Point Cloud Data Mining With HD Map Priors for Making Synthetic Forest Datasets by Kasparas Karlauskas, Julius Gelsvartas, Povilas Treigys

“…However, substantial amounts of annotated and diverse data are necessary to develop classical and machine learning algorithms for individual tree segmentation. While 3-D point clouds are already notorious for how difficult it is to annotate them, high-altitude airborne laser scans make the task even more difficult due to their lower point density. …”
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Spatial Association Network of Land-Use Carbon Emissions in Hubei Province: Network Characteristics, Carbon Balance Zoning, and Influencing Factors by Yong Huang, Zhong Wang, Heng Zhao, Di You, Wei Wang, Yanran Peng

“…To further examine the network dynamics, link prediction algorithms are employed to anticipate potential emission connections, while quadratic assignment procedure (QAP) regression analyzes how intercity differences in socioeconomic, ecological, and land-use attributes influence LUCE connectivity. …”
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Fully Integrated Passive UHF RFID Tag for Hash-Based Mutual Authentication Protocol by Shugo Mikami, Dai Watanabe, Yang Li, Kazuo Sakiyama

“…Passive radio-frequency identification (RFID) tag has been used in many applications. While the RFID market is expected to grow, concerns about security and privacy of the RFID tag should be overcome for the future use. …”
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AI-Driven Ground Points Extraction for Rugged Terrains in Coastal Landscape – A Case Study by N. Manikkavasagam, M. Rajkumar, S. Nagarajan, P. DeWitt

“…To quantify the volumetric loss of sand, the ground and non-ground features should be separated, and erosion could be quantified using the extracted ground features. While there are several algorithms available for ground and non-ground classification, most tend to remove valid ground points that are crucial in accurate volumetric loss and gain estimates. …”
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Who decides what is read on Goodreads? Uncovering sponsorship and its implications for scholarly Research by Yuerong Hu, Jana Diesner, Ted Underwood, Zoe LeBlanc, Glen Layne-Worthey, John Stephen Downie

“…Additionally, it illuminates the rise of sponsored content while contributing to broader discussions on computational approaches to digital economies of prestige and the responsible use of platform-mediated cultural datasets across disciplines.…”
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Deciphering the Role of Artificial Intelligence in Medical Sciences: An Update by Siddhant Khanna, Merajul Haque Siddiqui, Shalini Bhushan, Rahul Saxena

“…Better patient-physician communication, remote patient treatment, transcribing prescriptions and other medical documents, and ethical dilemmas are all aided by AI. While humans are still faster at some jobs than computers, the accuracy of modern computer algorithms has lately surpassed that of human experts in the medical sciences. …”
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Wide-Angle Image Distortion Correction and Embedded Stitching System Design Based on Swin Transformer by Shiwen Lai, Zuling Cheng, Wencui Zhang, Maowei Chen

“…Experiments on synthetic and real-world datasets show that the method outperforms mainstream algorithms, with PSNR gains of 3.28 dB and 2.18 dB on wide-angle and fisheye images, respectively, while maintaining real-time performance. …”
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Enhanced Visible Light Communication for Real-Time Audio With Interference-Resilient Protocols by Kanchana Chathurangi Ahangama, Hemali Pasqual, Chinthaka Premachandra, H. Waruna Haripriya Premachandra

“…Furthermore, synchronization errors are reduced by 66.7%, while the mean opinion score (MOS) reaches 4.8, and the objective difference grade (ODG) improves to -0.5. …”
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Assessing uncertainties in parton showers at double logarithmic accuracy for jet quenching studies by Carlota Andres, Liliana Apolinário, Néstor Armesto, André Cordeiro, Fabio Dominguez, José Guilherme Milhano

“…These are coupled with two kinematic reconstruction schemes defined by different phase-space constraints. We show that, while global features are relatively stable, differences emerge in the temporal evolution of the cascade. …”
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Predictive framework of vegetation resistance in channel flow by Fengcong Jia, Weijie Wang, Yu Han, Jiayu Du, Yue Zhang, Zihan Liu, Hairong Gao

“…To improve predictive performance, optimization algorithms such as PSO, WSO, and RIME were applied. …”
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A True Random Number Generator Based on Race Hazard and Jitter of Braided and Cross-Coupled Logic Gates Using FPGA by Hossam O. Ahmed, Donghoon Kim, William J. Buchanan

“…The B+HCCES module demonstrates an enhanced throughput of 3.33 times compared to the state-of-the-art, while still maintaining a comparably lightweight architecture. …”
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Numerical analysis of geometrical configuration effects on near-field shockwave propagation in CL-20 based underwater explosives by Ji-ping Chen, Jun Wang, Xian-pi Zhang, Yan-jie Zhao, Xing-xing Wu, Fang-zhou Zhu, Jun Yu

“…The computational framework implements algorithmic initiation modeling for detonation processes, coupled with a front-tracking methodology employing the modified ghost fluid method to resolve discontinuities at immiscible phase boundaries. …”
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Correlation of Acetabular Cup Placement Angles Between an Artificial Intelligence-Powered System Using a Smartphone and Human Measurements by Sachiyuki Tsukada, MD, PhD, Hiroyuki Ogawa, MD, Masayoshi Saito, MD, Naoyuki Hirasawa, MD, PhD

“…Background: An automated measurement system for the placement angles of acetabular cup in total hip arthroplasty prostheses was developed utilizing artificial intelligence (AI) algorithms. The AI-powered system enables immediate measurement by capturing an anteroposterior pelvic X-ray through a smartphone camera. …”
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Comparative Analysis of Audio Features for Unsupervised Speaker Change Detection by Alymzhan Toleu, Gulmira Tolegen, Rustam Mussabayev, Alexander Krassovitskiy, Bagashar Zhumazhanov

“…These findings offer valuable insights into the impact of feature selection on unsupervised SCD, providing guidance for the development of more robust and accurate algorithms for practical applications.…”
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Assessment and Experimental Validation of Grid-Forming Inverters’ Capability Counteracting Low-Frequency Oscillations by Markel Zubiaga, Ander Ordono, Alain Sanchez-Ruiz, Miren T. Bedialauneta, Paula Castillo

“…GFM control inherently provides inertia and affects small-signal stability, but implementing power oscillation damping (POD) algorithms in these inverters presents challenges, particularly regarding active-power-based ones (POD-P). …”
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Efficient guided inpainting of larger hole missing images based on hierarchical decoding network by Xiucheng Dong, Yaling Ju, Dangcheng Zhang, Bing Hou, Jinqing He

“…Abstract When dealing with images containing large hole-missing regions, deep learning-based image inpainting algorithms often face challenges such as local structural distortions and blurriness. …”
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Comprehensive VR dataset for machine learning: Head- and eye-centred video and positional dataThe Adaptive Mind Datahub by Alexander Kreß, Markus Lappe, Frank Bremmer

“…Using a VR motion platform, participants navigated these environments freely while their eye movements and positional data were captured and stored in CSV format. …”
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DIO-SLAM: A Dynamic RGB-D SLAM Method Combining Instance Segmentation and Optical Flow by Lang He, Shiyun Li, Junting Qiu, Chenhaomin Zhang

“…Feature points from moving objects can negatively impact the accuracy of Visual Simultaneous Localization and Mapping (VSLAM) algorithms, while detection or semantic segmentation-based VSLAM approaches often fail to accurately determine the true motion state of objects. …”
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Resilience of Machine Learning Models in Anxiety Detection: Assessing the Impact of Gaussian Noise on Wearable Sensors by Abdulrahman Alkurdi, Jean Clore, Richard Sowers, Elizabeth T. Hsiao-Wecksler, Manuel E. Hernandez

“…This analysis highlights the need for more robust algorithms capable of maintaining accuracy in noisy, real-world environments and emphasizes the importance of considering environmental factors in the development of wearable anxiety detection systems.…”
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Target identification of natural products in cancer with chemical proteomics and artificial intelligence approaches by Guohua Li, Qian Shi, Qibiao Wu, Xinbing Sui

“…AI-driven models, especially machine learning algorithms, have proven effective in processing complex proteomic data and predicting potential NP-protein interactions. …”
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