Preserve categorical features effect with dimensionality reduction techniques

AIP conference proceedings, Год журнала: 2025, Номер 3264, С. 040008 - 040008

Опубликована: Янв. 1, 2025

Язык: Английский

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The Influence E-Learning Platforms of Undergraduate Education in Iraq

International Journal of Recent Contributions from Engineering Science & IT (iJES), Год журнала: 2021, Номер 9(4), С. 90 - 99

Опубликована: Дек. 3, 2021

continue learning. Technology has become not only an activity but also a fundamental tool. Moreover, technology becomes the core media that allows education to happen. In Iraq Blended Learning used overcome pandemic and counting Therefore, use of computers digital applications became part daily life for long hours. properly designed educational activities linked social have powerful tool aimed at finding ways effective The interactive contributed growth self-learning motivation building healthy mind capable way out advancement reality when crises occurred. It impossible do without mobile devices, because attractive features they multiple advantages provide in teaching mathematical, medical, engineering sciences universities our study relied on comparing most important platforms with best operation managing virtual classes auxiliary tools contain, including adding materials, assignments, tests, electronic attendance records archiving migrating students advanced stages, as it administration mechanism. All these procedures take place through availability Internet.

Язык: Английский

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The Influence of Mobile Information Systems Implementation on Enhancing Human Resource Performance Skills: An Applied Study in a Small Organization

International Journal of Interactive Mobile Technologies (iJIM), Год журнала: 2024, Номер 18(13), С. 37 - 68

Опубликована: Июль 12, 2024

The human resources mobile information system (HRMoIS) provides users with direct access to via devices, enhancing efficiency, productivity, and the user experience. It includes applications, websites, SMS services, other communication mediums. This enhances mobility, facilitates operational processes, supports decision-making in ever-evolving technological landscape, ultimately improving users’ efficiency productivity. Al-Anbar Province is undergoing significant urban economic development. Still, more research needed on impact of HRMoIS employee performance Anbar enhance their skills. study aims provide insights for top management decision-makers implementing similar methods performance. employs a questionnaire survey managers regular employees 20 small organizations Al Anbar, Iraq. data analyzed using percentages, frequencies, Pearson correlation, Cronbach’s alpha coefficient. allows comprehensive examination all essential aspects resource dynamics. upholds integrity precision by aligning roles responsibilities. found that had higher mean values despite barriers such as organizational resistance, limited resources, inadequate training. results underscore importance addressing these issues adoption. investigates HR show positive correlation between systems efficiency. recommends emphasizes need providing necessary hardware software, hiring experienced consultants, ensuring training development, supplying relevant data, appointing keep up advancements.

Язык: Английский

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Design and implementation control system for a self-balancing robot based on internet of things by using Arduino microcontroller

Periodicals of Engineering and Natural Sciences (PEN), Год журнала: 2021, Номер 9(3), С. 409 - 409

Опубликована: Июль 24, 2021

This project is designed for attempting on developing an autonomous self-balancing robot. In this work, the two-wheel robotic system consists of a microcontroller (Arduino), Dc motor, and sensor. The Arduino used to read sensor data gives order motor based control algorithm remaine stable at different impediment. robot drive with cannot drive. A driver (L298 type) provide sufficient current. Ultrasonic (used sense impediment during movement) 3-axis gyroscope accelerometer (To measure inclination angle) controller laws allow reaching static or moving targets three structured IOT interactions between elementary controllers actuator via Cloud environment. Regarding technical detail must be mathematical model. model some references, after that, transfer function found. MATLAB Simulink in design controller, PID due simplicity good activity central systems. tuner package obtain parameter (kp, ki, kd) that fast response stability. result shows has remained (remained vertically) very (less than 1sec) until reaches desired output.

Язык: Английский

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Analyzing and Tracking Student Educational Program Interests on Social Media with Chatbots Platform and Text Analytics

International Journal of Interactive Mobile Technologies (iJIM), Год журнала: 2023, Номер 17(05), С. 4 - 21

Опубликована: Март 7, 2023

This research presents a chatbot application to provide educational information for university students. There are three objectives: 1) study the problem of providing students with chatbots, 2) develop model and construct predict interest students, 3) assess satisfaction provided by application. The datasets were conversations from Messenger Facebook Page Faculty Information Technology, Rajabhat Maha Sarakham University, during academic year 2020-2021. In total, there 1,094 transactions used in this work. Furthermore, data mining machine learning techniques, including CRISP-DM, Naïve Bayes, K-Nearest Neighbors, Neural Network, as tools. cross-validation confusion matrix techniques test performance. Moreover, questionnaire was assessment tool 30 respondents. As result, it showed that developed high-level results, which 88.73% accuracy an average 3.97 satisfaction. future, researchers plan apply results next expand into other programs.

Язык: Английский

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A Case Study of Princess Sumaya University for Technology (PSUT) Engineering Students’ Perceptions of Utilizing Simulation Software via Online Learning

International Journal of Engineering Pedagogy (iJEP), Год журнала: 2024, Номер 14(1), С. 96 - 111

Опубликована: Янв. 30, 2024

The primary goal of this research has been to examine the perceptions related use simulation software in context e-learning at Engineering PSUT Jordan, which is acknowledged as one leading private universities country. present study and a descriptive utilized 25-item survey given 270 students. findings indicate that, according students’ subjective viewpoint, effectiveness online learning was observed be significantly high. This observation supported by an average score 3.89 standard deviation 0.959, indicating relatively consistent perception among participants. study’s results that there were no significant variations terms academic year, computer skills, student GPA or gender parameters. underscore importance incorporating higher educational institutions improve teaching experience.

Язык: Английский

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Enhancement automatic speech recognition by deep neural networks

Periodicals of Engineering and Natural Sciences (PEN), Год журнала: 2021, Номер 9(4), С. 921 - 921

Опубликована: Ноя. 12, 2021

The performance of speech recognition tasks utilizing systems based on deep learning has improved dramatically in recent years by different designs and methodologies. A popular way to boosting the number training data is called Data Augmentation (DA), research shows that using DA effective teaching neural network models how make invariant predictions. furthermore, EM approaches have piqued machine-learning researchers' attention as a means improving classifier performance. In this study, been presenteded unique employs both improve system's prediction accuracy. firstly, reveal an approach vocal tract length disturbance already exists then propose Feature perturbation alternative approach. order amendment sets. This followed integration posterior probabilities obtained from several DNN acoustic trained diverse datasets. study's findings proposed skills improved.

Язык: Английский

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Tourism Companies Assessment via Social Media Using Sentiment Analysis

Baghdad Science Journal, Год журнала: 2021, Номер 19(2), С. 0422 - 0422

Опубликована: Сен. 20, 2021

In recent years, social media has been increasing widely and obviously as a for users expressing their emotions feelings through thousands of posts comments related to tourism companies. As consequence, it became difficult tourists read all the determine whether these opinions are positive or negative assess success company. this paper, modest model is proposed e-tourism companies using Iraqi dialect reviews collected from Facebook. The analyzed text mining techniques sentiment classification. generated words classified into positive, neutral by utilizing Rough Set Theory, Naïve Bayes K-Nearest Neighbor methods. After experimental results, was determined that out 71 tested companies, 28% have very good assessment, 26% 31% medium 4% acceptance assessment 11% bad assessment. These results helped improve work programs responding sufficiently quickly customer demands.

Язык: Английский

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The Skill of Making a Decision and its Relationship of Academic Achievement Among Students

International Journal of Recent Contributions from Engineering Science & IT (iJES), Год журнала: 2021, Номер 9(4), С. 77 - 89

Опубликована: Дек. 3, 2021

This research aims to know the essence of correlative relationship between decision-making skills and academic achievement among students computer science departments in colleges education Baghdad governorate. The size sample two amounted (200) male female distributed by (104) (96) students. To measure skill achievement, researcher built tests, first skill, second an test numerical analysis subject prescribed for second-year students, Department Computer Science, validity reliability each was verified. After collecting analyzing data, researchers concluded that province possessed compared hypothetical average compared, while outperformed prepared this research. And their is good analysis. There a correlation as whole. However, there no students' inverse student's achievement. reached several recommendations.

Язык: Английский

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Deep Learning Algorithms for Human Fighting Action Recognition

International Journal of Online and Biomedical Engineering (iJOE), Год журнала: 2022, Номер 18(02), С. 71 - 87

Опубликована: Фев. 16, 2022

— Human action recognition using skeletons has been employed in various applications, including healthcare robots, human-computer interaction, and surveillance systems. Recently, deep learning systems have used such as object classification. In contrast to conventional techniques, one of the most prominent convolutional neural network algorithms extracts image features from its operations. Machine computer vision applications faces many challenges, human real time. Despite significant improvements, videos are typically shot with at least 24 frames per second, meaning that fastest classification technologies take Object detection must correctly identify locate essential items, but they also be speedy prediction time meet real-time requirements video processing. The fundamental goal this research paper is recognize state fighting provide security organizations by discovering identifying problems through surveillance. First, images investigated fight scenes YOLOv3 algorithm, which updated work. Our improvements algorithm allowed us accelerate exploration a group humans images. center locator feature was adopted an indicator for measuring safety distance between two persons. If it less than specific value specified code, tracked. Then, sorting track people. This framework filtered process classify whether these people continue exceed programmatically defined minimum distance. Finally, content filter frame categorized combat OpenPose technology trained VGG-16 classifies situation walking, hugging, or fighting. A dataset created train three categories proposed methodology proved successful, exhibiting accuracy 95.0%, 87.4%, 90.1%, respectively.

Язык: Английский

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