On the Use of Azimuth Cutoff for Sea Surface Wind Speed Retrieval From SAR by Yuting Zhu, Giuseppe Grieco, Jiarong Lin, Marcos Portabella, Xiaoqing Wang

“…The methodology probabilistically combines SAR data with ancillary meteorological information and optimizes the retrieval process through a cost function that leverages the sensitivity of the azimuth cutoff to changes in wind vector fields. …”
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Combination of Conditioning Factors for Generation of Landslide Susceptibility Maps by Extreme Gradient Boosting in Cuenca, Ecuador by Esteban Bravo-López, Tomás Fernández, Chester Sellers, Jorge Delgado-García

“…Additionally, a hyperparameter tuning process of XGBoost has been employed in order to optimize the predictive and computational performance of each model. …”
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Sentinel lymph node biopsy for breast cancer using indocyanine green fluorescence visualization by A. D. Zikiryakhodzhaev, E. K. Saribekyan, D. V. Bagdasarova, L. V. Malishava, F. N. Usov, M. V. Starkova

“…The study included 40 breast cancer patients with the prevalence of the cTis-2N0M0 process. 1 ml of Indocyanine Green (ICG) aqueous solution was administered periareolarly and subcutaneously from the tumor side with total drug dose of 5 mg. …”
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Comparative Analysis of Conventional and Focused Data Augmentation Methods in Rib Fracture Detection in CT Images by Mehmet Çağrı Göktekin, Evrim Gül, Feyza Aksu, Yeliz Gül, Metehan Özen, Yusuf Salik, Merve Kesim Önal, Engin Avci

“…<b>Background/Objectives</b>: Rib fracture detection holds critical importance in the field of medical image processing. <b>Methods</b>: In this study, two different data augmentation methods, traditional data augmentation (Albumentations) and focused data augmentation (focused augmentation), were compared using computed tomography (CT) images for the detection of rib fractures on YOLOv8n, YOLOv8s, and YOLOv8m models. …”
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CrackdiffNet: A Novel Diffusion Model for Crack Segmentation and Scale-Based Analysis by Yunlong Song, Yumeng Su, Shiying Zhang, Ruilin Wang, Youling Yu, Weiping Zhang, Qi Zhang

“…Deep learning has made remarkable progress in the field of crack segmentation, particularly in handling large-scale datasets and complex images, owing to the substantial computational power currently available. However, existing methods still face significant challenges when processing images with low contrast, fine cracks, or strong noise interference. …”
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Psychophysiological changes during workspace virtualization by I. V. Tarasova, M. S. Nikitenko, O. A. Trubnikova, I. N. Kukhareva, D. S. Kupriyanova, A. S. Sosnina, O. L. Barbarash

“…All participants had higher education, normal or corrected to normal vision, and were experienced computer users. Psychometric testing included a neurological examination, assessment of functional and feedback-related brain activity (reaction time, errors, and missed signals) and attention span, quantification of processed symbols in the 1st and 4th minutes of Bourdon test, analysis of short-term memory (10 words, 10 numbers and 10 meaningless syllables memorization) and spatial perception, and multi-channel electroencephalography recording in rest.Results. …”
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Pharmacophore-based approach for the identification of prospective UDP-2,3-diacylglucosamine hydrolase (LpxH) inhibitor from natural product database against Salmonella Typhi by Divyapriya Karthikeyan, Sanjit Kumar, NS Jayaprakash

“…This study illustrates how computational techniques, such as MD simulations and pharmacophore modeling, can speed up drug discovery, especially in the fight against antibiotic resistance.…”
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Robust visual tracking using temporal regularization correlation filter with high-confidence strategy by Xiao-Gang Dong, Ke-Xuan Li, Hong-Xia Mao, Chen Hu, Tian Pu

“…It employs temporal-confidence samples as a priori to guide the model update process and ensure its precision and consistency over a long period. …”
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Artificial Intelligence in the Oil and Gas Industry: Applications, Challenges, and Future Directions by Marcelo dos Santos Póvoas, Jéssica Freire Moreira, Severino Virgínio Martins Neto, Carlos Antonio da Silva Carvalho, Bruno Santos Cezario, André Luís Azevedo Guedes, Gilson Brito Alves Lima

“…The methodology involved a two-step process for analyzing AI applications. In the first step, an initial exploration of scientific articles in the Scopus database was conducted using keywords related to AI and computational intelligence, resulting in a total of 11,296 articles. …”
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Exploring the Antecedents of Artificial Intelligence Products’ Usage. The Case of Business Students by Rodney Duffett, Rodica Milena Zaharia, Tudor Edu, Raluca Constantinescu, Costel Negricea

“…Students not using smartwatches or personal computers are inclined to use AIPs more in general and for education. …”
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Analysis of diagnostic parameters of Truenat HPV for detecting Human papilloma virus: A study from a tertiary care hospital by Hemant G Deshpande, Prachi V Prasad, Manasi V Chavan, Charusheela R Gore, Chandrashekhar G Raut

“…The diagnostic parameters were computed using SPSS version 29.0.2.0 and Microsoft Excel. …”
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Active learning based surrogate ensemble assisted multi-objective optimization framework for reservoir water-flooding optimization by Lian Wang, Liang Zhang, Rui Deng, Jianhua Qu, Hehua Wang, Liehui Zhang, Xing Zhao, Bing Xu, Xindong Lv, Caspar Daniel Adenutsi

“…In this proposed ALSA-MOPO method, three frequently-used surrogate models, the radial basis function network, Gaussian process regression, and support vector regression are adopted to construct the surrogate ensemble. …”
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Development of an AI model for DILI-level prediction using liver organoid brightfield images by Shiyi Tan, Yan Ding, Wei Wang, Jianhua Rao, Feng Cheng, Qiuyin Zhang, Tingting Xu, Tianmu Hu, Qinyi Hu, Ziliang Ye, Xiaopeng Yan, Xiaowei Wang, Mingyue Li, Peng Xie, Zaozao Chen, Geyu Liang, Yuepu Pu, Juan Zhang, Zhongze Gu

“…Abstract AI image processing techniques hold promise for clinical applications by enabling analysis of complex status information from cells. …”
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A Review of Research on SLAM Technology Based on the Fusion of LiDAR and Vision by Peng Chen, Xinyu Zhao, Lina Zeng, Luxinyu Liu, Shengjie Liu, Li Sun, Zaijin Li, Hao Chen, Guojun Liu, Zhongliang Qiao, Yi Qu, Dongxin Xu, Lianhe Li, Lin Li

“…Specific solutions for current problems (complexity of data fusion, computational burden and real-time performance, multi-scenario data processing, etc.) are examined by categorizing and summarizing the body of the extant literature and, at the same time, discussing the trends and limitations of the current research by categorizing and summarizing the existing literature, as well as looks forward to the future research directions, including multi-sensor fusion, optimization of algorithms, improvement of real-time performance, and expansion of application scenarios. …”
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GDS-YOLOv7: A High-Performance Model for Water-Surface Obstacle Detection Using Optimized Receptive Field and Attention Mechanisms by Xu Yang, Lei Huang, Fuyang Ke, Chao Liu, Ruixue Yang, Shicheng Xie

“…Unmanned ships, equipped with self-navigation and image processing capabilities, are progressively expanding their applications in fields such as mining, fisheries, and marine environments. …”
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Evaluation of Measurement Uncertainty for the Wave Buoy Calibration Device Using a Vertical Lifting Method by Yafei Huang, Donglei Zhao, Chenhao Gao, Tian Yan, Lijun He

“…Additionally, a high-precision time calibration method synchronizes the time of the motor’s upper computer software and a frequency meter, minimizing indication error. …”
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Advanced active learning techniques for precision-driven machine-learned potentials in Sb2S3 by V. Priyadarshini, P. Nemthianhoi Zou, Debashish Dash, Sanskriti Mahata, Manwendra Chauhan, Kumar Akash

“…This iterative, data-efficient learning process not only significantly reduced computational expense but also yielded remarkable accuracy in predicting energies, atomic forces, and stress tensors. …”
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Optimal protection coordination for directional overcurrent relays in radial distribution networks with inverter-based distributed energy resources by Jie Li, Jingtong Feng, Min Huang, Shenquan Liu, Gang Wang

“…The Pareto-front of the proposed optimal protection coordination problem is obtained by the improved multi-objective particle swarm optimization, where a time–space section evaluation utilizes the K-means clustering method to improve the computational efficiency. Furthermore, an analytic hierarchy process and criteria importance through intercrieria correlation weights-based technique for order preference by similarity to ideal solution algorithm is proposed to determine the optimal directional overcurrent relay settings. …”
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Towards Hazard Analysis Result Verification for Autonomous Ships: A Formal Verification Method Based on Timed Automata by Xiang-Yu Zhou, Shiqi Jin, Yang Mei, Xu Sun, Xue Yang, Shengzheng Nie, Wenjun Zhang

“…The results disclose the significance of the collaborative work between safety and system engineering in the development of autonomous systems under the definition of human–computer interaction mode transformation. These findings also hold reference value for other intelligent systems with potential hazards.…”
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Supervisory Configuration of Deep Learning Networks for Plant Stress Detection and Synthetic Dataset Generation by J. Renan Velazquez-Gonzalez, Madain Perez-Patricio, J. A. de Jesus Osuna-Coutino, Jorge Luis Camas-Anzueto, Abiel Aguilar-Gonzalez, N. A. Morales-Navarro, Carlos A. Hernandez-Gutierrez

“…In computer vision, plant stress detection involves the identification and classification of crop stresses. …”
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