Deep generative abnormal lesion emphasization validated by nine radiologists and 1000 chest X-rays with lung nodules. by Shouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, Issei Sato, Soichiro Miki, Takeharu Yoshikawa, Hisaichi Shibata, Takahiro Nakao, Tomomi Takenaga, Hiroaki Koyama, Shinichi Cho, Noriko Kanemaru, Kotaro Fujimoto, Naoya Sakamoto, Tomoya Nishiyama, Hirotaka Matsuzaki, Nobutake Yamamichi, Osamu Abe

“…The proposed method was evaluated by an image interpretation experiment with nine radiologists and 1,000 chest radiographs, of which positive suspected lung cancer cases and negative cases were validated by computed tomography examinations. The sensitivity of EGGPALE-processed images showed +0.0559 average improvement compared with that of the original images, with -0.0192 deterioration of average specificity. …”
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Artificial intelligence in educational technology and transformative approaches to English language using fuzzy framework with CRITIC-TOPSIS method by Jingdan Liu, Xujie Bao, Liji Chen

“…Machine learning algorithms analyze student performance to tailor content delivery, while natural language processing facilitates interactive learning through voice assistants and essay evaluation. …”
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ARTIFICIAL INTELLIGENCE AND ITS ECONOMIC CHALLENGES IN EU COUNTRIES: IMPLICATION FOR THE REPUBLIC OF MOLDOVA by MAIA PISANIUC

“…Global projections also estimate that, by 2030, around 70% of businesses will use at least one artificial intelligence technology, such as computer vision, natural language processing, virtual assistants, automation/robotics and machine learning. …”
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A Study on Systematic Improvement of Transformer Models for Object Pose Estimation by Jungwoo Lee, Jinho Suh

“…Transformer architecture, initially developed for natural language processing and time series analysis, has been successfully adapted to various generative models in several domains. …”
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imanr: An R tool for the identification of Mexican native maize complexes by Arturo Sanchez-Porras, Aline Romero-Natale, Otilio Acevedo-Sandoval, Edlin Guerra-Castro

“…This study presents the development and evaluation of the imanr package, a computational tool based on Boosted Ensembles designed to automate the classification of racial complexes of native maize. …”
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A Dynamic Framework for Community-Facility Siting with Inter-Community Competition by Sisi Zhu, Haoying Han, Anran Dai

“…This framework includes the BOMSDM itself, the data collection and processing method, and the constrained NSGA-II as the computational algorithm. …”
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LipoFNT: Lipoylation Sites Identification with Flexible Neural Tree by Wenzheng Bao, Bin Yang, Rong Bao, Yuehui Chen

“…Such a modification takes part in several significant biological processions and plays a key role in the cellular level. …”
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Enhancing Lidar-Based 3D Classification Through an Improved Deep Learning Framework With Residual Connections by Shih-Lin Lin, Jun-Yi Wu

“…Although the increased network complexity and added layers lead to longer training times, the robust performance justifies the computational cost. The proposed VoxNetVR5 architecture and its associated hyperparameter optimizations offer a powerful and efficient solution for processing large-scale, high-dimensional LiDAR data, paving the way for safer and more reliable vehicle perception systems.…”
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Numerical modeling of delamination in composite panel under low-velocity contact with hail by V.T. Le, Т. V. Burnysheva

“…The elastic modulus ranged from 154 to 1214 MPa. Statistical data processing methods were applied to determine the variability intervals and average values of the elastic modulus for each interval at a freezing temperature of –20°C. …”
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Electrical and seismic refraction methods: Fundamental concepts, current trends, and emerging machine learning prospects by Adedibu Sunny Akingboye

“…Recently, machine learning (ML) techniques have been increasingly applied to these geophysical methods, particularly joint ERT and SRT analyses, optimizing nonlinear inversion processes and improving the interpretation of complex subsurface conditions. …”
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Artificial Intelligence in Criminalistics and Forensic Examination: Issues of Legal Personality and Algorithmic Bias by A. V. Kokin, Yu. D. Denisov

“…Active development and implementation of artificial intelligence technologies (AI) in various spheres of human activity have started the processes of qualitative change in public relations. …”
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Low-virtuality splitting in the Standard Model by Filippo Nardi, Lorenzo Ricci, Andrea Wulzer

“…Our results, combined with the known virtual contributions, could enable systematic predictions of the leading electroweak radiation effects in high-energy scattering processes, with particularly promising phenomenological applications to the physics of future colliders with very high energy such as a muon collider.…”
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RELIABILITY ANALYSIS OF TELESCOPIC ARM OF PIELINE-CATCHING VEHICLE BASED ON SEMI-SUPERVISED DEEP NEURAL NETWORK by YUAN Guozhi, LIU Wei, YAN Zilong, ZHANG Ruilin, ZHAO Mingxuan, SANG Jianbing

“…Semi-supervised learning processed the finite element simulation data, enhanced deep neural network training accuracy. …”
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Development and Analysis of a Methodology for Selecting Infrastructure Metrics for Predictive Incident Monitoring by Andrew Egorkin

“…The methodology is integrated into an industrial data processing pipeline (Prometheus → Kafka → Spark 3.5 → MLflow 2.11) and aligns with the data minimization principle outlined in GOST R 57580.1-2017 and FSTEC guidelines for information protection.…”
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Synthesis of Boiler Controllers of the Automatic Power Control System of Power Units by G. T. Kulakov, K. I. Artsiomenka

“…The application of these methods can improve the quality of power control and reduce fuel consumption in transient modes in comparison with the setting of these controllers of a typical power unit automatic power control system. The results of computer simulation of transient processes in CACS for input step surge and internal perturbation confirm the advantages of the methods are presented in this article.…”
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Correlation of neutrophil-to-lymphocyte ratio with chronic spontaneous urticarial: A case–control study by Veril Vaz, Michelle Serene Fernandes, Jacintha Martis, M. Ramesh Bhat, Rochelle Cheryl Monteiro, Jyothi Jayaraman, Sonal Fernandes, Prajna Shetty

“…The patients were categorized based on the UAS7. NLR values were computed and compared between the case and control groups. …”
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Stochastic Fractal Search for Bayesian Network Structure Learning Under Soft/Hard Constraints by Yinglong Dang, Xiaoguang Gao, Zidong Wang

“…A Bayesian network (BN) is an uncertainty processing model that simulates human cognitive thinking on the basis of probability theory and graph theory. …”
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Enhancement of electric field uniformity using 3-phase circular electrodes in RF heating applications by Jiyoung Moon, Bohwan Choi, Jinsoo Choi, Junhyeong Park, Byunghun Lee

“…Abstract This paper introduces a novel electrode structure designed to enhance electric field uniformity in radio frequency heating applications, such as food processing. The proposed 3-phase circular electrode structure, the top electrode, consists of innermost, middle, and outermost electrodes, with each electrode supplied with a voltage of a different phase. …”
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The Internet and the Nigerian Woman: A Case of Female Undergraduates by Joseph Wilson, Aisha Kolo Lawan

“…The Internet has drastically changed information and knowledge sharing processes globally. It is a widely accepted medium for transformation and empowerment. …”
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Urban change detection with airborne LiDAR for hostilities’ impact estimation: a case study of Kharkiv by Sergiy V. Kostrikov, Denys S. Serohin

“…The study utilizes a stand-alone application, developed by the authors, for processing Airborne LiDAR data. Calibrated models are applied to Kharkiv, comparing a 2019 survey as the primary dataset with field-documented military impacts from Fall 2022 as the secondary dataset. …”
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