Domain Knowledge Preservation in Financial Machine Learning: Evidence from Autocallable Note Pricing by Mohammed Ahnouch, Lotfi Elaachak, Erwan Le Saout

“…Machine learning applications in finance commonly employ feature decorrelation techniques developed for generic statistical problems. …”
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LSTM Logging Curve Prediction Method Based on Attention Mechanism by DAI Baoqing, PENG Jiaqiong, ZHANG Tianhuan, ZHAO Jiafeng, ZHAO Jianpeng

“…Starting from the perspective of memory learning, this paper first analyzes the feature extraction, weight matching and prediction error of traditional long short-term memory (LSTM) recurrent neural network in the process of logging curve prediction, and then explains the Attention mechanism (hereinafter referred to as the Att mechanism) plays an important role in solving such problems. …”
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Predicting cardiovascular risk with hybrid ensemble learning and explainable AI by Pooja Shah, Madhu Shukla, Neel H. Dholakia, Himanshu Gupta

“…The results highlight the potential of ensemble learning for addressing complex medical prediction problems and the need for models to be interpretable to ensure the trustworthiness of AI systems in healthcare settings. …”
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Visual information perception system of coal mine comprehensive excavation working face for edge computing terminal by Dongyang Zhao, Guoyong Su, Pengyu Wang

“…Firstly, the C3‐Fast feature extraction module, spatial pyramid pooling with cross‐stage partial connection (SPPCSPC) pooling module, bi‐directional feature pyramid network and lightweight decoupled detection head are used to optimize the YOLOv5s model, so as to construct the FSBD‐YOLOv5s multi‐object detection model. …”
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Class-weighted Dempster–Shafer in dual-level fusion for multimodal fake real estate listings detection by Maifuza Mohd Amin, Nor Samsiah Sani, Mohammad Faidzul Nasrudin

“…To address these problems, a dual-level fusion from multimodal for fake real estate listings detection is proposed. …”
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Leveraging retinanet based object detection model for assisting visually impaired individuals with metaheuristic optimization algorithm by Alaa O. Khadidos, Ayman Yafoz

“…Abstract Visually impaired individuals suffer many problems in handling their everyday activities like road crossing, writing, finding an object, reading, and so on. …”
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A Deep Curriculum Learning Semi-Supervised Framework for Remote Sensing Scene Classification by Qing Zhang, Jialu Chen, Baohua Yuan

“…Subsequently, a feature fusion method is used on deep features of different modalities to obtain deep fusion features with a strong discrimination ability and low dimensionality. …”
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Hybrid classical and quantum computing for enhanced glioma tumor classification using TCGA data by Emine Akpinar, Murat Oduncuoglu

“…In the classical part, an ensemble feature selection method was employed to identify the most informative molecular markers and clinical features in the TCGA. …”
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Predicting determinants of unimproved water supply in Ethiopia using machine learning analysis of EDHS-2019 data by Jember Azanaw, Mihret Melese, Eshetu Abera Worede

“…To examine the significance of features in tree-based models, permutation importance and SHAP values were utilized. …”
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CONCEPTUALIZING ENVIRONMENTAL POLICY: AN ANALYSIS OF RUSSIAN AND INTERNATIONAL LEGISLATION IN THE CONTEXT OF ENSURING ENVIRONMENTAL SECURITY IN THE ARCTIC by Elena M. Klyuchnikova, Vladimir A. Masloboev, Vladimir V. Dyadik, Andrey V. Masloboev, Natalia V. Dyadik, Anastasia N. Chapargina

Cardio-oncology: a cardiologist's view on the problem of endovascular treatment of patients with coronary artery disease and severe aortic valve stenosis combined with cancer: a li... by B. G. Alekyan, L. G. Gelesian

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Identifying student help-seeking behavior patterns and help-seeking tendencies from student problem-solving and help-seeking behavior data: An educational data mining approach by Chih-Yueh Chou, Wei-Han Chen

“…First, nine observable problem-solving and help-seeking features for identifying help-seeking behavior patterns were established. …”
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Digital visual media forensics by Chun-hui FENG, Zheng-quan XU, Xing-hui ZHENG, Li JIANG

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Multistage optimization of a non-institutional investor’s assents portfolio by M. A. Khalikov, D. A. Maksimov

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ENHANCING MOBILITY: DEVELOPING A PEDESTRIAN SOLUTION FOR LOCOMOTION CHALLENGES AND ROAD SAFETY by Aneta WNUK, Dagmara JANKOWSKA-KARPA

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Optimal control efforts to reduce the transmission of HPV in a fractional-order mathematical model by A. El-Mesady, Tareq M. Al-shami, Hegagi Mohamed Ali

“…Further, the fractional optimal control problem (FOCP) is implemented for the proposed problem by utilizing Pontryagin’s maximum principle (PMP) with three time-dependent control variables, which are the efforts to promote safe sexual habits such as using a condom or monogamy, vaccination for HPV, and preventive measures for cervical cancer such as early screening and using drugs that prevent cells from turning cancerous. …”
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EVALUATION OF VIBRIO CHOLERAE 569B INABA PROTECTIVE ANTIGENES, DERIVED ON INDUSTRIAL AND DEVELOPED BIOREACTORS AS WELL AS BY IMPROVED TECHNOLOGY by A. K. Nikiforov, M. N. Kireyev, O. V. Gromova, A. V. Komissarov, S. A. Yeriomin, O. A. Volokh, Yu. A. Aleshina, A. V. Gayeva, T. L. Zakharova, V. I. Pavlova

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Prospects for applying bim to create sustainable and energy-efficient buildings in different climatic conditions by M.N. S. Dewaraja, A. A. Semenov

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Assessment model of ozone pollution based on SHAP-IPSO-CNN and its application by Xiaolei Zhou, Xingyue Wang, Ruifeng Guo

“…Abstract The problem of ground-level ozone (O3) pollution has become a global environmental challenge with far-reaching impacts on public health and ecosystems. …”
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Strong measurement method of evidence conflict based on earth mover’s distance by Xin WANG, Wei FU

“…Aiming at the problem that the conflict factor k in D-S evidence theory cannot effectively measure the degree of conflict between two bodies of evidence (BoEs), the expected features of evidence conflict strong measurement function (ECSMF) were proposed, and then a new method of evidence conflict measurement based on earth mover’s distance (EMD)was put forward.The same number of focal elements between different BoEs was not required and the evidence conflict with non-singleton propositions could be directly calculate.The proposed method did not require The theory and experiments show that the size of conflict measure proposed can correctly represent the degree of conflict between two BoEs, and has all the expected features of ECSMF, which is an effective method of evidence conflict strong measurement.…”
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