A Detection Method for Sweet Potato Leaf Spot Disease and Leaf-Eating Pests by Kang Xu, Yan Hou, Wenbin Sun, Dongquan Chen, Danyang Lv, Jiejie Xing, Ranbing Yang

“…Finally, in the model architecture, only the structure of the backbone network and the decoupling head combination was retained, and the traditional backbone network was replaced by an efficient feature extraction module, which greatly reduced the model complexity. …”
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Construction of GAN‐RES and Its Application to Small Sample Fusulinid Fossil Recognition by Jiahui Xu, Yang Lu, Xu Xu

“…First of all, the generator of GAN is fully trained, using it to generate a large number of samples to expand the dataset, enriching the image features extracted by the model, and then through the neural network to analyze the image abstraction computation, and finally, the best fossil identification model is trained through multiple iterations. …”
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CNN-Based Transfer Learning for 3D Knuckle Recognition by Mohammed Y. Shakor, Nigar M. Shafiq Surameery

“…The automatic recognition of the 3D middle finger knuckle is a new biometric identifier that could offer a precise, practical, and efficient alternative for personal identification. …”
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Precision Weed Management for Straw-Mulched Maize Field: Advanced Weed Detection and Targeted Spraying Based on Enhanced YOLO v5s by Xiuhong Wang, Qingjie Wang, Yichen Qiao, Xinyue Zhang, Caiyun Lu, Chao Wang

“…However, in this farming mode, surface straw suppresses weed growth, affecting weed size and position distribution and obscuring the weeds, which hampers effective weed management in the field. Accurate weed identification and localization, along with efficient herbicide application, are crucial for achieving precise, efficient, and intelligent precision agriculture. …”
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AI-based estimation of forest plant community composition from UAV imagery by Lindo Nepi, Giacomo Quattrini, Simone Pesaresi, Adriano Mancini, Roberto Pierdicca

“…These findings demonstrate the potential of deep learning models, particularly ViT-B16 and VIT-H14, for efficient and scalable ecological monitoring and biodiversity assessments.…”
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SMaRT: Stick via Motion and Recognition Tracker by Fatih Emre Simsek, Cevahir Cigla, Koray Kayabol

“…This paper presents SMaRT (Stick via Motion and Recognition Tracker), a novel multi-object tracking (MOT) approach that integrates motion estimation and re-identification within a unified, efficient framework. …”
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A machine learning based variable selection algorithm for binary classification of perinatal mortality. by Maryam Sadiq, Ramla Shah

“…The identification of significant predictors with higher model performance is the key objective in classification domain. …”
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Deep learning-based analysis of insect life stages using a repurposed dataset by Fatin Faiaz Ahsan, Melissa L. Thomas, Hamid Laga, Ferdous Sohel

“…We repurposed the IP102 dataset by adding detailed annotations for four life stages — egg, larva, pupa, and adult — alongside the original species categories. Two deep learning models, based on ResNet50 and EfficientNetV2M, were tested for classification accuracy in this dual-layered identification task. …”
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Analog Circuits Fault Diagnosis Using ISM Technique and a GA-SVM Classifier Approach by Sabah Kouachi, Nacerdine Bourouba, Kamel Mebarkia, Imad Laidani

“…This is deduced from the Matlab identification system IS model (ISM), namely the OE model belonging to the ARMA model’s family. …”
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Small target detection of bearing surface defects based on improved YOLOv5s. by Haisong Xu, Xiaolin Shi, Han Zhang, Fan Yang, Yun Chen

“…Based on this, an improved YOLOv5s small target detection method ECN-YOLOv5s for bearing surface defects is proposed. First, an efficient channel attention mechanism (ECA) is inserted in the layer before the SPPF in the backbone network, which realizes efficient computation of channel attention and reduces redundant computation while decreasing the model complication. …”
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Research on the lightweight detection method of rail internal damage based on improved YOLOv8 by Xiaochun Wu, Shuzhan Yu

“…The model achieves an optimal balance between detection accuracy and computational efficiency, addressing the railroad industry’s demand for real-time defect detection and ensuring accurate flaw identification in resource-constrained Rail Fault Detection (RFD) vehicles.…”
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Disease Detection Algorithm for Tea Health Protection Based on Improved Real-Time Detection Transformer by Zhijie Lin, Zilong Zhu, Lingling Guo, Jingjing Chen, Jiyi Wu

“…This study presents an enhanced Real-Time Detection Transformer (RT-DETR), tailored for the accurate and efficient identification of tea diseases in natural environments. …”
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Multistage deep learning methods for automating radiographic sharp score prediction in rheumatoid arthritis by Hajar Moradmand, Lei Ren

“…The joint identification model achieved 99% accuracy. The ViT model achieved the best OSS prediction for patients with Sharp scores < 50. …”
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A robust covariate‐invariant gait recognition based on pose features by Anubha Parashar, Apoorva Parashar, Rajveer Singh Shekhawat

“…The proposed data set is used to train a classification model to predict the person in a new video by first processing it to get its identification vector and then to use it as a test case in the classification model. …”
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Comparison of MobilenetV2 and EfficiennetB3 Method to Classify Diseases on Corn Leaves by Riyadi Slamet, Mulya Rezka, Nabila Realisti Aulia

“…Therefore, to identify four forms of maize leaf disease, this study tested a CNN model using the EfficientNetB3 and MobileNetV2 architectures. …”
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Enhanced Yolov8 network with Extended Kalman Filter for wildlife detection and tracking in complex environments by Langkun Jiang, Li Wu

“…This study introduces the wilDT-YOLOv8n model, specifically engineered for the effective identification and tracking of animals. …”
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Fingerprint recognition using convolution neural network with inversion and augmented techniques by Reena Garg, Gunjan Singh, Aditya Singh, Manu Pratap Singh

“…Deep neural network architectures are used with proposed inversion methods and multi augmentation methods to classify the samples of fingerprints for personnel identification and verification. Pre-trained deep convolutional models like VGG16, VGG19, ResNet50 and InceptionV3 are fine-tuned with new processed fingerprint images for feature extraction and classification. …”
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Land Cover Classification for Identifying the Agriculture Fields Using Versions of YOLO V8 by Rohan Vaghela, Darsh Vaishnani, Parvathaneni Naga Srinivasu, Yashvi Popat, Jigar Sarda, Marcin Wozniak, Muhammad Fazal Ijaz

“…Based on the experimental performance, the YOLO V8 model is efficient in precisely recognizing various land cover, which result in offering a scalable and efficient approach for real-time agricultural field identification. …”
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A Linear Fitting Algorithm Based on Modified Random Sample Consensus by Yujin Min, Yun Tang, Hao Chen, Faquan Zhang

“…With proper hash functions designed, similar data points are mapped to the same hash bucket, thereby enabling the efficient identification and removal of outliers. RANSAC is then used to fit the model parameters of the processed dataset. …”
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Network flow optimization for restoration of images by Boris A. Zalesky

“…We present the new multiresolution network flow minimum cut algorithm, which is especially efficient in identification of the maximum a posteriori (MAP) estimates of corrupted images. …”
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