Comparative Study Between Vision Transformer and EfficientNet on Marsh Grass Classification by Conrad Testagrose, Mehlam Shabbir, Braden Weaver, Xudong Liu

“…In this study we compare the use of Vision Transformers (ViT) and two different EfficientNet models on automated marsh grass identification using the GTMNERR Marsh Grass Species data set. …”
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A Comparative Investigation of Transfer Learning Frameworks Using OCT Pictures for Retinal Disorder Identification by Ghadah Naif Alwakid, Mamoona Humayun, Walaa Gouda

“…A MobileNetV2 model’s detection accuracy on the test set is 100%; an InceptionNetV3 model’s is 99.9%; an EfficientNet model’s is 99.38%; and a DenseNet model’s is 99.79%. …”
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Construction and Application Analysis of an Intelligent Distribution Network Identification System Based on Deep Neural Networks by Yu Ma

“…METHODS: First, light GBM was used for feature selection to reduce computational complexity and improve learning efficiency. Then, a DNN model was constructed for topological identification and enhances the model scalability through incremental and transfer learning mechanisms. …”
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A Fast Power Market Clearing Method Based on Active Constraints Identification by Deep Learning by Yunliang WU, Jianxin ZHANG, Bao LI, Peng LI, Zhiyong LI, Xin ZHOU, Yan YANG, Xiaowen LAI

“…The deep neural network is used to pre-identify the active constraints of the SCED model, which is beneficial to reduce the complexity of the model and improve the calculation efficiency of market clearing.…”
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Machine learning technique for the identification of two-phase (oil-water) flow patterns through pipelines by Daniel Yesid Uribe-Tarazona, Carlos Mauricio Ruiz-Diaz, Octavio Andrés González-Estrada

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Multiclass semantic segmentation for prime disease detection with severity level identification in Citrus plant leaves by P. Dinesh, Ramanathan Lakshmanan

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Improving medical night handover: strengthening teamwork, efficiency and critical patient care by Daisy Moran, Anthony Ng, Alex Barclay, Shamira Ghouse

“…All respondees thought that the new structure improved the identification of unwell patients and the triaging of jobs. …”
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Identification and automatic recognition of discontinuities from 3D point clouds of rock mass exposure by Peitao Wang, Boran Huang, Yijun Gao, Meifeng Cai

“…The identification and optimization of discontinuity groups were performed using three key parameters, i.e. …”
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Navigating the Challenges and Opportunities of Tiny Deep Learning and Tiny Machine Learning in Lung Cancer Identification by Yasir Salam Abdulghafoor, Auns Qusai Al-Neami, Ahmed Faeq Hussein

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Fast and Accurate Identification of Kiwifruit Diseases Using a Lightweight Convolutional Neural Network Architecture by Kangchen Liu, Li Li, Xiujun Zhang

“…Traditional disease identification methods, which rely on human expertise, are time-consuming and lack scalability. …”
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Research on Reservoir Hydrocarbon-Bearing Property Identification Method Based on Logging Data and Machine Learning by Chunyong Yu, Kaixuan Qu, Li Peng

“…This suggests that this method has sufficient precision for the identification of hydrocarbon-bearing property categories in formations, providing a more efficient classification method for the hydrocarbon-bearing property of reservoirs compared to manual identification.…”
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A Machine Learning Framework for Urban Ventilation Corridor Identification Using LBM and Morphological Indices by Bu Yu, Peng Xie

“…To address this limitation, this study proposes a morphology-driven, machine learning-based framework for ventilation corridor identification. The method integrates Lattice Boltzmann Method (LBM) simulations, neighborhood-based feature normalization, and a random forest regression model to establish a predictive relationship between morphological indices and wind speed distributions under prevailing wind conditions. …”
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Grape Leaf Diseases Identification System Using Convolutional Neural Networks and LoRa Technology by Zinon Zinonos, Socratis Gkelios, Ala F. Khalifeh, Diofantos G. Hadjimitsis, Yiannis S. Boutalis, Savvas A. Chatzichristofis

“…Based on the evaluation, the proposed framework proved that the transmission of images using LoRa is possible within the protocol limitations (such as limited bandwidth and low duty cycle). Our fine-tuned model can efficiently identify grape leaves diseases. …”
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Identification of bald patches in degraded alpine meadows by UAV-based remote sensing and deep learning by Lu Wang, Lulu Cui, Zihan Song, Min Zheng, Chengyi Li, Xilai Li

“…This study provides a new method for the identification of alpine meadow bald patches.…”
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Key method of digitization of power distribution panel with artificial intelligence identification for power communication network by LIU Lin, YANG Zhimin, HUANG Qiang, YANG Jingwei, CHEN Yitong

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Coffee plant disease identification with an attentive multi-image segmentation framework (MISF) with CycleGAN by Savitri Kulkarni, P. Deepa Shenoy, K.R. Venugopal

“…Integrating an attention mechanism allows the model to focus selectively on pertinent regions, contributing to improved ac curacy in disease identification. …”
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Kernel-based response extraction approach for efficient configurable ring oscillator PUF by Enas Abulibdeh, Hani Saleh, Baker Mohammad, Mahmoud Al-Qutayri, Asif Hussain

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Crime Type Identification Using High-Order Deep Residual Network with Multiple Attention Algorithm by Dawei Qiu, Chang Liu, Yuangfeng Shang, Zixu Zhao, Jinlin Shi

“…Crime type identification is crucial for improving public safety through more accurate prevention and efficient responses. …”
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AMMI analysis of G × E interaction and identification of fodder cowpea genotypes for phosphorus deficient condition by J. S. Suvadra1, Swarnalata Das2*, Dayanidhi Mishra1, Kailas Samal3, Manasi Dash1, Rajkumari Bhol4 and Sourav Ranjan Nanda1

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Parameter identification of PV solar cells and modules using bio dynamics grasshopper optimization algorithm by Mostafa Jabari, Amin Rad, Morteza Azimi Nasab, Mohammad Zand, Sanjeevikumar Padmanaban, S. M. Muyeen, Josep M. Guerrero

“…This paper emphasizes the advantages of solar energy, especially photovoltaic (PV) systems, which have become pivotal in hybrid energy systems. However, accurate modelling and identification of PV cell parameters pose challenges, prompting the adoption of meta‐heuristic optimization algorithms. …”
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