Payment Scheduling Problem with Multiple Modes for Activities to Maximize the Net Present Value of a Project by Somayeh Ghasedi, Behrouz Afshar-Nadjafi

“…In this paper, the multimode payment scheduling project is studied, which aims to maximize the net present value (NPV) of a project by deciding on payments and the start times of its activities. The problem is formulated mathematically from the point of view of the selected contractor of the project. …”
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The Problem of Expression of Speculative Concreteness in the “Phenomenology of Spirit” and Hegel’s Understanding of the Nature and Limits of Philosophical Knowledge by Vyacheslav I. Korotkikh

“…The rejection of intuition and the describing of the content of self-consciousness in the process of its social activity create the danger of losing the unity, which is an essential feature of philosophical knowledge. Hegel finds a solution to this problem in building a composition of the work that is based on the consistent distinction and interaction of the subjects of «experience», which play a different role in moving towards the common purpose. …”
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Evaluating metaheuristic solution quality for a hierarchical vehicle routing problem by strong lower bounding by Marduch Tadaros, Athanasios Migdalas, Nils-Hassan Quttineh, Torbjörn Larsson

“…The problem considers customer deliveries from a depot using heavy depot vehicles, swap bodies, optional switch points, and lighter local vehicles; a feature is that deliveries are made by both depot and local vehicles. …”
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PROBLEM PRACOWNICZEGO PODPORZĄDKOWANIA KADRY KIEROWNICZEJ NAJWYŻSZEGO SZCZEBLA W ORGANIZACJACH GOSPODARCZYCH – ARTYKUŁ DYSKUSYJNY by Tomasz Duraj

“… The Problem of Employment Subordination of Senior Management in Economic Organizations Summary The subject of this study is to show the doubts and controversies that appear in the doctrine of labor law and judicial decisions in the interpretation of employment subordination of senior management in economic organizations. …”
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PROBLEMS OF EVALUATING BLOOD PRESSURE MEASUREMENT IN MODERN CLINICAL TRIALS (THE CASE OF SPRINT STUDY RESULTS) by V. M. Gorbunov

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Mutation adaptive cuckoo search hybridized naked mole rat algorithm for industrial engineering problems by Rohit Salgotra, Supreet Singh, Pooja Verma, Laith Abualigah, Amir H Gandomi

“…Abstract Cuckoo Search (CS) is a popular algorithm used to solve numerous challenging problems. In the present work, a novel variant of CS is presented to eliminate its shortcomings. …”
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ETQ-Matcher: Efficient Quadtree-Attention-Guided Transformer for Detector-Free Aerial–Ground Image Matching by Chuan Xu, Beikang Wang, Zhiwei Ye, Liye Mei

“…UAV aerial–ground feature matching is used for remote sensing applications, such as urban mapping, disaster management, and surveillance. …”
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Statistical classification of erythrocytes in hereditary spherocytosis based on the spectral features of cell surfaces’ AFM images by I. E. Starodubtsev, Yu. S. Kharin, M. S. Abramovich

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Improved U-Net++ Semantic Segmentation Method for Remote Sensing Images by Yang Xu, Bin Cao, Hui Lu

“…Remote sensing image semantic segmentation has extensive applications in land resource planning and smart cities. Due to the problems of unclear boundary segmentation and insufficient Semantic information of small targets in high-resolution remote sensing images, an improved network TU net based on U-net++ is proposed. …”
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GA-PE-VMD and MSE Methods for Milling Chatter Feature Extraction of Thin-walled Parts by WANG Hanbin, LI Maoyue, LIU Xianli, WANG Zhixue, MENG Boyang

“…Chatter leads to poor surface quality, dimensional error and reducing the service life of tools and machines.Therefore, a reliable detection method is needed to identify chatter.Aiming at the problem of chatter detection in the milling process of thin-walled structures, a chatter feature extraction method of thin-walled parts based on optimal variational mode decomposition and multi-scale sample entropy is proposed.Firstly, in order to solve the problem of parameter selection in variational modal decomposition, a parameter adaptive method based on genetic algorithm optimization and minimum permutation entropy is proposed. …”
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A Feature Selection Approach to the Group Behavior Recognition Issue Using Static Context Information by Alberto Pozo, Miguel A. Patricio, Jesús García, José Manuel Molina

“…All this information is represented as a set of features by classification algorithms. This is a very high-dimensional problem, with which classification algorithms are unable cope. …”
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FEL-FRN: fusion ECA long-CLIP feature reconstruction network for few-shot classification by Yuanyuan Wang, Ao Zhang, Jiange Liu, Kexiao Wu, Hauwa Suleiman Abdullahi, Pinrong Lv, Yu Gao, Haiyan Zhang

“…To address this problem, we propose a model called FEL-FRN (fusion ECA Long-CLIP feature reconstruction network). …”
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Feature extraction of coal mine ventilator vibration signals based on improved variational mode decomposition by TAO Long, GUO Yanfei

“…Additionally, the signal processing speed of feature extraction methods based on generalized Variational Mode Decomposition (VMD) is unable to meet the requirements of rapid feature extraction of ventilator vibration signals. …”
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Distribution of local curvature values as a structural feature for off-line handwritten signature verification by V. V. Starovoitov, U. Akhundjanov

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Automated ECG Arrhythmia Classification Using Feature Images with Common Matrix Approach-Based Classifier by Ali Kirkbas, Aydin Kizilkaya

“…This paper seeks to solve the classification problem of cardiac arrhythmias by using a small number of electrocardiogram (ECG) recordings. …”
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Subway Platform Passenger Flow Counting Algorithm Based on Feature-Enhanced Pyramid and Mixed Attention by Jing Zuo, Guoyan Liu, Zhao Yu

“…In the proposed passenger flow counting algorithm, the feature-enhanced pyramid structure is used to retain the channel information of deep features and eliminate the aliasing effect caused by fusion to enhance the feature representation of the original image and effectively solve the scale problem. …”
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RESEARCH OF EARLY FAULT FEATURE EXTRACTION OF SOLAR WHEEL BASED ON PARAMETRIC ADAPTIVE ICEEMDAN AND MCKD by ZHAO Naizhuo, ZHAO Yumeng, MEN Chengfu

“…In order to solve the problem of difficult to accurately extract early faults of solar wheels under the strong noise background, an improved grey wolf algorithm (newGWO) was proposed to optimize and improve the improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) and the maximum correlated kurtosis deconvolution (MCKD) for early fault feature extraction of solar wheels.NewGWO was used to optimize the selection of parameters of the white noise amplitude weight and noise addition times that affected the decomposition effect.The fault vibration signal was decomposed by newGWO-ICEEMDAN, and the minimum envelope entropy was selected as the fitness function to obtain several related modal components.Then, the envelope spectrum peak factor was selected as the best modal component index.MCKD signals optimized by newGWO were enhanced for the selected optimal intrinsic mode function （IMF） components. …”
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Research on small target ship recognition based on feature fusion method and hybrid attention model by Ronghui YAN, Qian GUO, Ming LEI, Yanxiang CAI, Jianfeng YANG

“…ObjectiveThis paper addresses a problem affecting small target ship detection in which network models have a low recognition rate caused by the insignificance of features in small target ships. …”
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Anchor-Free Object Detection Algorithm Based on Dual-Angle Multi-Scale Feature Fusion by WANG Xiaoyu, WEI Yuxin, LU Jianyu, YU Yue

“… In response to the problem of insufficient feature extraction and insufficient detection accuracy in the anchor-free frame object detection algorithm CenterNet. …”
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A Clustering-Guided Integer Brain Storm Optimizer for Feature Selection in High-Dimensional Data by Jia Yun-Tao, Zhang Wan-Qiu, He Chun-Lin

“…For high-dimensional data with a large number of redundant features, existing feature selection algorithms still have the problem of “curse of dimensionality.” …”
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