NIRS identification of cashmere and wool fibers based on spare representation and improved AdaBoost algorithm by Zhu Yaolin, Li Zheng, Chen Xin, Chen Jinni, Zhang Hongsong

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Visual Attention Focusing on Fine-Grained Foreground and Eliminating Background Bias for Pest Image Identification by Xinyuan Xu, Heng Li, Qi Gao, Meixuan Zhou, Tianyue Meng, Liping Yin, Xinyu Chai

“…In this study, we propose a pest identification model guided by visual attention, designed to address the above challenges. …”
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Gas source and contribution identification for coal measure gas commingled production in Wulihou mining area by NI Xiaoming, FENG Dong, HAO Shaowei, WANG Kai, SU Erlei

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Optimizing Fingerprint Identification: CNNs With Raw Images Versus Handcrafted Features for Real-Time Systems by Shaik Salma, Tauheed Ahmed, Garimella Ramamurthy

“…Fingerprint identification is a cornerstone in various domains such as security, forensics, and authentication. …”
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Effective Machine Learning Solution for State Classification and Productivity Identification: Case of Pneumatic Pressing Machine by Alexandros Kolokas, Panagiotis Mallioris, Michalis Koutsiantzis, Christos Bialas, Dimitrios Bechtsis, Evangelos Diamantis

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Prospective study using artificial neural networks for identification of high-risk COVID-19 patients by Mateo Frausto-Avila, Roberto de J. León-Montiel, Mario A. Quiroz-Juárez, Alfred B. U’Ren

“…Machine learning (ML) has been crucial in developing new technologies to address challenges posed by the pandemic, particularly in identifying high-risk COVID-19 patients. This identification is vital for efficiently allocating hospital resources and controlling the virus’s spread. …”
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Identification of television images in vision systems based on mathematical apparatus of cubic normalized B-splines by Vladimir A Krutov, Dmitry A Bezuglov, Oleg V. Shvachko

“…The solution to the problem of television images identification under the creation of autonomous robots, vision systems, and noisy image analysis systems is considered. …”
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Dynamic identification method for flow patterns of liquid-solid two-phase flow in horizontal pipelines by ZHUJUNLIANG Junliang, ZHAOZHIFENG, WANGSHUGANG, JIANG Shuang

“…Compared with experimental and numerical simulation methods, the identification method of liquid-solid two-phase flow patterns based on DMD has significant advantages in data processing, accuracy, efficiency, and applicability. …”
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Strategies for Automated Identification of Food Waste in University Cafeterias: A Machine Vision Recognition Approach by Yongxin Li, Chaolong Zhang, Hui Xu, Yuantong Yang, Han Lu, Lei Deng

“…The system operates by obtaining images of plates (whether clean or not) and the diners’ faces through multi-directional monitoring, then employs several deep learning models for the automatic localization and identification of the plates. …”
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Application of the joint clustering algorithm based on Gaussian kernels and differential privacy in lung cancer identification by Hang Yanping, Zheng Haixia, Yang Minmin, Wang Nan, Kong Miaomiao, Zhao Mingming

“…DPFCM_GK still maintains excellent time efficiency when applied to the NLST and NSCLC datasets(P < 0.05). …”
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Evaluating the use of automated plant identification tools in biodiversity monitoring—a case study in Switzerland by Manuel R. Popp, Niklaus E. Zimmermann, Philipp Brun

“…Up to 85% of species observations were correctly identified when multiple images were supplied. While all identification providers correctly identified > 90% of the species at least once, we found models with a narrower geographic scope and coarser taxonomic resolution to reach higher identification accuracy. …”
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Real-Time Identification of Look-Alike Medical Vials Using Mixed Reality-Enabled Deep Learning by Bahar Uddin Mahmud, Guanyue Hong, Virinchi Ravindrakumar Lalwani, Nicholas Brown, Zachary D. Asher

“…This study addresses these challenges by introducing a real-time deep learning-based vial identification system, leveraging a Lightweight YOLOv4 model optimized for edge devices. …”
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Rule-Based Multi-Task Deep Learning for Highly Efficient Rice Lodging Segmentation by Ming-Der Yang, Hsin-Hung Tseng

“…This study proposes rule-based multi-task deep learning for highly efficient rice lodging identification by introducing prior knowledge to improve the efficiency of disaster investigation using unmanned aerial vehicle (UAV) images. …”
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Assessing the Logistics Efficiency of Baltic Region Seaports Through DEA-BCC and Spatial Analysis by Vilma Locaitienė, Kristina Čižiūnienė

“…The model developed by the authors integrates the nearest neighbour method for cluster identification, data envelopment analysis using the Banker, Charnes, and Cooper (DEA-BCC) model to assess the overall technical, pure technical, and scale logistics efficiency, and spatial autocorrelation analysis to explore spatial interactions. …”
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Efficient urinary stone type prediction: a novel approach based on self-distillation by Kun Liu, Xuanqi Zhang, Haiyun Yu, Jie Song, Tianxiao Xu, Min Li, Chang Liu, Shuang Liu, Yucheng Wang, Zhenyu Cui, Kun Yang

“…Deep learning has shown promise in classifying urolithiasis from CT images, yet faces challenges with model size and computational efficiency in real clinical settings. …”
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Model-Order Reduction of Multistage Cascaded Models for Digital Predistortion by Raul Criado, Wantao Li, William Thompson, Gabriel Montoro, Kevin Chuang, Pere L. Gilabert

“…The advantages of employing CC DPD models with gradient descent parameter identification, as opposed to single-stage DPD models with least squares parameter identification, are extensively demonstrated and analyzed. …”
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An efficient hybrid Hopfield convolutional neural network for detecting spam bots in Twitter platform by A.V. Santhosh Kumar, N. Suresh Kumar, R. Kanniga Devi

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MFPSP: Identification of fungal species-specific phosphorylation site using offspring competition-based genetic algorithm. by Chao Wang, Quan Zou

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Predictive Maintenance of HVAC Systems using Deep Learning for Optimized Building Energy Efficiency by Seyed Abolfazl Aghili, Amin Haji Mohammad Rezaei, Mostafa Khanzadi

“…Most notably, the GRU approach showed higher accuracy in the identification of faults compared to LSTM. The framework's accurate identification of the occurrence as well as the nature of the faults is an improvement in the efficiency of the building.…”
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Study on Micropore Throat Fluid Seepage Characteristics and Oil Displacement Efficiency in Tight Reservoir by Jin Han, Yuhang Wei, Xiaobing Chen

“…In order to overcome the problems including complicated pore throat structure, changeable seepage characteristics, and difficulty to find seepage law in the tight reservoir, this study simulated the water flooding development process of oilfield reservoir, and the water flooding seepage experiment of real sandstone microscopic model was carried out in a laboratory. Thin slice identification, constant velocity mercury injection, physical property analysis, scanning electron microscope, and other test data were combined to study the reservoir microscopic water flooding characteristics. …”
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