Weakly-Supervised Deep Shape-From-Template by Sara Luengo-Sanchez, David Fuentes-Jimenez, Cristina Losada-Gutierrez, Daniel Pizarro, Adrien Bartoli

“…We propose WS-DeepSfT, a novel deep learning-based approach to the Shape-from-Template (SfT) problem, which aims at reconstructing the 3D shape of a deformable object from a single RGB image and a template. …”
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A novel wireless sensor network deployment for monitoring and predicting abnormal actions in medical environment and patient health state by R. Manikandan, S. Arunprakash, Rakan A. Alsowail, Tharani Pandiaraj

“…This study proposes a deep learning-based approach integrated with WSNs to address these challenges. …”
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High-Temperature Environmental Protection Metal Material 3D Printing Equipment Development and Process Research by Jiaofei Huo, Guangpeng Zhang

“…At present, 3D printing technology is becoming more and more popular, but the traditional learning method has some limitations. The price of 3D printing equipment is expensive, and there are some security risks in the process of learning operation. …”
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Development of Stacked Long Short-Term Memory Neural Networks with Numerical Solutions for Wind Velocity Predictions by Chih-Chiang Wei

“…For more accurate wind speed predictions during a typhoon episode, we used cutting-edge machine learning techniques to construct a wind speed prediction model. …”
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Extending Integration: Interventions Supporting Communication and Collaboration Between Patients with Neurological Diseases, Their Informal Caregivers and Healthcare Staff – a Scop... by Eskil Degsell, Lina Al-Adili, Petter Gustavsson, Mats Brommels, Petra Dannapfel

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A Real-Time Semantic Segmentation Method of Sheep Carcass Images Based on ICNet by Shida Zhao, Guangzhao Hao, Yichi Zhang, Shucai Wang

“…After that, we establish the ICNet model and train it with transfer learning. The segmentation accuracy, MIoU, and the average processing time of single image are then obtained and used as the evaluation standard of the segmentation effect. …”
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Research on Feature Extracted Method for Flutter Test Based on EMD and CNN by Hua Zheng, Zhenglong Wu, Shiqiang Duan, Jiangtao Zhou

“…The measured signals from a wind tunnel test were manually labeled “flutter” and “no-flutter” as the foundational dataset for the deep learning algorithm. After the normalized preprocessing, the intrinsic mode functions (IMFs) of the flutter test signals are obtained by the EMD method. …”
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Large Language Models for UAVs: Current State and Pathways to the Future by Shumaila Javaid, Hamza Fahim, Bin He, Nasir Saeed

“…Large Language Models (LLMs), a key component of AI, exhibit remarkable learning and adaptation capabilities within deployed environments, demonstrating an evolving form of intelligence with the potential to approach human-level proficiency. …”
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Brain Tumor Detection and Classification Using IFF-FLICM Segmentation and Optimized ELM Model by Suvashisa Dash, Mohammed Siddique, Satyasis Mishra, Demissie J. Gelmecha, Sunita Satapathy, Davinder Singh Rathee, Ram Sewak Singh

“…In recent years, machine learning classifiers have played an essential role in automatically classifying brain tumors. …”
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Skeptic’s Comment: What Questions ‘Academic Writing’ Does Not Answer by Alevtina S. Robotova

“…While admitting the value of analyzing foreign publications on AW, interpreting them and creating a teaching and learning system tailored for our national practice, the author states that the arguments to recognize AW as an independent academic discipline or a new research area are not sufficient. …”
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Multiple Morphological Constraints-Based Complex Gland Segmentation in Colorectal Cancer Pathology Image Analysis by Kun Zhang, JunHong Fu, Liang Hua, Peijian Zhang, Yeqin Shao, Sheng Xu, Huiyu Zhou, Li Chen, Jing Wang

“…In this project, we use deep learning to achieve stain separation by predicting the stain coefficient. …”
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The impact of using divergent thinking strategies on reading comprehension by A. Al Masri, T. Krishan, F. Al Talahin, S. Almassarweh

“…As for the educational supervisors, it puts in their hand’s strategies based on the theory of learning in the brain, including the divergent thinking strategies and how to employ them in reading lessons in order to develop reading comprehension. …”
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IMViT: Adjacency Matrix-Based Lightweight Plain Vision Transformer by Qihao Chen, Yunfeng Yan, Xianbo Wang, Jishen Peng

“…Transformers are becoming dominant deep learning backbones for both computer vision and natural language processing. …”
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Theoretical and practical aspects of professional psychological selection of candidates for training at higher education institutions of the Ministry of Internal Affairs of Ukraine by A. V. Larionova

“…The provision of high-quality professional psychological selection of candidates for higher education with specific learning conditions to improve the professional level of specialists in the police of Ukraine has been studied. …”
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Possibilities and limitations of applying ChatGPT in the educational process by Namesztovszk Zsolt B., Glušac Dragana R., Arsović Branka B., Kovacs Elvira I.

“…However, there are risks related to academic integrity issues, unfair learning assessment, inaccurate information, and over-reliance on AI. …”
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Integration of Geriatrics and Palliative Medicine Into a Medical Student Clinical Reasoning Curriculum by Julia Caton, Elaina Suridis, Gabrielle R. Goldberg

“…On retrospective pre-post surveys, student confidence in all the learning objectives significantly improved. Both students and faculty felt that the integration of geriatrics and palliative medicine was effective. …”
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Comparison Between Convolutional Neural Network CNN and SVM in Skin Cancer Images Recognition by Zaid Ghazi Hadi, Ahmed R. Ajel, Ayad Q. Al-Dujaili

“…Which is a supervised learning algorithm and it is used for classification of data for the different classes based on a separating hyperplane. …”
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Automated MSCT Analysis for Planning Left Atrial Appendage Occlusion Using Artificial Intelligence by Kilian Michiels, Eva Heffinck, Patricio Astudillo, Ivan Wong, Peter Mortier, Alessandra Maria Bavo

“…Methods. Different deep learning models were trained, validated, and tested using a cohort of 583 patients for which manually annotated data were available. …”
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A Novel AI-Based Integrated Cybersecurity Risk Assessment Framework and Resilience of National Critical Infrastructure by Sardar Muhammad Ali, Abdul Razzaque, Muhammad Yousaf, Sardar Sadaqat Ali

“…These threats affect both businesses and individuals. Machine learning (ML) and deep learning (DL) have emerged as vital tools in cybersecurity, enabling the analysis of extensive datasets to identify potential cyber threats. …”
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Assistive Devices Analysis for Visually Impaired Persons: A Review on Taxonomy by Sadia Zafar, Muhammad Asif, Maaz Bin Ahmad, Taher M. Ghazal, Tauqeer Faiz, Munir Ahmad, Muhammad Adnan Khan

“…In the second stage, state of the art machine learning techniques process these signals and extract useful information. …”
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