Sticky Trap-Embedded Machine Vision for Tea Pest Monitoring: A Cross-Domain Transfer Learning Framework Addressing Few-Shot Small Target Detection by Kunhong Li, Yi Li, Xuan Wen, Jingsha Shi, Linsi Yang, Yuyang Xiao, Xiaosong Lu, Jiong Mu

“…With sufficient samples in the language character domain, transfer learning can effectively enhance the tiny and complex feature extraction capabilities of deep networks in the pest domain and mitigate the few-shot learning problem in tea pest detection. …”
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Coking of high-viscosity water-containing oil by A. I. Nikolaev, B. V. Peshnev, E. V. Egorova

“…Objectives. A characteristic feature of oil production is an increase in the volume of highviscosity bituminous oil. …”
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Employing Siamese Networks as Quantitative Biomarker for Assessing the Effect of Dolphin-Assisted Therapy on Pediatric Cerebral Palsy by Jesús Jaime Moreno Escobar, Oswaldo Morales Matamoros, Erika Yolanda Aguilar del Villar, Hugo Quintana Espinosa, Liliana Chanona Hernández

“…Notably, the Siamese Network’s architecture ensures that comparisons are made within the same feature space, allowing for more accurate assessments. …”
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HA-CP-Net: A Cross-Domain Few-Shot SAR Oil Spill Detection Network Based on Hybrid Attention and Category Perception by Dongmei Song, Shuzhen Wang, Bin Wang, Weimin Chen, Lei Chen

“…In addition, to address the problem that it is difficult to distinguish between the suspected oil film in seawater and real oil film using few-shot due to the small difference in features, this paper proposes a double loss function category determination block, which consists of two parts: a well-designed category-perception loss function and a traditional cross-entropy loss function. …”
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Low-Damage Grasp Method for Plug Seedlings Based on Machine Vision and Deep Learning by Fengwei Yuan, Gengzhen Ren, Zhang Xiao, Erjie Sun, Guoning Ma, Shuaiyin Chen, Zhenlong Li, Zhenhong Zou, Xiangjiang Wang

“…The lightweight network Mobilenet is used as the feature extraction network to reduce the number of parameters of the network. …”
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Clinical profile and liver function assessment in children with typhoid fever by Ahmed Abdul Hadi Mohsen, Ghada Ali Yaqoob, Faris M. Al-Haris, Alaa Jumaah Manji Nasrawi

“…Typhoid fever is still a major health problem in developing countries, with significant morbidity and mortality. …”
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Lightweight and hybrid transformer-based solution for quick and reliable deepfake detection by Geeta Rani, Atharv Kothekar, Shawn George Philip, Vijaypal Singh Dhaka, Ester Zumpano, Ester Zumpano, Eugenio Vocaturo, Eugenio Vocaturo

“…This allows the model to capture fine-grained features and learn more effectively from the same set of videos. …”
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Use of filtration and electricity analogy in simulation of underflooding protection in urban construction by V. I. Sologaev

“…The fight against underflooding remains an urgent problem. The application of the analogy between water filtration and electric current has the goal of protecting the environment, built-up areas and, in particular, highways in cities from underflooding. …”
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Information and measuring system on the basis of strain sensors based on silicon microcrystals by A. O. Druzhinin, O. P. Kutrakov, S. I. Nichkalo, V. M. Stasiv

“…It is shown that the temperature dependence of relative change in the resistance of strain gauge resistors based on p-Si whiskers with resistivity of 0.005 Ω·cm is characterized by the smallest nonlinearity. This simplifies the problem of compensation of the temperature errors, which are typical for such sensors. …”
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Optimization of energy acquisition system in smart grid based on artificial intelligence and digital twin technology by Zhen Jing, Qing Wang, Zhiru Chen, Tong Cao, Kun Zhang

“…The improved lightweight target detection model is combined to monitor the equipment status of the smart grid and extract key features. Simultaneously utilizing convolutional attention mechanism to dynamically adjust the feature weights of channels or spaces, completing the preprocessing of energy harvesting data. …”
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A Comparative Study and Machine Learning Enabled Efficient Classification for Multispectral Data in Agriculture by Priyanka Gupta, Shruti Kanga, Varun Narayan Mishra

“…The increased availability of satellite imagery leads to a “Big Data” problem while producing crop maps. Now, cloud-based platforms have gained a lot of attention for crop classification over large regions. …”
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Deep Residual Transfer Ensemble Model for mRNA Gene-Expression-Based Breast Cancer by Job Prasanth Kumar Chinta Kunta, Vijayalakshmi A. Lepakshi

“…Executing standard pre-processing tasks, the synthetic underrepresented class over-sampling technique (SMOTE) was applied to alleviate any possible class-imbalance problem. Subsequently, ResNet101 and AlexNet deep networks were applied distinctly to extract respective features, which were later fused to yield composite ensemble feature. …”
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Analysis of social networks content to identify fake news using stacked combination of deep neural networks by Yujie Li, Yushui Xiao, Yong Huang, Rui Ma

“…Specifically, a Multilayer Perceptron (MLP) model is used for statistical feature analysis, and Convolutional Neural Network (CNN) models are used for GloVe and CNG features. …”
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Multi-modal prediction of breast cancer using particle swarm optimization with non-dominating sorting by Vijayalakshmi S, John A, Sunder R, Senthilkumar Mohan, Sweta Bhattacharya, Rajesh Kaluri, Guang Feng, Usman Tariq

“…The proposed particle swarm optimization and non-domination sorting with classifier technique model helps to select the most significant features relevant to breast cancer predictions. The selected features design the objective of the problem model. …”
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Novel integrative models to predict the severity of inflammation and fibrosis in patients with drug-induced liver injury by Yue Zhang, Chuan Lu, Jingying Xu, Qiqi Ma, Mei Han, Li Ying

“…Background and aimsDrug-induced liver injury (DILI) is becoming a worldwide emerging problem. However, few studies focus on the diagnostic performance of non-invasive markers in DILI. …”
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Economic burden of the novel coronavirus infection: a systematic review by V. M. Timiryanova, I. A. Lakman, N. Sh. Zagidullin, D. F. Gareeva

“…A feature of the proposed review design was the highlighting of the observed shortcomings and areas in which scientists make additions to the assessment methods taking into account the chronology of the pandemic determining changes in the information field. …”
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Development of an explainable machine learning model for predicting device-related pressure injuries in clinical settings by Yijie Qian, Hongying Pan, Jun Chen, Hongyang Hu, Mei Fang, Chen Huang, Yihong Xu, Yang Gao

“…Abstract Background Device-related pressure injury (DRPI) is a prevalent and severe problem for patients using medical devices. Timely identification of patients at high risk of DRPI is crucial for healthcare providers to make informed decisions and prevent DRPI quickly. …”
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Development of biodegradable magnesium alloy stents with coating by Lorenza Petrini, Wei Wu, Dario Gastaldi, Lina Altomare, Silvia Farè, Francesco Migliavacca, Ali Gökhan Demir, Barbara Previtali, Maurizio Vedani

“…Biodegradable stents are attracting the attention of many researchers in biomedical and materials research fields since they can absolve their specific function for the expected period of time and then gradually disappear. This feature allows avoiding the risk of long-term complications such as restenosis or mechanical instability of the device when the vessel grows in size in pediatric patients. …”
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DTCMMA: Efficient Wind-Power Forecasting Based on Dimensional Transformation Combined with Multidimensional and Multiscale Convolutional Attention Mechanism by Wenhan Song, Enguang Zuo, Junyu Zhu, Chen Chen, Cheng Chen, Ziwei Yan, Xiaoyi Lv

“…Nevertheless, when dealing with long wind-power sequences, their quadratic computational complexity (O(L²)) leads to low efficiency, and their global attention mechanism often fails to capture local periodic features accurately, tending to overemphasize redundant information while overlooking key temporal patterns. …”
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Multi-model MCDM framework for sustainable renewable energy selection in India: integrating CRITIC-EDAS-CODAS-CoCoSo by Shankha Shubhra Goswami, T. Tapankumar, N. Channa Keshava Naik, J. Gowrishankar, Nilesh Bhosle, Amrita Singh, G. Sanyasi Raju, D. Nagesh, A. Johnson Santhosh

“…The evaluation was based on six competing elements classified into three broad categories: mechanical features, economic considerations, and environmental implications. …”
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