PARAMETRIC SYNTHESIS OF MODELS FOR MULTICRITERIAL ESTIMATION OF TECHNOLOGICAL SYSTEMS by Vladimir Beskorovainyi

“…The goal of the study is to increase the efficiency of procedures for multicriteria estimation of TS properties at the stages of their design and reengineering using the technology of comparative parametric identification of the preferences of a decision maker. …”
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Urban bird diversity conservation plan based on the MaxEnt model and InVEST model: A case study of Jinan, China by Huixuan Yang, Haoyu Zhang, Yiran Wang, Xin Jia, Ling Hao, Ke Jin, Jing Song

“…Scientific evaluation of the conservation efficiency of protected areas within cities and identification of biodiversity conservation hotspots and conservation vacancy areas are of great significance to the sustainable development of urbanization. …”
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Resilience Analysis of Multi-Modal Transportation Networks: A Case Study of the Beijing-Tianjin-Hebei Region by Shuyan Zheng, Ye Zhang, Yanyan Chen

“…This paper proposes network modeling and resilience assessment methods for public transportation in urban agglomerations. …”
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3D-SCUMamba: An Abdominal Tumor Segmentation Model by Juwita, Ghulam Mubashar Hassan, Amitava Datta

“…The proposed model efficiently models global dependencies while maintaining stable training dynamics and efficient inference. …”
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Lithology Recognition Research Based on Wavelet Transform and Artificial Intelligence by FANG Dazhi, MA Weijun, YAN Xu, MAO Zheng, GAO Yang

“…Artificial intelligence models can effectively improve the efficiency of oil and gas field development and on-site construction. …”
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Research on Decision-Making Methods for Autonomous Navigation in Inland Tributary Waterways by Liwen Huang, Jiahao Chen, Luping Xu, Haoyu Li, Guozhu Hao, Yixiong He

“…The ship encounter process is analyzed, and a collision risk identification model based on trajectory derivation is proposed, which accounts for the uncertainty of ship maneuvering in tributary waterways. …”
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Optimization and engineering verification of excitation scheme for aircraft ground vibration test by CHEN Haoyu, WANG Binwen, SONG Qiaozhi, LI Xiaodong

“…Ground vibration test is an important part of aircraft model development and strength verification. In aircraft ground vibration test，an appropriate excitation scheme can significantly shorten the test's period and improve the accuracy of mode identification. …”
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In-frame amber stop codon replacement mutagenesis for the directed evolution of proteins containing non-canonical amino acids: identification of residues open to bio-orthogonal mod... by James A J Arpino, Amy J Baldwin, Adam R McGarrity, Eric M Tippmann, D Dafydd Jones

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Storm Surge Risk Assessment Based on LULC Identification Utilizing Deep Learning Method and Multi-Source Data Fusion: A Case Study of Huizhou City by Lichen Yu, Hao Qin, Wei Wei, Jiaxiang Ma, Yeyi Weng, Haoyu Jiang, Lin Mu

“…The ensembled model can be used for fast land use identification for vulnerability assessment, and the accuracy is improved by 3.3% compared to the traditional RGB input. …”
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Design Principles for Distributed Context Modeling of Autonomous Systems by Marvin Zager, Alexander Fay

“…This is achieved through a systematic review of the literature and the identification of meta-requirements by leveraging a generic context classification model, which serves as the foundation for deriving the design principles. …”
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Face autistic classification based on thermal using image ensemble learning of VGG-19, ResNet50v2, and EfficientNet by Junidar Junidar, Melinda Melinda, Dinda D. Diannuari, Donata D. Acula, Zulfan Zainal

“…The goal of this study was to evaluate and compare the performance of various Convolutional Neural Network (CNN) architectures in classifying thermal facial images of children with ASD, thereby facilitating the early identification of autistic traits. The tasks addressed include preprocessing a dataset of thermal facial images to prepare them for model training; conducting classification using three CNN architectures VGG-19, ResNet50V2, and EfficientNet; and assessing their performance based on accuracy, precision, recall, and F1-score metrics. …”
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A method for implementing a ship navigation simulator for the generation and utilization of virtual data by Min-Chul Kong, Myung-Il Roh

“…Finally, to provide validation data for critical navigation technologies, such as collision avoidance and ship detection, we generated a virtual automatic identification system and camera data. We implemented and operated a ship navigation simulator using this approach, and simulations conducted across various environments generated real-time sensor data efficiently, affirming the effectiveness of the proposed method.…”
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ML enhanced bioactivity prediction for angiotensin II receptor: A potential anti-hypertensive drug target by Jeyanthi Sankar, Venkatesh Rajendran, Beena Briget Kuriakose, Amani Hamad Alhazmi, Ling Shing Wong, Karthikeyan Muthusamy

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Separation of Cyclostationary Signals and Interference in Transmission Lines of Printed Circuit Boards Based on Independent Component Analysis by Yu. V. Kuznetsov, A. B. Baev, M. A. Konovalyuk, A. A. Gorbunova

“…To develop an approach to blind identification of a wireline communication signal measured by a digital oscilloscope in microstrip transmission lines.Materials and methods. …”
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Toward Intelligent Financial Advisors for Identifying Potential Clients: A Multitask Perspective by Qixiang Shao, Runlong Yu, Hongke Zhao, Chunli Liu, Mengyi Zhang, Hongmei Song, Qi Liu

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An Integrated Fault Identification Approach for Rolling Bearings Based on Dual-Tree Complex Wavelet Packet Transform and Generalized Composite Multiscale Amplitude-Aware Permutatio... by Wuqiang Liu, Xiaoqiang Yang, Shen Jinxing

“…This paper proposes an integrated fault identification technology for rolling bearings, which contains two parts: the fault predetection and the fault recognition. …”
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PigFRIS: A Three-Stage Pipeline for Fence Occlusion Segmentation, GAN-Based Pig Face Inpainting, and Efficient Pig Face Recognition by Ruihan Ma, Seyeon Chung, Sangcheol Kim, Hyongsuk Kim

“…PigFRIS employs state-of-the-art occlusion detection with the YOLOv11 segmentation model, a GAN-based inpainting reconstruction module using AOT-GAN, and a lightweight recognition module tailored for pig face classification. …”
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From Lab to Clinic: How Artificial Intelligence (AI) Is Reshaping Drug Discovery Timelines and Industry Outcomes by Doni Dermawan, Nasser Alotaiq

“…<b>Results:</b> AI methods included machine learning (ML) at 40.9%, molecular modeling and simulation (MMS) at 20.7%, and deep learning (DL) at 10.3%. …”
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Identification of a novel pyrrolo[2,3-b]pyridine compound as a potent glycogen synthase kinase 3β inhibitor for treating Alzheimer’s disease by Qing-Qing Xun, Jing Zhang, Lei Feng, Yu-Ying Ma, Ying Li, Xiao-Long Shi

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Game Theory Based Trust Model for Cloud Environment by K. Gokulnath, Rhymend Uthariaraj

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