WSN security is a current area of research for many scientists. One of the best security tools for defending the network from malicious assaults or the unauthenticated access is IDS. In this article, we suggest an opt...
详细信息
Potatoes are essential for food production and consumption, but pests and illnesses can cause major economic losses. To quickly identify potato leaf diseases, image processing, computer vision, and deep learning can b...
详细信息
This paper addresses the problem of trajectory tracking of an inverted pendulum mounted on an autonomous quadrotor *** mathematical model of the quadrotor-inverted-pendulum system is first *** and angular velocity con...
详细信息
ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
This paper addresses the problem of trajectory tracking of an inverted pendulum mounted on an autonomous quadrotor *** mathematical model of the quadrotor-inverted-pendulum system is first *** and angular velocity control laws are then constructed based on the backstepping technique;the former law features an implicit bound with respect to the position *** origin of the closed-loop system error associated with the proposed control methodology is shown to be locally asymptotically *** simulation results are presented to validate and demonstrate the performance of our solution.
Algorithms for steganography are methods of hiding data transfers in media *** machine learning architectures have been presented recently to improve stego image identification performance by using spatial information...
详细信息
Algorithms for steganography are methods of hiding data transfers in media *** machine learning architectures have been presented recently to improve stego image identification performance by using spatial information,and these methods have made it feasible to handle a wide range of problems associated with image *** with little information or low payload are used by information embedding methods,but the goal of all contemporary research is to employ high-payload images for *** address the need for both low-and high-payload images,this work provides a machine-learning approach to steganography image classification that uses Curvelet transformation to efficiently extract characteristics from both type of *** Vector Machine(SVM),a commonplace classification technique,has been employed to determine whether the image is a stego or *** Wavelet Obtained Weights(WOW),Spatial Universal Wavelet Relative Distortion(S-UNIWARD),Highly Undetectable Steganography(HUGO),and Minimizing the Power of Optimal Detector(MiPOD)steganography techniques are used in a variety of experimental scenarios to evaluate the performance of the *** WOW at several payloads,the proposed approach proves its classification accuracy of 98.60%.It exhibits its superiority over SOTA methods.
— In recent years, time series prediction has become a highly interesting topic in various applied areas, including clinical time series analysis. Hospitals and other clinical healthcare systems collect Electronic He...
详细信息
The main control objective for the quad-rotor system is the attitude and position tracking control which is accomplished in this article using the backstepping fractional-order sliding mode control approach combined w...
详细信息
Coherent multiple-input multiple-output (MIMO) radar could significantly improve the weak moving target detection ability by accumulating multi-channel and multi-frame echo signal. However, due to the target motion an...
详细信息
This paper presented the high performance signature of transceiver fiber system based on cascade uniform fiber Bragg grating devices. This model has a data rate of 20 Gb/s extended along optical fiber length of 10 km ...
详细信息
Weed infestation in cotton fields significantly challenges agricultural productivity by competing for essential nutrients and water resources. This study presents a comprehensive comparative analysis of two deep learn...
详细信息
In the rapidly evolving field of healthcare, accurate clinical predictions are paramount for effective disease management and treatment planning. This paper introduces a novel ensemble machine learning model that util...
详细信息
暂无评论