A novel approach for music genre identification using ZFNet, ELM, and modified electric eel foraging optimizer by Shuang Zhang, Zhiyong Sun, Hasan Jafari

“…The present research suggests a new method for music genre identification via integrating deep learning models with a metaheuristic algorithm. …”
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Automated Identification and Analysis of Cracks and Damage in Historical Buildings Using Advanced YOLO-Based Machine Vision Technology by Kui Gao, Li Chen, Zhiyong Li, Zhifeng Wu

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A Novel ConvXGBoost Method for Detection and Identification of Cyberattacks on Grid-Connected Photovoltaic (PV) Inverter System by Sai Nikhil Vodapally, Mohd. Hasan Ali

“…For example, the proposed model is efficient with an accuracy of 99.25% compared to the 97.76% of CNN and 99.12% of DT during a DoS attack on a smart PV system. …”
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Frailty identification using a sensor-based upper-extremity function test: a deep learning approach by Mehran Asghari, Hossein Ehsani, Nima Toosizadeh

“…Our findings demonstrate that integrating UEF tasks with deep learning models provides superior frailty prediction, potentially offering a robust, efficient clinical tool. …”
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Three-dimensional reconstruction and structural surface identification of high steep slopes based on UAV close-range photogrammetry by Linfeng WANG, Hui JIANG, Ning TANG, Xiaoming HUANG, Guojin TAN

“…To address the challenges of high risk and low efficiency of high steep slopes investigation, this study proposes a method of three-dimensional reconstruction and structural plane identification of high steep slope based on UAV close-range photogrammetry. …”
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Identification of Androgen Receptor as a Molecular Docking Target for Survival and Response to Metformin‐Induced Ferroptosis in Liver Cancer by Bin Zhang, Zehao Yu, Jinghui Zhang, Yini Xu, Mengna Zhang, Zhiqi Dai, Jiyun Zhu, Siming Zheng

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Hybrid Integrated Feature Fusion of Handcrafted and Deep Features for Rice Blast Resistance Identification Using UAV Imagery by Peng Zhang, Zibin Zhou, Huasheng Huang, Yuanzhu Yang, Xiaochun Hu, Jiajun Zhuang, Yu Tang

“…While previous studies have attempted to combine handcrafted and deep features to address problems with data insufficiency and class imbalances, image degradation still prevents the network from learning efficient representations for disease identification. …”
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A Semiactive and Adaptive Hybrid Control System for a Tracked Vehicle Hydropneumatic Suspension Based on Disturbance Identification by Shousong Han, Zhiqiang Chao, Xiangbo Liu

“…To enhance the adaptability of suspension systems to different riding conditions, a semiactive and self-adaptive hybrid control strategy based on disturbance velocity and frequency identification was proposed. A mathematical model of the semiactive, self-adaptive hybrid suspension control system, along with a performance evaluation function, was established. …”
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Semi-Supervised Anomaly Detection for the Identification of Damages in an Aerospace Sandwich Structure Based on Synthetically Generated Strain Data by Florian Forsthuber, Christoph Kralovec, Martin Schagerl

“…The structural health monitoring (SHM) of safety relevant composite components is becoming increasingly relevant as it enables in-service diagnosis and data acquisition capabilities, contributing to the optimization and efficient operation of the overall system and ultimately saving costs and resources. …”
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Herbify: an ensemble deep learning framework integrating convolutional neural networks and vision transformers for precise herb identification by Farhan Sheth, Ishika Chatter, Manvendra Jasra, Gireesh Kumar, Richa Sharma

“…Additionally, the research also introduces ‘Herbify’ application, an AI-driven framework designed to identify herbs using the developed model. By directly tackling the principal obstacles in herb identification, the proposed system achieves a highly accurate and operationally viable classification mechanism. …”
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Performance evaluation of anti-avalanche measures at the «Krasnaya Polyana» ski resort by D. I. Korovina, A. S. Turchaninova, S. A. Sokratov

“…The following materials were used for this work: the results of field survey in 2019, which made it possible to map the resort's infrastructure exposed to possible snow avalanches and protected by existing preventive (anti-avalanche) measures, experience of similar studies from other regions as well as identification of the avalanche release zones by means of digital elevation model and analysis of remote sensing data, archive data on the snow avalanches regime at the site, and numerical modeling of the snow avalanches with different starting conditions. …”
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GCNTrack: A Pig-Tracking Method Based on Skeleton Feature Similarity by Zhaoyang Yin, Zehua Wang, Junhua Ye, Suyin Zhou, Aijun Xu

“…Three identical FOV sets of data that separately included long, medium, and short duration videos were used to test the model and verify its performance. The GcnTrack method achieved a Multiple Object Tracking Accuracy (MOTA) of 84.98% and an identification F1 Score (IDF1) of 82.22% for the first set of videos (short duration, 87 s to 220 s). …”
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An approach for accurate identification and monitoring of species in mangrove forests based on multi-source spectral data and deep learning by Monterrubio-Martínez Erandi, Trujillo-Acatitla Rubicel, Tuxpan-Vargas José, Moreno-Casasola Patricia

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A Multisource Dynamic Fusion Network for Urban Functional Zone Identification on Remote Sensing, POI, and Building Footprint by Hangfeng Qiao, Huiping Jiang, Gang Yang, Faming Jing, Weiwei Sun, Chenyang Lu, Xiangchao Meng

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Characterization of Anisotropy in Additively Manufactured Materials through Instrumented Indentation Testing by Zhuoshao Cai, Zhiwei Yang, Liang Meng, Kaijie Lin, Yuliang Hou, Thaneshan Sapanathan, Jihong Zhu, Weihong Zhang

“…To avoid the repetitive and redundant tensile testing on specimens prepared along diverse directions, this study proposes an instrumented indentation-based inverse identification method for the efficient characterization of additively manufactured materials. …”
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THE EFFICIENCY IMPROVING OF PILOTS AND CADETS TRAINING TO SAFETY CONTROL USING THE MODIFICATIONS OF CLASSICAL METHOD OF "ROY" (PSO) by V. V. Yurasov, L. A. Yurasova

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Enhanced Efficiency in SMEs Attendance Monitoring: Low Cost Artificial Intelligence Facial Recognition Mobile Application by Hong-Danh Thai, Yeong-Seok Seo, Jun-Ho Huh

“…The experimental findings provide empirical evidence that our system exhibits accuracy and efficiency in the tasks of facial identification and personnel matching. …”
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Automatic Comparative Chest Radiography Using Deep Neural Networks by Redwan Sony, Carolyn V. Isaac, Alexis Vanbaarle, Clara J. Devota, Todd Fenton, Joseph T. Hefner, Arun Ross

“…Our experiments reveal several compelling findings: (a) the thoracic vertebrae from T1-T5 results in better recognition performance compared to other regions; (b) Efficient Nets result in better recognition accuracy compared to ResNets and DenseNets; and (c) an ensemble of models based on different networks and different ROIs further improves recognition accuracy. …”
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Optimized classification of potato leaf disease using EfficientNet-LITE and KE-SVM in diverse environments by Gopal Sangar, Velswamy Rajasekar

“…Inconsistent data in uncontrolled contexts undermines classic image classification techniques, hindering precise illness detection.MethodsWe present a novel model that integrates EfficientNet-LITE for enhanced feature extraction with KE-SVM Optimization for effective classification. …”
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Using DIC-based FEM to determine work-hardening parameters in structural steels by E. Fagerholt, D. Morin, V. Aune, T. Børvik, O. S. Hopperstad

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