Multi-domain Urdu fake news detection using pre-trained ensemble model by Sheetal Harris, Hassan Jalil Hadi, Naveed Ahmad, Mohammed Ali Alshara

“…Furthermore, limited research in resource-constrained languages has created language bias in Artificial Intelligence (AI) research, which is concentrated in this study. Natural Language Processing (NLP) techniques have been used for Fake News Detection (FND) for English news and various language-related tasks. …”
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AI-driven chatbots in second language education: A systematic review of their efficacy and pedagogical implications by Watcharapol Wiboolyasarin, Kanokpan Wiboolyasarin, Phornrat Tiranant, Nattawut Jinowat, Poomipat Boonyakitanont

“…Further research is needed to enhance emotional responsiveness and support complex language processing in chatbot design.…”
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Quantum-Inspired Data Embedding for Unlabeled Data in Sparse Environments: A Theoretical Framework for Improved Semi-Supervised Learning without Hardware Dependence by Shawn Ray

“…The versatility of this model is illustrated through its application to critical domains such as medical diagnosis, resource-constrained natural language processing, and financial forecasting—areas where data scarcity impedes the efficacy of traditional models. …”
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Mapping Quality of Service and Quality of Experience to Public Bike Systems – An Empirical Case of New Taipei YouBike by Chih-Lin CHUNG, Chen-Hao YUE, Chi-Chung TAO

“…Additionally, we investigated Google Maps reviews posted by bike users using natural language processing and deep learning techniques to develop a quality of experience (QoE) model. …”
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AI-Assisted Real-Time Monitoring of Infectious Diseases in Urban Areas by Mohammed M. Alwakeel

“…The system leverages time series forecasting with long short-term memory (LSTM) networks, logistic regression for outbreak probability estimation, anomaly detection with isolation forests, and natural language processing (NLP) for extracting epidemiological insights from public health reports and social media trends. …”
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An Empirical Study on the Deficiencies and Optimization of the Management System of Tourist Attractions Based on Human Resource Management by Yan Tang, Siran Bai, Lingling Cui

“…Based on the social reality of profound changes in human resource management in the era of big data, this study uses natural language processing and machine learning methods to dynamically mine 165,811 enterprise recruitment data for feature analysis and model construction of human resource management job capabilities. …”
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Compassionate Care with Autonomous AI Humanoid Robots in Future Healthcare Delivery: A Multisensory Simulation of Next-Generation Models by Joannes Paulus Tolentino Hernandez

“…Effective communication is crucial for robots to be seen as “caring”, necessitating advanced mechatronic design and natural language processing (NLP). This paper examines the potential of humanoid robots to autonomously replicate compassionate care. …”
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An intrusion detection model based on Convolutional Kolmogorov-Arnold Networks by Zhen Wang, Anazida Zainal, Maheyzah Md Siraj, Fuad A. Ghaleb, Xue Hao, Shaoyong Han

“…Abstract The application of artificial neural networks (ANNs) can be found in numerous fields, including image and speech recognition, natural language processing, and autonomous vehicles. As well, intrusion detection, the subject of this paper, relies heavily on it. …”
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Enhancing Cyber Security: Comparing the Accuracy of the Bert Model with Other Common Deep Learning Models in Identifying Email Spam by Tao Xu

“…In this study, deep learning (DL) and natural language processing (NLP) methods were employed to develop a spam detection model. …”
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Interaction, Artificial Intelligence, and Motivation in Children’s Speech Learning and Rehabilitation Through Digital Games: A Systematic Literature Review by Chra Abdoulqadir, Fernando Loizides

“…This review of the state of the art examines the role of serious games, Artificial Intelligence (AI), and Natural Language Processing (NLP) in speech rehabilitation, with a particular focus on interaction modalities, engagement autonomy, and motivation. …”
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An adaptive assessment: Online summary with automated feedback as a self-assessment tool in MOOCs environments by Saida Ulfa, Ence Surahman, Agus Wedi, Izzul Fatawi, Rex Bringula

“…The algorithm employed in the online summary with an automated feedback feature was Cosine similarity which is part of text similarity in natural language processing (NLP). To measure the effectiveness, usability, and student satisfaction of this feature, 100 students were involved as research participants. …”
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Low-Rank Adaptation of Pre-Trained Large Vision Models for Improved Lung Nodule Malignancy Classification by Benjamin P. Veasey, Amir A. Amini

“…Inspired by LoRA's success in the field of Natural Language Processing, we hypothesized that such an adaptation technique can significantly improve classification performance, parameter efficiency, and training speed for the novel application of lung image cancer diagnostic. …”
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Exploring GPT-4 Capabilities in Generating Paraphrased Sentences for the Arabic Language by Haya Rabih Alsulami, Amal Abdullah Almansour

“…Paraphrasing has a significant impact on numerous Natural Language Processing (NLP) applications, such as Machine Translation (MT) and Question Answering (QA). …”
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Predicting Sudden Stratospheric Warmings Using Video Prediction Methods by Yuhao Du, Jiankai Zhang, Xinyuan Cheng, Yixiong Lu, Douwang Li, Wenshou Tian

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Enhancing implicit sentiment analysis via knowledge enhancement and context information by Yanying Mao, Qun Liu, Yu Zhang

“…Abstract Sentiment analysis (SA) is a vital research direction in natural language processing (NLP). Compared with the widely-concerned explicit sentiment analysis, implicit sentiment analysis (ISA) is more challenging and rarely studied due to the lack of sentiment words. …”
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Intelligent text similarity assessment using Roberta with integrated chaotic perturbation optimization techniques by Esraa Hassan, Amira Samy Talaat, M. A. Elsabagh

“…Abstract Precisely evaluating text similarity remains a fundamental challenge in Natural Language Processing (NLP), with widespread applications in plagiarism detection, information retrieval, semantic analysis, and recommendation systems. …”
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EVALUATION OF THE PERFORMANCE OF CHATGPT/ARTIFICIAL INTELLIGENCE IN THE MULTIPLE-CHOICE TEST TO OBTAIN THE TITLE OF SPECIALIST IN ORTHOPEDICS AND TRAUMATOLOGY by LUCAS PLENS DE BRITTO COSTA, DANILO HENRIQUE PIZZO DE CASTRO, RENATO PINHEIRO CORDEIRO, RÔMULO BALLARIN ALBINO

“…ABSTRACT Introduction: ChatGPT, an advanced Artificial Intelligence model specialized in natural language processing, shows remarkable abilities, achieving high scores in certification exams in various specialties. …”
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High-performance sentiment classification of product reviews using GPU(parallel)-optimized ensembled methods by Annaluri Sreenivasa Rao, Yeruva Jaipal Reddy, Guggilam Navya, Neelima Gurrapu, Jala Jeevan, M. Sridhar, Desidi Narasimha Reddy, Siva Kumar Pathuri, Dama Anand

“…Sentiment analysis is an important approach in natural language processing (NLP) that extracts information from text to infer underlying emotions or views. …”
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Two-Dimensional Coherent Polarization–Direction-of-Arrival Estimation Based on Sequence-Embedding Fusion Transformer by Zihan Wu, Jun Wang, Zhiquan Zhou

“…Drawing inspiration from natural language processing (NLP), this approach employs transformer-based multitasking text inference to facilitate joint estimation of polarization and DOA. …”
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AI and Human Resources in a Literature-Driven Investigation Into Emerging Trends by Cristina Iancu, Simona-Vasilica Oprea

“…The findings highlight the relevance of a human-centric approach to AI adoption by addressing ethical, cultural and compliance concerns, with the aid of advanced Natural Language Processing (NLP) techniques, such as Latent Dirichlet Allocation (LDA) for topic modelling and keyword co-occurrence networks for thematic exploration. …”
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