HCRP-YOLO: A lightweight algorithm for potato defect detection by Haojie Liao, Guanping Wang, Siyu Jin, Yan Liu, Wei Sun, Sen Yang, Lu Wang

“…The method first introduces the lightweight HGNetv2 backbone network and incorporates a channel scaling feature to reduce model complexity, while dynamically adjusting the number of feature channels, thereby improving detection performance. …”
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Sign language detection dataset: A resource for AI-based recognition systemsMendeley Data by Bindu Garg, Manisha Kasar, Priyanka Paygude, Amol Dhumane, Srinivas Ambala, Jitendra Rajpurohit, Abhay Sharma, Vidula Meshram, Amber Vats, Achyut Kashyap

“…The dataset was then partitioned into 70 % training, 15 % validation, and 15 % test sets for maximizing model performance and ensuring good generalization. …”
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A TRIM Family-Based Strategy for TRIMCIV Target Prediction in a Pan-Cancer Context with Multi-Omics Data and Protein Docking Integration by Yisha Huang, Jiajia Xuan, Jiayan Liang, Xixi Liu, Yonglei Luo, Xuejuan Gao, Wanting Liu

“…Our models achieved robust prediction performance in cancers utilizing a fair feature space and circumventing hypothetical non-interacting pairs. …”
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Design and experimental research on the rocker arm walking mechanism of the wheeled inspection robot for the main transportation roadway of coal mines by YANG Rui, BAO Jiusheng, BAO Zhouyang, YIN Yan, ZHANG Lei, PAN Guoyu, YANG Jiao, GE Shirong

“…The system structure of the wheeled inspection robot was determined, with a focus on analyzing its walking system. Quantitative models for three walking mechanisms—crawler, wheeled-crawler, and rocker arm—were established. …”
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Detection of Water Content of Watermelon Seeds Based on Hyperspectral Reflection Combined with Transmission Imaging by Siyi Ouyang, Siwei Lv, Bin Li

“…Model performance is enhanced by Competitive Adaptive Reweighted Sampling (CARS), Unrelated Variable Elimination (UVE), and primary and intermediate data fusion methods. …”
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Advancing Healthcare: Intelligent Speech Technology for Transcription, Disease Diagnosis, and Interactive Control of Medical Equipment in Smart Hospitals by Ahmed Elhadad, Safwat Hamad, Noha Elfiky, Fulayjan Alanazi, Ahmed I. Taloba, Rasha M. Abd El-Aziz

“…Feature extraction through MLP and sequence classification with GRU highlighted the model’s robustness and capacity for detailed medical understanding. …”
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Leveraging Sentinel-1/2 time series and deep learning for accurate forest tree species mapping by Jun Tan, Jing Li, Tianyue Ma, Xingguang Yan, Ziye Huo

“…Specifically, temporal data from unlabeled forest pixels were used for pretraining the model through self-supervised learning, followed by fine-tuning with species samples, enhancing model performance. …”
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YOLOv8s-Longan: a lightweight detection method for the longan fruit-picking UAV by Jun Li, Jun Li, Jun Li, Kaixuan Wu, Meiqi Zhang, Hengxu Chen, Hengyi Lin, Yuju Mai, Linlin Shi

“…To improve the detection accuracy, a crossstage local network structure VOVGSCSPC module is designed, which can help the model better understand the information of the image through multiscale feature fusion and improve the perception and expression ability of the model. …”
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Spatial attention-guided pre-trained networks for accurate identification of crop diseases by Satrughan Kumar, S. S. Aravinth, Sreedhar Kollem, Munish Kumar, Quadri Noorulhasan Naveed, Azath Mubarakali, Abhishek Bhattacherjee, Addisu Frinjo Emma

“…Ablation studies further validate the significant contributions of the spatial attention module and the ancillary convolutional layer to the overall performance of the proposed model.…”
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A Comprehensive Overview of Co₃O₄ Nanoparticles: Solution Combustion Synthesis and Potential Applications by Togzhan T. Mashan, Muhammad Hashami, Nurgul S. Bergeneva, Nurgul N. Nurmukhanbetova, Aigul S. Beisebayeva, Meruyert Nazhipkyzy, Gulnar U. Mamatova, Aigerim G. Zhaxybayeva

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Assessment of ChatGPT-4 in Family Medicine Board Examinations Using Advanced AI Learning and Analytical Methods: Observational Study by Anthony James Goodings, Sten Kajitani, Allison Chhor, Ahmad Albakri, Mila Pastrak, Megha Kodancha, Rowan Ives, Yoo Bin Lee, Kari Kajitani

“…Addressing a gap in existing literature, where earlier artificial intelligence (AI) models showed limitations in medical board examinations, this study evaluates the enhanced features and potential of ChatGPT-4, especially in document analysis and information synthesis. …”
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Design a low-noise 5GHz wideband microwave power amplifier using 90nm CMOS technology with area reduction employing an active inductor by Taha Naufal Fadhil, A.Z. Yonis

“…Our results show that evolutionary algorithms greatly improve LNA performance by pointing to the best settings for maximizing gain and reducing noise. …”
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Strata pressure behavior law and regional-level intelligent early warning for high-intensity mining in extended working faces of medium-thick coal seams in Yuheng mining area by Feng CUI, Cheng ZONG, Xingping LAI, Tao XIE, Yunhu BAI, Yi ZHANG, Chong JIA, Hao WANG, Zhong LUO, Hao LIU

“…The engineering application performance test shows that the method accurately identifies the relatively strong pressure observed on site, and the error analysis also indicates that the prediction accuracy of the model is high, with an accuracy rate of up to 92.8%. …”
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FB-YOLOv8s: A fire detection algorithm based on YOLOv8s by Yuhang Liu, Chunjuan Bo, Chong Feng

“…First, the FasterNet lightweight network is introduced into the YOLOv8s network, merging the FasterNet Block structure of FasterNet with the original C2f modules to reduce the number of model parameters. Second, the Bi-directional Feature Pyramid Network (BiFPN) is incorporated to replace the Path Aggregation Network (PANet) in the neck network to enhance the model’s feature fusion capability. …”
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Grouped multi-scale vision transformer for medical image segmentation by Zexuan Ji, Zheng Chen, Xiao Ma

“…Additionally, we introduce Inter-Scale Attention (ISA) to facilitate cross-scale feature fusion, further improving segmentation performance. …”
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A review of machine learning applications in heart health by Ava Perrone, Taghi M. Khoshgoftaar

“…It suggests improvements, including the adoption of advanced sampling techniques and the use of comprehensive performance metrics. The findings suggest that despite extensive research on machine learning in cardiovascular health, there are gaps to be addressed in methodologies for data collection, preprocessing, model development, evaluation, and feature engineering.…”
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Facial recognition and analysis: A machine learning-based pathway to corporate mental health management by Zicheng Zhang, Tianshu Zhang, Jie Yang

“…Methods Utilizing the RetinaFace model for facial detection, the Dlib algorithm for feature extraction, and VGG16 for micro-expression classification, the system constructed a 10-dimensional emotion feature vector. …”
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Thyroid disease classification using generative adversarial networks and Kolmogorov-Arnold network for three-class classification by Aysel Topşir, Ferdi Güler, Ecesu Çetin, Mehmet Furkan Burak, Melih Ağraz

“…The results demonstrate that GAN-augmented datasets significantly improve classification accuracy, and the KAN model achieves superior performance and generalization capabilities compared to traditional neural networks. …”
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Identification of NAPL Contamination Occurrence States in Low-Permeability Sites Using UNet Segmentation and Electrical Resistivity Tomography by Mengwen Gao, Yu Xiao, Xiaolei Zhang

“…A semantic segmentation model with skip connections and multi-scale feature fusion was developed based on the UNet architecture to achieve automatic identification of contaminated areas. …”
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Advancing Corn Yield Mapping in Kenya Through Transfer Learning by Ahaan Bohra, Sophie Nottmeyer, Chenchen Ren, Shuo Chen, Yuchi Ma

“…(source domain). Feature variables, including time-series vegetation indices (VIs) and sequential meteorological variables from both domains, are used to pre-train and fine-tune the deep neural network model. …”
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