This research article introduces a novel approach to text-independent speaker recognition by integrating Mel-Frequency Cepstral Coefficients (MFCC) and Bidirectional Long Short-Term Memory (Bi-LSTM) networks, with noi...
详细信息
This research introduces an innovative approach to facial emotion detection by integrating the Haar Cascade front face XML file for face detection and training a Convolutional Neural Network (CNN) model on the CK plus...
详细信息
The application of noninvasive methods to enhance healthcare systems has been facilitated by the development of new technology. Among the four major cardiovascular diseases, stroke is one of the deadliest and potentia...
详细信息
Rapid developments in digital technology have expedited the dissemination of information on social media platforms like as Twitter, Facebook, and Weibo. Unverified information can create protests and mislead the publi...
详细信息
Taking the increasing issue of electromagnetic waves(EMW)pollution and the necessity for applications in extreme environments,there is a pressing requirement to create multifunctional microwave absorption materials(MA...
详细信息
Taking the increasing issue of electromagnetic waves(EMW)pollution and the necessity for applications in extreme environments,there is a pressing requirement to create multifunctional microwave absorption materials(MAMs)to meet the current *** this work,we achieved the successful combination of MXene sheets and metal organic framework(MOFs)derived CoNi@C magnetic alloys onto the three dimensional(3D)melamine foam(MF)skeleton using vacuum impregnation and electrostatic self-assembly *** obtained MF@MXene/CoNi@C composite foams achieved outstanding MA performance,with an optimal reflection loss(RL)value of–24.1 dB and a maximum effective absorption bandwidth(EAB)of 6.88 GHz at a thickness of 1.68 mm,effectively covering the whole Ku *** superior MA performance is ascribed to the composite foams’multi-component architecture,distinctive 3D porous structure,and the synergistic impact of multiple loss ***,the MF@MXene/CoNi@C composite foams demonstrate exceptional photothermal conversion,thermal insulation,and infrared stealth capabilities,effectively coping with the demands of applications in extreme *** work serves as a valuable resource and source of inspiration for the development of lightweight broadband,multifunctional efficient MAMs.
This paper presents a novel two-stage progressive search approach with unsupervised feature learning and Q-learning (TSLL) to enhance surrogate-assisted evolutionary optimization for medium-scale expensive problems. T...
详细信息
In this research provides a solution for optimizing routing path selection in Underwater Wireless Sensor Networks (UWSNs). The algorithm combines Namib Beetle Optimization (NBO) and Moth-Flame Optimization (MFO), inte...
详细信息
Landmines continue to pose an ongoing threat in various regions around the world,with countless buried landmines affecting numerous human *** detonation of these landmines results in thousands of casualties reported w...
详细信息
Landmines continue to pose an ongoing threat in various regions around the world,with countless buried landmines affecting numerous human *** detonation of these landmines results in thousands of casualties reported worldwide ***,there is a pressing need to employ diverse landmine detection techniques for their *** effective approach for landmine detection is UAV(Unmanned Aerial Vehicle)based AirborneMagnetometry,which identifies magnetic anomalies in the local terrestrial magnetic *** can generate a contour plot or heat map that visually represents the magnetic field *** the effectiveness of this approach,landmine removal remains a challenging and resource-intensive task,fraughtwith *** computing,on the other hand,can play a crucial role in critical drone monitoring applications like landmine *** processing data locally on a nearby edge server,edge computing can reduce communication latency and bandwidth requirements,allowing real-time analysis of magnetic field *** enables faster decision-making and more efficient landmine detection,potentially saving lives and minimizing the risks involved in the ***,edge computing can provide enhanced security and privacy by keeping sensitive data close to the source,reducing the chances of data exposure during *** paper introduces the MAGnetometry Imaging based Classification System(MAGICS),a fully automated UAV-based system designed for landmine and buried object detection and *** have developed an efficient deep learning-based strategy for automatic image classification using magnetometry dataset *** simulating the proposal in various network scenarios,we have successfully detected landmine signatures present in themagnetometry *** trained models exhibit significant performance improvements,achieving a maximum mean average precision value of 97.8%.
Investing money through mutual fund benefits the small investors to access equities of big companies with a small amount of capital. It experiences the fluctuation of price along with the performance of stock, which i...
详细信息
This abstract explores the utilization of deep learning for detecting driver somnolence, aiming to enhance driver safety and alertness monitoring. It investigates the integration of computer vision, physiological sign...
详细信息
暂无评论