Novel Statistical Analysis Schemes for Frequency-Modulated Thermal Wave Imaging for Inspection of Ship Hull Materials by Ishant Singh, Vanita Arora, Prabhu Babu, Ravibabu Mulaveesala

“…Among various adopted statistical post-processing techniques, pulse compression has been carried out using different methods, namely the offset removal with polynomial curve fitting and principal component analysis (PCA), which is an unsupervised learning approach for data reduction and offset removal with median centering for data standardization. …”
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A conceptual approach to material detection based on damping vibration-force signals via robot by Ahmad Saleh Asheghabadi, Mohammad Keymanesh, Saeed Bahrami Moqadam, Saeed Bahrami Moqadam, Saeed Bahrami Moqadam, Jing Xu

“…After recording the damping force signal and vibration data from the load cell and accelerometer caused by the metal appendage's impact, features such as vibration amplitude, damping time, wavelength, and force amplitude were retrieved. Three machine-learning techniques were then used to classify the objects' materials according to their damping rates. …”
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Identification and interpretive ranking of factors affecting the improvement of agility in business process management by Sadegh Hasani Moghadam, Mohammad Mahdi Mohtadi, Hossein Bazargani, Ali Taheri, Mohsen Miri

“…After that, the results showed that environmental awareness, knowledgeable and competent human resources, organizational learning dimension, contingent and appropriate structures, governance, improvisation-based strategy-making, technological infrastructure, dynamic adaptation, culture, and creative sustainability are prioritized, respectively.Originality/Value: Using soft operations research techniques, including the interpretive ranking process, in designing an agile model for managing business processes will significantly help process organizations in complex and dynamic environments to simultaneously exploit the benefits of stability in managing processes and dynamism coming from being agile.…”
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Multi-Disaster Hazard Analysis, The Case of Elazığ Province by Fethi Ahmet Canpolat

“…Various methods, such as the Analytic Hierarchy Process (AHP) and machine learning models, including the Random Forest algorithm, were employed to assess the severity and probability of exposure for each hazard type. …”
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BuDDI: Bulk Deconvolution with Domain Invariance to predict cell-type-specific perturbations from bulk. by Natalie R Davidson, Fan Zhang, Casey S Greene

“…We first validated that BuDDI could learn domain invariant latent spaces on data with matched samples across each source of variability. …”
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A Mixed Reality–Based Telesupervised Ultrasound Education Platform on 5G Network Compared to Direct Supervision: Prospective Randomized Pilot Trial by Minha Kim, Meong Hi Son, Suhyeon Moon, Won Chul Cha, Ik Joon Jo, Hee Yoon

“…These findings emphasize the platform’s potential to enhance the ultrasound training experience, suggesting more interactive and efficient learning.…”
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CryoProtect: A Web Server for Classifying Antifreeze Proteins from Nonantifreeze Proteins by Reny Pratiwi, Aijaz Ahmad Malik, Nalini Schaduangrat, Virapong Prachayasittikul, Jarl E. S. Wikberg, Chanin Nantasenamat, Watshara Shoombuatong

“…This study addresses this issue by predicting AFPs directly from sequence on a large set of 478 AFPs and 9,139 non-AFPs using machine learning (e.g., random forest) as a function of interpretable features (e.g., amino acid composition, dipeptide composition, and physicochemical properties). …”
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Bilingual hate speech detection on social media: Amharic and Afaan Oromo by Teshome Mulugeta Ababu, Michael Melese Woldeyohannis, Emuye Bawoke Getaneh

“…In this work, a Bilingual hate speech detection for Amharic and Afaan Oromo languages were conducted using four different deep learning classifiers (CNN, BiLSTM, CNN-BiLSTM, and BiGRU) and three feature extraction (Keras word embedding, word2vec, and FastText) techniques. …”
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Verbal and Nonverbal Languages in Online Thesis Examinations: An Illocutionary Act Study by Hastari Mayrita, Yundi Fitrah, Amirul Mukminin, Sunda Ariana, Marzul Hidayat, Fortunasari Fortunasari

“…The research findings have implications for reference and literature in linguistic theory, language skills (speaking and listening), and language learning with linguistic communication approach, both offline and online. …”
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Eigen Solution of Neural Networks and Its Application in Prediction and Analysis of Controller Parameters of Grinding Robot in Complex Environments by Shixi Tang, Jinan Gu, Keming Tang, Wei Ding, Zhengyang Shang

“…Lastly, to verify the eigen solution theory of neural networks, the proposed theory was applied to a novel prediction and analysis model of controller parameters of grinding robot in complex environments with deep neural networks and then build prediction model with deep learning neural networks for controller parameters of grinding robot. …”
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Optimising Health Literacy and Access of Service Provision to Community Dwelling Older People with Diabetes Receiving Home Nursing Support by Dianne Goeman, Sue Conway, Ralph Norman, Jo Morley, Rona Weerasuriya, Richard H. Osborne, Alison Beauchamp

“…The intervention included tailored diabetes self-management education according to preferred learning style, a standardised diabetes education tool, resources, and teach-back method. …”
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Chromosomal Regions in Prostatic Carcinomas Studied by Comparative Genomic Hybridization, Hierarchical Cluster Analysis and Self-Organizing Feature Maps by Torsten Mattfeldt, Hubertus Wolter, Danilo Trijic, Hans‐Werner Gottfried, Hans A. Kestler

“…Self‐organizing maps are artificial neural networks with the capability to form clusters on the basis of an unsupervised learning rule. We studied a group of 48 cases of incidental carcinomas, a tumour category which has not been evaluated by CGH before. …”
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A Named Entity Recognition Model for Chinese Electricity Violation Descriptions Based on Word-Character Fusion and Multi-Head Attention Mechanisms by Lingwen Meng, Yulin Wang, Yuanjun Huang, Dingli Ma, Xinshan Zhu, Shumei Zhang

“…The combined vectors are subsequently input into a BiGRU model for learning contextual features. The output from the BiGRU layer is then passed to an attention mechanism layer to obtain enhanced semantic features, which highlight key semantics and improve the model’s contextual understanding ability. …”
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Decoding communicative action vitality forms in social contexts by Radoslaw Niewiadomski, Radoslaw Niewiadomski, Amrita Suresh, Alessandra Sciutti, Giuseppe Di Cesare, Giuseppe Di Cesare

“…Finally, we also demonstrate that automatic recognition of VFs is possible using traditional machine learning methods, with an accuracy of 87.3%. Moreover, this recognition is also feasible for action types do not present in the training set, with an accuracy of 74.2%. …”
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Soft Skills for a Successful Engineering Graduate Career by A. P. Isaev, L. V. Plotnikov

“…The article substantiates the key role of the studentcentered approach to teaching and the corresponding teaching and learning technologies for the successful development of soft skills on the basis of different disciplines, including specialized and practice-oriented ones for the engineering profile. …”
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Proteogenomic analysis reveals Arp 2/3 complex as a common molecular mechanism in high risk pancreatic cysts and pancreatic cancer by A. K. M. Firoj Mahmud, Dina Gamaleldin Mansour Aly, Yelin Zhao, Mikael Benson, Martin Smelik, Oleg Sysoev, Hui Wang, Xinxiu Li

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THE ROLE OF ARTIFICIAL INTELIGENCE IN DEVELOPING COMMUNICATION SKILLS IN BUSINESS ENGLISH COURSES by Cristina-Laura ABRUDAN, Ioana-Claudia HOREA

“…Thus, it is essential for the teachers to create opportunities for new learning experiences that are relevant, meaningful and engaging to students. …”
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3D Semantic VSLAM of Indoor Environment Based on Mask Scoring RCNN by Chongben Tao, Yufeng Jin, Feng Cao, Zufeng Zhang, Chunguang Li, Hanwen Gao

“…In order to achieve object detection and semantic segmentation for both static objects and dynamic objects in indoor environments and then construct dense 3D semantic map with VSLAM algorithm, a Mask Scoring RCNN is used to adjust its structure partially, where a TUM RGB-D SLAM dataset for transfer learning is employed. Semantic information of independent targets in scenes provides semantic information including categories, which not only provides high accuracy of localization but also realizes the probability update of semantic estimation by marking movable objects, thereby reducing the impact of moving objects on real-time mapping. …”
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IDDMSLD: An image dataset for detecting Malabar spinach leaf diseasesMendeley Data by Adnan Rahman Sayeem, Jannatul Ferdous Omi, Mehedi Hasan, Mayen Uddin Mojumdar, Narayan Ranjan Chakraborty

“…This dataset will help the researchers for further research on Malabar Spinach disease detection implementing various efficient computational models and applying advanced machine learning techniques.…”
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Using artificial intelligence tools for automating the assessment of future computer science teachers' work by Oleksandr M. Spazhev, Oksana V. Klochko

“…In particular, the integration of the proposed system based on GitHub Copilot with learning management systems (LMS) and automated task verification systems. …”
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