A rapid, low-cost deep learning system to classify strawberry disease based on cloud service by Guo-feng YANG, Yong YANG, Zi-kang HE, Xin-yu ZHANG, Yong HE

“…This involves designing an easy-to-use cloud-based strawberry disease identification system, combined with our novel self-supervised multi-network fusion classification model, which consists of a Location network, a Feedback network and a Classification network to identify the categories of common strawberry diseases. …”
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Optimization of the Canopy Three-Dimensional Reconstruction Method for Intercropped Soybeans and Early Yield Prediction by Xiuni Li, Menggen Chen, Shuyuan He, Xiangyao Xu, Panxia Shao, Yahan Su, Lingxiao He, Jia Qiao, Mei Xu, Yao Zhao, Wenyu Yang, Wouter H. Maes, Weiguo Liu

“…The proposed method offers an efficient and reliable technical reference for acquiring 3D structural information of soybeans in strip intercropping systems and contributes to the accurate identification of soybean germplasm resources, providing substantial theoretical and practical value.…”
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Research on the generation and annotation method of thin section images of tight oil reservoir based on deep learning by Tao Liu, Zongbao Liu, Kejia Zhang, Chunsheng Li, Yan Zhang, Zihao Mu, Mengning Mu, Mengting Xu, Yue Zhang, Xue Li

“…The use of deep learning technology for intelligent identification of thin section images is a development trend of mineral identification. …”
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An Effective Method for Detecting Cyber Attacks on Computer Networks from the NSL-KDD Data Set by Shaik Aseena Babu, Reddy Rajeswara, Vullam Nagagopi Raju, Reddy Gondi Konda, Shaik Subhani

“…Logistic regression is used to resolve the issue of intrusion identification and a novel research model for intrusion identification. …”
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An Attention-Based Spatial-Spectral Joint Network for Maize Hyperspectral Images Disease Detection by Jindai Liu, Fengshuang Liu, Jun Fu

“…These results proved the validity of the proposed model, and it is accomplished efficiently for pest-infected maize detection. …”
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Analysis of the effects of digital transformation of enterprise clusters on innovation performance in the context of “Internet+” by Sumei Zeng, Jinding Bao

“…The results of regression analysis show that the positive impact factor of enterprise cluster cooperation atmosphere on enterprise efficiency is enterprises (P < 0.05). To summarize the findings, both the collaborative environment and the identification of enterprise clusters have a significant positive impact on enterprise efficiency (P < 0.01). …”
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Intelligent Prediction of Lost Circulation and Gas Invasion in Cementing Operations Based on ACO-SWXGBoost by Wei Ji, Mengyuan Xiong, Shuangjin Zheng

“…Furthermore, SHAP analysis confirms a strong alignment between model predictions and field knowledge, highlighting the critical role of pressure, flow rate, and density in anomaly identification. …”
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Enhancing the e-commerce shopping experience with IoT-enabled smart carts in smart stores by Jian Wang

“…A neuro-fuzzy approach is employed to evaluate the efficiency of the proposed model. The neural network model is trained using a dataset split into three segments: 65% for training, 15% for validation, and 20% for testing. …”
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Exploring Shared Bicycle Travel Patterns from a Multidimensional Spatiotemporal Interaction Perspective Based on Tensor Decomposition: A Case Study of Central Shenzhen Area by Zheng Jixiang, Tao Haiyang, Zhuo Li, Shi Yufei, Bao Han, Huang Runjie

“…The findings of this study have important implications for urban planners and bike-sharing operators. The clear identification of high-usage areas and peak times can inform more efficient bike redistribution strategies, ensuring that bikes are available where and when they are most needed. …”
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Microwave-Assisted Synthesis, Characterization, and Biological Activity of New Copper (II) Complex with Sulfonamide by Rania Bahadi, Malika Berredjem, Rayenne Redjemia, Chahrazed Benzaid

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Revisiting the approaches to DNA damage detection in genetic toxicology: insights and regulatory implications by Sulaiman Mohammed Alnasser

“…Coupling conventional screening with artificial intelligence (AI) and machine learning (ML) models has significantly enhanced their predictive capabilities, enabling the identification of genotoxicity signatures tied to molecular structures and biological pathways. …”
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Digitalization and Optimization of HR at ONIP (DRC): An Integrated Mathematical Approach by Evariste Sindani, Simon Ntumba Badibanga, Pierre Kafunda Katalay, Eugène Mbuyi Mukendi

“…This study proposes an integrated approach to digitalizing human resources (HR) in African public institutions by developing a performance optimization model. Based on five key variables—processing time, operational cost, service quality, degree of automation, and employee satisfaction—this model aims to enhance the overall efficiency of HR processes. …”
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Back-Analysis of Parameters of Jointed Surrounding Rock of Metro Station Based on Random Forest Algorithm Optimized by Cuckoo Search Algorithm by Xinping Guo, Annan Jiang, Xiang Liu

“…In this paper, a new back-analysis method of joint parameters of the ubiquitous-joint model is proposed. This study combines the ubiquitous-joint model, random forest algorithm (RF), and cuckoo search algorithm (CS) to construct the parameters identification method of a jointed rock mass. …”
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Predicting future evapotranspiration based on remote sensing and deep learning by Xin Zheng, Sha Zhang, Shanshan Yang, Jiaojiao Huang, Xianye Meng, Jiahua Zhang, Yun Bai

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LiteTom-RTDETR: A Lightweight Real-Time Tomato Detection System for Plant Factories by Wenshuai Liu, Qingzheng Liu, Wenyong Quan, Junli Wang, Xiaomin Yao, Qiang Liu, Yuxiang Tian

“…The proposed LiteTom-RTDETR model was shown to balance high tomato identification accuracy (88.2%) with an excellent real-time inference speed (52.2 frames per second) and computational efficiency (36.3 GFLOPs). …”
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Remaining Useful Life Prediction and Fault Diagnosis of Rolling Bearings Based on Short-Time Fourier Transform and Convolutional Neural Network by Shuang Zhou, Maohua Xiao, Petr Bartos, Martin Filip, Guosheng Geng

“…Then, the training time-frequency maps were used as an input of the CNN to train the network model. Finally, the time-frequency maps of testing signals were inputted into the network model to complete the life prediction or fault identification of rolling bearings. …”
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Fundoscopy in the smartphone age: current ophthalmoscopy methods in neurology by Richard Henrik Corr

“…This approach allows adequate identification of the structures of the fundus, is cost-efficient, easy to implement, and permits easy recording and sharing of the images obtained, which is useful for case discussions and medical teaching. …”
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Investigating Single-Molecule Molecular Inversion Probes for Medium-Scale Targeted DNA Methylation Analysis by Roy B. Simons, Hieab H. H. Adams, Manfred Kayser, Athina Vidaki

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Machine Learning Innovations for Improving Mineral Recovery and Processing: A Comprehensive Review* by Korie, Josephmartin Izuchukwu*, Chudi-Ajabor, Ogochukwu Gabriela, Ezeonyema, Chukwudalu Chukwuekezie, Oshim, Francisca Ogechukwu

“…This attempt unveils that ML algorithms are extensively utilized in enhanced ore sorting and classification, predictive modeling, real-time process control and fault diagnosis, and automated mineral identification. …”
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Textual similarity for legal precedents discovery: Assessing the performance of machine learning techniques in an administrative court by Hugo Mentzingen, Nuno António, Fernando Bacao, Marcio Cunha

“…However, with the growing volume of cases, manual identification becomes a bottleneck, prompting the need for automation. …”
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