Alaa A. El-Demerdash, Sherif E. Hussein, John FW Zaki^*

CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 941-959, 2022, DOI:10.32604/cmc.2022.021839

Abstract Sentiment analysis attracts the attention of Egyptian Decision-makers in the education sector. It offers a viable method to assess education quality services based on the students’ feedback as well as that provides an understanding of their needs. As machine learning techniques offer automated strategies to process big data derived from social media and other digital channels, this research uses a dataset for tweets' sentiments to assess a few machine learning techniques. After dataset preprocessing to remove symbols, necessary stemming and lemmatization is performed for features extraction. This is followed by several machine learning techniques and a proposed Long Short-Term Memory… More >

S. Balammal@Geetha^*, R. Muthukkumar, V. Seenivasagam

Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1737-1752, 2022, DOI:10.32604/iasc.2022.018822

Abstract Content-Based Image Retrieval (CBIR) is an approach of retrieving similar images from a large image database. Recently CBIR poses new challenges in semantic categorization of the images. Different feature extraction technique have been proposed to overcome the semantic breach problems, however these methods suffer from several shortcomings. This paper contributes an image retrieval system to extract the local features based on the fusion of scale-invariant feature transform (SIFT) and KAZE. The strength of local feature descriptor SIFT complements global feature descriptor KAZE. SIFT concentrates on the complete region of an image using high fine points of features and KAZE ponders… More >

K. Sangeetha^1,*, D. Prabha²

Computer Systems Science and Engineering, Vol.40, No.2, pp. 735-747, 2022, DOI:10.32604/csse.2022.019310

Abstract Educational institutions showing interest to find the opinion of the students about their course and the instructors to enhance the teaching-learning process. For this, most research uses sentiment analysis to track students’ behavior. Traditional sentence-level sentiment analysis focuses on the whole sentence sentiment. Previous studies show that the sentiments alone are not enough to observe the feeling of the students because different words express different sentiments in a sentence. There is a need to extract the targets in a given sentence which helps to find the sentiment towards those targets. Target extraction is the subtask of targeted sentiment analysis. In… More >

Awais Mahmood^1,*, Muhammad Imran², Aun Irtaza³, Qammar Abbas⁴, Habib Dhahri^1,5, Esam Mohammed Asem Othman¹, Arif Jamal Malik⁶, Aaqif Afzaal Abbasi⁶

CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 963-979, 2022, DOI:10.32604/cmc.2022.019291

Abstract Searching images from the large image databases is one of the potential research areas of multimedia research. The most challenging task for nay CBIR system is to capture the high level semantic of user. The researchers of multimedia domain are trying to fix this issue with the help of Relevance Feedback (RF). However existing RF based approaches needs a number of iteration to fulfill user's requirements. This paper proposed a novel methodology to achieve better results in early iteration to reduce the user interaction with the system. In previous research work it is reported that SVM based RF approach generating… More >

Y. A. Amer¹, Taher A. Bahnasy^2,*

Sound & Vibration, Vol.55, No.3, pp. 191-201, 2021, DOI:10.32604/sv.2021.014358

Abstract An externally excited Duffing oscillator under feedback control is discussed and analyzed under the worst resonance case. Multiple time scales method is applied for this system to find analytic solution with the existence and nonexistence of the time delay on control loop. An appropriate stability analysis is also performed and appropriate choices for the feedback gains and the time delay are found in order to reduce the amplitude peak. Different response curves are involved to show and compare controller effects. In addition, analytic solutions are compared with numerical approximation solutions using Rung-Kutta method of fourth order. More >

Wenjun Gao¹, Yang Yang^1,*, Hongtao Duan¹, Mingsheng Li¹, Jinrong Ma¹, Songwei Jin²

Computer Systems Science and Engineering, Vol.39, No.1, pp. 69-85, 2021, DOI:10.32604/csse.2021.016475

Abstract The two-dimensional (2-D) system has a wide range of applications in different fields, including satellite meteorological maps, process control, and digital filtering. Therefore, the research on the stability of 2-D systems is of great significance. Considering that multiple systems exist in switching and alternating work in the actual production process, but the system itself often has external perturbation and interference. To solve the above problems, this paper investigates the output feedback robust H_∞ stabilization for a class of discrete-time 2-D switched systems, which the Roesser model with uncertainties represents. First, sufficient conditions for exponential stability are derived via the average… More >

Muhammad Usman Ghani Khan^1,2, Zubaira Naz¹, Javeria Khan¹, Tanzila Saba³, Ibrahim Abunadi³, Amjad Rehman³, Usman Tariq^4,*

CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2363-2376, 2021, DOI:10.32604/cmc.2021.014550

Abstract The National Health Interview Survey (NHIS) shows that there are 13.2% of children at the age of 11 to 17 who are suffering from Attention Deficit Hyperactivity Disorder (ADHD), globally. The treatment methods for ADHD are either psycho-stimulant medications or cognitive therapy. These traditional methods, namely therapy, need a large number of visits to hospitals and include medication. Neurogames could be used for the effective treatment of ADHD. It could be a helpful tool in improving children and ADHD patients’ cognitive skills by using Brain–Computer Interfaces (BCI). BCI enables the user to interact with the computer through brain activity using… More >

Delphine Déniel Lagadec^1,2,*, Laurence Guen^1,2, Fabienne Le Goc Le Sager¹, Sandrine Estivin^1,3, Christophe Perrin^1,4

Oncologie, Vol.23, No.1, pp. 39-46, 2021, DOI:10.32604/Oncologie.2021.015985

Abstract Since October 2020, the COVID-19 epidemic has affected the care of patients in the field of oncology/hematology in the public and private establishments. The “Unité de coordination en onco-geriatrie région Bretagne” (coordinating unit in onco-geriatrics of the Brittany region) has wished to have a survey with specialists in cancerology so as to make an inventory of the care given to cancer patients aged over 75 in the region. An inquest was made in the course of October 2020, following the first lock down, with 24 specialists. 67% of them feel they lack in clear orders/institutional prescriptions related with this epidemic.… More >

Tao Ni¹, Lingtao Huang^1,*, Huanfei Zheng², Hongyan Zhang¹

Intelligent Automation & Soft Computing, Vol.27, No.1, pp. 143-158, 2021, DOI:10.32604/iasc.2021.012268

Abstract To overcome the problem that a teleoperation system loses robustness when the target moves outside the robot’s visual field or it is far away from the desired position, and to improve the operability and controllability of a master-slave teleoperation system, we present an image servo based haptic feedback (ISBHF) control method for teleoperating. The ISBHF control method involves extracting target feature points and constructing image servo based virtual force. First, the image characteristics of the environment and targets are identified and extracted by a 3D reconstruction method. A composite image Jacobian matrix is used to construct virtual guidance force based… More >

Ye Zhang^∗

Computer Systems Science and Engineering, Vol.35, No.3, pp. 207-214, 2020, DOI:10.32604/csse.2020.35.207

Abstract Considering the issue of Chinese college students that are not interested in learning English and have a lack of enthusiasm for learning overall, a feedback and motivation application based on cloud computing to teach English vocabulary to Chinese college students has been developed. The mobile application can collect and analyze the problems that users encounter in the process of learning English through the cloud server in real-time, and advise on how to resolve these problems. The feedback system also allows users to access this data. In the case of uploading to designated teachers, teachers can adjust their teaching methods and… More >