A5102931013- Education and Islamic Studies
- Text and Document Classification Technologies
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Computational and Text Analysis Methods
- Education and Character Development
- Educational Technology and Pedagogy
- Islamic Finance and Banking Studies
- Advanced Text Analysis Techniques
- Linguistic, Cultural, and Literary Studies
- Customer Service Quality and Loyalty
- Artificial Intelligence in Healthcare
- Islamic Studies and Radicalism
- Consumer Behavior in Brand Consumption and Identification
- Digital Marketing and Social Media
- Educational Methods and Outcomes
- Mental Health via Writing
- Online Learning and Analytics
- Machine Learning in Healthcare
- Qur’anic Interpretation Studies
- Intraperitoneal and Appendiceal Malignancies
- Appendicitis Diagnosis and Management
- Politics and Conflicts in Afghanistan, Pakistan, and Middle East
- Diverticular Disease and Complications
- Advanced Neural Network Applications
University of Veterinary and Animal Sciences
2024
University of the Punjab
2024
University of Education
2023
University of Okara
2023
Islamia University of Bahawalpur
2021-2023
Zhejiang Chinese Medical University
2022-2023
University of Agriculture Faisalabad
2022-2023
Czech Academy of Sciences, Institute of Microbiology
2023
Lankenau Medical Center
2023
Virtual University of Pakistan
2023
Text classification has become very serious problem for big organization to manage the large amount of online data and been extensively applied in tasks Natural Language Processing (NLP). can support users excellently exploit meaningful information require be classified into various categories further use. In order best classify texts, our research efforts develop a deep learning approach which obtains superior performance text than other RNNs approaches. However, main is how enhance...
The Future of University Teaching and Learning: Exploring the Transformative Potential AI discussions further revolved around increased integration technologies—such as adaptive learning systems, intelligent tutoring systems well analytics—into higher-echelons education, which pledge to transform pedagogical practices institutional operations alike. Utilizing a convergent parallel mixed-methods design, this study integrated quantitative survey data with qualitative case studies (N = 300...
Question classification is one of the essential tasks for automatic question answering implementation in natural language processing (NLP). Recently, there have been several text-mining issues such as text classification, document categorization, web mining, sentiment analysis, and spam filtering that successfully achieved by deep learning approaches. In this study, we illustrated investigated our work on certain approaches an extremely inflected Turkish language. trained tested...
As the amount of unstructured text data that humanity produce largely and a lot texts are grows on Internet, so one intelligent technique is require processing it extracting different types knowledge from it. Gated recurrent unit (GRU) support vector machine (SVM) have been successfully used to Natural Language Processing (NLP) systems with comparative, remarkable results. GRU networks perform well in sequential learning tasks overcome issues “vanishing explosion gradients standard neural...
Sentiment classification is an important but challenging task in natural language processing (NLP) and has been widely used for determining the sentiment polarity from user opinions. And word embedding technique learned a various contexts to produce same vector representations words with also extensively NLP tasks. Recurrent neural networks (RNNs) are common deep learning architecture that mechanism address issue of variable-length sentences. In this paper, we analyze investigate...
The paramountcy of English in the contemporary global landscape necessitates enhancement language proficiency, especially academic settings. This study addresses disparate levels proficiency among college students by proposing a novel approach to evaluate text readability, tailored for higher education context. Employing deep learning (DL) framework, research focuses on developing model based convolutional neural networks (CNNs) assess readability texts. diverges from traditional methods...
Muhammad Aamir, Nazri Mohd Nawi, Hairulnizam Bin Mahdin, Rashid Naseem, and Zulqarnain. International Journal of Fuzzy Logic Intelligent Systems 2020;20:8-16. https://doi.org/10.5391/IJFIS.2020.20.1.8
In today's world, stress is a major factor for various diseases in modern societies which affects the day-to-day activities of human beings. The measurement contributing governments and that impacts quality daily lives. strategy monitoring systems requires an accurate classification technique identified via reactions body to regulate itself changes within environment through mental emotional responses. Therefore, this research proposed novel deep learning approach system. paper, we presented...
In previous studies, various machine-driven decision support systems based on recurrent neural networks (RNN) were ordinarily projected for the detection of cardiovascular disease. However, majority these approaches are restricted to feature preprocessing. this paper, we concentrate both, including, refinement and removal predictive model’s problems, e.g., underfitting overfitting. By evading overfitting underfitting, model will demonstrate good enactment equally training testing datasets....
To assess the effectiveness of endoscopic retrograde appendicitis therapy (ERAT) as a new technique and method for chronic fecalith complicated by active ulcerative colitis. A 46-year-old male patient was admitted with right iliac fossa pain, tenderness, raised inflammatory markers. computed tomography (CT) scan his abdomen confirmed dilated appendix, which is considered combined He treated an procedure. The recovered well after ERAT procedure discharged from hospital in two days. On...
Using the categorization theory, this study explores effects of higher-order functional and symbolic benefits on brand love (BL). It further studies relationships between BL consumers' behavioral responses (positive word-of-mouth, willingness to pay a price premium, resistance negative information loyalty). The data were collected from 321 smartphone users, applying cross-sectional design, analyzed by PLS-Structural Equation Modeling. results show that perceived significantly predict...
In low-power low-rate wireless networks, IEEE 802.15.4 is a standard protocol for communication. Devices in such networks are usually battery-operated so radio-transceiver component typically of low range but most power consuming. Proper antenna orientation, distance between nodes and channel selection among the ways to achieve reliability these networks. But arrangements can affect link qualities achieved communication performance IoT applications. this work, we have evaluated links using...