Machine learning in dentistry: a scoping review. by Shrey Lakhotia, Hormazd Godrej, Amandeep Kaur, Chaitanya Sai Nutakki, Michelle Mun, Pascal Eber, Leo Anthony Celi

“…Future research should prioritize error explainability, outlier reporting, reproducibility, fairness, and prospective validation.…”
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Smooth-pursuit performance during eye-typing from memory indicates mental fatigue by Tanya Bafna-Rührer, Per Bækgaard, John Paulin Hansen

“…Gaze tracking has wide-ranging applications, with the technology becoming more compact and processing power reducing. …”
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Comparative Analysis of Oversampling and SMOTEENN Techniques in Machine Learning Algorithms for Breast Cancer Prediction by Tri Yulian, Erliyan Redy Susanto

“…SVM proved more effective in identifying both classes with minimal error, particularly when combined with oversampling. …”
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Improved trilateration for indoor localization: Neural network and centroid-based approach by Satish R Jondhale, Amruta S Jondhale, Pallavi S Deshpande, Jaime Lloret

“…Location awareness is the key to success to many location-based services applications such as indoor navigation, elderly tracking, emergency management, and so on. …”
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A Novel Methodology for the Stochastic Integration of Geophysical and Hydrogeological Data in Geologically Consistent Models by Alexis Neven, Philippe Renard

“…This study illustrates the applicability of this novel approach using actual data from the upper Aare Valley, Switzerland. …”
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Study on Gas-liquid Two-phase Flow in Parallel Rectangular Sudden Expansion Micro-channels by Liu Shuangting, Jiao Yonggang, Gao Bo, Wang Haihua

“…error is 18.56%, which is superior to the prediction accuracy in classical literature. …”
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Photogrammetric approach to detect road pavement friction. by Zdeneˇk Svatý, Pavel Vrtal, Roman Shults, Tomáš Kohout, Luboš Nouzovský, Tomáš Blodek, Karel Kocián

“…Additionally, the goal was to introduce and define limits for camera calibration applicable to similar cases of object measurements at close distances. …”
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Feature fusion and selection using handcrafted vs. deep learning methods for multimodal hand biometric recognition by Saliha Artabaz, Layth Sliman

“…Using the minimal optimal feature set, we achieve an equal error rate (EER) of 0.71%, demonstrating superior efficiency and accuracy.…”
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Improving the Accuracy of Flood Damage Assessments to Residential Structures via the Use of Experimental Data by Anna Katya Opel, Elizabeth Chisolm Matthews

“…., large groups of buildings), a significant analysis error is revealed with small‐scale (i.e., individual, or small groups of buildings) investigation. …”
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Penetrating Barriers: Microwave-Based Remote Sensing and Reconstruction of Audio Signals Through Walls by Kobi Aflalo, Zeev Zalevsky

“…This research contributes to the field of audio signal processing and has significant implications for security applications, emphasizing the need for tailored denoising strategies in varying environments or barriers.…”
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Benchmarking QCi's EmuCore Device for Time Series Forecasting by Babak Emami, Prajnesh Kumar, Wesley Dyk

“…Power measurements reveal EmuCore's advantages in edge computing applications, though opportunities for further energy optimizations remain. …”
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Effects of Advanced Training Techniques of Parachute and Weighted Vest on Sprint Performance of Sprinter by Anas Mehmood, Basit Ali, Syed Muhammad Bilal Gillani

“…The standard deviation of differences (0.05136 seconds) and standard error mean (0.00938 seconds) indicated consistent improvements across participants. …”
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Magic-Induced Computational Separation in Entanglement Theory by Andi Gu, Salvatore F.E. Oliviero, Lorenzo Leone

“…This separation induces a computational phase transition: entanglement-related tasks are efficiently solvable in the ED phase, but become intractable in the MD phase. Our results find applications in diverse areas such as quantum error correction, many-body physics, and the study of quantum chaos, providing a unifying framework for understanding the behavior of quantum systems. …”
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The efficiency of Color Models layers at Color Images as Cover in text hiding by Qasim Mohammed Hussein, Ahmed Saadi Abdullah, Nada Qasim Mohammed

“…Since the variety of applications of the color image there are several color models of color image. …”
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Direct Torque Control-Based Backstepping Speed Controller of Doubly Fed Induction Motors in Electric Vehicles: Experimental Validation by Ahmed Chantoufi, Aziz Derouich, Najib El Ouanjli, Said Mahfoud, Abderrahman El Idrissi, Ahmad F. Tazay, Mohamed I. Mosaad

“…Additionally, it has some features that render it suitable for EV applications. This study contributes to advancing the field of new control systems for a DFIM used in EV applications. …”
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Improving the performance of damage repair in thin-walled structures with analytical data and machine learning algorithms by Abdul Aabid, Md Abdul Raheman, Meftah Hrairi, Muneer Baig

“…Also, it is important to compare ML algorithms with analytical solutions in regression applications…”
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Revolutionizing Clear-Sky Humidity Profile Retrieval with Multi-Angle-Aware Networks for Ground-Based Microwave Radiometers by Yinshan Yang, Zhanqing Li, Jianping Guo, Yuying Wang, Hao Wu, Yi Shang, Ye Wang, Langfeng Zhu, Xing Yan

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Development of intelligent controller for high performance electric drives with hybrid CSA and RERNN technique by J. Prabhakaran, P. Thirumoorthi, M. Mathankumar, S. P. Mangaiyarkarasi

“…Abstract Electric drives play a crucial role in various industrial applications, requiring precise control and adaptability to changing parameters. …”
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GazeCapsNet: A Lightweight Gaze Estimation Framework by Shakhnoza Muksimova, Yakhyokhuja Valikhujaev, Sabina Umirzakova, Jushkin Baltayev, Young Im Cho

“…Gaze estimation is increasingly pivotal in applications spanning virtual reality, augmented reality, and driver monitoring systems, necessitating efficient yet accurate models for mobile deployment. …”
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Effortless alkalinity analysis using AI and smartphone technology, no equipment needed, from freshwater to saltwater by Zachary Y. Han, Zihan Zheng, Alan Y. Han, Huichun Zhang

“…Alkalinity is a crucial water quality parameter with significant environmental and engineered system applications. Various analysis methods exist, from traditional titrations to advanced spectrophotometric and electrochemical techniques, each with specific benefits and limitations. …”
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