Enhanced Viral Genome Classification Using Large Language Models by Hemalatha Gunasekaran, Nesaian Reginal Wilfred Blessing, Umar Sathic, Mohammad Shahid Husain

“…In this study, we explored the application of Natural Language Processing (NLP) techniques to classify the genomic sequences. …”
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Unveiling the Evolution of Educational Technologies: A Patent-Based Clustering and Life Cycle Analysis by Navid Mohammadi, Mehrdad Maghsoudi, Mohammad Sabet, Mahdi Soghi

“…Addressing this gap, this study employs a dataset of 85,267 patents to map the technological landscape of EdTech through patent mining, clustering, and technology life cycle analysis. Using natural language processing and clustering techniques, 15 distinct technology clusters were identified, including Learning Management Systems, Virtual and Augmented Reality, Adaptive Learning Systems, and Educational Robotics. …”
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Short Text Semantic Similarity Measurement Approach Based on Semantic Network by Naamah Hussien Hameed, Adel M. Alimi, Ahmed T. Sadiq

“… Estimating the semantic similarity between short texts plays an increasingly prominent role in many fields related to text mining and natural language processing applications, especially with the large increase in the volume of textual data that is produced daily. …”
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Multimodal machine learning for risk-stratified bundled payments in spinal surgery by Kyle A. Mani, Samuel N. Goldman, Thomas Scharfenberger, Vishal Shankar, Manish Bhatta, Rafael De la Garza Ramos, Mitchell S. Fourman, Ananth S. Eleswarapu

“…We develop the first preoperative risk-stratified multimodal machine learning model that integrates structured clinical data and unstructured surgeon notes using natural language processing to predict financial parameters. The model achieved ROC-AUC values of 0.845 and 0.883 for outlier total and variable costs, respectively, reflecting good-to-excellent performance. …”
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A Comprehensive Survey on LLM-Powered Recommender Systems: From Discriminative, Generative to Multi-Modal Paradigms by Dina Nawara, Rasha Kashef

“…Large Language Models (LLMs) have become transformative tools in Natural Language Processing (NLP). They are increasingly being integrated into recommendation systems to address existing limitations such as data sparsity, novelty, cold start, and long-tail challenges. …”
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An Inclusive review on deep learning techniques and their scope in handwriting recognition by Sukhdeep Singh, Sudhir Rohilla, Anuj Sharma

“…Nevertheless, the present handwriting recognition survey foresees deep learning enabling changes at both bench and bedside with the potential to transform several domains as image processing, speech recognition, computer vision, machine translation, robotics and control, medical imaging, medical information processing, bio-informatics, natural language processing, cyber security, and many others. …”
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TL-CStrans Net: a vision robot for table tennis player action recognition driven via CS-Transformer by Libo Ma, Yan Tong

“…Then, we introduce the CLIP model, which combines computer vision and natural language processing. CLIP allows us to jointly learn representations of images and text, thereby aligning the visual and textual modalities. …”
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Generative named entity recognition framework for Chinese legal domain by Xingliang Mao, Jie Jiang, Yongzhe Zeng, Yinan Peng, Shichao Zhang, Fangfang Li

“…Named entity recognition (NER) is a crucial task in natural language processing, particularly challenging in the legal domain due to the intricate and lengthy nature of legal entities. …”
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Enhancing Thoracic Surgery with AI: A Review of Current Practices and Emerging Trends by Mohamed Umair Aleem, Jibran Ahmad Khan, Asser Younes, Belal Nedal Sabbah, Waleed Saleh, Marcello Migliore

“…This manuscript explores AI applications, particularly machine learning (ML) and natural language processing (NLP), in thoracic surgery, emphasizing their role in diagnosis and perioperative management. …”
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Handling data sparsity via item metadata embedding into deep collaborative recommender system by Gopal Behera, Neeta Nain

“…Deep learning is an advanced learning technique that has shown success in many applications such as image classification, computer vision, natural language processing, etc. Little work has been reported on deep learning techniques in the recommender domain. …”
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Japanese-as-a-foreign-language acquisition affects native Chinese lexical processing among Chinese learners by Fengxiang Cai, Xiaodong Fei, Qichao Song

“…Existing research has primarily focused on the influence of the native language on second language (L2) acquisition and processing, with less attention given to whether L2 acquisition affects native language processing. This study examines Chinese learners of Japanese, focusing on the orthographic and phonological similarities between two-character words in Chinese and Japanese. …”
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Using Encyclopedic Texts for Training and Inference of Artificial Neural Networks by Vladimir Medeyko

“…ANNs based on the “transformer” architecture exhibit exceptional capabilities in various natural language processing tasks. However, there are several limitations, including hallucination problems, where models generate nonexistent or false statements. …”
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How does artificial intelligence shape the productivity and quality of research in business studies? A systematic literature review and future research framework by Sugandha Agarwal, Qian Long Kweh, Dima Jamali, Walton Wider, Syed Far Abid Hossain, Muhammad Ashraf Fauzi

“…Methods like machine learning and natural language processing can effectively uncover patterns and trends that conventional research methods may overlook. …”
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Assessing the Degree of Development of Professional Skills of Students in Student IT Projects by Marina Vorobeva, Antonina Melnikova

“…Professional skills were extracted from student work using natural language processing methods and technology, and an assessment of the degree of proficiency in skills and the dynamics of their development were calculated at all identified stages of the educational process. …”
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ICT Adoption in Education: Unveiling Emergency Remote Teaching Challenges for Students with Functional Diversity Through Topic Identification in Modern Greek Data by Katia Lida Kermanidis, Spyridon Tzimiris, Stefanos Nikiforos, Maria Nefeli Nikiforos, Despoina Mouratidis

“…Machine learning models, combined with Natural Language Processing techniques, were applied for topic identification, utilizing cross-validation and data balancing methods to enhance reliability. …”
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A Benchmark Arabic Dataset for Arabic Question Classification using AAFAQ Framework by Mariam Essam Abdelaziz, Mohanad A. Deif, Shabbab Ali Algamdi, Rania Elgohary

“…Abstract Arabic Natural Language Processing (NLP) is still faced with the complexity of the language’s morphology and the limited availability of quality annotated resources. …”
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Predicting drug–gene relations via analogy tasks with word embeddings by Hiroaki Yamagiwa, Ryoma Hashimoto, Kiwamu Arakane, Ken Murakami, Shou Soeda, Momose Oyama, Yihua Zhu, Mariko Okada, Hidetoshi Shimodaira

“…Abstract Natural language processing is utilized in a wide range of fields, where words in text are typically transformed into feature vectors called embeddings. …”
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Distributional Learning and Language Activation: Evidence from L3 Spanish Perception Among L1 Korean–L2 English Speakers by Jeong Mun, Alfonso Morales-Front

“…These findings underscore the need for theoretical adjustments in multilingual phonetic acquisition models and highlight the complexities of language processing in multilingual settings.…”
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Machine Learning or Human Education? Thoughts and Data on Artificial Intelligence and the Labor Market: Economic Sociological Aspects of Career Orientation. by Keszi, Roland

“…The only exception to this methodological approach is a simple combination of network analysis and natural language processing (NLP) in the first part of the study, which is based entirely on the author’s own web scraping-based data collection and calculations. …”
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Improving EFL speaking performance among undergraduate students with an AI-powered mobile app in after-class assignments: an empirical investigation by Ma Mingyan, Nooreen Noordin, Abu Bakar Razali

“…However, the ubiquitous personal mobile devices (smartphones) and the advent of AI-powered mobile apps equipped with automatic speech recognition, natural language processing, and text-to-speech present novel solutions to overcome these hurdles. …”
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