Features of efficient schemes of complex-shaped forging stamping in an open die designed using numerical simulation by A. V. Vovchenko, K. A. Kostenko, O. I. Katrich

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Lithium-Ion Battery State of Health Estimation Based on Feature Reconstruction and Transformer-GRU Parallel Architecture by Bing Chen, Yongjun Zhang, Jinsong Wu, Hongyuan Yuan, Fang Guo

“…This study proposes a method for estimating the state of health of lithium-ion batteries based on feature reconstruction and Transformer-GRU parallel architecture to solve the problems of noisy feature data and the poor applicability of a single model to different types and operating conditions of batteries. …”
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Image small target detection in complex traffic scenes based on Yolov8 multiscale feature fusion by Xuguang Chai, Meizhi Zhao, Jing Li, Junwu Li

“…Addressing the challenging issues in small target detection within complex traffic scenes, such as scale variation, complex background noise, and the problems of missed and false detections, this paper introduces a Multi-Scale Feature Fusion YOLOv8 (MSFF-YOLOv8) approach. …”
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Design features of a granular-propellant supply system and an experimental setup for analyzing bulk materials outflow by A. V. Elkin, V. I. Malinin, G. A. Dotkin, M. D. Zorin, M. Yu. Hramtsov, R. D. Gubin

“…An analysis of the design features of a system for supplying granular propellant to the rocket engine combustion chamber was carried out and requirements for this system were formulated. …”
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Precision Measurement and Feature Selection in Medical Diagnostics using Hybrid Genetic Algorithm and Support Vector Machine by Gowri Subadra K, Sathish Babu P

“…This study introduces a hybrid feature selection method based on genetic algorithm (GA) and Bucket of Models (BoM) approach to improve breast cancer detection and classification. …”
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Advanced Heart Disease Prediction Through Spatial and Temporal Feature Learning with SCN-Deep BiLSTM by Vivek Pandey, Umesh Kumar Lilhore, Ranjan Walia

“…Abstract Heart disease prediction using machine learning methods faces various challenges, such as low data quality, missing irrelevant values, and underfit and overfit problems, which increase the time complexity and degrade the model's prediction performance. …”
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Name Entity Recognition Tasks: Technologies and Tools by Nadezhda Stanislavona Lagutina, Andrey Mikhaylovich Vasilyev, Daniil Dmitrievich Zafievsky

“…For each category the authors discuss the quality of the solution, features of the methods, problems, and limitations. …”
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Intelligent robot chair with communication aid using TEP responses and higher order spectra band features by Sathees Kumar Nataraj, Paulraj Murugesa Pandiyan, Sazali Bin Yaacob, Abdul Hamid bin Adom

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Features of development of boil-off reciprocating compressors used in complexes for storage and transportation of liquid natural gas by A. V. Burakov, A. A. Kotlov, L. G. Kuznetsov

“…The authors describe main features of boil-off compressors, the required parameters of reciprocating steam gas compressors, the main problems of calculating compressors in various systems, design methods for reciprocating compressors that improve the reliability of steam gas compressors to improve efficiency of liquefied natural gas storage and transportation systems. …”
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A Data-Synthesis-Driven Approach to Recognize Urban Functional Zones by Integrating Dynamic Semantic Features by Xingyu Liu, Yehua Sheng, Lei Yu

“…Firstly, representation learning is used to mine the spatial semantic features, activity temporal features, and activity semantic features that are embedded in POI data and social media check-in data from spatial, temporal, and semantic aspects. …”
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An optimized feature selection using triangle mutation rule and restart strategy in enhanced slime mould algorithm by Ibrahim Musa Conteh, Gibril Njai, Abass Conteh, Qingguo Du

“…The results illustrate that TRSMA is powerful and can handle complex high-dimensional optimization problems.…”
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BBDetector: Intelligent border binary detection in IoT device firmware based on a multidimensional feature model. by Shudan Yue, Guimin Zhang, Qingbao Li, Wenbo Zhang, Xiaonan Li, Weihua Jiao

“…However, the existing methods for border binary detection have problems such as insufficient feature characterization, high false-negative rates, and low intelligence levels. …”
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Specific Features of Internal Waves Manifestation in the Near Mouth Zone of the Danube by High-ResolutionSatellite Data by Medvedeva Alesia, Mikhailichenko Tamara, Stanichny Sergey, Bulatov Vitaly

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Abnormal Sound Detection of Wind Turbine Gearboxes Based on Improved MobileFaceNet and Feature Fusion by Yuelong Liang, Haorui Liu, Yayu Chen

“…To solve problems such as the unstable detection performance of the sound anomaly detection of wind turbine gearboxes when only normal data are used for training, and the poor detection performance caused by the poor classification of samples with high similarity, this paper proposes a self-supervised wind turbine gearbox sound anomaly detection algorithm that fuses time-domain features and Mel spectrograms, improves the MobileFaceNet (MFN) model, and combines the Gaussian Mixture Model (GMM). …”
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Prediction of suicidal ideation and attempt in 9 and 10 year-old children using transdiagnostic risk features. by Gareth Harman, Dakota Kliamovich, Angelica M Morales, Sydney Gilbert, Deanna M Barch, Michael A Mooney, Sarah W Feldstein Ewing, Damien A Fair, Bonnie J Nagel

“…Important features from these models included feelings of loneliness and worthlessness, impulsivity, prodromal psychosis symptoms, and behavioral problems. …”
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Automatic Extraction of Water Body from SAR Images Considering Enhanced Feature Fusion and Noise Suppression by Meijun Gao, Wenjie Dong, Lifu Chen, Zhongwu Wu

“…Though great progress has been achieved, there are still some challenges, such as an insufficient ability to extract water edge details, an inability to detect small water bodies, and a weak ability to suppress background noise. To address these problems, we propose the Global Context Attention Feature Fusion Network (GCAFF-Net) in this article. …”
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ECOLOGICAL RESILIENCE ASSESSMENT FEATURES OF NATURAL-INDUSTRIAL SYSTEMS BY INDEX-BASED METHODS USING SOFT COMPUTING by A.V. Masloboev

Improved YOLOv8 Network of Aircraft Target Recognition Based on Synthetic Aperture Radar Imaging Feature by Xing Wang, Wen Hong, Yunqing Liu, Guanyu Yan, Dongmei Hu, Qi Jing

“…The grayscale images of passenger aircraft targets obtained via Synthetic Aperture Radar (SAR) have problems such as complex airport backgrounds, significant speckle noise, and variable scales of targets. …”
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FEATURES OF THE ASSESSMENT OF THE FINANCIAL CONDITION OF LIFE INSURANCE COMPANIES IN AN INDEPENDENT REGION: PRIORITIES FOR INSURANCE BUSINESS AND CLIENTS by Yu. M. Melnychuk, O. B. Shkolenko, O. A. Vinnytska, T. O. Korniienko

“… An article on the subject: «Features of the assessment of the financial condition of life insurance companies in an independent region: priorities for insurance business and clients» highlights the focus on studying the problem of new approaches to assessing the financial situation of an insurance company in the transition of the region to a financially independent infrastructure. …”
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Autonomous Aerial Vehicle Object Detection Based on Spatial Perception and Multiscale Semantic and Detail Feature Fusion by Wei Rao, Siyuan Chen, Dan Li

“…Second, to improve the detection performance of DyHead and make the model lightweight, a new feature pyramid network (SDI-MBiFPN) in the Neck of YOLOv8s is proposed, which contains a Multiscale Bidirectional Feature Pyramid Network (BiFPN), called MBiFPN, and a feature fusion method based on the redesigned Semantic and Detail Fusion (SDI). …”
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