CFP-AL: Combining Model Features and Prediction for Active Learning in Sentence Classification by Keuntae Kim, Yong Suk Choi

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Optimizing OLAP Cube for Supporting Business Intelligence and Forecasting in Banking Sector by Sonali Mathur, Shankar Lal Gupta, Payal Pahwa

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Deep learning and sentence embeddings for detection of clickbait news from online content by Amara Muqadas, Hikmat Ullah Khan, Muhammad Ramzan, Anam Naz, Tariq Alsahfi, Ali Daud

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Voice activity detection in noisy conditions using tiny convolutional neural network by R. S. Vashkevich, E. S. Azarov

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Quantum AI: A Cognitive Machine Learning Technique based on Nurturing Food Security Sustainability Predictive Analysis for Life Science - Bioengineering in Healthcare by Senthil G.A., Monica K.M., Prabha R., Prinslin L., Elavarasi R.

“…The system starts with taking photos of food using a Convolutional Neural Network (CNN) is processed by it has a classification accuracy of 91.87%. …”
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Ensemble genetic and CNN model-based image classification by enhancing hyperparameter tuning by Wajahat Hussain, Muhammad Faheem Mushtaq, Mobeen Shahroz, Urooj Akram, Ehab Seif Ghith, Mehdi Tlija, Tai-hoon Kim, Imran Ashraf

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Speaker-Independent Phoneme-Based Automatic Quranic Speech Recognition Using Deep Learning by Samah Al-Zaro, Mahmoud Al-Ayyoub, Osama Al-Khaleel

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Impact of Artificial Intelligence on Employee Development at Basrah University by Nadia Ihsan Abdulsahib Noor, Ghalia Nassreddine, Jouman Younis

“…Thus, modern companies have started spending an enormous amount on employee development. It is an essential process for employees and organizations. Companies have started using recent technology in employee development to make this process more productive. …”
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Using Text Mining to Search for Neolithic Vlaardingen Culture Sites in the Rhine-Meuse-Scheldt Delta by Lasse Van den Dikkenberg, Alex Brandsen

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How well can LLMs grade essays in Arabic? by Rayed Ghazawi, Edwin Simpson

“…The study identifies challenges faced by LLMs in processing Arabic, including tokenization complexities and higher computational demands. …”
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Mapping the Digital Media Landscape in Bulgaria: Analysis of Web Publications by Plamen Hristov Milev

“…The structured dataset, generated during the scraping process, records word-level occurrences in both article titles and bodies, along with publication dates and URLs. …”
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LLM-Based Response Generation for Korean Adolescents: A Study Using the NAVER Knowledge iN Q&A Dataset with RAG by Junseo Kim, Seok Jun Kim, Junseok Ahn, Suehyun Lee

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A Wavelet-Based Analysis for Monitoring Controller Reliability in Active Magnetic Bearing With Rotor Eccentricities by Debarghya Dutta, Pabitra Kumar Biswas, Sukanta Debnath, Furkan Ahmad

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Classification of Russian Texts by Genres Based on Modern Embeddings and Rhythm by Ksenia Vladimirovna Lagutina

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Polymer Waveguide-Based Crossing Waveguides and Adiabatic-Tapered Directional Couplers for Fiber Compatible Optical Interconnect by Xiaofeng Liu, Quandong Huang, Bin Xiao, Quankeng Huang, Jiaqi Ran, Zhanxiong Qiu, Shijie Liang, Qingming Chen, Wenchao Jiang, Zhaoqiang Zheng, Xinyong Dong, Slawomir Ertman, Yuwen Qin

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Leveraging Deep Learning and NLP for Automated Text Summarization in Healthcare by Usha Rani Rella, Lakshmi Swarupa Malladi

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An Improved Convolutional Neural Network (CNN) for Disease Detection and Diagnosis for Multi-crop Plants by Florence Choong Chiao Mei, Bryan Ng Jan Hong

“…The plant images were pre-processed to ensure that they were validated accurately and to minimise overfitting. …”
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Improved YOLOv8-Based Segmentation Method for Strawberry Leaf and Powdery Mildew Lesions in Natural Backgrounds by Mingzhou Chen, Wei Zou, Xiangjie Niu, Pengfei Fan, Haowei Liu, Cuiling Li, Changyuan Zhai

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Multilingual Sarcasm Detection for Enhancing Sentiment Analysis using Deep Learning Algorithms by Ahmed Derbala Yacoub, Amal Elsayed Aboutabl, Salwa O. Slim

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Steel Surface Defect Detection Technology Based on YOLOv8-MGVS by Kai Zeng, Zibo Xia, Junlei Qian, Xueqiang Du, Pengcheng Xiao, Liguang Zhu

“…To address the problems of low efficiency and poor accuracy in the manual inspection process, intelligent detection technology based on machine learning has been gradually applied to the detection of steel surface defects. …”
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