An efficient deep learning prognostic model for remaining useful life estimation of high speed CNC milling machine cutters by Hamdy K. Elminir, Mohamed A. El-Brawany, Dina Adel Ibrahim, Hatem M. Elattar, E.A. Ramadan

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Deep Learning-Based Multi-Floor Indoor Localization Using Smartphone IMU Sensors With 3D Location Initialization by Jin-Woo Kim, Yoan Shin

“…The proposed initial 3D position estimation method detects the initial floor using a deep learning model trained on magnetic field sequences from the user’s first 10 steps, and estimates the 2D position by comparing the current magnetometer data with a pre-built magnetic field map using the k-nearest neighbors algorithm. …”
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Collaborative Search Algorithm for Multi-UAVs Under Interference Conditions: A Multi-Agent Deep Reinforcement Learning Approach by Wei Wang, Yong Chen, Yu Zhang, Yong Chen, Yihang Du

“…To address these challenges, this paper proposes a novel multi-agent deep reinforcement learning (MADRL) framework for joint spectrum and search collaboration in multi-UAV systems. …”
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The emergence of Brucella canis as a public health threat in Europe: what we know and what we need to learn by Vitomir Djokic, Luca Freddi, Fabrizio de Massis, Elina Lahti, Marielle H. van den Esker, Adrian Whatmore, Anna Haughey, Ana Cristina Ferreira, Giuliano Garofolo, Falk Melzer, Flavio Sacchini, Ad Koets, Stephen Wyllie, Alain Fontbonne, Guillaume Girault, Acacia Ferreira Vicente, John McGiven, Claire Ponsart

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Large-area urban TomoSAR method with limited a priori knowledge and a complex deep learning model by Haoxuan Duan, Yuzhou Liu, Hong Zhang, Peifeng Ma, Zhongqi Shi, Zihuan Guo, Yixian Tang, Fan Wu, Chao Wang

“…However, existing TomoSAR height inversion methods do not fully leverage a priori knowledge, compromising the accuracy of deformation estimation; deep learning-based methods involve the integration of multiple steps, complicating the process. …”
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Machine Learning Aided Tapered Four-Port MIMO Antenna for V2X Communications With Enhanced Gain and Isolation by Nagesh Kallollu Narayanaswamy, Yazeed Alzahrani, Krishna Kanth Varma Penmatsa, Ashish Pandey, Ajay Kumar Dwivedi, Vivek Singh, Manoj Tolani

“…By leveraging machine learning, the final design was achieved more efficiently, significantly reducing the simulation time and enabling more precise parameter tuning for optimal performance. …”
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Timeseries Fault Classification in Power Transmission Lines by Non-Intrusive Feature Extraction and Selection Using Supervised Machine Learning by Rab Nawaz, Hani A. Albalawi, Syed Basit Ali Bukhari, Khawaja Khalid Mehmood, Muhammad Sajid

“…Performing specific operations on data in sequence of steps provided flexibility and adaptability in processing the data, making it easy to train, evaluate, and validate the learning algorithms. …”
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Toward Trustworthy Machine Learning for Daily Sediment Modeling in the Riverine Systems: An Integrated Framework With Enhanced Uncertainty Quantification and Interpretability by Z. J. Yue, N. N. Wang, B. D. Xu, X. Huang, D. M. Yang, H. B. Xiao, Z. H. Shi

“…To achieve trustworthy ML for riverine sediment timeseries predictions, this study proposes an integrated ML framework, enhancing key steps: feature selection, UQ, and interpretation. …”
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Land cover classification using Land Parcel Identification System (LPIS) data and open source Eo-Learn library by Fatih Fehmi Şimşek, Süleyman Savaş Durduran

“…The open source Eo-Learn library has been preferred because it provides great convenience to users in the classification process with ready-made machine learning models and easy access to satellite images, image processing steps (cloud masking, calculate index, feature extraction, temporal interpolation) are carried out in a certain workflow. …”
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PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF BERBASIS DISCOVERY LEARNING MENGGUNAKAN LECTORA INSPIRE UNTUK MEMFASILITASI KEMAMPUAN BERPIKIR KRITIS by Putri Wahyuni, Nanang Priatna, Jarnawi Afgani Dahlan

“…Critical thinking skills are important in developing learners ' skills in learning mathematics. The quality of student learning can be improved by teachers providing appropriate learning media to facilitate students ' critical thinking skills through the discovery learning learning model. …”
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PENGARUH STRATEGI PROBLEM BASED LEARNING BERBASIS ICT TERHADAP PEMAHAMAN KONSEP DAN KEMAMPUAN PEMECAHAN MASALAH FISIKA by I. M. Dwi, H. Arif, K. Sentot

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A systematic review of machine learning-based prognostic models for acute pancreatitis: Towards improving methods and reporting quality. by Brian Critelli, Amier Hassan, Ila Lahooti, Lydia Noh, Jun Sung Park, Kathleen Tong, Ali Lahooti, Nathan Matzko, Jan Niklas Adams, Lukas Liss, Justin Quion, David Restrepo, Melica Nikahd, Stacey Culp, Adam Lacy-Hulbert, Cate Speake, James Buxbaum, Jason Bischof, Cemal Yazici, Anna Evans-Phillips, Sophie Terp, Alexandra Weissman, Darwin Conwell, Philip Hart, Mitchell Ramsey, Somashekar Krishna, Samuel Han, Erica Park, Raj Shah, Venkata Akshintala, John A Windsor, Nikhil K Mull, Georgios Papachristou, Leo Anthony Celi, Peter Lee

“…Increasingly machine learning (ML) techniques are being used to develop high-performing prognostic models in AP. …”
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PEMBELAJARAN NARASI MENGGUNAKAN PENDEKATAN SAINTIFIK DI KELAS VII SMPN 20 KOTA SINGKAWANG by Martono Martono, Natalia Hesty Tri Handayani

“…The scientific learning approach is a learning process designed by teachers so that students are active in constructing procedures and principles through the steps of a scientific approach. …”
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Effects of 3R, 16S-2-hydroxyethyl apovincaminate (HEAPO), donepezil and galantamine on learning and memory retention in naïve Wistar rats by Dimitrova Darinka, Getova Damianka, Saracheva Kremena

“…The active avoidance test (shuttle box) and two passive avoidance tests (step-through and step-down) were performed according to the experimental design. …”
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SEMP-TA: A Novel Stock Market Prediction Approach Based on Stacking Ensemble Machine Learning for Effective Trend Analysis by Chanda Raj Kumar, S. Manikandan

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VR-based avatar videos as an effective tool for process training in the context of digitalization? by Sarah Depenbusch, Niclas Schaper, Mirko Schürmann, Jan-Philip Schumacher

“…Preliminary research has shown that the utilization of virtual reality (VR) environments, which visualize employees' workspaces and present VR avatars that demonstrate work process steps, can enhance employees' understanding of (future) work processes. …”
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ECGConVT: A Hybrid CNN and Vision Transformer Model for Enhanced 12-Lead ECG Images Classification by Mudassar Khalid, Charnchai Pluempitiwiriyawej, Abdulkadhem A. Abdulkadhem, Imran Afzal, Tien Truong

“…In order to meet the practical needs of clinical applications, we implemented a lightweight post-processing step to reduce the size of the model.…”
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TableBorderNet: A Table Border Extraction Network Considering Topological Regularity by Jing Yang, Shengqiang Zhou, Xialing Li, Yuchun Huang, Honglin Jiang

“…Accurate extraction of table borders in scanned road engineering drawings is crucial for the digital transformation of engineering archives, which is an essential step in the development of intelligent infrastructure systems. …”
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RGB and Point Cloud-Based Intelligent Grading of Pepper Plug Seedlings by Fengwei Yuan, Guoning Ma, Qinghao Zeng, Jinghong Liu, Zhang Xiao, Zhenhong Zou, Xiangjiang Wang

“…Grading and transplanting, as the final step before the sale of plug seedlings, categorizes seedlings into different grades to ensure consistent quality. …”
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Learning curve of a novice foot and ankle surgeon in minimally invasive calcaneal fracture surgery via the sinus tarsi approach by Younguk Park, Won-Tae Cho, Myungsub Lee, Jeyoon Lee, Young Wook Seo

“…Novice foot and ankle surgeons can achieve surgical proficiency in the sinus tarsi approach for calcaneal fracture fixation after approximately 20 to 26 cases. This learning curve was reflected by improved operative efficiency, reduced fluoroscopy use, and consistent radiographic correction of the Bohler angle, hindfoot varus angle, and posterior facet step-off.…”
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