Cattle identification based on multiple feature decision layer fusion by Dongxu Li, Baoshan Li, Qi Li, Yueming Wang, Mei Yang, Mingshuo Han

“…The research results demonstrate that the multi-feature fusion recognition method has significant advantages in drinking and feeding farm environments, providing an efficient and reliable solution for precise identification and management of cattle in farms and significantly improving recognition accuracy and stability.…”
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Development of A Qr Code System for Tree Species Identification by Bukola Onyekwelu, Grace O. Alo, Flourish K. Echefu, Meshach Aderele, Israel O. Adetula, Jonathan C. Onyekwelu

“…The conventional methods of tree identification are time-consuming and requires a high level of expertise, necessitating development of a more efficient tree identification means. …”
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Speaker Identification and Verification Using Convolutional Neural Network CNN by Azhar S. Abdulaziz, Akram Dawood, Amar Daood

“…Speaker identification and verification work cooperatively so that the verifier will enhance the identifier model. …”
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Pest Identification Based on Fusion of Self-Attention With ResNet by Sk Mahmudul Hassan, Arnab Kumar Maji

“…The advent of Deep Learning (DL) techniques has revolutionized the field of computer vision, enabling automated and efficient pest recognition systems.In this research, we compared the effectiveness of many deep learning models and suggested an enhanced approach for more effective feature extraction. …”
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Pavement crack identification method based on IOtsu-Dd algorithm. by Yang Yang, Lin Wang, Qinghua Xiong

“…Rapid identification of highway cracks is greatly significant for highway maintenance. …”
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imanr: An R tool for the identification of Mexican native maize complexes by Arturo Sanchez-Porras, Aline Romero-Natale, Otilio Acevedo-Sandoval, Edlin Guerra-Castro

“…Using a national database, a model was implemented that leverages morphological and geographical variables to provide precise and rapid classifications. …”
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Unbiased identification of cell identity in dense mixed neural cultures by Sarah De Beuckeleer, Tim Van De Looverbosch, Johanna Van Den Daele, Peter Ponsaerts, Winnok H De Vos

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An automatic identification method of common species based on ensemble learning by Hao-Xuan Li, Mei Zhang, De-Yao Meng, Bo Geng, Zu-Kui Li, Chuan-Feng Huang, Wen-Kang Li, Han-Lin Jiang, Rong-Hai Wu, Xiao-Wei Li, Ben-Hui Chen, Deng-Qi Yang, Guo-Peng Ren

“…Deep learning offers a promising solution by accurately identifying species from large datasets, enhancing processing efficiency, and reducing costs. While existing deep learning methods have achieved significant success in species identification, they often struggle with accurately recognizing all species due to the class imbalance prevalent in camera trap datasets, which limits the application of deep learning models in biodiversity monitoring. …”
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A Vine-Copula Method for Outlier Identification in Photovoltaic Arrays by Haitao Li, Weiqiong Song, Le Zhao, Shuai Guo, Wei Song, Li Huang

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Application of machine learning for seam profile identification in robotic welding by Fatemeh Habibkhah, Mehrdad Moallem

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Phase Plane Method for the Parameter Identification of Strongly Nonlinear Systems by Tang Jiashi

“…A phase plane method is presented for the parameter identification of strongly nonlinear systems. The phase trajectory equation is taken as the mathematical model and the system parameters are identified by using the optimum technique. …”
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Study on Identification of Construction Method for Ultra-Large-Span Tunnel by Xu Chongbang, Qin Youlin

“…The construction method calculation results of the Malin tunnel, a practical underground project, are obtained according to the orthogonal test model calculation. Based on the method, Malin tunnel can be constructed safely and efficiently. …”
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DETERMINING PREFERENCES IN RECOMMENDER SYSTEMS BASED ON COMPARATOR IDENTIFICATION TECHNOLOGY by Vladimir Beskorovainyi, Lyudmyla Kolesnyk, Mariia Alokhina, Viktor Кosenko

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Improved ResNet algorithm based intelligent interference identification by Jian MA, Guangjin ZHANG, Lei ZHANG, Jingwei DAI

“…The labor cost of the current network operation and maintenance is high and the efficiency is low.How to quickly and accurately identify the type of network interference, and improve the work efficiency of the maintenance personnel has become an urgent problem to be solved.An intelligent interference identification method of improved deep residual network (ResNet) was studied.The interference data was collected and preprocessedby connecting with the communication interference data interface of the operator's northbound network management.The type of itwaslabelled and corrected by the current network experts to form an offline interference data set.Then the interference frequency domain information was used to generate the interference spectrum waveform image, and performed image processing and data processing for different interference types.After that, the traditional Res Net algorithm was improved according to the business characteristics to extract the features of single interference type.The features were weighted in the compound interference type to identify any type of interference.Finally, the interference data was identified online by importing the trained model, which effectively improved the accuracy and efficiency of interference identification.…”
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Instrumental Variable-Based OMP Identification Algorithm for Hammerstein Systems by Shuo Zhang, Dongqing Wang, Yaru Yan

“…To achieve in simultaneously identifying parameters and orders of the Hammerstein system and to promote the computational efficiency of the identification algorithm, a sparsity-seeking orthogonal matching pursuit (OMP) optimization method of compressive sensing is extended to identify parameters and orders of the Hammerstein system. …”
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Betta Fish Identification System Based On Convolutional Neural Network by Gilang Ardhi Saputra, I Made Artha Agastya

“…The system aims to improve accuracy and efficiency in the identification process. The research was divided into several experiments, where the data was split into 320 images for training, 80 for validation, and 100 for testing. …”
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Supply Chain Sustainability Drivers: Identification and Multi-Criteria Assessment by Nikita Osintsev, Aleksandr Rakhmangulov

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Identification of Megaconstellations in Wide-field Astronomical Images with Machine Learning by Liu Liu, Rongyu Sun, He Zhao

“…Here an automatic identification pipeline based on machine learning model ShuffleNet V2 is developed, after trained with large amount of raw data, high efficiency is achieved. …”
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Multi-axis compression fusion network for vehicle re-identification by Tengda Ma, Ke Sun, Xiyu Pang, Wei Si, Tongxin Liu, Cheng Wang

“…Abstract Vehicle re-identification (Re-ID) has become a challenging retrieval task due to the high inter-class similarity and low intra-class similarity among vehicles. …”
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A borehole image dataset for the intelligent identification of structural planes by Yi Cheng, Zengqiang Han, Yuyong Jiao, Shuangyuan Chen, Chao Wang

“…Recent advancements in computational techniques have facilitated the application of deep learning methods to automate structural planes recognition in borehole images, markedly enhancing identification efficiency and accuracy. However, the performance of current deep learning models remains constrained by dataset quality, which limits their broader applicability. …”
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