Recognition of Cordyceps Based on Machine Vision and Deep Learning by Zihao Xia, Aimin Sun, Hangdong Hou, Qingfeng Song, Hongli Yang, Liyong Ma, Fang Dong

“…MRFPN is used to solve the problem of weak features. In N-CSPDarknet53, the Da-Conv module is proposed to address the background and color interference problems in shallow feature maps. …”
Get full text

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. …”
Get full text

Unread, yet preserved: A case study on survival of the 19th-century printed poetry by Antonina Martynenko

Get full text

Planning of the optimum route of movement of the pilotless flying machine by criterion of the minimum of the general expense of fuel by A. A. Zhuk, V. M. Buloichyk, S. V. Akulich

“…Given article is devoted features of the decision of a problem of planning of a route of a pilotless flying machine (UAV). …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Density Classification with Non-Unitary Quantum Cellular Automata by Elisabeth Wagner, Federico Dell’Anna, Ramil Nigmatullin, Gavin K. Brennen

“…The second is a new quantum model that is designed to demonstrate additional quantum features and is restricted to only two-body interactions. …”
Get full text

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. …”
Get full text

An enhanced tabu search algorithm for resource-constrained project scheduling with a flexible project structure by Chunlai Yu, Xiaoming Wang, Qingxin Chen

“…A mathematical model based on the resource-flow formulation is developed to tackle this problem. Due to the NP-hard nature of the problem, this mathematical model can only be used to find the optimal solution to small-scale problems. …”
Get full text

PRESCHOOL ORGANISATIONAL CULTURE FROM THE PERSPECTIVE OF TEACHERS’ ATTITUDES TO ETHICAL DILEMMAS by E. V. Vorobyeva, T. N. Le-van

“…The diagnostic tools allowed the authors to establish that different solutions to resolving problem situations or ethical dilemmas are often derived from the different values prevailing among preschool teachers as representatives of the various types of organisational cultures. …”
Get full text

Interdisciplinary Distance Learning Workshop for IT Students by I. A. Andrianov, S. A. Rzheutskaya, M. V. Kharina

“…The purpose of research is to present proposals for the development and use of technologies for automatic checking of problem solutions in the process of forming professional competencies of students of IT-directions in the information educational environment. …”
Get full text

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. …”
Get full text

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.…”
Get full text

Channel estimation for reconfigurable intelligent surface-aided millimeter-wave massive multiple-input multiple-output system with deep residual attention network by Xuhui Zheng, Ziyan Liu, Shitong Cheng, Yingyu Wu, Yunlei Chen, Qian Zhang

“…Furthermore, to transfer the RIS channel feature maps extracted from the residual attention blocks (RABs) to the end of the estimator for accurate reconstruction, we propose a novel and effective feature fusion approach. …”
Get full text

Fusion of multi-scale and context for small target detection algorithm of unmanned aerial vehicle rescue by LIU Yuan, ZHAO Jing, JIANG Guoping, XU Fengyu, LU Ningyun

“…Aiming at the problem of insufficient feature information contained in small targets under unmanned aerial vehicle (UAV) images that led to insufficient detection accuracy of the model, a small target detection algorithm for UAV sea rescue images that integrated multi-scale and contextual information was proposed. …”
Get full text