Unmanned Aerial Vehicle Surveying and Mapping Trajectory Scheduling and Autonomous Control for Landslide Monitoring by Shifang Liao, Manzhu Ye, Rongcai Yuan, Wanzhi Ma

“…Real-time and efficient monitoring of geological disasters has received extensive attention in the application of UAV surveying and mapping control technology. …”
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Rice Plant Disease Detection using Convolutional Neural Networks by A. Bala Ayyappan, T. Gobinath, M. Kumar, A. Sivaramakrishnan

“…In this paper, we use Convolutional Neural Networks (CNNs) and deep learning approaches to identify various rice plant diseases like blast, brown spot and bacterial blight. The CNN model is trained on images of different plant diseases, and various models are evaluated to determine the most effective one for disease identification. …”
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Selection of dual-channel supply chain cooperation mode of older adults care service under the government subsidy strategy. by Tong Zhao, Qiaoming Hou

“…It not only enhances the advantages of differentiated dual-channel services but also promotes the efficient allocation of resources in elder care through the identification of suitable collaborative strategies.…”
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Deep reinforcement learning for integrated vessel path planning with safe anchorage allocation by Gil-Ho Shin, Hyun Yang

“…Experimental validation using Automatic Identification System (AIS) data demonstrated that the system successfully generated efficient routes while maintaining all safety distance requirements during both navigation and anchoring phases. …”
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Nickonyms of Classical Writers in Internet Discourse by Bral'nin Dmitriy

“…While the research refines the existing classification of nickonyms in relation to a narrow corpus of canonical literary figures, it lays foundations for comparative studies of other network anthroponyms. The model classical author – nickonym in a polycoded text could be used to design recognizable names for internet accounts with efficient identification markers.…”
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Classification and Recognition Method for Bearing Fault based on IFOA-SVM by Wei Zhang, Zhihua Ma

“…Finally， the experimental results show that the method can realize accurate and efficient identification of the fault features of bearing.…”
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Least square predicted acoustic signal based smart accidental management using multi-criterion asynchronous classifier by Rajesh Yadav, Pankaj Agarwal

“…It also gauges right turning areas and surface plane identification for improved stability. Implemented in Python with the Cupcarbon simulator, this model offers practical convenience. …”
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Performance Enhancement of EEG Signatures for Person Authentication Using CNN BiLSTM Method by Ashish Ranjan Mishra, Rakesh Kumar, Rajkumar Saini

“…Experimental results exhibit a notable improvement in accuracy and reliability compared to existing EEG authentication methods such as LOF, CNN, FCN, EfficientNet-B0, and BiLSTM. The results showcase the performance of the proposed deep learning model utilizing established metrics such as precision, sensitivity, specificity, and accuracy. …”
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Synthetic Training Datasets for Architectural Conservation: A Deep Learning Approach for Decay Detection by Giacomo Patrucco, Francesco Setragno, Antonia Spanò

“…Two classification scenarios were tested: a single-class model for structure recognition and a multi-class model for identifying degradation patterns, such as exposed reinforcement bars. …”
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Automatic description of rock thin sections: A web application by Stalyn Paucar, Christian Mejia-Escobar, Victor Collaguazo

“…A dataset of images and corresponding textual descriptions is used to train a hybrid deep learning model. Features extracted from the images using EfficientNetB7 are processed by a Transformer network to generate textual descriptions, which are then converted into verbal responses using a speech synthesis service. …”
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Adaptation and psychometric properties of the Multigroup Ethnic Identity Inventory in secondary education by S. Suherman, T. Vidákovich

“…The CFA validated the MEI2, with the goodness-of-fit index indicating that the model was both efficient and appropriate. The Kaiser-Meyer-Olkin (KMO) value was .885. …”
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A hybrid machine learning and ied-based fault detection scheme for microgrids by Hamid Radmanesh, Abolfazl Hadadi

“…Existing methods often struggle to achieve accurate and timely fault identification, necessitating the development of an efficient fault detection framework. …”
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Application of YOLO-based deep learning and UAV imagery in hybrid maize seed production by Marcelo Araújo Junqueira Ferraz, Pablo de Sousa Arantes, Adriano Teodoro Bruzi, Adão Felipe dos Santos

“…Therefore, an accurate identification of tassels is paramount for the efficient execution of detasseling. …”
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Research on the Method of Artificial Intelligence for Identifying Urban Land-Use Types Based on Areas of Interest (AOI) and Multi-Source Data by Miaoyi Li, Ningrui Zhu

“…Urban land-use types, a fundamental aspect of urban planning, land management, and the effective utilization of spatial resources, are exhibiting increasing complexity. Efficient and scientific identification of large-scale urban land-use types has become a major challenge in urban research. …”
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An inductive learning-based method for predicting drug-gene interactions using a multi-relational drug-disease-gene graph by Jian He, Yanling Wu, Linxi Yuan, Jiangguo Qiu, Menglong Li, Xuemei Pu, Yanzhi Guo

“…In view of this, this study, for the first time, proposed an inductive learning-based model for the precise identification of unseen DGIs. …”
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Research on Simulation and Dynamic Pressure Prediction of Pipeline Transient Conditions Based on Fluent and Deep Learning by Liu Feiyan, Lv Mou, Dong Shen, Li Hang, Lu Chenggang

“…The coupled application of the two models can realize the dynamic simulation and prediction of the pressure under the pipeline failure conditions, which can help to provide an important theoretical basis for the further development of scientific and efficient leakage state pattern identification and accurate leakage location through the transient pressure characterization, and provide effective technical support for water supply enterprises in leakage monitoring and control.…”
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Convolutional neural network for oral cancer detection combined with improved tunicate swarm algorithm to detect oral cancer by Xiao Wei, Liu Chanjuan, Jiang Ke, Ye Linyun, Gao Jinxing, Wang Quanbing

“…The current study employs a recently integrated model of an improved tunicate swarm algorithm to produce an efficient tool for improving a convolutional neural network and delivering an accurate cancer diagnostic system. …”
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Lung cancer screening with volume computed tomography is cost-effective in Greece. by Xuanqi Pan, Katerina Togka, Hilde Ten Berge, Lisa de Jong, Harry Groen, Maarten J Postma, Eleftherios Zervas, Ioannis Gkiozos, Christoforos Foroulis, Kyriaki Tavernaraki, Sofia Lampaki, Georgia Kourlaba, Antonios Moraris, Sofia Agelaki, Konstantinos Syrigos

“…<h4>Methods</h4>A validated model incorporating a decision tree and an integrated state-transition Markov model was used to simulate the identification, diagnosis, and treatments for a population at high risk of developing lung cancer, from a healthcare payer perspective. …”
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Enhanced convolutional neural network methodology for solid waste classification utilizing data augmentation techniques by Daniel Hogan Itam, Ekwueme Chimeme Martin, Ibiba Taiwo Horsfall

“…The increasing volume of solid waste generated globally necessitates efficient classification systems to enhance recycling and waste management processes. …”
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Assessment of Wind Shear Severity in Airport Runway Vicinity using Interpretable TabNet approach and Doppler LiDAR Data by Afaq Khattak, Jianping Zhang, Pak-Wai Chan, Feng Chen

“…Additionally, a more comprehensive model-agnostic LIME method was used to elucidate the model from a local perspective. …”
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