来豪猪(Hystrix brachyura)、猪獾(Arctonyx collaris)、野猪(Sus scrofa)、 勺鸡(Pucrasia macrolopha)和小麂(Muntiacus reevesi)存在空间关联, 其所处群落的物种组成与川金丝猴(Rhinopithecus roxellana)较为相似。(

In data‐driven big data security analysis, knowledge graph‐based multisource heterogeneous threat organization, association mining, and inference analysis attach increasinginterest in the field of cybersecurity. Although construction graph based on deep learning has achieved great success, a largescale, high‐quality, domain‐specific needs manual annotation large corpora, which means it is very difficult. To tackle this problem, we present straightforward active strategy for cybersecurity...

Bitstream switching among multiple bitstreams encoded at different bit rates is an effective way to address the bandwidth variation issue in transmitting multimedia over Internet or wireless networks. This paper proposes two new fast real-time bitstream algorithms that aim minimize drifting error, while avoiding problems of long delay, high complexity and bit-rate overhead for storage transmission often occur prior solutions. The basic idea choose a point neighborhood with highest encoding...

By cooperative communication among mobile vehicles, content based information dissemination could be implemented by local storage. This paper focuses on analyzing how long the stored in this region for, which is also called storage capability. Although there an approximation model for two-way traffic, it not scalable different scenarios .We analyze of highway traffic. Based analytical one-way we improve Finally, exhaustive simulations are presented to show good performance proposed models scenarios.

Bitstream switching is an effective way to deal with the bandwidth variation issue in transmitting multimedia over Internet or wireless networks. This paper proposes a fast intelligent bitstream algorithm that avoids problem of long delay and high complexity often occurred prior solutions. We show it can achieve very close performance as off-line MSE-optimized solution, well-controlled quality drift. It especially useful scenario real-time multicasting heterogeneous networks, where multiple...

Although the Neural Radiance Fields (NeRF) has been shown to achieve high-quality novel view synthesis, existing models still perform poorly in some scenarios, particularly unbounded scenes. These either require excessively long training times or produce suboptimal synthesis results. Consequently, we propose SD-NeRF, which consists of a compact neural radiance field model and self-supervised depth regularization. Experimental results demonstrate that SDNeRF can shorten time by over 20...

Objective: To develop a simple and effective prognostic scoring system to predict the efficacy of drug-eluting bead-transcatheter arterial chemoembolization (DEB-TACE) in treatment hepatocellular carcinoma (HCC). Methods: Data were retrospectively collected from 230 patients with HCC who received DEB-TACE at six medical centers between January 2019 December 2022. We developed predictive score based on independent risk factors for overall survival (OS), validated model using validation...

Fine-grained recognition has many applications in fields and aims to identify targets from subcategories. This is a highly challenging task due the minor differences between Both modal missing adversarial sample attacks are easily encountered fine-grained tasks based on multimodal data. These situations can lead model needing be fixed. An Enhanced Framework for Complementarity of Multimodal Features (EFCMF) proposed this study solve problem. The model’s learning data complementarity enhanced...