Kết quả tìm kiếm - Muhammad Zain
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1
The Synergistic Effect of Job Satisfaction as A Mediator between Quality of Work Life and Organizational Commitment on Job Performance Bằng Rama Fajar Shidiq, Vitradesie Noekent, Muhammad Zain Alfain
Được phát hành 2024-12-01The purpose of this study was to determine the effect of quality of work life and organizational commitment on job performance with job satisfaction as a mediating variable. The population in this study were the staff of PT Asia Pacific Fibers Kendal. The number of samples used in this study were 21...
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2
The Influence of Job Satisfaction and Quality of Work Life on Employee Performance: The Mediating Role of Organizational Commitment Bằng Muhammad Zain Alfain, Vitradesie Noekent, Rama Fajar Shidiq
Được phát hành 2024-12-01This study examines the influence of job satisfaction (JS) and quality of work life (QWL) on employee performance (EP), with organizational commitment (JS) as a mediating variable at PT Asia Pacific Fibers Kendal. Through a quantitative approach, data were obtained from 211 employees of PT Asia Paci...
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3
RU-OLD: A Comprehensive Analysis of Offensive Language Detection in Roman Urdu Using Hybrid Machine Learning, Deep Learning, and Transformer Models Bằng Muhammad Zain, Nisar Hussain, Amna Qasim, Gull Mehak, Fiaz Ahmad, Grigori Sidorov, Alexander Gelbukh
Được phát hành 2025-06-01The detection of abusive language in Roman Urdu is important for secure digital interaction. This work investigates machine learning (ML), deep learning (DL), and transformer-based methods for detecting offensive language in Roman Urdu comments collected from YouTube news channels. Extracted feature...
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4
Machine Learning- and Deep Learning-Based Multi-Model System for Hate Speech Detection on Facebook Bằng Amna Naseeb, Muhammad Zain, Nisar Hussain, Amna Qasim, Fiaz Ahmad, Grigori Sidorov, Alexander Gelbukh
Được phát hành 2025-06-01Hate speech is a complex topic that transcends language, culture, and even social spheres. Recently, the spread of hate speech on social media sites like Facebook has added a new layer of complexity to the issue of online safety and content moderation. This study seeks to minimize this problem by de...
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5
Multi-Level Depression Severity Detection with Deep Transformers and Enhanced Machine Learning Techniques Bằng Nisar Hussain, Amna Qasim, Gull Mehak, Muhammad Zain, Grigori Sidorov, Alexander Gelbukh, Olga Kolesnikova
Được phát hành 2025-07-01Depression is now one of the most common mental health concerns in the digital era, calling for powerful computational tools for its detection and its level of severity estimation. A multi-level depression severity detection framework in the Reddit social media network is proposed in this study, and...
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