This is an advanced object detection system with YOLOv7 model, implemented for UAV surveillance as outlined in the article. By integrating the system with Roboflow serving as its database manager and data augmentation...
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ISBN:
(数字)9798350369083
ISBN:
(纸本)9798350369090
This is an advanced object detection system with YOLOv7 model, implemented for UAV surveillance as outlined in the article. By integrating the system with Roboflow serving as its database manager and data augmentation software, it benefits from a broad array of reputable datasets which are improving training and inferences. In the blog, we cover all steps from model cloning (on TensorFlow) with one/two script line conversion to preprocessing of datasets and work automation for training or evaluation. The optimizations in the implementation of YOLOv7 dog led to scalability, allow more object categories and deploy security for real time surveillance with autonomous navigation. Extensive testing demonstrates that our system exceeds state-of-the-art methods in terms of detection performance as well as efficiency, demonstrating the significant benefits for UAV hotspots gained from a deployment of advanced deep learning techniques.
Q-switched fiber laser operated in microsecond regime was successfully demonstrated using a saturable absorption property of Nickel oxide (NiO) naparticles. The NiO PEG film was prepared by drop and dry method, and it...
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The paper deals with an analytical/numerical approach to determine the transmitted power density (TPD) in flat human tissue model exposed to the radiation of dipole antenna. Human tissue is represented by muscle prope...
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The current research conducts a comprehensive analysis of citation networks focusing on publications by authors affiliated with Egyptian institutions. Leveraging the Semantic Scholar platform and its API, a citation n...
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An extensive knowledge of cognitive development from early infancy to late adolescence is required to investigate brain neural pathways. The success in recognizing diverse stimuli is one of the remarkable frameworks t...
An extensive knowledge of cognitive development from early infancy to late adolescence is required to investigate brain neural pathways. The success in recognizing diverse stimuli is one of the remarkable frameworks that used to examine the essential variations in cognitive processes. Recognizing the intended stimuli has been proven to be influenced by several factors such as participants ‘gender and handedness. In this study, we investigated whether these cognitive variations regarding handedness take place at age nine-year. 33-EEG channels were recorded while seven right-handed and seven left-handed participants completed the Eriksen Flanker task-experimental paradigm with a variety of stimuli for evaluating attention and cognition. In each handedness group, the imaginary coherence was computed to evaluate the functional connectivity of each child. It was observed that left and right-handers activate distinct cortical regions, particularly in the alpha and beta bands. Additionally, the findings showed that brain connectivity at the incongruent Flanker stimuli can be utilized to differentiate the two targeted group.
This paper presents a novel design of wideband 3D transmitting pattern manipulation structure (3D-TPMS) elements based on stepped-impedance slotline resonators (SISRs). The 3DTPMS element can be divided into three par...
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ISBN:
(数字)9798331520717
ISBN:
(纸本)9798331520724
This paper presents a novel design of wideband 3D transmitting pattern manipulation structure (3D-TPMS) elements based on stepped-impedance slotline resonators (SISRs). The 3DTPMS element can be divided into three parts, the receiving part, the phase-delay part, and the transmitting part. Taking advantage of the SOL calibration method, the discontinuities at the interface of the spatial wave and guided wave with incident angle (steering angle) is studied. The calculated results show that the incident angle (steering angle) mainly influences the turns ratio of the transformer and the value of serries inductor. To overcome the influence of the incident angle (scan angle), the discontinuities are considered in the element design by the equivalent circuit model (ECM). In this way, best transmission coefficient can be obtained. To enhance the bandwidth, the receiving part and the transmitting part are designed with Chebyshev response. The bandwidth of the 3D-TPMS element is over $\mathbf{8 0 \%}$. The simulated results indicate that the proposed 3D-TPMS is a promising candidate for 6 G network.
Blurry appearance of fast moving objects in video frames was successfully used to reconstruct the object appearance and motion in both 2D and 3D domains. The proposed method addresses the novel, severely ill-posed, ta...
Blurry appearance of fast moving objects in video frames was successfully used to reconstruct the object appearance and motion in both 2D and 3D domains. The proposed method addresses the novel, severely ill-posed, task of single-image fast moving object deblurring, shape, and trajectory recovery – previous approaches require at least three consecutive video frames. Given a single image, the method outputs the object 2D appearance and position in a series of sub-frames as if captured by a high-speed camera (i.e. temporal super-resolution). The proposed SI-DDPM-FMO method is trained end-to-end on a synthetic dataset with various moving objects, yet it generalizes well to real-world data from several publicly available datasets. SI-DDPM-FMO performs similarly to or better than recent multi-frame methods and a carefully designed baseline method.
Given the rising prevalence of ophthalmic disorders, this study aims to meet the urgent need for an automated technique capable of diagnosing and treating these conditions. Our approach combines deep learning and mach...
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作者：
Liu, ShanlinZhang, YingweiZhao, XudongWang, HeshengNortheastern University
College of Information Science and Engineering Shenyang China Northeastern University
State Laboratory of Synthesis Automation of Process Industry Shenyang China Dalian University of Technology
Faculty of Electronic Information and Electrical Engineering Dalian China Department of Automation
Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai China
In this article, an adaptive event-triggered asymp¬totically fault-tolerant control (FTC) issue for nonlinear systems with actuator faults is investigated. An extended neural networks (NNs) technique is introduce...
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Optical metasurfaces are engineered 2D electromagnetic structures enabling flat optical elements with properties not readily found in nature. Their unit cells, meta-atoms, usually are represented by a set of electric ...
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