Cancelable speaker identification system for the handicapped access to healthcare networks by Samia A. El-Moneim Kabel, Walid El-Shafai, Naglaa F. Soliman, Reem Alkanhel, Fathi E. Abd El-Samie

“…Abstract One of the most promising applications of speaker recognition technology is to assist individuals with disabilities. …”
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Modelling and Estimation of Interior Orientation of Non-Metric Cameras using Artificial Intelligence by Hasanain A. Ajjah, Ahmed H H Alboabidallah, Mamoun U. Mohammed, Awesar A. Hussain

“…Optimization was performed by Utilizing the Simulated Annealing algorithm based on stereo calibration to obtain the best possible values of these parameters that produce the minimum RMS-reprojection error attained. By The variance between the parameters from the pre-calibration process and estimated by an artificial intelligence system, The coefficient of determination in the IOPs (focal length R2 = 0.717 to 0.812, principal point (X, Y) R2 = (0.674 to 0.869, 0.504 to 0.613), Both radial and tangential coefficients, R2 was close to zero). …”
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Research on 3D Building Individualization Technology Based on Spatial Constraints by Z. Liu, L. Huo, T. Shen, F. Kong

“…Experimental results show that the proposed method achieves an IoU of 91.5% in commercial dense areas (a 21.3% improvement over traditional methods), reduces directional error to 3.2° (a 74% decrease), increases recall rate in occlusion scenes to 89.4%, and processes a single scene in only 218 seconds (a 32% reduction). …”
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Catalyzing Supply Chain Evolution: A Comprehensive Examination of Artificial Intelligence Integration in Supply Chain Management by Sarthak Pattnaik, Natasya Liew, Ali Ozcan Kures, Eugene Pinsky, Kathleen Park

“…AI has become pivotal in tackling various Supply-Chain Management challenges, notably enhancing demand forecasting precision and automating warehouse operations for improved efficiency and error reduction. However, a critical debate arises concerning the choice between less accurate explainable models and more accurate yet unexplainable models in Supply-Chain Management applications. …”
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Wi-Fi-Based Information Flow Topology for Effective Vehicle Platooning: Experimental Analysis and Implementation by R. S. Sandesh, Preeti Mohanty, Santhosh Krishnan Venkata

“…The field test averages at the same distances are 0.233 s, 0.673 s, and 0.783 s, indicating remarkable proximity and minimal error between the two datasets and thereby demonstrating practical suitability. …”
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Strontium isoscapes for provenance, mobility and migration: the way forward by Maximilian J. Spies, Amanda Alblas, Stanley H. Ambrose, Sarah Barakat, Ramiro Barberena, Clément Bataille, Gabriel J. Bowen, Kate Britton, Hayley Cawthra, Roger Diamond, Anthony Dosseto, Jane A. Evans, Erich Fisher, Kerryn Gray, Phoebe Heddell-Stevens, Emily Holt, Hannah F. James, Anneke Janzen, Mael Le Corré, Petrus le Roux, Julia Lee-Thorp, Alexander Mackay, Patricia J. McNeill, Janet Montgomery, Bedone Mugabe, Vicky M. Oelze, Michèle Pfab, Michael P. Richards, Celeste T. Samec, Francisca Santana-Sagredo, Alejandro Serna, Chris Stantis, Christophe Snoeck, Brian Stewart, Cameron Stuurman, Damon Tarrant, Adam G. West, Christine Winter-Schuh, Judith Sealy

“…The numerous sources of error involved in developing and applying isoscapes must be recognized to avoid over-interpreting data and spurious provenance precision. …”
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A comprehensive evaluation of the accuracy of satellite-based precipitation estimates over Thailand by Chanphit Kaprom, James Alexander Williams, Rajeshwar Mehrotra, Chainarong Ophaphaibun, Nutchanart Sriwongsitanon

“…The ensemble of multiple SPEs reduced individual errors, demonstrating their reliability in representing precipitation in Thailand. …”
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Real-Time Object Detection and Distance Measurement Enhanced with Semantic 3D Depth Sensing Using Camera–LiDAR Fusion by Ahmet Serhat Yildiz, Hongying Meng, Mohammad Rafiq Swash

“…The approaches are assessed based on extraction time, accuracy, and root mean squared error (RMSE). Bounding box-based methods, such as PbyP and CoRDE, consistently show slower extraction times compared to segmentation mask methods, with CeRDE being the most efficient in terms of computational speed. …”
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WearMoCap: multimodal pose tracking for ubiquitous robot control using a smartwatch by Fabian C. Weigend, Neelesh Kumar, Oya Aran, Heni Ben Amor

“…Our Upper Arm mode provides the most accurate wrist position estimates with a Root Mean Squared prediction error of 6.79 cm. To evaluate WearMoCap in more scenarios and investigate strategies to mitigate sensor drift, we publish the WearMoCap system with thorough documentation as open source. …”
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Seesaw-type force sensor with variable spring constant utilizing magnetic restoring force and external laser displacement measurement by Soya SATO, Makoto ASAI, Hidetoshi TAKAHASHI

“…Soft actuators have garnered significant attention for applications in medical and wearable devices owing to their lightweight properties and inherent safety. …”
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Software-Defined Radio-Based IEEE 802.15.4 SUN FSK Evaluation Platform for Highly Mobile Environments by Jaeseok Lim, Keito Nakura, Shota Mori, Hiroshi Harada

“…In laboratory experiments, the packet error rate characteristics required by IEEE 802.15.4 were achieved even at a transmission distance of >10 km at vehicular speeds of several tens of km/h.…”
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Flood extent mapping in SAR images using semi-supervised approach by Girisha S, Savitha G, Sughosh P

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Geometric Positioning Verification of Spaceborne Photon-Counting Lidar Data Based on Terrain Feature Identification by Cheng Wu, Qifan Yu, Shaoning Li, Anmin Fu, Mengguang Liao, Lelin Li

“…The horizontal positioning error in spaceborne photon point clouds seriously constrains their elevation accuracy. …”
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Integrated Dissemination System of Frequency, Time and Data for Radio Astronomy by Yufeng Chen, Bo Wang, Lijun Wang, Keith Grainge, Richard Oberland, Richard Whitaker, Althea Wilkinson

“…For radio telescope array applications, the precise time and frequency reference predominantly determines the quality of the observation. …”
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Single-Fiber Bi-Directional Burst-Mode EDFA for TWDM-PON by Zehao Xiao, Lilin Yi, Lei Xue, Weisheng Hu

“…For potential reflections caused by the absence of optical isolators, experimental results have demonstrated the degradation of receiver sensitivity at bit-error rate of <inline-formula><tex-math notation="LaTeX"> $1 \times 10^{-3}$</tex-math></inline-formula> is negligible with a reflection power up to &#x2212;14&#x00A0;dBm, which proves the promising applications in PONs of the proposed single-fiber bi-directional burst-mode EDFA.…”
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Self-driving lab for the photochemical synthesis of plasmonic nanoparticles with targeted structural and optical properties by Tianyi Wu, Sina Kheiri, Riley J. Hickman, Huachen Tao, Tony C. Wu, Zhi-Bo Yang, Xin Ge, Wei Zhang, Milad Abolhasani, Kun Liu, Alan Aspuru-Guzik, Eugenia Kumacheva

“…Finding reaction conditions for the synthesis of nanoparticles with targeted characteristics is a time-consuming and resource-intensive trial-and-error process, however closed-loop nanoparticle synthesis enables the accelerated exploration of large chemical spaces without human intervention. …”
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Distributed Adaptive Coding Optimization for IoT Using Fulcrum Code and Model-Agnostic Meta-Learning (MAML) in Ultra-Low Latency Environments by Yair Rivera Julio, Angel Pinto, Rodrigo Garcia, Jose Aguilar, Nelson A. Perez-Garcia

“…FEC and HARQ further balance error correction and retransmission overhead. Simulations show significant reductions in transmission time and energy consumption, particularly in high-packet-loss scenarios. …”
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Automating Colon Polyp Classification in Digital Pathology by Evaluation of a “Machine Learning as a Service” AI Model: Algorithm Development and Validation Study by David Beyer, Evan Delancey, Logan McLeod

“…Sensitivity and specificity error rates were very low. ConclusionsThis study demonstrates how accessible AutoML algorithms can readily be used in digital pathology to develop diagnostic AI models using whole-slide images. …”
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Predicting Three-Dimensional (3D) Printing Product Quality with Machine Learning-Based Regression Methods by Ahmet Burak Tatar

“…This study examines how printing parameters affect the roughness, tensile strength, and elongation of 3D-printed parts used in various applications. Machine learning-based regression models were employed to optimize product quality. …”
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Finger tracking for wearable VR glove using flexible rack mechanism by Roshan Thilakarathna, Maroay Phlernjai

“…Conclusions: The repeatability analysis revealed an aggregate error of 1.45 degrees in both the gripped and flat hand positions. …”
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