Empowering Retail Through Advanced Consumer Product Recognition Using Aquila Optimization Algorithm With Deep Learning by Mohammed Alghamdi, Hanan Abdullah Mengash, Mohammed Aljebreen, Mohammed Maray, Abdulbasit A. Darem, Ahmed S. Salama

“…To boost the complete product detection process, the ACPR-AOADL technique involves AOA based hyperparameter selection process. …”
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The evolution of postmortem investigation: a historical perspective on autopsy's decline and imaging's role in its revival by Nadia Solomon, Nadia Solomon, Nadia Solomon, Dominic Gascho, Natalie L. Adolphi, Laura Filograna, Harold Sanchez, James R. Gill, Jamie Elifritz, Jamie Elifritz

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Sporting a virtual future: exploring sports and virtual reality patents using deep learning-based analysis by Jea Woog Lee, Sangmin Song, JungMin Yun, Doug Hyun Han, YoungBin Kim

“…Using patent big data, we introduce SportsBERT, a bidirectional encoder representation from transformers (BERT)-based algorithm tailored for enhanced natural language processing in sports-related knowledge-based documents. …”
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Developing and validating measures for AI literacy tests: From self-reported to objective measures by Thomas K.F. Chiu, Yifan Chen, King Woon Yau, Ching-sing Chai, Helen Meng, Irwin King, Savio Wong, Yeung Yam

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Optimizing maize germination forecasts with random forest and data fusion techniques by Lili Wu, Yuqing Xing, Kaiwen Yang, Wenqiang Li, Guangyue Ren, Debang Zhang, Huiping Fan

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Optimising AI writing assessment using feedback and knowledge graph integration by Ci Zhang

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Facial expression morphing: enhancing visual fidelity and preserving facial details in CycleGAN-based expression synthesis by Chayanon Sub-r-pa, Rung-Ching Chen, Ming-Zhong Fan

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Towards the implementation of automated scoring in international large-scale assessments: Scalability and quality control by Ji Yoon Jung, Lillian Tyack, Matthias von Davier

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Geographic Information System for Mapping Accommodation Locations in Lhokseumawe City Using the AHP Method and Dijkstra's Algorithm by Aldi Wahdana, Nurdin, Sujacka Retno

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Influence and Philosophical Reflection on ChatGPT in the Media Industry by Yufan Xia, Beibei Wang, Qinglan Wei

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Cross-domain recommendation in MOOCs: A graph capsule network approach with transfer learning by Lian Yuanfeng, Zhuang Yongqi

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How Much Rationality Is Needed for Decision Making? by Annette Grathoff

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Optimizing Large Language Models for Arabic Healthcare Communication: A Focus on Patient-Centered NLP Applications by Rasheed Mohammad, Omer S. Alkhnbashi, Mohammad Hammoudeh

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Optimizing data collection requirements for machine learning models in wild blueberry automation through the application of DALL-E 2 by Connor C. Mullins, Travis J. Esau, Qamar U. Zaman, Patrick J. Hennessy

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AI-powered visual E-monitoring system for cattle health and wealth by Aung Si Thu Moe, Pyke Tin, Masaru Aikawa, Ikuo Kobayashi, Thi Thi Zin

“…This study presents an AI-powered cattle health monitoring system that combines real-time computer vision, edge computing, and mobile applications to enhance animal welfare and farm productivity. …”
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Porosity Analysis and Thermal Conductivity Prediction of Non-Autoclaved Aerated Concrete Using Convolutional Neural Network and Numerical Modeling by Alexey N. Beskopylny, Evgenii M. Shcherban’, Sergey A. Stel’makh, Diana Elshaeva, Andrei Chernil’nik, Irina Razveeva, Ivan Panfilov, Alexey Kozhakin, Emrah Madenci, Ceyhun Aksoylu, Yasin Onuralp Özkılıç

“…Currently, the visual study of the structure of building materials and products is gradually supplemented by intelligent algorithms based on computer vision technologies. These algorithms are powerful tools for the visual diagnostic analysis of materials and are of great importance in analyzing the quality of production processes and predicting their mechanical properties. …”
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GLOBE Observer: A Case Study in Advancing Earth System Knowledge with AI-Powered Citizen Science by Peder V. Nelson, Russanne Low, Holli Kohl, David Overoye, Di Yang, Xiao Huang, Sriram Chellappan, Farhat Binte Azam, Ryan M. Carney, Monika Falk, Joan Garriga, Larisa Schelkin, Rebecca Boger, Theresa Schwerin

“…Citizen science generates terabytes of raw numerical, text, and image data, the analysis of which requires automated techniques to process in an efficient manner. Conversely, AI computer vision technology can require tens of thousands of images during the training process, and citizen science projects are well suited to provide large libraries of data. …”
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Preliminary study on the connotation of flexibility in dynamically reconfigurable networks by Dong-nian CHENG, Bin-qiang WANG, Bao-jin WANG, Jian-hui ZHANG

“…,the dynamic data channel varying with service demands,of reconfigurable networks was first exhibited and explained.Four dominant implications of the flexibility were then revealed as gradually mapping to demands,keeping global performance good,implicit isolation,and self-driven control.Finally,related quantitative models and methods for both determining the stable deviation of outcomes from demands and computing the volume of resource dynamically reconfigured were investigated by using the exponentially moving average,the n:m voting scheme,Markov decision processes (MDP) and reinforcement learning,respectively.…”
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UrduSER: A comprehensive dataset for speech emotion recognition in Urdu languageMendeley Data by Muhammad Zaheer Akhtar, Rashid Jahangir, QuratUl Ain, Muhammad Asif Nauman, Mueen Uddin, Syed Sajid Ullah

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End-to-End Detector Optimization with Diffusion Models: A Case Study in Sampling Calorimeters by Kylian Schmidt, Krishna Nikhil Kota, Jan Kieseler, Andrea De Vita, Markus Klute, Abhishek, Max Aehle, Muhammad Awais, Alessandro Breccia, Riccardo Carroccio, Long Chen, Tommaso Dorigo, Nicolas R. Gauger, Enrico Lupi, Federico Nardi, Xuan Tung Nguyen, Fredrik Sandin, Joseph Willmore, Pietro Vischia

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